Top Artificial Intelligence Startups in San Francisco, CA

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.

Our mission is to help people make decisions they love, instantly. We're tackling the most economically impactful decisions first: the average shopping journey takes 79 days, and we're taking that to less than 1. Since our public launch in late 2023, we've grown exponentially to guide millions of users to their perfect product. We recently built the foundation of a neurosymbolic AI agent that learns more about the world on every search. This breakthrough dramatically increases search accuracy, opens up new categories, and propels us towards a world where making a decision is as well-informed as asking an expert and easy as asking a friend.

Our mission is to inspire an elite team of engineers to solve the world’s most valuable problems using AI. We solve hard AI-driven problems that our customers don't have the resources or know-how to staff themselves – cutting through jargon and flashy demos to get AI into production, fast.

Hallak & Co. is the company behind O.S.C.A.R.™ Proprietary Operational Execution Infrastructure. O.S.C.A.R.™ establishes ownership, accountability, decision structure, KPIs, reporting and leadership cadence across organizations as growth, AI, automation and new ways of working increase operational complexity. Developed from nearly three decades of firsthand business-building and operating experience, O.S.C.A.R.™ is designed to strengthen how organizations execute across teams. Hallak & Co. is expanding O.S.C.A.R.™ through client organizations and a network of experienced Independent Executives, while building the foundation for a future O.S.C.A.R.™ SaaS platform.

We have been running a bootstrapped startup ActionableAnalytics.Biz for over a decade. We have an IP unit that incubates new ideas and spins of startups. Currently we are trying to get AGACP off from the ground, as multi agent systems is the future to solve agentic problems.

Our mission is to give leaders clarity and engineers time. We help leaders understand how their products and codebases are evolving, what’s changing, who’s working on what, and where progress is happening, grounded in the ultimate source of truth: the code.

The architectures that power modern AI were designed for language, not for science. They were never built to understand DNA, interpret experiments, or learn the rules that govern living systems. Closing this gap represents one of the defining opportunities of our time. Our team has pioneered advances across frontier AI, including the first models trained with one-million-token context windows, and now scaling toward one billion. We focus on innovations on systems and architecture, because building AI for science demands a fundamentally different foundation. As a first application of this technology engine, we are advancing AI for life, the most complex and consequential domain of all. We are the AI team behind Evo and Evo 2, the generative genomics models used to create real gene-editing tools and the first whole genomes designed entirely by AI. That work demonstrated that AI can create biology, not just analyze it. We are now building multimodal models trained directly on the fabric of biology, enabling faster discovery, deeper understanding, and entirely new capabilities. As we push the frontier of scientific world models, we will build systems hand-in-hand to ensure global biological resilience: rapid detection, rapid response, and rapid countermeasures against emerging threats, both natural and synthetic. Our mission is ambitious: to reimagine what AI can do for science, and to build that future.