Engineering, Product and Design Startups funded by Y Combinator (YC) in the San Francisco Bay Area 2026

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

GitLab is the first single application for the entire DevOps lifecycle. Only GitLab enables Concurrent DevOps, unlocking organizations from the constraints of today’s toolchain. GitLab provides unmatched visibility, radical new levels of efficiency and comprehensive governance to significantly compress the time between planning a change and monitoring its effect. This makes the software lifecycle 200% faster, radically improving the speed of business. GitLab and Concurrent DevOps collapses cycle times by driving higher efficiency across all stages of the software development lifecycle. For the first time, Product, Development, QA, Security, and Operations teams can work concurrently in a single application. There’s no need to integrate and synchronize tools, or waste time waiting for handoffs. Everyone contributes to a single conversation, instead of managing multiple threads across disparate tools. And only GitLab gives teams complete visibility across the lifecycle with a single, trusted source of data to simplify troubleshooting and drive accountability. All activity is governed by consistent controls, making security and compliance first-class citizens instead of an afterthought. Built on Open Source, GitLab leverages the community contributions of thousands of developers and millions of users to continuously deliver new DevOps innovations. More than 100,000 organizations from startups to global enterprise organizations, including Ticketmaster, Jaguar Land Rover, NASDAQ, Dish Network and Comcast trust GitLab to deliver great software at new speeds.

Our mission is to make every search interaction meaningful & rewarding, through developer-friendly and enterprise-grade APIs. Algolia is the leading Search & Discovery API for websites and mobile apps. We help the most innovative companies across e-commerce, media and SaaS industries create powerful, relevant and scalable discovery experiences for their users. Unlike other solutions, our hosted platform reduces the complexities of building and scaling a fast, relevant digital experience and helps teams accelerate development time. More than 9,000 companies like Under Armour, Twitch, Periscope, Medium and Stripe rely on Algolia to manage 50+ billion search queries a month. Founded in 2012, we're backed by $184M in funding from Accel Partners, Alven Capital, Point Nine Capital and Storm Ventures. The team is headquartered in San Francisco with offices in Paris, London, New York, and Atlanta. To learn more, visit www.algolia.com. --- We’re looking for talented, passionate people to build the world’s best search technology. As an ownership-driven company, we seek team members who thrive under autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background

PagerDuty is an operations performance platform delivering visibility and actionable intelligence across the entire incident lifecycle. Their SaaS-based solution empowers over 10,000 small, mid-size and enterprise global customers such as Comcast, eHarmony, Slack and Lululemon with the insight to intelligently respond to critical disruptions for exceptional customer experience. PagerDuty was founded to deliver a new and innovative approach to increase business response and efficiency. When brand reputation depends on customer satisfaction, PagerDuty arms businesses with the insight to proactively manage incidents and events that may impact customers across their IT environment.

At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We help companies around the world orchestrate their entire content lifecycle, monetize every digital experience and experiment across all customer touchpoints – all through Optimizely One, the leading digital experience platform that powers every phase of the marketing lifecycle through a single, AI-accelerated workflow. Optimizely has nearly 1500 employees across our 21 global offices and has 700+ partners. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. At Optimizely, we live each day with a simple philosophy: large enough to serve, small enough to care. Learn more at optimizely.com.

OnePatch is a forward-deployed AI SRE. It instruments your services, watches how they actually behave in prod, catches incidents, and drives each one to resolution. Think Datadog, except it doesn't stop at telling you something broke: it keeps going until the fix is shipped.

Workers IO makes sure everything you ship works. Our platform maps every scenario your software can face in production and verifies each release against all of them in simulation environments, every failure comes back as an exact, replayable run. Engineering teams stop chasing bugs and ship at agent speed, with certainty that used to be impossible.

Palisade spins up a personal sales agent for every single visitor to your website. Marketplaces like trading card platforms, vintage stores, and short-term rental operators sell more when each customer works with a personal agent that remembers them.

We build simulations of your real users, grounded in your session data, so you can predict how any product change will perform before you ship it.

Agent FM is a desktop app that gives engineers one group chat to hear and steer their coding agents. Instead of manually bouncing between different claude code and codex sessions, and combing through walls of text to monitor agents, engineers just tune in to Agent FM. Agents share important progress updates, blockers, assumptions, and decisions in the group chat. Engineers get live text and audio updates and respond right from the chat.

The next billion software users are AI agents, yet agents still can't act on their own: every paid tool they need runs through a human making accounts, managing API keys, and guessing which provider is best. We are the capability marketplace built for agents: one MCP and one balance through which agents find, pay for, and use APIs, data, skills, other agents, and software at runtime, with every request routed to the best provider based on benchmarks from real tasks and outcome feedback from the agents themselves.

Vendo is the customization layer that lets your users build their own features and micro-apps directly on top of your product. Rather than waiting on an ever-growing feature backlog, your users can personalize the product to exactly how they work, create their own automations, and integrate hundreds of external tools, all without your team writing a line of code. Everything runs on your existing API, renders natively in your own theme and components, and executes inside secure sandboxes within your existing security guardrails, so your source code is never touched. Companies can plug Vendo into an agent they already have, or deploy a production-ready agent complete with the ability to take actions in the product, generate UI, and draw on a built-in knowledge base. Vendo is open source and installs with a single command, and we work closely with teams to get it running for their product.

Alkera is a data engineering/analysis/science agent that works in your IDE or CLI. If you’re tired of agents that produce false, or even dangerous, reports about your data, then Alkera is for you. Our agent is equipped with your data’s history and lineage, your team’s knowledge, and tailored plugins for data apps such as Snowflake and dbt. Simply install and connect your services to begin doing trusted agentic data work. We also offer VPC & on-prem deployment options for when data can't leave your boundary.

With tools like Cursor and Claude Code, writing software is no longer the bottleneck. Debugging is. Agents cannot fix production crashes using logs and traces that were sized for human eyeballs. The gap is missing data. HyperProbe allows agents to debug live software autonomously. Our SDK drops non-breaking probes straight into running services to read exact variable states from memory at the moment of failure, instead of reasoning backwards from flat logs. Zero redeploys. Under 1% CPU overhead. Automatic PII redaction. We turn 4-hour production war rooms into 10-minute automated resolutions. As agents write and operate more of the world's software, HyperProbe is the runtime observability layer that lets them understand what they built.

We build Maxxwell, a desktop app for people who run several coding agents at once. Past two or three sessions, you become the bottleneck. Every session asks you something, most of it small, and you spend the day answering instead of deciding. It is also hard to tell which sessions are making progress, which are stuck on something trivial, and which have quietly started building the wrong thing. Maxxwell puts every session in one window and marks each one working, idle, or waiting on you. On top of that sits an orchestrator, a real coding-agent session of its own that reads the others and reports back. You talk to it instead of to twelve terminals. It tells you what landed, what it decided for you, and what actually needs your call. Every worker is your own tool, unmodified. Claude Code, Codex and Cursor Agent run in real terminal sessions you can attach to and take over at any point

Prized is a cloud development environment that feels local on your Mac. Developers get a dedicated, persistent machine with their repos, dependencies, and tools already configured. Files sync into a real local folder, remote ports appear on localhost, and terminals persist through tmux, so developers and coding agents can keep working even after the laptop closes. Machines can be resized or cloned as workloads grow, without rebuilding the development environment.

CoArena is a live arena where anyone can use the world's top computer-use models racing two of them on the same real computer task and judging which one did it better. Every battle becomes something the AI labs can't build themselves, an honest test of their agents on real work, and the data to make them better.

Linzumi is the chat your engineering team uses to direct dozens of AI coding agents. Kick off work, review it, ship it. All from chat. See every agent's work. Unblock the agents that need you from your laptop, your phone, the coffee line. Your teammates see it too. Every decision your team makes compiles into a source of truth - what to build, why it changed, how your agents should act. That same source generates new work and verifies completed work. Deliberative alignment, repurposed from aligning LLMs to aligning companies.

Zenbu is an extensible IDE for orchestrating coding agents. Shape it around exactly how you and your team work.

OpenProse is building open-source infrastructure for long-running AI work: a declarative language plus a reactive harness/runtime for reliable agent workflows.

Alchemize is an AI code review platform that helps teams understand and test code. Agentic coding has 10x’d code output, creating larger PRs more frequently, but existing review workflows haven’t kept up. Alchemize breaks large changes into smaller, dependency-ordered PRs and guided reviews. It surfaces the prompts, intent, and assumptions behind agent-written code, then uses browser agents to test affected workflows. Reviewers can quickly understand how a change works, identify where human judgment is needed, and ship faster with more confidence.

Coding agents like Claude Code, Codex and Cursor now decide which tools get installed in a codebase. Armature runs the real agents inside a panel of realistic repositories, measures whether they pick you, and works with your team on the docs, SDK and content changes that make them choose you. Every change is tested on real agent runs before it ships. Once agents use your product, Armature shows you what users do with it through AI, with self-serve MCP analytics and evals that catch regressions before your users see them.

Lightsprint is a collaborative software factory for product teams to plan visually, preview live and ship with an army of cloud agents. Your whole team, including non-engineers, can now ship end to end reliably. The company is founded by Ben Ong, an AI investor who previously scaled AI products at SEA Group (NYSE: SE) and Temasek ($300B fund), Benedict Chan who was VP Engineering at Chainlink and CTO at BitGo (NYSE:BTGO), and Heng Hong Lee who built Facebook Messenger in 2013 and was Director of Engineering at Fazz (YC S17).

InsForge is the agent-native AWS: cloud infrastructure that AI coding agents can understand, operate, and recover from end to end.

Sentry and Datadog dump a stream of alerts. Most are duplicates, most lack context, and you still have to solve the issue yourself. Superlog is AI-native observability that's meant not to be opened. A wizard scans your repo and installs proper OpenTelemetry instrumentation, then runs daily to keep up as you ship new code. When something breaks, Superlog groups the errors into a single incident, investigates with full context (logs, traces, recent deploys, past Slack threads), and posts one mergeable PR in Slack. You merge it, ignore it, or open it as a Claude Code session and modify it. Telemetry is vendor-neutral, so you keep every log, trace, and metric we install, even if you leave.

Gigacatalyst allows your customers to build analytics, dashboards, reports, forms, from inside your product. We’ve helped our customers expand $1M in sales in 6 weeks. We do this with an embedded AI customization layer that learns your APIs. Each customer can now build on top of your product to match their workflows perfectly, and share it across their team in one click. The result is that customers use your SaaS more, retain for longer, and expand quicker, because they get bespoke dashboards for their exact usecase, without waiting. We're live with the top Series B companies with 90% repeat usage rate.

AI Agents to build, debug and automate analog circuit design

Stage is a new code review platform designed to help engineers better understand and review AI generated code. Engineering teams are shipping faster than ever with agents, but now they’re drowning in an endless backlog of PRs to review. Stage reorganizes the code review process around how engineers naturally think, enabling you to review (and merge!) PRs 5x faster. Used by top engineers at Legora, n8n, Branch, and more.

Runtime (runtm.com) gives engineering teams control and visibility to enable anyone in their org to use coding agents securely. Eng leaders rolling out coding agents have no way to see what's happening, set boundaries, or safely let non-engineers use them. We provide sandboxed environments, session-level observability, and configurable guardrails so anyone on your team can ship with coding agents without breaking prod. We're live with fast-growing YC scaleups empowering their Engineers, PMs, designers, marketers, and ops to contribute to their codebase or build prod-grade zero-to-one apps.

Oddpool is a platform that helps quant funds and trading desks harness the power of prediction markets. Avi and Ritesh have been roommates since freshman year at Georgia Tech. Avi has a Master's in ML and saved Microsoft $6M/year by building a more accurate model on half the hardware. Ritesh has a Master's in Distributed Systems and made buy-side trading systems at Bloomberg 40% faster.

TesterArmy is an AI agent that tests websites and mobile apps. It monitors production on a schedule and runs automatically on every GitHub Pull Request, delivering screenshots, recordings, and actionable bug reports. Describe tests in plain English. The agent handles login flows, OAuth, and OTPs, no scripts to write or maintain. We catch the regressions and UX issues that code review misses.

Replicas is a background coding agent that allows you to delegate tasks to Claude Code or Codex from Slack, Linear, GitHub, and more. Each task works inside of a sandboxed virtual machine, allowing teams to heavily parallelize work and burn through tickets. Replicas agents output higher quality PRs via feedback loops - each task automatically is notified and fixes CI failures and reads all code reviews. With Environments, engineering teams can configure agents to run their entire codebase locally, verify its work, and provide preview URLs.

Lamina Labs is building infrastructure for near-real-time structured video generation. Most AI video is built for cinematic clips. Lamina is built for useful videos that break down ideas, workflows, and AI answers. Our first product, Simi, turns prompts and documents into whiteboard-style explainer videos in seconds

We build environments and evals for frontier research agents. In these environments, models carry out research engineering work such as optimizing an algorithm, deploying a model, or running experiments to solve a novel problem. A grader scores the agent’s performance, and these scores serve as signals during evaluations.

Superset is an open-source IDE that helps engineers run 100s of coding agents in parallel. Our desktop app is loved by tens of thousands of engineers, and we're scaling out our effort to build a collaborative, cross-platform tool to allow users to code anywhere.

AI coding tools have made developers 100x faster but customer-facing incidents are up 43% YoY, QA hasn't kept up. Canary is the first AI QA engineer that understands your codebase. Instead of relying on flaky DOM scraping or screenshot analysis, Canary reads your source code directly to understand developer intent and catch broken user flows before they hit production. Engineering teams go from weeks of manual testing to 90%+ coverage in days. Built by a team that built coding agents at Windsurf, Cognition and Google.

Reframe is the only AI-native marketplace for hardware teams to procure both COTS and custom manufactured components. We have access to trusted suppliers that have made parts for the most reliable hardware products that people use today (iPhones, Teslas, and more). We use Agents to automate end-to-end procurement so that hardware teams can scale while remaining lean.

Zatanna creates APIs for software that doesn't have any, by reverse engineering back ends of web-based cloud and on-prem software.

Synthetic Sciences is a research lab building infrastructure for scientific superintelligence. Empirical science is bottlenecked by verification that is slow, expensive, and imperfect. We work on tooling, evals, training environments, algorithms, and models that make autonomous science possible.

Sentrial is the monitoring platform for AI products in production. When your AI product/agent loops indefinitely, hallucinates, or frustrates users, Sentrial detects it in real-time, diagnoses the root cause, and recommends specific fixes. We provide the monitoring, evaluation, and debugging infrastructure that traditional tools weren't built for, so teams iterate based on production reality, not just offline evals.

REV1 is Claude code for mechanical engineers, starting with automating the process of turning 3D designs into 2D manufacturing drawings – which is more than 25% of all of what a mechanical engineer does - our software does it in minutes. Compressing hours of work into minutes while delivering consistent, higher quality results.

There are 2 problems: The first, CAD software is slow and the second, designing with it is a tedious process with many steps. Aurorin solves both of these problems by being a CAD software built from the ground up on a modern tech stack with AI at its heart. Building the CAD kernel lets us fully leverage AI while modernizing execution speed. Almost all existing CAD software (Solidworks, NX, Creo, Catia, Fusion 360, Onshape etc) use the same couple of underlying CAD kernels built in the 80's. It's common for these programs to take 4 hours to open a file. Aurorin uses a custom parametric and B-Rep driven CAD Kernel built to take full advantage of modern CPUs and GPUs and be AI native.

Martini is a collaborative, AI-native platform for professional filmmaking in the era of generative media. By integrating the best generative models into professional workflows, we enable world-class creatives to harness generative AI as a legitimate medium for film.

Corelayer is the AI-native platform for production software support, built for regulated industries like finance and healthcare. It continuously monitors alerts, logs, infrastructure, and underlying data for issues and uses agents to debug and suggest fixes. We're helping SRE, production services, and on-call engineers at companies ranging from growth-stage fintechs to Fortune 500 financial institutions spend less time on support and more on high-leverage work.

Visibl Semiconductors makes custom silicon accessible to hardware companies, starting with power electronics. We are an AI-native custom-silicon design partner that cuts ASIC development cost and timeline on mature nodes, helping teams deliver better performance and lower BOM cost. We work with data-center and AI-infrastructure power, motor drives, industrial automation and robotics, industrial power supplies and conversion, battery systems and e-mobility powertrains, EV charging, solar, energy storage, grid power, HVAC, heat pumps, and appliances. V1 boards built from off-the-shelf parts are great for getting to market quickly, but scaling to v2+ volume requires optimizing cost, size, and manufacturability. Visibl folds those parts into custom silicon built around the product: a simpler BOM, reclaimed board space, fewer supply constraints, and automation-ready assembly. We manage the full path from architecture and design through verification, fabrication, packaging, and production-ready silicon, working alongside hardware teams so they do not need an in-house chip team.

21st.dev is the largest React component registry for AI applications, used by 2M developers We provide the building blocks to create agent-powered apps: UI components, agent templates.

Skillsync is a local-first desktop app that frees your context from any single coding agent. Move a full session, including the conversation, reasoning, and tool history, between Claude Code, Codex, Cursor, and any other agent with nothing lost. Keep your skills and memory in one searchable place, accessible from any agent via MCP. And when your team perfects a skill, it syncs to everyone automatically, so you stop digging through Slack threads and zip files to find the version that actually works. The engine that translates sessions across agent formats, txcript, is open source and written in Rust. Say it once, and every agent and teammate has it.

Insurers struggle to price autonomous systems because the historical data simply doesn't exist. Your car insurance draws from over 30 billion claims records, but autonomous trucks and robots have nearly zero. Valgo is the risk quantification platform that closes that gap. We are building probabilistic models of routes, tasks, and environments from the bottom up. We output a simulated loss estimate that insurers need to price coverage. Valgo is the foundational layer that gives insurance providers confidence to properly price autonomy risk. Our team combines expertise in risk estimation for autonomy with deep experience in the insurance industry. Sydney and Robert are Stanford PhDs with leading expertise in safety of physical AI systems. Sydney wrote the textbook on validating safety-critical systems and teaches the course at Stanford. Robert spent 7 years at MIT Lincoln Laboratory on the core team that designed and validated an FAA-certified aircraft collision avoidance system, now a worldwide standard. Jon is a Sloan Fellow from the Stanford GSB and an actuary who spent over 12 years in insurance leadership and led over $5 billion in M&A as head of corporate development for one of the largest insurers in Asia-Pacific.