Moodbit analyzes active data from communication platforms in an anonymous and secure way. With the use of AI we can deliver real-time analytics to managers on the human factor data (engagement, behavior, interactions) to find the internal influencers, and make data-driven decisions. Also, we send action plans (meditation, breathing techniques, and more) directly to the employees to increase in more than 30% their wellbeing. Moodbit is a data-driven B2B SaaS company which is moving the AI & Machine Learning ecosystem forward to help companies to solve the future of work.
Ahura AI, an EdTech startup using artificial intelligence to create personalized learning tools that replicate a 1-to-1 learning experience
Neuronix AI Labs specializes in artificial intelligence-based solutions for computer vision, aiming to reduce costs and power consumption for devices with limited computational resources. Founded by Yaron Raz and Asher Hazanchuk and headquartered in Sunnyvale, California, the company develops software licenses and core intellectual property that can be integrated into next-generation silicon or executed on existing programmable hardware. Neuronix AI Labs focuses on practical applications in industries such as industrial automation, smart cities, and military operations, enabling clients to efficiently run computer-vision applications even in environments with constrained computing, memory, or battery capabilities. The company has established a strategic partnership with AMD to enhance its offerings.
Inanna Fertility specializes in developing clinical decision support solutions specifically for fertility clinics, focusing on enhancing the outcomes of in-vitro fertilization treatments. The company offers a groundbreaking algorithm-based platform that integrates machine learning and a comprehensive patient database to deliver personalized treatment recommendations. This platform is designed to dynamically adjust based on each patient's medical history and treatment responses, providing physicians with critical insights to inform their decisions. By leveraging this technology, Inanna Fertility aims to reduce the physical, emotional, and financial burdens faced by couples undergoing fertility treatments, ultimately improving their overall experience and success rates in achieving pregnancy.
TAZI is a provider of automated machine learning solutions, catering to various industries including banking, insurance, retail, telecommunications, Internet of Things (IoT), and healthcare. Founded in 2015 and headquartered in Sausalito, California, TAZI also maintains offices in San Francisco and Amsterdam, along with a research and development facility in Istanbul. The company focuses on creating a user-friendly machine learning platform that enables business professionals to leverage advanced analytics without requiring extensive technical expertise. Through its innovative solutions, TAZI aims to enhance decision-making processes across multiple sectors.
BestPlace - a B2B geo-information service for an accurate forecast of the revenue of a new outlet based on machine learning algorithms using accurate geo-referenced data.
Yieldigo, s.r.o. is a company based in Prague, Czechia, that specializes in developing a SaaS-based web application aimed at optimizing retail pricing. Established in 2016, it caters to a diverse clientele, including supermarkets, drugstores, pharmacies, and e-commerce chains. The company's software employs proprietary machine learning algorithms to analyze consumer purchasing behavior and align it with retailers' business objectives, enabling the establishment of optimal pricing strategies. Yieldigo's tools facilitate pricing managers in making informed decisions by simulating shopper behavior, predicting key performance indicators such as profit, revenue, and margin, and providing recommendations for promotions. The application helps retailers enhance profitability by achieving a profit uplift of 5-15% while maintaining revenue and pricing stability. With additional locations in San Francisco and Moscow, Yieldigo is committed to maximizing operational efficiency for its clients across various retail sectors.
Baseet.ai, Inc. is a company that specializes in developing a platform for enhancing existing applications with artificial intelligence capabilities. Founded in 2019 and located in San Mateo, California, Baseet.ai offers a user-friendly drag-and-drop application platform that enables users to easily deploy AI features such as sentiment analysis, dynamic pricing, and fraud detection without requiring in-house data science expertise. The platform also includes pre-built applications in areas like face recognition and object detection, along with an online code editor and tutorials to assist users in creating their own applications. This approach allows businesses to accelerate their adoption of AI technologies without the need to hire specialized data scientists, thus streamlining the integration of AI into various operational processes.
Materiall, Inc. is a technology company founded in 2015 and located in Milpitas, California. The company specializes in developing an AI and machine learning-driven product discovery software solution designed to enhance customer engagement in both online and physical retail environments. Materiall's platform utilizes consumer engagement analytics to offer personalized product recommendations and mobile-optimized search capabilities. By leveraging artificial intelligence, the solution enables omnichannel retailers to better understand individual customer preferences and improve the overall shopping experience, facilitating effective interactions both in-store and online.
Veda Labs Pvt. Ltd. is a retail analytics company based in Gurugram, India, founded in 2017. The firm specializes in developing an artificial intelligence platform that utilizes computer vision and deep learning techniques to provide actionable insights for retailers. Its key products include Count, which measures foot traffic in retail spaces, and Identity, which analyzes the gender and age of customers while tracking repeat visits. Additionally, Veda Labs employs AI to monitor and analyze activities captured through CCTV cameras, offering valuable data for warehouses and retail chains. By leveraging these capabilities, the company enables retailers to optimize inventory management and enhance marketing strategies through real-time business insights. As of August 2019, Veda Labs operates as a subsidiary of Satin Neo Dimensions Private Ltd.
Particle Inc. develops and operates natural language processing for commodity price forecasting. The company through its platform collects structured and unstructured data in the network, analyzes it, and predicts the movement of raw material prices. The company was founded in 2016 and is based in San Jose, California.
Particle Inc. develops and operates natural language processing for commodity price forecasting. The company through its platform collects structured and unstructured data in the network, analyzes it, and predicts the movement of raw material prices. The company was founded in 2016 and is based in San Jose, California.
TestRigor provides an AI-powered autonomous software regression testing. It utilizes machine learning and crawler to automatically discover functionality and test it on human-level.
TestRigor provides an AI-powered autonomous software regression testing. It utilizes machine learning and crawler to automatically discover functionality and test it on human-level.
Tangent.ai is a company that specializes in developing an artificial intelligence platform aimed at enhancing marketing campaigns through high-quality content. The platform focuses on creating personalized images specifically for the fashion e-commerce sector, enabling brands to connect more effectively with their customers. By analyzing model attributes such as age, gender, facial expressions, position, and pose, the platform helps businesses understand the impact of these factors on shopper engagement and revenue. This capability allows fashion brands to optimize their marketing strategies, ultimately driving sales and improving overall revenue.
Developer of an artificial intelligence-based platform intended to offer labor management-related services. The company's platform using machine learning helps to generate data streams which are later collected and managed for audit and compliance risk, enabling clients to receive assistance regarding ambiguity and constraints in broad multi-stakeholder systems.
DinoPlusAI Inc. designs and develops an artificial intelligence (AI) platform for computing/cloud and traditional data centers/cloud. Its platform is used in latency-sensitive AI applications, such as real-time malware detection in cybersecurity, fraud prevention in Fin-Tech, natural language and speech processing, video and image classification, industrial automation, and autonomous driving. The company was founded in 2017 and is based in Fremont, California, with an additional office in Beijing, China.
Mechanica AI is a technology company focused on enhancing industrial operations through machine learning and artificial intelligence. The company offers a suite of AI-powered products designed to help industrial firms utilize their data assets effectively, thereby maximizing profit margins and improving yield. Mechanica AI's technology is specifically engineered to handle imperfect manufacturing data, enabling automated decision-making and process control. By embedding AI into industrial processes, the company aims to facilitate digital transformation, improve operational efficiency, and promote sustainability within the sector.
Loadtap offers a platform that enables the control and monitoring of freight and fleets in real time. LoadTap makes logistics smarter and faster using machine learning. LoadTap is not an on-demand trucking app. It provides predictive freight and truck matching technology for 3PLs, Shippers and Freight Brokers.
21Squared combines artificial intelligence with user-generated content to help plus-size women find the perfect outfit. 65% of American women are considered plus-size but they only account for 18% of the entire women's fashion market revenue, because it is very difficult for them to find clothes that fit. Through our 21Squared engine, women are matched with other women who share a similar body shape and style preferences, thus giving them a better shopping experience, while helping them build a community.
Cogitai, Inc. specializes in the development and commercialization of artificial intelligence software that employs continuous learning to adapt and acquire new skills through real-world interactions. The company's innovative software enhances the machine learning capabilities of various devices and domains, allowing clients to improve their systems for applications such as automated marketing and customer engagement. Additionally, Cogitai's technology supports the advancement of interactive robots, enabling them to learn and evolve based on their experiences. By focusing on continual learning, Cogitai aims to provide solutions that enhance the adaptability and functionality of AI systems across multiple sectors.
Neulogic offers a solution that combines AI with a fashion knowledge graph to generate outfits on demand.
Deep Science builds video and audio surveillance capabilities using the latest in deep learning AI. Its AI Surveillance (AIS) platform can spot weapons, people concealing their identity, fire, intruders after-hours, as well as detect screaming, gunshots, and glass breaking, all at a fraction of the cost of a human-only monitoring solution. We integrate with central monitoring stations to augment the capabilities of humans to actively monitor public spaces. Faster response times when they matter most, greater deterrence, and better liability protection.
AitoeLabs specializes in developing a visual intelligence platform that processes videos and images for analytical purposes. The company offers services such as peak traffic analysis, anomaly detection, and natural language query capabilities. AitoeLabs customizes deep learning models by fine-tuning them on specific data from deployment scenarios, which significantly enhances their accuracy. This customization is facilitated by a proprietary quick data training pipeline that incorporates research in data summarization and active learning, allowing for minimal effort and rapid turnaround times. Furthermore, their optimized models are designed to operate effectively on resource-constrained edge devices.
Model Serving is the process of applying trained machine learning models at scale for applications. And BentoML.ai is the SaaS platform providing an end-to-end model serving solution for data science teams, based on our open-source project BentoML. BentoML is an open-source platform for high-performance machine learning model serving. It makes it easy to build production API endpoint for your ML model and supports all major machine learning frameworks, including Tensorflow, Keras, PyTorch, XGBoost, scikit-learn, fastai and more. BentoML comes with a high-performance API model server with adaptive micro-batching support, bringing the advantage of batch processing to online serving workloads. It also provides batch serving, model management and model deployment functionality, which gives ML teams an end-to-end model serving solution, with DevOps best practices baked in.
Sparkflows is a developer of a data engineering and machine learning platform tailored for enterprises. The platform focuses on streamlining and accelerating the development of machine learning-driven data products. It offers features such as visual application development and streaming analytics, allowing users to connect to various data sources and implement machine learning algorithms. Additionally, Sparkflows enables the scheduling of workflows to manage bulk datasets effectively. This functionality assists businesses in generating insightful reports for analyzing sales, efficiency, and overall productivity while ensuring data privacy is maintained.
Cleo provides a real-time solution to help businesses get access to better data and intelligence.
Eloquent Labs Inc. develops conversational artificial intelligence technology designed for e-commerce platforms, offering solutions to enhance customer support. Founded in 2016 and based in Redwood City, California, the company provides an AI representative named Elle, which autonomously answers customer inquiries regarding orders and handles routine tasks without burdening human support teams. Drawing on expertise from the Stanford Natural Language Processing group, Eloquent Labs’ AI can engage in natural conversations with customers while effectively recognizing when to escalate more complex issues to human agents. The software also has the capability to learn from documents, integrate with existing systems, and perform customized tasks, ultimately aiming to improve customer loyalty, employee satisfaction, and operational efficiency. As of May 2019, Eloquent Labs operates as a subsidiary of Square, Inc.
Developer of an online recruitment platform designed to connect companies with specific candidates. The company's platform provides an online marketplace that applies big data and learning models to optimize and qualify candidates for companies, hiring managers, and recruiters, as well as use talent analytics that combines both artificial and human intelligence, enabling clients to get lifetime value of their people data and find the desired candidate for their vacant position.
Developer of an online recruitment platform designed to connect companies with specific candidates. The company's platform provides an online marketplace that applies big data and learning models to optimize and qualify candidates for companies, hiring managers, and recruiters, as well as use talent analytics that combines both artificial and human intelligence, enabling clients to get lifetime value of their people data and find the desired candidate for their vacant position.
Avaamo is a deep-learning software company based in Los Altos, California, established in 2014. The company specializes in developing a conversational artificial intelligence platform that automates customer service and enhances employee experience. Avaamo's technology integrates machine learning and conversation design with existing enterprise workflows, enabling organizations to efficiently design and deploy virtual assistants and enterprise bots. The company's mobile application, available on both Android and iOS, consolidates communications into a secure interface, further streamlining interactions. Additionally, Avaamo has formed a strategic partnership with Tech Mahindra to expand its offerings and capabilities in the enterprise sector.
Choice AI is an e-commerce assistance platform that enhances online shopping experiences through advanced artificial intelligence. Founded in 2016 and based in Palo Alto, California, the company offers a virtual sales assistant that engages users in real time, transforming visitors into buyers. Its suite of tools includes shopping assistance widgets that replicate the in-store experience by providing product suggestions and personalized style recommendations. Additionally, the platform features engagement triggers that analyze shopper behavior to deliver timely nudges, such as discounts and inquiries, to facilitate purchases. Choice AI also offers automated email solutions that generate personalized content for shoppers and integrate with popular email services. The image search functionality allows users to find products based on visual features they prefer. Overall, Choice AI aims to optimize e-commerce conversion rates while maintaining a user-friendly shopping environment.
Flowcast Inc. is a technology company that focuses on developing machine learning algorithms to create predictive models for assessing credit risk. Founded in 2015 and based in San Francisco, with an additional office in Singapore, Flowcast offers several solutions, including Smartcredit, which provides detailed company information for credit decisions; Smartclaims, which automates the deduction claims process; and Tillful, a platform that offers credit scores and access to credit offers. The company's predictive models evaluate a business's ability to repay loans, the risk of delinquency, and the likelihood of transaction dilution. By utilizing alternative data and proprietary analytics, Flowcast's API-based solutions enable financial institutions to perform real-time risk assessments, enhancing their ability to make informed credit decisions across various business sizes. Flowcast serves a diverse clientele, including corporations, financial institutions, and insurance providers.
AdWill is a demand-side platform specializing in mobile advertising, enabling businesses to purchase mobile display traffic through real-time bidding. Utilizing a sophisticated machine learning algorithm, AdWill analyzes a wide range of demographic and behavioral attributes to optimize bidding strategies and enhance conversion rates. The platform operates on a large scale, bidding on over 2 billion impressions daily across more than 120 countries, providing clients with extensive reach in mobile advertising.
FunnelBeam is a company based in the United States that specializes in developing machine learning algorithms designed to enhance sales effectiveness. By capturing leads and generating machine models from historical sales data, FunnelBeam enables organizations to create tailored sales strategies. The company offers AI-driven account-based sales tools that provide deep insights into prospects and accounts, allowing for data enrichment and advanced analytics. This approach helps clients identify key prospects, personalize their outreach, and ultimately convert leads more efficiently. FunnelBeam's technology aims to increase revenue and improve overall organizational performance by integrating with existing systems to leverage strategic data for targeted engagement.
Quantiply is a cognitive intelligence company. We provide Artificial Intelligence powered Performance and Risk Intelligence solutions to enterprises. Our cloud based AI platform, The Cognitive Intelligence Machine, makes it easy to create cognitive apps that can sense, learn, predict, and act.
Say goodbye to spreadsheets and labor intensive, slow legacy BI. Replace outdated legacy applications with a complete, cloud-based cognitive intelligence. Utilize the power of Artificial Intelligence to keep your thumb on the pulse of your enterprise performance and risk; empower managers with a real-time view of the business.
AgriData, Inc. specializes in digital yield forecasting solutions tailored for orchards and vineyards. The company employs machine learning and computer vision to assess crucial factors such as fruit quantity, density, and size, which aids farmers in optimizing their operations. Additionally, AgriData's technology evaluates various attributes, including maturity, defects, diseases, and pests, providing comprehensive insights for effective farm management. Founded in 2015 and headquartered in Mountain View, California, AgriData is dedicated to enhancing agricultural productivity through advanced data-driven approaches.
Flowcast Inc. is a technology company that focuses on developing machine learning algorithms to create predictive models for assessing credit risk. Founded in 2015 and based in San Francisco, with an additional office in Singapore, Flowcast offers several solutions, including Smartcredit, which provides detailed company information for credit decisions; Smartclaims, which automates the deduction claims process; and Tillful, a platform that offers credit scores and access to credit offers. The company's predictive models evaluate a business's ability to repay loans, the risk of delinquency, and the likelihood of transaction dilution. By utilizing alternative data and proprietary analytics, Flowcast's API-based solutions enable financial institutions to perform real-time risk assessments, enhancing their ability to make informed credit decisions across various business sizes. Flowcast serves a diverse clientele, including corporations, financial institutions, and insurance providers.
The founding team at Maxerience comes with a wide and rich experience in the areas of - Machine Learning - Computer Vision - Parallel Computing - Embedded Systems - Signal Processing - IC and Electronic system design The confluence of such diverse backgrounds and expertise is the backbone of Maxerience.
Nightingale Analytics is a decision software for streaming data.
Perfect Price is a cloud-based AI platform focused on pricing and revenue management, founded in 2014 and headquartered in Oakland, California. The company leverages advanced artificial intelligence to analyze various factors, including inventory levels, historical sales data, competitor pricing, and consumer demand, allowing businesses to adjust prices in real-time. Designed for dynamic industries such as car rental and transportation, Perfect Price offers a solution that anticipates consumer price sensitivity and automates price changes, enabling companies to respond swiftly to market conditions and customer behavior. By providing a data-driven approach, Perfect Price aims to enhance revenue performance, profitability, and growth, helping enterprises eliminate the complexities and uncertainties associated with traditional pricing strategies.
Domos Labs Oy, founded in 2014 and located in Oulu, Finland, specializes in developing a cloud-based Wi-Fi platform that enhances connected home experiences. The company employs machine learning algorithms to continuously gather data on customer premise equipment (CPE) usage, optimizing home networks. Their technology supports a unified API across various connected device categories, simplifying the development process for app creators. By utilizing established open-source technologies, such as OpenWRT and Docker, Domos Labs offers a solution that deploys a small agent onto routers over the air, allowing for real-time monitoring of network and device performance. This enables the identification of issues and the automatic application of fixes, resulting in improved Wi-Fi speeds and a reduction in support inquiries for users.
Domos Labs Oy, founded in 2014 and located in Oulu, Finland, specializes in developing a cloud-based Wi-Fi platform that enhances connected home experiences. The company employs machine learning algorithms to continuously gather data on customer premise equipment (CPE) usage, optimizing home networks. Their technology supports a unified API across various connected device categories, simplifying the development process for app creators. By utilizing established open-source technologies, such as OpenWRT and Docker, Domos Labs offers a solution that deploys a small agent onto routers over the air, allowing for real-time monitoring of network and device performance. This enables the identification of issues and the automatic application of fixes, resulting in improved Wi-Fi speeds and a reduction in support inquiries for users.
At RelinkLabs we are building the world’s smartest platform for people insight. We analyse big data from across the web, developing applications which help our customers to make smarter, better and quicker business decisions when knowledge about people is essential.
Wise.io delivers better customer experience through machine learning. Leveraging cutting-edge data science and built on a powerful machine learning engine that learns from past patterns to predict future behavior, Wise.io applications help business users regain control over complex decision making in the face of ever-growing and increasingly diverse data. By maximizing existing investments and augmenting human decision making with predictive analytics, Wise.io enables enterprises to efficiently scale customer-facing operations while increasing the level of customer care. The company integrates its proprietary high-performance machine learning system with a customer’s SaaS-based business applications to automatically infer prior patterns in order to predict, optimize, and influence future behavior.