Felicis is a venture capital firm founded in 2006 and based in Menlo Park, California. The firm focuses on early-stage investments, backing founders who are creating innovative companies that can redefine industries and develop frontier technologies. Felicis seeks to support a diverse range of sectors, including artificial intelligence, healthcare, and security, while primarily targeting consumer internet startups. The firm employs a hands-on approach, combining angel investing with active mentoring and advisory services to provide entrepreneurs with more than just capital. Felicis typically invests between $100,000 and $1 million in its portfolio companies, which span various nationalities and countries, with a significant concentration in the Bay Area. Since its inception, Felicis has invested in over 120 technology companies, achieving notable success with 50 of these companies either being acquired or going public. Aydin Senkut, the founder and president, brings prior experience from a senior management role at Google to guide the firm’s investment strategy.
Founded in 2020, Distributed Spectrum is a defense technology company that specializes in signal processing, machine learning, and embedded systems. The company develops software and sensors designed to enhance understanding of critical radio signals for various missions. Its spectrum monitoring systems provide essential situational awareness and actionable alerts, offering capabilities such as passive signature detection and signal analysis. These products enable users to comprehend the radio spectrum in their vicinity and effectively identify and track signals across diverse environments.
DatologyAI
Series A in 2024
DatologyAI is an AI-data curation startup focused on developing deep learning tools that facilitate automatic selection in data training. The company offers solutions that automate the creation of datasets by identifying the most relevant information based on the specific needs of the AI model. Its technology employs modality-agnostic algorithms capable of detecting redundant, noisy, or harmful data points, without the need for labels, making it applicable across various industries. Additionally, DatologyAI's tools suggest methods for augmenting existing datasets and optimizing the organization of data, ultimately streamlining the model training process and reducing costs for clients.
Distributed Spectrum
Seed Round in 2024
Founded in 2020, Distributed Spectrum is a defense technology company that specializes in signal processing, machine learning, and embedded systems. The company develops software and sensors designed to enhance understanding of critical radio signals for various missions. Its spectrum monitoring systems provide essential situational awareness and actionable alerts, offering capabilities such as passive signature detection and signal analysis. These products enable users to comprehend the radio spectrum in their vicinity and effectively identify and track signals across diverse environments.
Flower Labs
Series A in 2024
Flower Labs is an open-source framework specializing in federated learning, which allows organizations to train artificial intelligence models on distributed data while maintaining data privacy. The platform supports various machine learning frameworks and programming languages, making it adaptable to diverse operating systems and hardware environments. By facilitating the training of AI on sensitive data spread across different organizational silos or user devices, Flower Labs empowers companies like Banking Circle, Nokia, Porsche, and Brave to enhance their AI capabilities. The approach aims to utilize a broader spectrum of data than traditional centralized methods, potentially unlocking significant advancements in artificial intelligence applications.
Deep Infra
Seed Round in 2023
Deep Infra is a company that offers a self-serve machine learning platform focused on delivering cost-effective and scalable machine-learning models for deep-learning applications. Its platform enables users to transform models into scalable APIs with minimal effort, facilitating deployment for various applications such as token classification, text-to-image generation, object detection, automatic speech recognition, and text generation. Deep Infra operates on a pay-per-use pricing model, allowing users to run AI models through a straightforward API. The company specializes in serverless machine-learning inference, ensuring high-performance deployment while providing benefits such as low latency, cost efficiency, and automatic scaling, making advanced machine-learning capabilities more accessible to businesses.
MotherDuck
Series B in 2023
MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.
Hitloop
Seed Round in 2023
Hitloop is a technology company founded in 2023 and headquartered in Chevy Chase, Maryland. The company specializes in artificial intelligence and machine learning solutions, offering a range of services that include speech, language, vision, and multi-modal deep learning technologies. Hitloop provides clients with capabilities such as data annotation, comparison, segmentation, and categorization, aimed at facilitating advanced technological applications across various use cases.
Poolside
Seed Round in 2023
Poolside is an artificial intelligence platform that offers foundation concepts and infrastructure. It aims to unlock humanity's potential by pursuing AGI for software creation, with the fundamental belief that the transitional path for humanity to AGI is by building specific capabilities instead of a general-purpose approach. It also helps users utilize the power of software creation and understand future systems.
Weights & Biases
Venture Round in 2023
Weights & Biases provides performance visualization tools specifically designed for machine learning practitioners. The company focuses on helping teams track their models and visualize performance metrics, thereby facilitating the transition of deep learning research projects into deployed software. Its offerings include a dataset optimization tool that allows users to automate the training process and enhance model performance. By streamlining these aspects, Weights & Biases aims to support companies in developing high-quality software solutions that leverage deep learning technologies.
Predibase
Series A in 2023
Predibase is a developer platform that simplifies the process of fine-tuning and serving small open-source language models in the cloud. It enables engineering teams to efficiently create high-performance machine learning algorithms with a low-code approach, allowing users to define AI systems with minimal coding. Founded by a team with experience from Apple and Uber, Predibase offers a scalable and cost-effective solution built on open-source foundations, including LoRAX. The platform features a user-friendly interface for training models and leverages high-end GPU capacity for production serving, ensuring that performance is not compromised. Predibase is designed for deployment in private clouds, allowing organizations to maintain control over their data and models. The platform is currently utilized by both Fortune 500 companies and high-growth firms, facilitating rapid delivery of AI-driven solutions.
Vannevar Labs
Series B in 2023
Vannevar Labs, Inc. is a technology company based in Palo Alto, California, founded in 2019. It specializes in developing machine learning products aimed at addressing critical national security challenges. The company focuses on advanced applications of computer vision and natural language processing to enhance the capabilities of government units. Vannevar Labs is comprised of a team of technologists and former defense and intelligence officers, who are committed to providing military service members and intelligence personnel with access to cutting-edge technology. By leveraging recent advancements in deep learning, Vannevar Labs seeks to deliver innovative solutions that strengthen national security.
Nayya
Series C in 2022
Nayya is a developer of a benefits experience platform that aims to simplify the process of selecting and utilizing employee benefits. By leveraging machine learning and extensive data analysis, the platform provides personalized decision support during critical moments such as open enrollment, new employee onboarding, and qualifying life events. Nayya's goal is to alleviate the stress associated with choosing benefits, allowing employees to gain greater control and understanding of their health and financial options. The platform targets both consumers and employers, promoting a more transparent and effective benefits experience that enhances overall employee satisfaction and confidence.
Ontic
Series B in 2021
Ontic is a developer of a protective intelligence platform designed for corporate and government security professionals to enhance threat management and risk mitigation. The platform integrates and unifies critical data, business processes, and collaboration tools, consolidating security intelligence and operations into a single system. By leveraging big data and digital technology, Ontic aggregates various data sources to provide actionable insights for early threat detection, surfacing pre-incident indicators related to acts of violence, mental health concerns, and suspicious behavior. This enables security teams to effectively investigate and address potential threats, ultimately protecting executives, workplaces, and educational institutions.
Weights & Biases
Series C in 2021
Weights & Biases provides performance visualization tools specifically designed for machine learning practitioners. The company focuses on helping teams track their models and visualize performance metrics, thereby facilitating the transition of deep learning research projects into deployed software. Its offerings include a dataset optimization tool that allows users to automate the training process and enhance model performance. By streamlining these aspects, Weights & Biases aims to support companies in developing high-quality software solutions that leverage deep learning technologies.
Nayya
Series B in 2021
Nayya is a developer of a benefits experience platform that aims to simplify the process of selecting and utilizing employee benefits. By leveraging machine learning and extensive data analysis, the platform provides personalized decision support during critical moments such as open enrollment, new employee onboarding, and qualifying life events. Nayya's goal is to alleviate the stress associated with choosing benefits, allowing employees to gain greater control and understanding of their health and financial options. The platform targets both consumers and employers, promoting a more transparent and effective benefits experience that enhances overall employee satisfaction and confidence.
Mosaic.tech
Series A in 2021
Mosaic.tech is a strategic finance platform that leverages big data and machine learning to offer predictive reporting capabilities. Founded in 2019 and headquartered in San Diego, California, the company provides startups with tools and insights typically available to large enterprises. Its software platform features one-click integrations, real-time analytics, dashboards, and data visualization tools that enable users to connect with data swiftly, automate financial forecasts, and report seamlessly. By delivering clear insights and straightforward recommendations, Mosaic enhances visibility into critical business dynamics, empowering clients to make informed decisions and effectively execute their plans.
Nayya
Series A in 2021
Nayya is a developer of a benefits experience platform that aims to simplify the process of selecting and utilizing employee benefits. By leveraging machine learning and extensive data analysis, the platform provides personalized decision support during critical moments such as open enrollment, new employee onboarding, and qualifying life events. Nayya's goal is to alleviate the stress associated with choosing benefits, allowing employees to gain greater control and understanding of their health and financial options. The platform targets both consumers and employers, promoting a more transparent and effective benefits experience that enhances overall employee satisfaction and confidence.
Ultimate
Series A in 2020
Ultimate develops a virtual agent platform that automates customer support across various channels. The company's technology leverages deep learning artificial intelligence to enhance interactions by learning from historical chat data and providing real-time responses to suggestions. This innovative approach enables clients to scale their customer service operations effectively, improving overall customer experiences through automation.
Recursion Pharmaceuticals
Series D in 2020
Recursion Pharmaceuticals is a clinical-stage biotechnology company based in Salt Lake City, Utah, focused on transforming drug discovery through the integration of technology, particularly artificial intelligence, automation, and bioinformatics. Founded in 2013, the company utilizes a sophisticated drug discovery platform that includes various software solutions and robotic automation to enhance chemical compound selection, streamline experimental workflows, and evaluate drug efficacy. Key components of this platform involve tools for designing chemical compounds, planning complex experiments, and analyzing data to understand drug interactions and biological responses. By creating one of the largest proprietary biological and chemical datasets, Recursion aims to uncover new biological insights and expedite the development of innovative treatments, ultimately improving patient outcomes.
Hyperscience
Series C in 2020
Hyperscience is a technology company that specializes in AI-based enterprise software aimed at automating office work processes. The software utilizes machine learning to handle structured and semi-structured documents, facilitating tasks such as data entry, extraction of key details from invoices, and reconciliation of compliance-driven data. By automating these complex processes, Hyperscience helps organizations and governments enhance productivity and modernize essential operations.
Ontic
Series A in 2020
Ontic is a developer of a protective intelligence platform designed for corporate and government security professionals to enhance threat management and risk mitigation. The platform integrates and unifies critical data, business processes, and collaboration tools, consolidating security intelligence and operations into a single system. By leveraging big data and digital technology, Ontic aggregates various data sources to provide actionable insights for early threat detection, surfacing pre-incident indicators related to acts of violence, mental health concerns, and suspicious behavior. This enables security teams to effectively investigate and address potential threats, ultimately protecting executives, workplaces, and educational institutions.
Crunchbase
Series C in 2019
Crunchbase is a comprehensive platform that assists over 80 million investors, analysts, and dealmakers in identifying and acting on private market opportunities through detailed analysis of company activities. It enables users to discover significant companies via its homepage, Crunchbase Scout, and search functionalities. The platform offers proprietary predictions and insights on organizational profiles, facilitating informed decision-making. Additionally, Crunchbase enhances team efficiency with various features such as data exports, administrative tools, and integrations. By providing unique private company intelligence, Crunchbase bridges the gap between data access and actionable business decisions, ultimately supporting users in navigating the complexities of the investment landscape.
LabGenius
Series A in 2019
LabGenius Ltd is a biopharmaceutical company based in London that focuses on discovering new biological molecules through the integration of artificial intelligence, automation, and synthetic DNA. Founded in 2012, the company has developed a robotic platform known as EVA, which acts as a robot scientist capable of designing, conducting, and learning from its own experiments. LabGenius specializes in developing next-generation protein therapeutics aimed at addressing unmet medical needs, including conditions like Inflammatory Bowel Disease. Their innovative approach utilizes advanced machine learning and synthetic biology to engineer the properties of protein drugs, enhancing attributes such as protease stability and tissue penetration. This technology enables the efficient creation of protein therapeutics, providing physicians with access to cutting-edge treatments developed through robotic automation.
Recursion Pharmaceuticals
Series C in 2019
Recursion Pharmaceuticals is a clinical-stage biotechnology company based in Salt Lake City, Utah, focused on transforming drug discovery through the integration of technology, particularly artificial intelligence, automation, and bioinformatics. Founded in 2013, the company utilizes a sophisticated drug discovery platform that includes various software solutions and robotic automation to enhance chemical compound selection, streamline experimental workflows, and evaluate drug efficacy. Key components of this platform involve tools for designing chemical compounds, planning complex experiments, and analyzing data to understand drug interactions and biological responses. By creating one of the largest proprietary biological and chemical datasets, Recursion aims to uncover new biological insights and expedite the development of innovative treatments, ultimately improving patient outcomes.
Hyperscience
Series B in 2019
Hyperscience is a technology company that specializes in AI-based enterprise software aimed at automating office work processes. The software utilizes machine learning to handle structured and semi-structured documents, facilitating tasks such as data entry, extraction of key details from invoices, and reconciliation of compliance-driven data. By automating these complex processes, Hyperscience helps organizations and governments enhance productivity and modernize essential operations.
Spring Discovery
Series A in 2018
Spring Discovery, Inc. is a biotechnology company based in Palo Alto, California, focused on advancing the discovery of therapies aimed at aging and related diseases. By utilizing a machine learning-based platform, the company targets the biological processes of aging to identify potential treatments for various age-related conditions, including cardiovascular and neurodegenerative diseases. The innovative approach of leveraging machine learning enhances the efficiency of experimentation, facilitating the rapid development of new therapies designed to increase healthy lifespans.
Gamalon
Series A in 2018
Gamalon, Inc. specializes in statistical machine learning solutions, focusing on Bayesian probabilistic programming languages. Founded in 2013 and based in Boston, Massachusetts, the company has developed an AI-driven machine intelligence technology that automates the writing and rewriting of its own Bayesian programs. This innovation allows businesses to convert unstructured text into structured data efficiently, enabling e-commerce and manufacturing sectors to train their systems with minimal data while achieving accuracy comparable to extensively trained neural networks. Additionally, Gamalon offers a conversational machine intelligence platform that interprets and summarizes customer messages, facilitating data-driven decision-making and enhancing customer experience.
Spring Discovery
Seed Round in 2018
Spring Discovery, Inc. is a biotechnology company based in Palo Alto, California, focused on advancing the discovery of therapies aimed at aging and related diseases. By utilizing a machine learning-based platform, the company targets the biological processes of aging to identify potential treatments for various age-related conditions, including cardiovascular and neurodegenerative diseases. The innovative approach of leveraging machine learning enhances the efficiency of experimentation, facilitating the rapid development of new therapies designed to increase healthy lifespans.
TrueAccord
Series B in 2017
TrueAccord is reinventing the relationship between creditors and lenders with a machine learning-driven, digital approach to debt collection. Our technology personalizes outreach to each customer across digital channels, continuously optimizing for performance while delivering a customer experience that builds long-term brand loyalty.
Recursion Pharmaceuticals
Series B in 2017
Recursion Pharmaceuticals is a clinical-stage biotechnology company based in Salt Lake City, Utah, focused on transforming drug discovery through the integration of technology, particularly artificial intelligence, automation, and bioinformatics. Founded in 2013, the company utilizes a sophisticated drug discovery platform that includes various software solutions and robotic automation to enhance chemical compound selection, streamline experimental workflows, and evaluate drug efficacy. Key components of this platform involve tools for designing chemical compounds, planning complex experiments, and analyzing data to understand drug interactions and biological responses. By creating one of the largest proprietary biological and chemical datasets, Recursion aims to uncover new biological insights and expedite the development of innovative treatments, ultimately improving patient outcomes.
Bluecore
Series C in 2017
Bluecore is a multi-channel marketing platform that leverages predictive intelligence to enhance retail marketing efforts. The platform unifies and analyzes consumer behavior and product data, allowing businesses to understand each shopper's past interactions and anticipated future behavior with brand products. By managing nearly 500 million shopper IDs and a vast product catalog, Bluecore enables marketers to personalize customer interactions across various channels, including email, websites, display ads, and social media. This data-driven approach empowers businesses to effectively acquire, retain, and grow their customer base.
TalkIQ
Series A in 2017
Since 2014, TalkIQ has offered voice‐to‐text transcription and analytics for clients across a wide variety of industries. Using cutting edge deep‐learning algorithms, proprietary speech recognition and predictive analytics technology, we give our clients visibility into all of their phone conversations, extracting insights for uses ranging from sales optimization, to customer service, compliance, and more. Our recommendations enable teams to save time and maximize productivity, though quick access to action-oriented data & analysis. TalkIQ is backed by prominent Silicon Valley VC firms and is helmed by an advisory board with decades of experience in the speech and language recognition fields.
Paravision
Series B in 2017
Paravision specializes in face recognition technology, providing solutions for security device manufacturers, systems integrators, and financial services firms. Founded in 2013 and based in San Francisco, the company, formerly known as Ever AI, rebranded to Paravision in 2019. Its Vision AI software leverages advanced deep learning to enhance security and streamline user experiences across various applications. Paravision's offerings include tools for age, gender, emotion, and ethnicity detection, which help enterprises improve security, enhance customer retention, and facilitate customer authentication. The company has a strong record of performance, consistently ranking among the top global performers in NIST evaluations for face recognition technology, excelling in areas such as verification and identification. Paravision aims to advance accuracy, security, and inclusivity in face recognition while providing scalable, modular solutions suitable for both edge and cloud environments.
Crunchbase
Series B in 2017
Crunchbase is a comprehensive platform that assists over 80 million investors, analysts, and dealmakers in identifying and acting on private market opportunities through detailed analysis of company activities. It enables users to discover significant companies via its homepage, Crunchbase Scout, and search functionalities. The platform offers proprietary predictions and insights on organizational profiles, facilitating informed decision-making. Additionally, Crunchbase enhances team efficiency with various features such as data exports, administrative tools, and integrations. By providing unique private company intelligence, Crunchbase bridges the gap between data access and actionable business decisions, ultimately supporting users in navigating the complexities of the investment landscape.
Gamalon
Seed Round in 2017
Gamalon, Inc. specializes in statistical machine learning solutions, focusing on Bayesian probabilistic programming languages. Founded in 2013 and based in Boston, Massachusetts, the company has developed an AI-driven machine intelligence technology that automates the writing and rewriting of its own Bayesian programs. This innovation allows businesses to convert unstructured text into structured data efficiently, enabling e-commerce and manufacturing sectors to train their systems with minimal data while achieving accuracy comparable to extensively trained neural networks. Additionally, Gamalon offers a conversational machine intelligence platform that interprets and summarizes customer messages, facilitating data-driven decision-making and enhancing customer experience.
TalkIQ
Seed Round in 2016
Since 2014, TalkIQ has offered voice‐to‐text transcription and analytics for clients across a wide variety of industries. Using cutting edge deep‐learning algorithms, proprietary speech recognition and predictive analytics technology, we give our clients visibility into all of their phone conversations, extracting insights for uses ranging from sales optimization, to customer service, compliance, and more. Our recommendations enable teams to save time and maximize productivity, though quick access to action-oriented data & analysis. TalkIQ is backed by prominent Silicon Valley VC firms and is helmed by an advisory board with decades of experience in the speech and language recognition fields.
Recursion Pharmaceuticals
Series A in 2016
Recursion Pharmaceuticals is a clinical-stage biotechnology company based in Salt Lake City, Utah, focused on transforming drug discovery through the integration of technology, particularly artificial intelligence, automation, and bioinformatics. Founded in 2013, the company utilizes a sophisticated drug discovery platform that includes various software solutions and robotic automation to enhance chemical compound selection, streamline experimental workflows, and evaluate drug efficacy. Key components of this platform involve tools for designing chemical compounds, planning complex experiments, and analyzing data to understand drug interactions and biological responses. By creating one of the largest proprietary biological and chemical datasets, Recursion aims to uncover new biological insights and expedite the development of innovative treatments, ultimately improving patient outcomes.
Troops
Series A in 2016
Troops.ai is a revenue communications platform that enhances sales velocity, visibility, and collaboration for sales teams. It operates as a Slackbot, providing real-time transparency into Salesforce information. Users can configure Salesforce reports, communicate deal wins, and access both standard and custom Salesforce data through Slack. The platform leverages artificial intelligence to generate customizable notifications and facilitate data updates across various applications. By delivering actionable pipeline alerts, Troops.ai aims to increase sales activity and improve overall performance. The company has attracted investments from notable firms, including First Round Capital, Founder Collective, and others, reflecting its significant potential in the sales technology market.
Pattern
Seed Round in 2016
Pattern is a intelligent workspace geared towards sales teams. It prepares research for the user, streamlining the process with built in templates. Pattern can also confirm meetings, automate follow-ups, update stale records and research accounts. Lastly, Pattern uses machine learning to surface risk and momentum signals in your pipeline using data from email, calendar, and Salesforce.
Emailage
Series A in 2016
Emailage is a developer of fraud prevention and identity verification technology that focuses on enhancing the security and ease of transactions. The company utilizes machine learning and proprietary algorithms to analyze email data, providing real-time alerts for potentially risky transactions and generating risk scores. This innovative approach allows businesses to identify and prevent fraudulent activities effectively, leading to significant cost savings and an improved customer experience. By leveraging key partnerships and a wealth of proprietary data, Emailage offers comprehensive predictive solutions designed to protect both companies and their customers from fraud.
Zodiac
Seed Round in 2016
Zodiac Inc. specializes in predictive analytics solutions that forecast individualized customer lifetime value by leveraging real-time sales data. Founded in 2015 and headquartered in Philadelphia, Pennsylvania, the company aims to transform businesses into customer-centric organizations by providing insights into customer behavior. Zodiac’s cloud-based platform employs advanced data models and customer analytics to predict future behaviors, enabling marketers to make informed decisions about campaign optimization and sales forecasting. By focusing on individual customer metrics, Zodiac helps organizations acquire and retain high-value customers while minimizing ineffective spending. The company operates as a subsidiary of NIKE, Inc.
Paravision
Series A in 2016
Paravision specializes in face recognition technology, providing solutions for security device manufacturers, systems integrators, and financial services firms. Founded in 2013 and based in San Francisco, the company, formerly known as Ever AI, rebranded to Paravision in 2019. Its Vision AI software leverages advanced deep learning to enhance security and streamline user experiences across various applications. Paravision's offerings include tools for age, gender, emotion, and ethnicity detection, which help enterprises improve security, enhance customer retention, and facilitate customer authentication. The company has a strong record of performance, consistently ranking among the top global performers in NIST evaluations for face recognition technology, excelling in areas such as verification and identification. Paravision aims to advance accuracy, security, and inclusivity in face recognition while providing scalable, modular solutions suitable for both edge and cloud environments.
Bluecore
Series B in 2015
Bluecore is a multi-channel marketing platform that leverages predictive intelligence to enhance retail marketing efforts. The platform unifies and analyzes consumer behavior and product data, allowing businesses to understand each shopper's past interactions and anticipated future behavior with brand products. By managing nearly 500 million shopper IDs and a vast product catalog, Bluecore enables marketers to personalize customer interactions across various channels, including email, websites, display ads, and social media. This data-driven approach empowers businesses to effectively acquire, retain, and grow their customer base.
Crunchbase
Series A in 2015
Crunchbase is a comprehensive platform that assists over 80 million investors, analysts, and dealmakers in identifying and acting on private market opportunities through detailed analysis of company activities. It enables users to discover significant companies via its homepage, Crunchbase Scout, and search functionalities. The platform offers proprietary predictions and insights on organizational profiles, facilitating informed decision-making. Additionally, Crunchbase enhances team efficiency with various features such as data exports, administrative tools, and integrations. By providing unique private company intelligence, Crunchbase bridges the gap between data access and actionable business decisions, ultimately supporting users in navigating the complexities of the investment landscape.
Hyperscience
Series A in 2015
Hyperscience is a technology company that specializes in AI-based enterprise software aimed at automating office work processes. The software utilizes machine learning to handle structured and semi-structured documents, facilitating tasks such as data entry, extraction of key details from invoices, and reconciliation of compliance-driven data. By automating these complex processes, Hyperscience helps organizations and governments enhance productivity and modernize essential operations.
Bluecore
Series A in 2015
Bluecore is a multi-channel marketing platform that leverages predictive intelligence to enhance retail marketing efforts. The platform unifies and analyzes consumer behavior and product data, allowing businesses to understand each shopper's past interactions and anticipated future behavior with brand products. By managing nearly 500 million shopper IDs and a vast product catalog, Bluecore enables marketers to personalize customer interactions across various channels, including email, websites, display ads, and social media. This data-driven approach empowers businesses to effectively acquire, retain, and grow their customer base.
Vicarious
Series B in 2014
Vicarious is an artificial intelligence company founded in 2010 by Dr. Dileep George and D. Scott Phoenix. The company develops neuro and cognitive science-based technologies aimed at creating general intelligence for robots by mimicking the functions of the human brain. Its innovative algorithmic architecture seeks to achieve human-level intelligence in areas such as vision, language, and motor control. Vicarious focuses on visual perception challenges, including recognition, segmentation, and scene parsing. This technology enables robot manufacturers to produce robots with enhanced intelligence and improved task efficiency.
TrueAccord
Series A in 2014
TrueAccord is reinventing the relationship between creditors and lenders with a machine learning-driven, digital approach to debt collection. Our technology personalizes outreach to each customer across digital channels, continuously optimizing for performance while delivering a customer experience that builds long-term brand loyalty.
Avidbots Corp.
Seed Round in 2014
Avidbots Corp. is a Canadian company founded in 2014 that specializes in developing and manufacturing autonomous commercial floor cleaning robots. Its flagship product, NEO, is an advanced scrubbing robot designed to enhance cleaning efficiency in various environments, including airports, retail malls, hospitals, colleges, industrial sites, museums, and warehouses across multiple countries. Avidbots' robots utilize laser mapping technology to create detailed maps of their surroundings, enabling them to plan and execute optimal cleaning paths. The company's vision is to integrate robotics into everyday life, thereby expanding human potential through innovative cleaning solutions.
Rigetti Computing
Seed Round in 2014
Rigetti Computing is a full-stack quantum computing company that designs and manufactures quantum-integrated circuits, deploying them in low-temperature environments. The company develops proprietary control systems to execute quantum logic operations and has created software to integrate its quantum systems with existing cloud infrastructure. Rigetti's innovations include the industry's first multi-chip quantum processor, which enables scalability in quantum computing systems. The company focuses on practical applications of quantum computing, particularly in computational chemistry and machine learning, and offers the Forest platform, a comprehensive programming and execution environment for quantum and classical computing. Most of its revenue is generated from the United States.
EPINOMICS
Funding Round in 2014
Epinomics is revolutionizing personalized medicine through scientific research, deep analytics, and clinical application development.
Vicarious
Venture Round in 2012
Vicarious is an artificial intelligence company founded in 2010 by Dr. Dileep George and D. Scott Phoenix. The company develops neuro and cognitive science-based technologies aimed at creating general intelligence for robots by mimicking the functions of the human brain. Its innovative algorithmic architecture seeks to achieve human-level intelligence in areas such as vision, language, and motor control. Vicarious focuses on visual perception challenges, including recognition, segmentation, and scene parsing. This technology enables robot manufacturers to produce robots with enhanced intelligence and improved task efficiency.
Applauze
Seed Round in 2012
Applauze, formerly 955Dreams Inc., is a new age publishing company. They publish magical titles on mobile devices. Their latest product, called Applauze launched in March of 2013, is an iOS app that presents users with thousands of events happening every day, from concerts and theater productions to sports games and community events. The service is available across 41 U.S. cities and 5 Canadian cities. Applauze finds tickets from primary sellers, as well as secondary markets like StubHub, and uses data analytics and machine learning to recommend relevant events to users, who can easily purchase tickets via the app and also share their event with friends. Applauze is a small group of hackers and designers who are working on mobile products that will engage and excite you. They love what they do and their users love the products they've built. Their designs are executed at a very high standard and their apps are educational and highly immersive at the same time. Applauze has raised money from Mitch Kapor and 500 Startups.
Post Intelligence
Seed Round in 2010
Post Intelligence (Pi) is the world’s first AI-based social media assistant. Pi helps users make great posts and gain followers by creating a deep learning model just for them. Pi learns what you post about and what works well with your audience. Once it understands you and your posting patterns, Pi will suggest great content, optimal times and even personalized topics, so you will always have something to say. The best part is that Pi's skills get better with time, so the more you use it, the better it will get. Pi helps brands manage and optimize their social media. Influencers earn revenue by sharing relevant sponsored content suggested by Pi. More than 1.5m social media influencers used Pi and made over $100m in advertising revenue. As part of PI, we developed Candid, newsfeed app that used deep learning for moderation. The newsfeed app was used by more than 2m users. More about Candid - https://en.wikipedia.org/wiki/Candid_(app) Post Intelligence got acquired by Uber in 2017
Powerset
Series A in 2006
Powerset is a company that developed a natural language search engine aimed at improving the search experience by understanding the semantic meaning behind queries rather than relying solely on keywords. Founded in September 2005, Powerset sought to make search more intuitive and user-friendly. The platform allows users to search content on the internet using natural language, enhancing the relevance and accuracy of search results. In July 2008, Powerset was acquired by Microsoft, further integrating its innovative technology into broader search applications.
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