National Science Foundation

The National Science Foundation (NSF), established in 1950 and located in Alexandria, Virginia, is an independent federal agency dedicated to advancing fundamental research and education across all scientific and engineering disciplines. With an annual budget of approximately $7.8 billion, the NSF operates America's Seed Fund, which allocates nearly $200 million each year to support startups and small businesses through the Small Business Innovation Research (SBIR) program. This initiative provides non-dilutive funding of up to $1.5 million to assist in research and development efforts, thereby facilitating the transformation of scientific discoveries into commercially viable products and services. By helping to de-risk technology, the NSF plays a crucial role in fostering innovation and addressing societal challenges through scientific advancements.

James Donlon

Program Director

Sean L. Jones

Assistant Director for Mathematical and Physical Sciences

Sethuraman Panchanathan

Director

Ben Schrag Ph.D

Program Director and Policy Liaison, SBIR / STTR

Past deals in Machine Learning

Samay

Grant in 2022
Respira Labs, Inc. is a company focused on developing innovative solutions for managing chronic obstructive pulmonary disease (COPD). Based in Mountain View, California, the company has created Sylvee, a wearable device that utilizes advanced technology to continuously monitor lung function and predict COPD exacerbation attacks in real-time. This device is equipped with non-invasive acoustic sensors and employs techniques such as audio signal processing and machine learning to detect "trapped air," an early indicator of potential COPD issues. By enabling early intervention and prevention of exacerbations, Respira Labs aims to enhance patient quality of life and health outcomes while also reducing healthcare costs. Founded in 2018, the company is positioned to transform the landscape of COPD management through its innovative approach.

Resolved Analytics

Grant in 2022
model.explore.predict The 1st industrial revolution used water and steam to mechanize production. The 2nd used electric power to create mass production. The 3rd used electronics and information technology to automate production. A 4th is now taking shape as a fusion of technologies blurring the lines between the physical and digital spheres. Our mission is to help companies capture the efficiency and production gains that IR 4.0 promises. The commoditization of computing power is enabling, for the first time, algorithmically driven product optimization using high-fidelity simulations such as CFD and FEM modeling. We make that vision and others a reality for our customers. Talk to us to find out how combining artificial intelligence, computational engineering and data analytics and visualization can keep you ahead of the competition.

Ambi Robotics

Grant in 2022
Ambidextrous Laboratories, Inc. is a company based in Berkeley, California, founded in 2018. It specializes in developing software that enables AI-based robotic picking specifically for e-commerce applications. By focusing on advanced control systems for object manipulation, Ambidextrous aims to enhance how robots interact with their environments, thereby improving efficiency in various logistical processes.

Lambda Function

Grant in 2021
Lambda Function specializes in industrial automation software that enhances autonomous precision manufacturing. The company's software integrates advanced analytics and physics-based machine learning with real-time process parameter data from CNC machines and contextual data from Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems. This comprehensive approach supports effective decision-making in manufacturing engineering and operations. By leveraging these technologies, Lambda Function enables machine shops to boost productivity and improve machining autonomy, ultimately facilitating more efficient manufacturing processes.

GrayMatter Robotics

Grant in 2021
GrayMatter Robotics creates solutions to assist humans in tedious and ergonomically challenging tasks. It develops robotic brains for industrial robots designed to allow them to transform into smart assistants for high-mix low-volume manufacturing applications. It makes AI-brains for robots to make them smart, easy to use and rapidly deployable for complex operations, enabling users to improve their quality of life by leveraging robotics and artificial intelligence. The company was founded in 2020 and is based in Los Angeles, California.

Capti

Grant in 2021
Capti Voice is an accessible reading platform dedicated to supporting struggling readers in enhancing their comprehension and reading skills. Founded in 2006 and based in Stony Brook, New York, the company offers a personalized reading support tool that harnesses machine learning, artificial intelligence, and natural language processing. This innovative platform provides features such as adaptive vocabulary games, contextual translation, and language detection, allowing users to engage with text in an interactive and inclusive manner. Capti Voice aims to make reading more accessible for individuals facing learning disabilities, ultimately fostering improved literacy outcomes.

Kintsugi

Grant in 2021
Kintsugi utilizes machine learning and voice biomarkers to detect clinical depression and anxiety, providing innovative talk therapy software to users in over 250 cities worldwide. By analyzing short clips of free-form speech, the company has developed a mental healthcare infrastructure that identifies signs of these conditions, thereby assisting medical practitioners in addressing gaps in mental health care. Kintsugi has amassed the world's largest longitudinal, annotated voice data set for this purpose, resulting in the creation of a clinical-grade voice biomarker diagnostic, which is currently pending patent and FDA approval. This technology aims to measure the severity of depression and anxiety in real-time, offering a more effective approach to mental health assessment and intervention.

CoCoPie

Grant in 2021
CoCoPIE is a startup developing a platform to optimize AI models for edge devices. CoCoPIE reduces the expected time to market in order to meet if not exceed demand for applications.

Maijker

Grant in 2021
Maijker Corp commercializes groundbreaking AI and sensor technology research. The company uses Industry Standards to develop novel approaches to applying AI to specific manufacturing problems.

Contextualize

Grant in 2021
Contextualize provides the tools needed to capture the expertise spread across an organization and make it accessible and usable to others across the organization. It also leverages mathematical descriptions of complex phenomena and machine learning models to extract physics from the latter and models from the former, enabling clients to transform the wealth of information into actionable insights.

Samay

Grant in 2021
Respira Labs, Inc. is a company focused on developing innovative solutions for managing chronic obstructive pulmonary disease (COPD). Based in Mountain View, California, the company has created Sylvee, a wearable device that utilizes advanced technology to continuously monitor lung function and predict COPD exacerbation attacks in real-time. This device is equipped with non-invasive acoustic sensors and employs techniques such as audio signal processing and machine learning to detect "trapped air," an early indicator of potential COPD issues. By enabling early intervention and prevention of exacerbations, Respira Labs aims to enhance patient quality of life and health outcomes while also reducing healthcare costs. Founded in 2018, the company is positioned to transform the landscape of COPD management through its innovative approach.

DrivenData

Seed Round in 2021
DrivenData focuses on leveraging data science and crowdsourcing to address significant social challenges. The company organizes online challenges, typically lasting 2-3 months, where a global community of data scientists competes to develop effective statistical models for complex predictive problems. In addition to these competitions, DrivenData offers services that include comprehensive data assessment, predictive modeling, statistical analysis, and rapid development and prototyping. By connecting mission-driven organizations with skilled data scientists, DrivenData aims to empower these organizations to make impactful decisions based on their data.
Claudius Legal Intelligence develops a legal research assistance platform that utilizes artificial intelligence, specifically natural language processing and machine learning, to enhance the efficiency of case management. The platform automates the intake of new cases, allowing it to identify key legal issues and generate data-driven valuations of cases. This automation reduces costs by minimizing the need for traditional legal staff, such as assistants and paralegals, enabling attorneys to focus on more critical aspects of their practice. Additionally, Claudius provides precise guidance on optimal settlement timing as cases progress, enhancing decision-making for legal practitioners. The company is recognized for its innovative approach, having participated in prestigious incubators and accelerators, including the Princeton University Keller Center eLab and the Duke Law School Tech Lab.

Semiotic AI

Grant in 2021
Semiotic AI provides encrypted computing services in the cloud based on Fully Homomorphic Encryption (FHE). Using Semiotic's services, organizations can offer data analytics on sensitive data without compromising security and privacy. In addition to data security, Semiotic's technology can protect proprietary models by encrypting them before deployment. Privacy and security will play a pivotal role in business growth in the era of cloud computing, AI, and 5G. Semiotic's founders bring decades of experience in cryptography, AI, and acceleration to prepare you for this future. It was founded in 2020 and is headquartered in Los Altos, California.

DeepCast

Grant in 2021
Develop of digital transformation toolkit intended to automate forecasting and optimization workflows. The company's platform helps companies to thrive in digital transformation with integration of human intelligence, physics-based models and advanced data-driven algorithms in machine learning by effectively combining industrial domain knowledge with state-of-the-art AI technology, enabling customers to boost productivity and discover new business opportunities.

Benchmark Labs

Grant in 2021
Benchmark Labs, based in San Francisco, California, specializes in AI-driven weather forecasting tailored for the agricultural sector and other industries. The company delivers precise, asset-specific forecasts that help clients navigate the challenges posed by changing weather patterns. By utilizing Internet of Things (IoT) sensors from various manufacturers, Benchmark Labs provides critical data that enables organizations to optimize renewable energy generation and manage water allocation effectively. The accuracy of their forecasts is essential for maintaining infrastructure and operational efficiency in the face of increasing weather variability.

AG350

Grant in 2021
Developer of an assignment analytics platform designed to grade assignments and provide feedback automatically. The company's platform utilizes machine learning and provides computer architecture and hardware programming which detects common coding pitfalls and makes intelligent auto-suggestions to students, enabling teachers to focus only on teaching by making assignment management as frictionless as possible.

ClimateAI

Grant in 2020
ClimateAI develops an AI-powered enterprise software platform that enables to predict physical risks of climate change on real assets. It helps investors, insurers, and governments develop climate-resilient strategies. ClimateAI is composed of a team of scientists, engineers, and business leaders from Stanford, Princeton, Harvard, and Berkeley who all believe that climate change is the most important problem of our generation. Thew company was founded in 2017 and is based in San Francisco, California.

MAIA Analytica

Grant in 2020
AI software tools for Wastewater Treatment

Dascena

Grant in 2020
Dascena, Inc. is a technology company based in Oakland, California, specializing in the development of algorithm software for diagnostics and biomarkers. Founded in 2018, Dascena creates machine learning algorithms designed to enhance early disease intervention and improve patient care outcomes. Its primary product, AlgoDiagnostics, autonomously processes electronic health record data to identify conditions such as acute decompensation, sepsis, and acute kidney injury. By leveraging advanced algorithms, Dascena aims to facilitate timely medical responses and support healthcare professionals in delivering better patient care.

MuukTest

Grant in 2020
MuukTest is a software testing platform powered by AI that increases Software Devs testing productivity up to 26X. The company was founded in 2019 and based in Raleigh, North Carolina.

Mindprint Learning

Grant in 2020
Mindprint Learning, LLC is an educational technology company based in Princeton, New Jersey, founded in 2013. It operates an online platform designed to assess students' cognitive strengths and weaknesses through a self-administered screener. The platform generates learner profiles and personalized learning plans, offering tailored recommendations for educational tools, apps, and strategies. Mindprint Learning primarily serves schools, tutors, and parents, enabling them to identify students' academic struggles and optimize their learning experiences. By focusing on both cognitive and non-academic needs, the company aims to support students in developing the skills necessary for success in their academic, professional, and personal lives.

RocketML

Grant in 2020
RocketML is a Super Fast Computational engine for Machine Learning.

Onu Technology, Inc.

Grant in 2020
The latest advances in computation are awe-inspiring, from big data to machine learning to image recognition. But these techniques are difficult to understand and implement, and can require massive computational and engineering resources. Onu is advancing the frontiers of computer science in a way that makes the power of cutting-edge algorithms accessible to all. Onu was founded by leading computer scientists and accomplished entrepreneurs. They work closely with leading researchers in academia and industry. Their ambitions befit the caliber of Their supporters and contributors.

InformAI

Grant in 2020
InformAI, LLC provides business analytics and artificial intelligence solutions for healthcare industry. The company offers solutions and services which that speed up medical diagnosis and radiologist productivity. It provides paranasal sinus classifier, brain cancer classifier, surgical risk predictors, and patient outcome predictors. The company was founded in 2017 and is based in Houston, Texas.

Mapless AI

Grant in 2020
Mapless AI is a research company based in Pittsburgh, Pennsylvania, focused on developing safe alternatives for transportation systems. The company has created a remote vehicle operations platform tailored for autonomous driving applications. This platform features a proprietary fail-operational safety system and optimized low-latency connectivity, allowing for safe and scalable solutions. Additionally, it offers a fleet-friendly retrofit that can be easily installed on existing vehicles, enabling customers to deploy and operate autonomous vehicles efficiently and cost-effectively. Through its innovations, Mapless AI aims to accelerate the adoption of autonomous vehicles without the necessity of human drivers.

Initium.AI

Grant in 2020
Initium.AI develops a customized solution that transforms natural language into actionable insights. The company's headquarters are in Ann Arbor, Michigan.
Geometric Data Analytics focuses on solving complex data analysis problems. GDA merges expertise from academia with solutions that matter to industry and government.

GrayMatter Robotics

Grant in 2020
GrayMatter Robotics creates solutions to assist humans in tedious and ergonomically challenging tasks. It develops robotic brains for industrial robots designed to allow them to transform into smart assistants for high-mix low-volume manufacturing applications. It makes AI-brains for robots to make them smart, easy to use and rapidly deployable for complex operations, enabling users to improve their quality of life by leveraging robotics and artificial intelligence. The company was founded in 2020 and is based in Los Angeles, California.

RocketML

Seed Round in 2020
RocketML is a Super Fast Computational engine for Machine Learning.

Samay

Grant in 2020
Respira Labs, Inc. is a company focused on developing innovative solutions for managing chronic obstructive pulmonary disease (COPD). Based in Mountain View, California, the company has created Sylvee, a wearable device that utilizes advanced technology to continuously monitor lung function and predict COPD exacerbation attacks in real-time. This device is equipped with non-invasive acoustic sensors and employs techniques such as audio signal processing and machine learning to detect "trapped air," an early indicator of potential COPD issues. By enabling early intervention and prevention of exacerbations, Respira Labs aims to enhance patient quality of life and health outcomes while also reducing healthcare costs. Founded in 2018, the company is positioned to transform the landscape of COPD management through its innovative approach.

ApertureData

Grant in 2020
We manage visual data so companies can make machines learn better

Koliber Biosciences

Grant in 2020
Koliber Biosciences focuses on advancing biomedical discoveries through a synthetic biology research platform that leverages machine learning and artificial intelligence. The company offers data science services, including the development of predictive models and practical statistics coaching for clients. By specializing in statistically-guided experimental design, modeling, and data analytics, Koliber Biosciences enables pharmaceutical companies to expedite the drug development process, making it more efficient and effective.

Onu Technology, Inc.

Grant in 2020
The latest advances in computation are awe-inspiring, from big data to machine learning to image recognition. But these techniques are difficult to understand and implement, and can require massive computational and engineering resources. Onu is advancing the frontiers of computer science in a way that makes the power of cutting-edge algorithms accessible to all. Onu was founded by leading computer scientists and accomplished entrepreneurs. They work closely with leading researchers in academia and industry. Their ambitions befit the caliber of Their supporters and contributors.

SuperMEM

Grant in 2020
SuperMEM, founded in 2019 and based in San Diego, California, specializes in the development of lightweight chips that facilitate artificial intelligence integration in devices. The company's innovative technology allows for the incorporation of AI into Internet of Things devices without significantly increasing costs or power consumption. By providing a standard chip interface and simplifying software migration, SuperMEM enables its clients to access transformative technology, making it easier and more affordable to create smarter devices in various applications.

RightFit Analytics

Grant in 2020
RightFit Analytics develops a precision health-focused analytics platform that learns success patterns associated with medical operations. The company was founded in 2018 and is based in West Lafayette, Indiana.

Terrafuse

Grant in 2020
Developer of forecasting tool designed to predict climate risk. The company's tool uses machine learning emulators of weather and hydroclimate models for operational and financial risk assessment, enabling clients to make climate-informed decisions for their business.

ThermoAI

Grant in 2019
ThermoAI develops advanced machine learning algorithms and sensor technology aimed at optimizing industrial combustion processes in power plants. By leveraging IoT and artificial intelligence, the company enhances the efficiency of chemical reactions, addressing critical factors such as moisture content, atmospheric pressure, and air intake levels. Their systems continuously monitor these variables to achieve near-perfect combustion, which leads to significant fuel savings, increased energy output, extended lifespan of costly equipment, and reduced emissions. ThermoAI's solutions enable plant operators to model and enhance their operations, ultimately improving overall performance and sustainability.

Forward Edge AI

Grant in 2019
Forward Edge AI develops artificial intelligence for public safety and national security. The company was founded in 2019 and is headquartered in San Antonio, Texas.

DeepHealth

Grant in 2019
DeepHealth, Inc. operates as a radiology artificial intelligence and machine learning company that focuses on solutions for the medical interpretation of mammography exams. It offers data science and imaging analysis for radiologists. The company was founded in 2015 and is based in Cambridge, Massachusetts.

Initium.AI

Grant in 2019
Initium.AI develops a customized solution that transforms natural language into actionable insights. The company's headquarters are in Ann Arbor, Michigan.

Kintsugi

Grant in 2019
Kintsugi utilizes machine learning and voice biomarkers to detect clinical depression and anxiety, providing innovative talk therapy software to users in over 250 cities worldwide. By analyzing short clips of free-form speech, the company has developed a mental healthcare infrastructure that identifies signs of these conditions, thereby assisting medical practitioners in addressing gaps in mental health care. Kintsugi has amassed the world's largest longitudinal, annotated voice data set for this purpose, resulting in the creation of a clinical-grade voice biomarker diagnostic, which is currently pending patent and FDA approval. This technology aims to measure the severity of depression and anxiety in real-time, offering a more effective approach to mental health assessment and intervention.

Akai Kaeru

Grant in 2019
Akai Kaeru provides AI software that identifies and visually explains critical patterns in complex data, facilitating the construction of decision-making AI models that can be trusted. With their cutting-edge academic research, they created explainable AI software to assist data scientists with complex real-world problems.

Choosito

Grant in 2019
Choosito is a developer of a search engine tool that enhances learning by providing personalized search capabilities tailored to students' reading levels. Utilizing artificial intelligence, Choosito analyzes human language to identify and deliver quality educational resources that align with individual comprehension abilities across various subjects. This innovative approach transforms the web into an effective learning tool, allowing users to easily access resources while also facilitating class management and analytics. By focusing on the unique needs of each learner, Choosito aims to optimize educational experiences and improve learning outcomes.

NeuDax

Grant in 2019
NeuDax offers a wide range of artificial intelligence (AI) solutions to upstream oil and gas (O&G) industry. The NeuDax "Analytics and Software-as-a-Service" (A+SaaS) solution provides both AI-Platforms and engineering and technical consults to clients to help them improve their decision making in the unconventional oil and gas projects. The NeuDax solution is beyond limited machine learning (ML) applications. We provide solutions based on cutting-edge technologies, including deep learning (DL) and reinforcement learning (RL), to maximize the advantage of big data to oil and gas operators.

Lorykeet

Grant in 2019
Lorykeet is a software platform that identifies, manages, monitors, and mitigates AI and machine learning risks in the regulatory industry. The headquarters of the company is in Austin, Texas.

Onu Technology, Inc.

Grant in 2019
The latest advances in computation are awe-inspiring, from big data to machine learning to image recognition. But these techniques are difficult to understand and implement, and can require massive computational and engineering resources. Onu is advancing the frontiers of computer science in a way that makes the power of cutting-edge algorithms accessible to all. Onu was founded by leading computer scientists and accomplished entrepreneurs. They work closely with leading researchers in academia and industry. Their ambitions befit the caliber of Their supporters and contributors.

Samay

Grant in 2019
Respira Labs, Inc. is a company focused on developing innovative solutions for managing chronic obstructive pulmonary disease (COPD). Based in Mountain View, California, the company has created Sylvee, a wearable device that utilizes advanced technology to continuously monitor lung function and predict COPD exacerbation attacks in real-time. This device is equipped with non-invasive acoustic sensors and employs techniques such as audio signal processing and machine learning to detect "trapped air," an early indicator of potential COPD issues. By enabling early intervention and prevention of exacerbations, Respira Labs aims to enhance patient quality of life and health outcomes while also reducing healthcare costs. Founded in 2018, the company is positioned to transform the landscape of COPD management through its innovative approach.

Learnics

Grant in 2019
Learnics is a digital learning platform founded in 2017 and based in East Stroudsburg, Pennsylvania. The company provides tools that help educators gather critical insights into students' online learning behaviors. Its platform supports schools in their transition to digital learning by enhancing the understanding of students' online experiences, thereby improving teaching and learning outcomes. Learnics enables teachers to assist students during their research assignments, emphasizing the importance of the research process alongside the final product. The platform allows educators to create classes and assignments that facilitate the logging of students' online research activities, capturing targeted records of their learning endeavors.

Optio

Grant in 2019
Robotic Materials provides solutions to improve efficiency in manufacturing and e-commerce by leveraging robotic AI. The company develops general purpose mobile manipulators that combine the power of deep learning with semantic reasoning to perform mobile bin picking, kitting, and assembly.

Unanimous AI

Grant in 2019
Unanimous A.I., Inc. designs and develops swarm artificial intelligence-based software solutions. It offers Swarm AI, a solution that connects people online as real-time systems modeled after natural swarms enabling deeper insights and predictions; and Swarm Insight, a subscription service which builds and deploys intelligent swarms to provide predictive guidance for any application, including sales, marketing, product innovation, and finance. Unanimous A.I., Inc. was founded in 2014 and is based in San Francisco, California with additional offices in Arlington, Virginia; San Luis Obispo, California; Chicago, Illinois; and Washington, District of Columbia.

Optio

Grant in 2019
Robotic Materials provides solutions to improve efficiency in manufacturing and e-commerce by leveraging robotic AI. The company develops general purpose mobile manipulators that combine the power of deep learning with semantic reasoning to perform mobile bin picking, kitting, and assembly.

MAIA Analytica

Grant in 2019
AI software tools for Wastewater Treatment

Beagle Learning

Grant in 2019
Beagle Learning LLC operates an online platform designed to enhance critical thinking skills among students and teams. Founded in 2018 and based in Paradise Valley, Arizona, the company offers a software-as-a-service (SaaS) solution that helps instructors and teams effectively gather input and make informed decisions. The platform automatically summarizes and analyzes student questions, providing real-time reports that highlight both popular and unique inquiries. This system not only reduces the time spent on discussion boards but also fosters connections between students' learnings, promoting higher-order thinking and synthesis skills. Beagle Learning collaborates with higher education institutions, businesses, and government entities, including the US Department of Defense, to improve trainee retention, facilitate team buy-in, minimize conflicts, and expedite critical decision-making processes.

RocketML

Seed Round in 2019
RocketML is a Super Fast Computational engine for Machine Learning.

Betterment Labs

Grant in 2018
Betterment Labs develops a computer-based expert system to guide the creation of beginning literacy curricula in any phonics-based language. The company was founded in 2017 and is headquartered in Park City, Utah.

Terrafuse

Grant in 2018
Developer of forecasting tool designed to predict climate risk. The company's tool uses machine learning emulators of weather and hydroclimate models for operational and financial risk assessment, enabling clients to make climate-informed decisions for their business.

Cognii

Grant in 2018
Cognii, Inc. specializes in developing assessment technology designed to evaluate essay-type answers within online learning environments. The company utilizes advanced natural language processing to provide not only scores but also personalized feedback, fostering an interactive learning experience that enhances knowledge retention for students. Cognii's solutions are delivered via an API, making them compatible with various online learning platforms, including learning management systems and massive open online courses. By serving the K-12, higher education, and corporate training sectors, Cognii aims to improve learning outcomes, streamline grading processes for educators, and create scalable educational solutions. Founded in 2013 and headquartered in Boston, Massachusetts, Cognii continues to advance educational technology through its innovative offerings.

Samay

Grant in 2018
Respira Labs, Inc. is a company focused on developing innovative solutions for managing chronic obstructive pulmonary disease (COPD). Based in Mountain View, California, the company has created Sylvee, a wearable device that utilizes advanced technology to continuously monitor lung function and predict COPD exacerbation attacks in real-time. This device is equipped with non-invasive acoustic sensors and employs techniques such as audio signal processing and machine learning to detect "trapped air," an early indicator of potential COPD issues. By enabling early intervention and prevention of exacerbations, Respira Labs aims to enhance patient quality of life and health outcomes while also reducing healthcare costs. Founded in 2018, the company is positioned to transform the landscape of COPD management through its innovative approach.

Kraenion

Grant in 2018
Kraenion is an applied machine learning company developing a visual cortex for machines that interact with the physical world. Their vision algorithms, stereo camera technology, sensors and compute hardware together deliver integrated perception solutions for robotics and industrial machinery. The company was founded in 2017 by Dr. Binu Mathew and is located in Silicon Valley.

AI Strike

Grant in 2018
AI Strike provides big data and AI technology solutions and decision support systems that improve the bottom line of clients. The company's headquarters are in Shrewsbury, Massachusetts.

High Road Learning

Grant in 2018
High Road Learning promotes a dual-language approach to personalizing English-language learners' literacy growth. The company is based in Raleigh, North Carolina.

Plasticity

Grant in 2018
Plasticity makes better natural language understanding open and accessible through simple APIs.

Earshot (Application)

Grant in 2018
Developer of a AI and voice analysis application intended to provide feedback to teachers to help them improve. The company's application captures voice data from the classroom to provide real-time discussion analysis, enabling teachers to be able to quickly learn from their classrooms and improve their practice.

DeepScale

Grant in 2018
DeepScale is a technology company that develops perceptual systems for semi-autonomous and autonomous vehicles. It help automakers use industry-standard low-wattage processors to power more accurate perception. Alongside sensors, mapping, planning and control systems, perception, (sometimes referenced as “computer vision”) enables vehicles to make sense of what’s going on around them in real time.

Revolution Computing

Grant in 2017
Revolution Computing is developing a radical new approach to accelerating emerging sparse machine learning workloads. Through the Revolution Architecture, we are capable of delivering 4x the performance at half of the energy of alternative solutions. These capabilities come from fundamentally re-inventing the microprocessor to handle an era where irregular compute and abundant data access patterns are commonplace.

Optio

Grant in 2017
Robotic Materials provides solutions to improve efficiency in manufacturing and e-commerce by leveraging robotic AI. The company develops general purpose mobile manipulators that combine the power of deep learning with semantic reasoning to perform mobile bin picking, kitting, and assembly.

Perceptive Automata

Grant in 2017
Perceptive Automata, Inc. specializes in machine learning and computer vision technologies aimed at predicting human behavior to enhance the safety and efficacy of automated vehicles. Founded in 2014 and headquartered in Somerville, Massachusetts, the company addresses a critical challenge in automated driving: enabling vehicles to anticipate the actions of pedestrians, cyclists, and other drivers. This capability is vital for the smooth and safe operation of highly automated (L2/3) and fully autonomous (L4/5) vehicles, particularly in urban environments. By leveraging advanced AI that surpasses conventional physics-based models, Perceptive Automata facilitates a more natural driving experience and promotes the acceptance of autonomous vehicles in human-dominated road scenarios. The company collaborates with original equipment manufacturers, suppliers, and technology firms involved in the development of advanced driver-assistance systems and autonomous driving solutions, drawing on a team of experts from esteemed institutions such as Harvard, MIT, and Stanford.

Perceptive Automata

Grant in 2017
Perceptive Automata, Inc. specializes in machine learning and computer vision technologies aimed at predicting human behavior to enhance the safety and efficacy of automated vehicles. Founded in 2014 and headquartered in Somerville, Massachusetts, the company addresses a critical challenge in automated driving: enabling vehicles to anticipate the actions of pedestrians, cyclists, and other drivers. This capability is vital for the smooth and safe operation of highly automated (L2/3) and fully autonomous (L4/5) vehicles, particularly in urban environments. By leveraging advanced AI that surpasses conventional physics-based models, Perceptive Automata facilitates a more natural driving experience and promotes the acceptance of autonomous vehicles in human-dominated road scenarios. The company collaborates with original equipment manufacturers, suppliers, and technology firms involved in the development of advanced driver-assistance systems and autonomous driving solutions, drawing on a team of experts from esteemed institutions such as Harvard, MIT, and Stanford.

Clinc

Grant in 2017
Clinc, Inc. is a company that specializes in developing artificial intelligence software applications, primarily focused on creating advanced conversational AI platforms. The technology enables enterprises to build sophisticated virtual assistants capable of understanding and responding to user input with a high degree of accuracy. Unlike traditional speech-to-text systems, Clinc's platform analyzes various factors such as wording, sentiment, intent, tone of voice, and contextual information to provide nuanced responses. This approach is powered by cutting-edge machine learning and deep neural networks, which allow the system to continually enhance its knowledge base with each interaction. Originally founded in 2015 as Clarity Lab Inc., Clinc serves multiple industries, including banking, automotive, gaming, and healthcare, and is headquartered in Ann Arbor, Michigan.

Akai Kaeru

Grant in 2017
Akai Kaeru provides AI software that identifies and visually explains critical patterns in complex data, facilitating the construction of decision-making AI models that can be trusted. With their cutting-edge academic research, they created explainable AI software to assist data scientists with complex real-world problems.

DeepScale

Grant in 2016
DeepScale is a technology company that develops perceptual systems for semi-autonomous and autonomous vehicles. It help automakers use industry-standard low-wattage processors to power more accurate perception. Alongside sensors, mapping, planning and control systems, perception, (sometimes referenced as “computer vision”) enables vehicles to make sense of what’s going on around them in real time.

BioSignal Analytics

Grant in 2016
BioSignal Analytics is a healthcare technology company based in Philadelphia, Pennsylvania, focused on enhancing healthcare quality through automated interpretation technology. Utilizing machine learning algorithms, the company has developed a decision-support tool that integrates seamlessly into the clinical workflow of neurologists. This tool leverages extensive big data resources to train advanced models that can self-organize information and uncover underlying patterns. As a result, it provides healthcare professionals with real-time alerts for seizure detection, aiming to improve patient outcomes and streamline the diagnostic process.

Earshot (Application)

Grant in 2016
Developer of a AI and voice analysis application intended to provide feedback to teachers to help them improve. The company's application captures voice data from the classroom to provide real-time discussion analysis, enabling teachers to be able to quickly learn from their classrooms and improve their practice.

Perceptive Automata

Grant in 2016
Perceptive Automata, Inc. specializes in machine learning and computer vision technologies aimed at predicting human behavior to enhance the safety and efficacy of automated vehicles. Founded in 2014 and headquartered in Somerville, Massachusetts, the company addresses a critical challenge in automated driving: enabling vehicles to anticipate the actions of pedestrians, cyclists, and other drivers. This capability is vital for the smooth and safe operation of highly automated (L2/3) and fully autonomous (L4/5) vehicles, particularly in urban environments. By leveraging advanced AI that surpasses conventional physics-based models, Perceptive Automata facilitates a more natural driving experience and promotes the acceptance of autonomous vehicles in human-dominated road scenarios. The company collaborates with original equipment manufacturers, suppliers, and technology firms involved in the development of advanced driver-assistance systems and autonomous driving solutions, drawing on a team of experts from esteemed institutions such as Harvard, MIT, and Stanford.

Qualicent Analytics

Grant in 2016
Qualicent Analytics is applying machine learning and artificial intelligence methods for breakthrough reductions.

Cognii

Grant in 2016
Cognii, Inc. specializes in developing assessment technology designed to evaluate essay-type answers within online learning environments. The company utilizes advanced natural language processing to provide not only scores but also personalized feedback, fostering an interactive learning experience that enhances knowledge retention for students. Cognii's solutions are delivered via an API, making them compatible with various online learning platforms, including learning management systems and massive open online courses. By serving the K-12, higher education, and corporate training sectors, Cognii aims to improve learning outcomes, streamline grading processes for educators, and create scalable educational solutions. Founded in 2013 and headquartered in Boston, Massachusetts, Cognii continues to advance educational technology through its innovative offerings.

Analytic Measures

Grant in 2016
Analytic Measures Inc. specializes in developing advanced speech and text evaluation technologies tailored for the education sector. Founded in 2014 and based in Palo Alto, California, the company offers innovative solutions such as Moby.Read, an automated assessment tool for oral reading fluency, and amiSCORE, which utilizes automated speech recognition technology to evaluate various aspects of reading skills, including accuracy, reading rate, and comprehension. By leveraging artificial intelligence, Analytic Measures aims to enhance instruction, assessment, and learning outcomes within educational environments.

Clinc

Grant in 2016
Clinc, Inc. is a company that specializes in developing artificial intelligence software applications, primarily focused on creating advanced conversational AI platforms. The technology enables enterprises to build sophisticated virtual assistants capable of understanding and responding to user input with a high degree of accuracy. Unlike traditional speech-to-text systems, Clinc's platform analyzes various factors such as wording, sentiment, intent, tone of voice, and contextual information to provide nuanced responses. This approach is powered by cutting-edge machine learning and deep neural networks, which allow the system to continually enhance its knowledge base with each interaction. Originally founded in 2015 as Clarity Lab Inc., Clinc serves multiple industries, including banking, automotive, gaming, and healthcare, and is headquartered in Ann Arbor, Michigan.

InsightFinder

Grant in 2016
InsightFinder Inc. specializes in machine learning technology solutions focused on IT operational data. Founded in 2015 and based in Brooklyn, New York, the company offers a suite of tools designed to enhance operational efficiency. Its metric intelligence engine detects anomalies automatically using advanced algorithms, while the log intelligence engine provides real-time keyword extraction and indexing for textual log files. InsightFinder also features an alert intelligence engine that reduces alert fatigue by filtering out duplicate alerts and an APM intelligence engine that identifies issues in both proprietary and third-party applications. The company's innovative, patent-pending solutions can be accessed through online subscriptions or deployed on-premise, helping organizations find root causes of deviations and predict future events with minimal staff involvement.

Dascena

Grant in 2015
Dascena, Inc. is a technology company based in Oakland, California, specializing in the development of algorithm software for diagnostics and biomarkers. Founded in 2018, Dascena creates machine learning algorithms designed to enhance early disease intervention and improve patient care outcomes. Its primary product, AlgoDiagnostics, autonomously processes electronic health record data to identify conditions such as acute decompensation, sepsis, and acute kidney injury. By leveraging advanced algorithms, Dascena aims to facilitate timely medical responses and support healthcare professionals in delivering better patient care.

TechComb

Grant in 2015
TechComb provides machine-learning applications for high-throughput, high-yield object recognition and inspection in real-time. The company, based in Fort Worth, Texas, was founded by Jonathan Kretz and Aditya Das.

Textician

Grant in 2015
Textician is commercializing a patented breakthrough in machine learning on unstructured text. Called NoNLP(tm) technology, it outperforms both Natural Language Processing (NLP) and Deep Learning in some common use cases. Initial applications are in healthcare IT, specifically ICD-10 coding as a part of RCM applications, delivered either on-premises or via the cloud. In the latter case, no raw PHI is sent to or processed in the cloud, creating a uniquely secure service.

TutorGen, Inc

Grant in 2015
We are driven to find a better path to learning, one that will create lasting change. At TutorGen, that path begins in research and comes to life in the classroom and workplace. We bring together evidence-based approaches with technology and an unwavering focus on the learners, educators, developers, and content creators who use our products.

Textician

Grant in 2015
Textician is commercializing a patented breakthrough in machine learning on unstructured text. Called NoNLP(tm) technology, it outperforms both Natural Language Processing (NLP) and Deep Learning in some common use cases. Initial applications are in healthcare IT, specifically ICD-10 coding as a part of RCM applications, delivered either on-premises or via the cloud. In the latter case, no raw PHI is sent to or processed in the cloud, creating a uniquely secure service.

VocaliD

Grant in 2015
VocaliD's award-winning technology generates high-quality, natural sounding voices within hours rather than months using cutting-edge machine learning techniques, proprietary voice blending algorithms, and a crowdsourced Voicebank.

Koliber Biosciences

Grant in 2014
Koliber Biosciences focuses on advancing biomedical discoveries through a synthetic biology research platform that leverages machine learning and artificial intelligence. The company offers data science services, including the development of predictive models and practical statistics coaching for clients. By specializing in statistically-guided experimental design, modeling, and data analytics, Koliber Biosciences enables pharmaceutical companies to expedite the drug development process, making it more efficient and effective.

dMetrics

Grant in 2014
dMetrics is a company that specializes in making deep natural language processing (NLP) technology accessible to non-technical users within enterprises. Its artificial intelligence-based reading platform is designed to uncover consumer behavior by identifying, classifying, analyzing, and predicting the decisions of consumers hidden within large datasets. This capability allows businesses to gain insights into customer expectations and respond effectively to their needs. By translating complex data into understandable insights, dMetrics empowers companies to enhance their decision-making processes and improve customer engagement.

Eduworks

Grant in 2014
Developer of learning and education management software designed to remove roadblocks to knowledge and unlock human potential. The company's software uses artificial intelligence for text analysis, data science and skills management, enabling clients to act as performance multipliers that increase speed and accuracy, decrease cost and improve learning processes.

TutorGen, Inc

Grant in 2013
We are driven to find a better path to learning, one that will create lasting change. At TutorGen, that path begins in research and comes to life in the classroom and workplace. We bring together evidence-based approaches with technology and an unwavering focus on the learners, educators, developers, and content creators who use our products.

Textician

Grant in 2013
Textician is commercializing a patented breakthrough in machine learning on unstructured text. Called NoNLP(tm) technology, it outperforms both Natural Language Processing (NLP) and Deep Learning in some common use cases. Initial applications are in healthcare IT, specifically ICD-10 coding as a part of RCM applications, delivered either on-premises or via the cloud. In the latter case, no raw PHI is sent to or processed in the cloud, creating a uniquely secure service.

Lymba

Grant in 2013
Lymba is a software company providing solutions for Natural Language Processing, text mining and knowledge discovery from text.

InferLink

Grant in 2013
InferLink helps in developing custom solutions based on your data and business needs. They offer solutions for both government and corporate customers.

Neon Open

Grant in 2013
Neon Labs specializes in enhancing digital marketing effectiveness through innovative technology. The company utilizes a unique neuroscience-based machine learning system that predicts user engagement with images, helping marketers achieve higher click-through rates and improved audience interaction. Neon's enterprise-scale platform, Neon for Video, optimizes visual content in real-time, resulting in an average increase of 24% in video views. Additionally, Neon Open serves as an open-source platform that employs artificial intelligence to analyze advertising inventory, predicting which images and videos will generate greater engagement. This platform leverages deep learning models to assess the emotional impact of visual content, making it valuable for a diverse range of users, including journalists, artists, and non-profit organizations. Neon's collaborations with established deep learning frameworks like TensorFlow and Caffe further enhance its technological capabilities.

Choosito

Grant in 2013
Choosito is a developer of a search engine tool that enhances learning by providing personalized search capabilities tailored to students' reading levels. Utilizing artificial intelligence, Choosito analyzes human language to identify and deliver quality educational resources that align with individual comprehension abilities across various subjects. This innovative approach transforms the web into an effective learning tool, allowing users to easily access resources while also facilitating class management and analytics. By focusing on the unique needs of each learner, Choosito aims to optimize educational experiences and improve learning outcomes.
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