Top Artificial Intelligence Startups in California, US

Tracevision is a cutting-edge AI video analytics company revolutionizing the way businesses leverage video data. Our innovative solutions provide advanced insights into customer behavior, security, and operational efficiency across industries like retail, security, manufacturing, and more. By seamlessly integrating with existing video infrastructure, we enable businesses to proactively detect threats, optimize performance, and uncover valuable trends. At Tracevision, we are driven by a passion for innovation and a commitment to helping our clients solve complex problems through AI-powered technology. Join our dynamic team and help shape the future of video intelligence.

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

Zoniqx is a real world asset tokenization infrastructure company headquartered in Menlo Park with a development centre in India. We provide the compliant, institutional grade rails that let asset owners, funds, issuers and financial institutions bring traditional and private assets on chain. Our platform combines blockchain and AI to power the full tokenization lifecycle. This spans issuance, smart contract based asset and fund structuring, and secure primary and secondary transfer through investor wallets. The result is greater liquidity, transparency and access for assets that were historically hard to move. We work with issuers, funds and capital allocators across multiple markets, giving them the technology and compliance foundation to tokenize at scale.

Come help us build the future of enterprise video security. We've signed up flagship customers across a variety of verticals. As an early engineer in a rapidly growing market, you have the opportunity to make a huge impact at LiveReach AI. livereach.ai

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.

We’re killing manual review workflows and replacing them with AI agents. Not just faster or cheaper. Fundamentally better. We’re already working with global brands where approvals used to take a week. Now, teams can launch in under an hour, without adding headcount. Our mission is to kill the review. Free people to do meaningful work.

Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 150k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started. We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount. This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.

A new kind of AI computer—running models, agents, and software locally with speed, privacy, and control. Mother integrates training, inference, and agents into a single system. Based in Mountain View, CA

We are a well-funded, early-stage AI lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers, including Andrew Dai, who was previously a leader on Gemini. Our team currently consists of 14 world-class scientists and engineers. We recently raised $55M in seed funding from Striker Ventures, Menlo Ventures, Altimeter Capital, and NVIDIA. We are tackling some of the hardest problems in artificial intelligence, and we are growing fast.

PhrasIQ is building decision infrastructure for enterprise finance. Enterprises have invested heavily in Systems of Record to store data, Systems of Analytics to understand data, and increasingly Systems of Intelligence to generate answers. Yet critical business decisions remain slow because finance teams must reconcile fragmented data, validate assumptions, investigate variances, and defend their reasoning before action can be taken. We call this decision latency. Our core belief is that trust, not AI capability, is the primary bottleneck in enterprise decision-making. Rather than applying AI directly to fragmented enterprise data, PhrasIQ establishes structured truth first through deterministic reconciliation, lineage tracking, governance, and auditability. On this trusted foundation, our decision intelligence platform delivers explainable forecasts, variance analysis, anomaly detection, and decision recommendations. Beyond helping teams make faster decisions, PhrasIQ captures the assumptions, reasoning, decisions, outcomes, and learnings behind every decision, transforming them into persistent organizational decision intelligence. We believe this represents the next foundational enterprise software category: Systems of Decision. We are initially focused on enterprise finance, where trust, accountability, and auditability are mission-critical, with a long-term vision of becoming the decision infrastructure layer for modern enterprises.