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Automotive • Machine Learning • Robotics
Palo Alto, CA, US
51 Employees

Voyage is delivering on the promise of self-driving cars. Voyage has built the technology and services to bring autonomous transportation to those who need it most, beginning in retirement communities. Whether residents face mobility restrictions or just want to take a ride, Voyage takes pride in getting all our passengers to their destination safely, efficiently, and affordably. Our journey begins in calmer communities, but we won’t stop until anyone, anywhere can summon a Voyage. Voyage was acquired by Cruise in March 2021.


Artificial Intelligence • Automotive • Big Data • Machine Learning
2 Offices
10,001 Employees

KAR Global powers the world’s most trusted automotive marketplaces through innovation, technology and people. Our diverse team helps manufacturers, financial institutions, insurance companies and dealer groups buy, sell and trade used vehicles.


Fintech • Insurance • Machine Learning
New York, NY, US
11 Employees

Operating in the fintech and insurtech space, Arthena is a technology firm that creates Machine Learning (ML) based solutions for the art market. Arthena’s best in class technology brings rigor and clarity to the art market, transforming a $1.7 trillion-dollar industry. Arthena provides an operating system for data-based, art market pricing transparency. Our technology allows for the creation of products to better understand, price, protect, hedge, and invest in art assets


Artificial Intelligence • Machine Learning
San Francisco, CA, US
230 Employees

Founded in 2006, VentureBeat is the leading source for transformative tech news and events that provide deep context to help business leaders make smart decisions and stay on top of breaking news. VB is recognized as the leading media authority in artificial intelligence, machine learning, and data. It also offers the most incisive coverage of the game industry. Whether you come for the articles, read our newsletters, or attend our events, you will emerge from VentureBeat with new knowledge, perspective, influences, and connections. News: We live, breathe, and cover transformative technology — from AI to gaming, small business to enterprise, AR/VR to 5G, and more. Newsletters: Want to stay on top of the latest without leaving your inbox? We send you all the news and analysis you need — and nothing more — with our daily and weekly newsletters. Events: Whether it’s one of our large flagship events, or an intimate private gathering, our events are always authentic, unique, in-person experiences formed around innovative technology, discussions, and ideas.


eCommerce • Machine Learning • Retail
Monrovia, CA, US

Juvo+ (Juvo Plus) is a leading developer and marketer of consumer products across eighteen brands, working with the largest marketplaces and retailers in the world. We create products that transform houses to homes, that celebrate the big and little moments in life, and that just make everyday things easier. We constantly apply Retail Science™, our in-house approach to leveraging data, applying machine learning tools, and next-gen processes to continually expand our catalog, delighting our customers and swiftly moving to meet our mission of having at least one of our products in every home.


Artificial Intelligence • Machine Learning • Software
San Diego, CA, US
12 Employees

XOKind is an AI startup, formed with the mission of simplifying human planning and decision.


Artificial Intelligence • Information Technology • Machine Learning
Washington, US
2 Employees

Credit Washington specializes in deep application research and precise implementation in AI, machine learning and data science.


Artificial Intelligence • Machine Learning • Software • Analytics
Chatsworth, CA, US
706 Employees

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.


Artificial Intelligence • Machine Learning • Business Intelligence
4 Offices
7,810 Employees

[24]7.ai™ customer engagement solutions use conversational artificial intelligence to understand customer intent, enabling companies to create personalized, predictive, and effortless customer experiences across all channels; attract and retain customers; boost agent productivity and satisfaction; and drive revenues while lowering costs. The world’s largest and most recognizable brands use [24]7.ai intent-driven technologies to serve several hundred million visitors through billions of conversations annually, most of which are automated. The result is an order of magnitude improvement in digital adoption, customer satisfaction, and revenue growth. For more information, visit: www.247.ai. [24]7.ai is based in San Jose, California. [24]7.ai is a registered trademark of 24/7 Customer, Inc.


Machine Learning • Mobile • Social Media • Software
Pittsburgh, PA, US

FacioMetrics develops facial analysis software for mobile applications.

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Cloud • Fintech • Information Technology • Machine Learning • Software • App development
18 Offices
1900 Employees
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Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
2 Offices
100 Employees
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Artificial Intelligence • Computer Vision • Hardware • Machine Learning • Robotics • Software • Agriculture
6 Offices
120 Employees
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Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
2 Offices
93 Employees
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
5 Offices
23100 Employees
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Fintech • Machine Learning • Mobile • Security • Software • Analytics • Data Privacy
3 Offices
1336 Employees
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AdTech • Digital Media • Machine Learning • Marketing Tech • Software • Travel • Hospitality
3 Offices
396 Employees
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Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
2 Offices
200 Employees
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Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
New York, NY, US
165 Employees

Artificial Intelligence • Machine Learning
San Diego, CA, US
7 Employees

Surrey Precision Tool is a machine learning company located in San Diego.


Artificial Intelligence • Machine Learning • Software
Palo Alto, CA, US
28 Employees

Verta is a Palo Alto-based startup building software infrastructure to help enterprise data science and machine learning (ML) teams rapidly develop and deploy ML models. The Verta platform builds upon pioneering research at MIT CSAIL on ModelDB, the first open-source model management system, currently used at Fortune 500 companies. Verta’s technology extends ModelDB to support the entire modeling lifecycle including model training, deployment, and governance.


Artificial Intelligence • Big Data • Machine Learning • Analytics
San Jose, CA, US
175 Employees

Guavus, a Thales company, is at the forefront of AI-based big data analytics and machine learning innovation, driving digital transformation at the world’s largest telecommunications providers. Using the Guavus-IQ analytics solutions, customers are able to analyze big data in real time and take decisive actions to lower costs, increase efficiencies, and dramatically improve the end-to-end customer experience – all with the scale and security required by next-gen 5G and IoT networks. Guavus enables communications service providers to leverage applications for advanced network planning and operations, mobile traffic analytics, device management analytics, marketing, customer care, security and IoT


Artificial Intelligence • Healthtech • Machine Learning • Software
San Jose, California, US
33 Employees

HEALTH[at]SCALE is a healthcare machine intelligence company that uses proprietary advances in artificial intelligence and machine learning to optimize care delivery for individuals by empowering at-risk payers, employers and providers. Founded by machine learning and clinical faculty from MIT, Harvard, Stanford and U-Michigan, the company’s mission is to bring precision delivery to healthcare through personalized and predictive algorithms that match individuals to the next best action in real-time and when needed most -- whether it’s the ideal choice of treatment, an early intervention, or the right provider. HEALTH[at]SCALE’s machine intelligence is deployed at scale in real operational settings, including with some of the largest payers in the country, across millions of lives driving better health outcomes, access and affordability for its customers. The company's software solutions service a broad range of use cases: provider navigation and network design, early targeted prediction and prevention of adverse outcomes, optimized treatment planning; and fraud, waste and abuse prevention. For more information, please visit healthatscale.com.


Automotive • Insurance • Machine Learning • Mobile • Software
2 Offices
750 Employees

At Root, we’re doing things differently. We’re reimagining the services people need so that they serve them better. And we’re doing it by using data, technology, and rapid innovation to create products and experiences that are fair, easy, personal, and affordable. We’ve partnered with Carvana in a partnership that brings an industry-leading, seamless insurance process to the online car buying experience. The launch of Carvana Insurance Built with Root delivers an elevated customer experience made possible through a deep integration that pre-fills key customer information so that a customer can skip data entry and jump directly to evaluating quotes and customizing coverage. This fully embedded product experience—from quote to payment—happens entirely within the Carvana checkout process. Teams from both Carvana and Root have worked for months to build this bold technology platform. An early iteration involved 24 screens in the customer experience flow—that experience is now just three straightforward steps.


HR Tech • Information Technology • Machine Learning • Marketing Tech • Natural Language Processing • Software • Web3
2 Offices

We are a startup company built by industry veterans with a global team based in the United States, Canada and India. Our team's background is in the IT industry having worked across a variety of disciplines. Our head office is located in Toronto, Canada. Our company is registered in Ontario as PerformDigital Inc. We understand the industry and can quickly adapt to the needs of our clients, from direct hire, staffing to on-demand talent. Our software development service covers all technology including ASP.net, Java, PHP and web development.


Artificial Intelligence • Big Data • Machine Learning
Seattle, WA, US
23 Employees

Kaskada is an innovative, Seattle-based, machine learning company that is leveling up the data science and machine learning industries. We are the company that first solved temporal streaming join, helping users create and operate predictive models with event-based data. Now, users can build models that weren't previously possible, that will actually work once put in production – without leakage. With Kaskada, you can choose to calculate all feature values at any point in time. Or, you can calculate the feature values for each entity at the time an event occurred. For instance, calculate all features at the exact time a user made a large purchase, when a customer churned out 30 days after their planned subscription date, or at the time of a fraudulent transaction. Use these point-in-time and event-driven feature values to train models without risk of leakage. When you're ready, you can compute the same feature values with a time of "now" to make new predictions using a live model in production. Quickly try ideas on historical data by computing the prediction and label times for each training example directly from event times and fields. Iteration enables exploration and discovery. Check out Kaskada in action on industry-specific solutions and try it yourself


Information Technology • Machine Learning • Mobile • Security
Pittsburgh, PA, US

Zipano develops and commercializes user-controllable privacy technologies to promote the adoption of applications and services.


eCommerce • Machine Learning
Lake Oswego, OR, US
336 Employees

Vesta is an end-to-end transaction guarantee platform for online purchases. We use machine learning backed by 25 years of transactional data to increase approvals of legitimate sales for our customers, while eliminating chargebacks and other forms of digital fraud. We drive the true cost of fraud to zero and transfer 100% of the liability for fraud, including chargeback processing, so customers can focus on increasing sales


Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Louisville, CO, US
5 Employees

We’re on a mission to transform access to custom software using explainable AI capable of human-level reasoning and dialogue. We envision a future where custom, flexible, and durable software is democratized and accessible to everyone. We are a VC-funded startup founded by repeat founders, building a product in a new category. Realizing this vision requires AI that reasons over and continuously learns an unbounded and customized knowledge base. It requires AI that, when given a task, determines missing information, asks clarifying questions, and highlights assumptions. It requires AI that explains its reasoning and validates its answers. We don’t see evidence that the current paradigm of ever-larger deep learning language models can realize this vision. So our approach combines the strengths of deep learning in dealing with noisy and ambiguous data with the strengths of symbolic AI in explainable reasoning and data-efficient learning. We believe that this neuro-symbolic flavor of AI will enable more useful and reliable applications in the long term. Building startups is rewarding but hard work, especially at the technological frontier. We play hard in the Colorado front-range, whether it be hiking, mountain biking, skiing, or trail-running. But we also know that building out the vision that excites us won't be easy and will need hard work and enthusiasm. If, like us, you are skeptical of the AI status quo and are excited to develop its next chapter in a driven and product-focused team, reach out to us or check out our open positions.