Top Tech Startups in Silicon Valley in 2027

HEAL (Healmenow Inc.) is building the first screenless, voice-first companion for medication adherence and mental wellness. Instead of another app competing for screen time, HEAL lives as a physical device in your space — you talk to it, it responds, it helps you stay on track with your care. We sit at the intersection of hardware, AI, and emotional design, because behavior change doesn't come from reminders and gamification — it comes from feeling understood. What We're Building A screenless medication adherence device paired with an AI voice companion. Say "Hey HEAL" and it dispenses your medication, logs adherence, and has a real conversation with you about how you're doing — building the kind of clinical documentation that qualifies for Medicare Remote Therapeutic Monitoring (RTM) reimbursement. V1 is built and working; we're now developing V2 using real user data, targeting a significant jump in treatment effectiveness. Our voice companion also carries a crisis-escalation layer, built with clinical oversight from a psychiatry advisor with 15+ years of experience. Hard Problems We're Solving Medication non-adherence, especially for mental health conditions, is a massive and under-addressed problem — people don't stop taking their medication because they forget, they stop because no one is checking in on how they actually feel. Existing solutions (pillboxes, reminder apps) treat this as a logistics problem, not an emotional one. We're solving three hard problems at once: designing a voice AI that can hold a caring, clinically-sound conversation without a screen; building the crisis-detection logic responsible enough to flag real risk without false alarms (the single highest-risk, highest-scrutiny part of the FDA classification question); and proving this new adherence data can actually satisfy Medicare RTM reimbursement requirements, which is what will make this sustainable at scale rather than another wellness gadget.

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Mercata is a secure AI sidekick for fundamental investors. We turn unstructured internal and external data into a real-time, queryable research environment so analysts and portfolio managers can move faster, ask better questions, and make more confident decisions. With Mercata, research teams ask layered, high-context questions that traverse companies, people, and time, and get traceable, source-linked answers. The system scans filings, press releases, and news in real time and surfaces what is new and factual, highlighting potential impacts on existing investment theses. It frees analysts from data mining so they can produce unique insights and apply their judgment. Teams can integrate proprietary research into Mercata’s dynamic intelligence layer, creating a unified system of record for faster recall, deeper analysis, and clear decision trails.

Lenders spend over $24B every year hiring agents to perform manual, repetitive servicing work. Existing AI solutions try to automate this, but they treat regulatory guardrails as an afterthought. Kato takes a different approach. Regulations aren’t an afterthought - they’re the foundation. We start with a regulatory rules system and layer an AI decision engine on top of it. With this architecture, we’re building an AI-powered servicing platform that automates critical workflows across every channel with full compliance and best-in-class recoveries. We are starting today with a compliance first Voice AI agent that handles outbound and inbound loan servicing calls, and are already in production with major names in the fintech lending space like Bilt Rewards, Bluevine and Parafin. Here's what makes us different from most venture-backed startups: we're profitable with strong unit economics, so we own our destiny. We're not forced to raise capital to survive; we'll raise strategically, on our terms, to accelerate the business when it makes sense. That changes how we work: - We make long-term decisions. We optimize for durable, long-term value, not short-term vanity metrics. - We run like a real business. We focus on what matters and have no patience for false busyness. - You share in what we build. Through profit sharing, when the company does well, you do well. We're looking for people who want to build deliberately, operate with discipline, and share in what we create. Kato is founded by a team with deep operating expertise in financial services and software engineering: - Pratik Risbud (CEO/Co-Founder): Former Investment Banker at Goldman Sachs and led Credit/Operations at Brex - David Zhu (CTO/Co-Founder): Former Software Engineer at Google and Engineering Manager at Brex Kato is backed by institutional capital from Pear VC and angel investors from top tech companies such as Brex, Bridge, and Square.

Compute is a commodity. We think people should buy it like one. Startups shouldn’t be forced to buy a year’s worth of compute time in order to get market rate and compute providers shouldn’t go bankrupt because they can’t fully book their clusters. At SF Compute , our goal is to solve this issue the same way this was solved for every other commodity — by building a venue where compute contracts are traded in real-time and by bringing a new kind of participant into the supply chain, traders. If we succeed, buyers will be able to get a good price for any order, whether it’s 32 H100s for a month or 8,000 H100s for an hour, and sellers will instantly book out their clusters because traders will speculatively buy them, for a spread. Every FLOP will flow through us somewhere in the supply chain. What Brent is for oil, we will be for compute.

Altimate AI builds DataPilot platform to automate work of data teams using AI agents. DataPilot can generate data pipelines, write data documentation / tests, and optimize data infrastructure autonomously. 100s of companies that use DataPilot have seen 2x accelerated data development and 30% reduction in data infra. costs.

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision. Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation.