Top Artificial Intelligence Startups in San Francisco, CA

At Toi Labs, we’re pioneering the next frontier of personal health monitoring—starting in the most unexpected place: the bathroom. By transforming the toilet into a passive health companion, we deliver real-time, actionable insights into gut health and more—without requiring users to change their behavior. Our platform enables early detection and preventive care right from the home. Recognized by TIME as a Best Invention of the Year and backed by TOTO, Sloan and the NIH, we’re combining elegant design, embedded technology, and data science to redefine how—and where—healthcare happens.

Afresh is on a mission to reduce food waste and increase access to nutritious food globally by transforming the fresh food supply chain. Our AI-powered solutions optimize the multi-trillion-dollar grocery industry's food ordering, production, and merchandising processes. We built the first platform capable of handling all of Fresh food’s complexities. We are relentlessly focused on helping grocers reduce waste, increase profitability, and bring better, fresher food to their communities. Afresh is currently deployed in hundreds of grocery stores across the United States and is on track to reduce 30 million pounds of food waste per year with our existing customers alone. By 2021, we're aiming to reduce food waste by a quarter billion pounds per year. We are a passionate team united by our mission to make an impact. As an Afresh employee, you’ll own meaningful work that will challenge you and change the future of how fresh, nutritious food makes its way through the supply chain. We hope you’ll join us!

Agent IQ makes banking personal again by transforming the digital banking experience through 1:1 customer interactions supplemented by state-of-the-art Conversational AI for banks, credit unions and other financial organizations.

A global platform that empowers sustainability: news, articles, startups, and a sustainability index. OUR STORY We were founded in Rome in 2014. From there, we established our presence online via our sustainability news portal: impakter.com PARTNERS We are partners of many UN organisations, NGOs, think tanks, research centers and Universities. PROFILES: Linkedin: linkedin.com/company/impakter Twitter: twitter.com/Impakterdotcom Facebook: facebook.com/impakterdotcom Instagram: instagram.com/impakter

Prime Intellect democratizes AI development at scale. Our platform makes it easy to find global compute resources and train state-of-the-art models through distributed training across clusters. Collectively own the resulting open AI innovations, from language models to scientific breakthroughs.

We're a passionate A+ team solving Security challenges for enterprises using AI Agents. Customers include leading multi-billion dollar enterprises and Fortune 500. Team split across the US and India.

MavenAGI is on a mission to reimagine enterprise customer experience, starting with support. We believe that today’s support experience is broken: slow and painful for customers, and expensive and human capital intensive for companies. We are building Maven to deliver better, cheaper support, for both end users and agents. With recent advancements in Generative AI, it is now possible to deliver delightful customer experiences at a fraction of today’s cost.

We are a well-funded, VC-backed stealth startup in the San Francisco Bay Area working on ‍AI Customization and Alignment. We are a highly technical team with expertise in LLM alignment and reinforcement learning from Stanford, Hugging Face, and Google. Collinear’s mission is to accelerate enterprise adoption of open source LLMs by providing customization-as-a-service, thereby unleashing the full potential of AI, surpassing current limitations and expectations. ‍ ‍By generating and utilizing synthetic data, Collinear AI can train models in safe, controlled environments, reducing the risk of harmful outputs and ensuring that deployments are ethical and align with client and societal values.‍‍ Simply put, we enable enterprises to adopt open-source LLMs by customizing them for their use cases and requirements.