Top Artificial Intelligence Startups in San Francisco, CA

The only conversational AI platform for Self Storage. When others close their doors at 6PM, you’re still open. 24/7 in fact. You’d be surprised at how many people are looking to rent storage units at 2AM. The goal of automation should be to make the lives of people easier—whether those people are your customers or your facility manager. Automation eliminates repetitive and tedious tasks—freeing up people to spend their time on more worthwhile activities.

AI-powered, end-to-end simulation and operating platform that helps companies develop, manage, and optimize standalone and hybrid storage projects.

Agentic Operating Procedures for your ERP. Execute at machine speed, learn from every exception, and improve with every transaction.

Every business that sells something a person has to install, use, or repair already has the video, cannot search it, and has customers asking about it anyway. We built the thing that finds the answer. Businesses pay us to turn how-to video into an expert on their own channels that answers their customers in their own voice.

We empower students with AI-enabled personalized learning tools that increase engagement and improve memory retention.

General Compute is the neocloud for alternative chips. Inference is fragmenting: purpose-built silicon from SambaNova, Cerebras, Positron, d-Matrix, and others already beats GPUs on decode, and we productionize that hardware — we buy the racks, find the data center space, and run it for our customers. Each piece of hardware runs the workload it's actually built for: prefill stays on GPUs, decode moves to the chip built for it, and today that means generating tokens 5–7× faster than existing GPU-based competitors. Our customers are frontier labs, fast-growing AI application companies, and asset-light clouds. We closed a $15M seed round in May 2026, and have since closed a $400M debt facility — $100M funded upfront by Upper90, with the balance available for drawdown — collateralized by our inference chips.

Your shield against digital distractions.

Most AI systems are built as one-size-fits-all solutions. Powerful in benchmarks, brittle in production. In a real workplace, they fall short. Not because they lack intelligence, but because they don't know your business. They're missing your domain knowledge, your workflows, your team's preferences, and the unwritten rules that make your organization run. That gap between general intelligence and operational context is where most enterprise AI implementations fail. Stochastic was built to close that gap. We give enterprises a private, tailored AI system they fully own. One that learns continuously from real behavior and user feedback, adapts to their specific environment, and gets sharper the longer it's in use. Because the system is theirs, so is the data. No shared model training, no compromised proprietary information. Just an AI that knows your organization as well as your best employee does, and keeps getting better. Our systems are already live in production, with a current focus on healthcare providers, one of the most regulated and context-dependent industries there is. Our agents handle inbound calls, fax processing, prior authorization, and the administrative work that pulls clinical staff away from patient care. It's a proving ground for the kind of high-stakes, high-context AI we're building toward at scale. Stochastic started with a group of Harvard AI systems researchers who built the first Bayesian and LLM inference accelerators, along with a real-time speech and NLP engine fast enough to hold a live conversation. The team has since grown to include engineers and researchers from Stanford, CMU, UIUC, NVIDIA, and Meta, all building toward the same goal: AI that belongs to your organization, not to anyone else.

We're a innovative autonomous mobility solution company, is dedicated to revolutionizing transportation through the deployment of driverless, electric, multi-passenger vehicles. Specializing in the planning, execution, and management of cutting-edge autonomous shuttles, Mozee serves both public and private communities. Their mission is to safely bridge the gap in first-mile, last-mile mobility networks within controlled speed areas, thereby enhancing the connection between people, places, and services. ‍ Driven by the vision of universal mobility, Mozee is committed to making transportation accessible to everyone. Each live deployment provides a wealth of data and insights, which the company then harnesses to develop vehicle-agnostic, edge solutions. These advancements are propelling not only safety measures and accessibility but also artificial intelligence and driverless operating capabilities of autonomous platforms. Consequently, they are championing the uptake of these new, innovative, and eco-friendly transport solutions. ‍ At the forefront of Mozee's ambition is the establishment of a fully autonomous vehicle fleet, supported by a robust infrastructure. They are guided by the conviction that freedom of movement is essential to progressing in life. This belief fuels their initial focus on the 45% of Americans currently underserved by mass transit systems, driving their efforts to create a more accessible and sustainable future for all.

Arize AI was started by building on an insight from our own experiences as data scientists, engineers and product leaders. We are a team of people extremely passionate about the potential of AI and Machine Learning. We're building the platform to watch, troubleshoot, explain and provide guardrails on AI, as it is deployed into the real world. Check out some articles about Arize! 1. Techcrunch Launch: techcrunch.com/2020/02/18/tubemogul-execs-launch-arize-ai-for-ai-troublehsooting 2. Why We Exist: medium.com/@arizeai/why-we-exist-df95d90dcf7e 3. Why our VCs backed us: medium.com/trinity-ventures/why-we-invested-in-arize-ai-repeat-trinity-entrep…