AI (Artificial Intelligence) Startups funded by Y Combinator (YC) 2025

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.

Podium is the all-in-one AI-powered lead management and communication platform used by more than 100,000 businesses to acquire and convert new customers. At the forefront of Podium’s innovation is its AI employee, who ensures businesses respond to leads instantly, anytime of the day or night—significantly increasing lead conversion rates and revenue. Podium helps businesses obtain more reviews, rank higher on Google, and consolidate lead channels. Businesses can call and text customers from the web and/or mobile app, send payment links, drive repeat business through bulk messages, and more—all managed and delivered from one easy-to-use dashboard. Additionally, with Podium’s AI Employee and automations, businesses can efficiently handle customer inquiries seamlessly across all communication channels, providing timely and accurate responses that drive sales. Podium’s innovative work has gained recognition on top industry lists, such as Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies. Podium was founded in 2014 and is headquartered in Lehi, Utah. It is currently backed by Accel, Summit Partners, GV (formerly Google Ventures), and Y Combinator.

Checkr builds people infrastructure for the future of work. And we believe everyone should have a fair chance to work. That's why we've designed a faster—and fairer—way to screen job seekers. For more information on our mission and products, visit https://checkr.com.

Pocket is a tiny AI device that lives on your phone and turns everything you say and hear into clear notes, action items, and search. We combine custom hardware, AI, and software to build the best note-taking experience for people who talk and move fast

Bubble Lab is an open-source Typescript-native workflow automation platform. Unlike tools that use proprietary JSON, you describe a workflow in natural language, and instantly get both a visual flow and fully-typed TypeScript code side-by-side. It offers built-in observability, testability, and scalability out of the box.

Didit is an AI-native, developer-first identity verification platform that makes KYC, AML, and fraud prevention instant, flexible, and transparent, with a seamless user experience and more than 70% lower costs.

Fifth Door unlocks the power of imagination by making it easy for everyone to create, share, and play games anywhere, with anyone. We exist to stimulate the creativity, connection, and joy that people get when they play games.

AVoice brings full visibility to the physical side of sales. Most sales intelligence tools only track digital interactions — emails, calls, CRM entries — but the majority of global revenue is still driven by in-person visits. Reps take photos, record voice notes, send quick messages, and make on-site observations, but this information is scattered, unstructured, and rarely reaches the CRM. AVoice automatically captures, analyzes, and structures everything that happens during a field visit. Photos, voice notes, text updates, and observations are instantly transformed into searchable insights for reps, managers, and leadership. AVoice highlights risks, opportunities, buying signals, product issues, market trends, and territory health in real time. By turning the offline economy into usable data, AVoice gives companies the visibility they’ve always had for digital sales — now applied to the real world where deals are actually won.

Robotics is going to be one of the largest industries the world has ever seen, but right now teams have to build so much in house just to get something to move. Hlabs is making a plug-and-play ecosystem of robotic parts with simple opensource software libraries to reduce the complexity in building a robot. Hlabs is founded by Paul, a second time YC founder who also participated in the W21 batch with Mystic. He ran Mystic as CEO for 6 years. From the first launch in October 2025 over 40 robotics companies have placed orders for the actuator control product. Hlabs is targeting Q1 '26 for the release of several additional plug-and-play products including an Nvidia Jetson powered main board, a low cost expandable camera system, and wireless communication/video module to make every robot wireless out of the box.

We’re building the financial OS for a trillion dollar vertical. Banking + intelligence + automation -- custom-built for real estate owners & operators.

AtlasGrid automatically builds a visual graph of your mobile app UI and displays analytics directly on your screens. Additionally, our fleet of AI-powered agents will continuously analyze thousands of mobile apps, gathering design insights and identifying growth opportunities + actionable product improvements.

Enterprises are racing to adopt AI, but often don't have the right controls in place or know how to verify vendors are compliant. LogosGuard turns AI policies into executable controls, stress-tests your AI products, and continuously monitors changes, giving enterprises the confidence to scale AI responsibly.

F2 is the AI platform for private markets investors. Purpose-built for private credit, private equity, and commercial banking, F2 accelerates diligence, underwriting, and portfolio monitoring, helping teams evaluate deals over 60% faster. F2 turns unstructured deal data into investment-grade analysis and polished memos in minutes. Unlike general-purpose AI, F2 is built with the domain expertise and depth to handle the most complex financial analysis. Already trusted across thousands of deals, F2 makes collaboration easy and retains historical context, so past work compounds into future wins. Headquartered in New York City, F2 is backed by leading investors including NFX, Left Lane Capital, and Y Combinator.

We’re building AI agents that speed up drug trials by automating the manual consolidation and document prep required for every IND submission. Today, biotechs spend months stitching together reports from contractors and internal teams just to file and get to their first-in-human trial.

Exonic is building a global network of intelligence to cure disease. We are the first drug discovery company open to everyone. Today drug discovery is siloed - secretive, adversarial institutions in glass towers. Biological AI is changing the rules. Every day drug discovery becomes more of a computational problem. Exonic is turning drug discovery into an open, meritocratic tournament. We are advised by world leaders in bio AI, including the former Head of AI at Ginkgo Bioworks, and the first author of Evo (cover of Science). All of the best biological AI models are open source. And on Exonic, you can combine them, prompt them, and share your innovative workflows without writing a single line of code. Using Exonic Studio, we just beat a state-of-the-art benchmark in liver cancer (HepG2) synthetic enhancer design, validated in our wet lab. The platform just went live - you can start right now. We are turning the internet into a drug discovery powerhouse.

Thesis is building the engine for discovery. Our aim is to help uncover the next AlphaFold or build the next Transformer, faster, more systematically, and at scale. We treat discovery not as a matter of luck, but as an engineering challenge to be solved. Thesis lets anyone build powerful machine learning models for anything they can imagine. The mission is to democratize invention by putting machine intelligence in everyone’s hands. Every major breakthrough in the next decade, in science, industry, or AI, will be built on systems like Thesis. We intend to define that category.

Castari lets developers deploy AI agents in secure, autoscaling sandboxes with one command. We handle tool/MCP connectors, snapshots, and observability so teams go from prototype to production in hours instead of weeks. Developers focus on building agents, Castari provides the autoscaling sandbox infrastructure to ensure your agents and its tools are secure.

Zarna is private equity’s first AI associate class. Our agents plug directly into your firm’s data and work like a deal team that never sleeps. Zarna’s agents analyze CIMs, build LBOs, update CRMs, draft IC memos, & act based on decades of proprietary firm knowledge. The result: investors spend less time buried in decks and spreadsheets, and more time on judgment, relationships, and winning deals.

Nessie is building personal AI brains that augment human cognition. Nessie turns your scattered AI conversations and documents into a shareable AI brain you actually own. It's a thinking partner that lets you instantly search your entire history of ideas, synthesize them into new insights, and watch your knowledge build on itself over time. Right now, your best thinking is trapped in ephemeral AI chat histories. Nessie unifies your context from ChatGPT, Claude, and (soon) Apple Notes/Google Docs/Notion/other context sources, auto-organizing the mess into an AI-enhanced brain. Next, we are unlocking sharing. Instead of sending a static doc, you will be able to send your "Product Strategy Brain" to a cofounder, or publish your "Research Brain" for your entire team to chat with. Who it's for: AI-native thinkers—founders, researchers, and writers—who believe their best ideas should compound. The Team: We are two Yale CS grads and former Amazon engineers building the tool we needed for ourselves. We combine Anna's obsession with neuroscience and augmenting human cognition with Tiger's lifelong passion for building products (he shipped an app with 70k+ users at age 13). Traction: Launched 3 weeks ago. We have over 1,200 users who have imported 300,000+ AI conversations into Nessie. 30% week-over-week organic user growth. Origin Story: Nessie was born after we hit the 1-million-token limit in multiple Gemini chats. Overnight, months of research disappeared. We realized the problem wasn't just about storage; it was that the medium for AI-native thought didn't exist yet. The chat window is a place to ask questions, not a place to build a mind. Our Vision: We are building a new medium for personal intelligence. Everyone will have an AI brain on Nessie. You will use it to think better, remember more, and share your mind with the world.

DiligenceSquared delivers AI-powered market due diligence for investment decisions - like the $500k McKinsey reports, but automated, auditable, and at a fraction of the cost. When Private Equity funds evaluate deals, they pay firms like McKinsey, BCG, and Bain $500K-$1M for market due diligence. The process takes weeks, and the output is a static PowerPoint that's impossible to audit. A single large-cap PE fund can spend >$30M annually on this and the total market is $10B per year. Our AI agents conduct expert interviews and synthesize insights with every claim linked to source transcripts. No black box, no "trust me" slides, and no 10x mark-up for human labor. Frederik bought these reports as a Principal at Blackstone. Soren sold them as a Principal at BCG. Harshil is a repeat founder and former Software Engineer at Google. We've seen both sides and know what matters in due diligence - and now we automate it. Our clients already include 8 leading private equity funds with over $2.4 trillion in combined AUM.

Jarmin.ai is your 24/7 ML eng employee that you hire. Just talk to Jarmin like any other employee and Jarmin handles your AI/ML work from there. Completely hand over full initiatives or individual tasks. Jarmin’s founding team is from Meta SuperIntelligence Labs (Staff Engineers), Apple (Machine Learning Engineer), AWS (scaling infra), Lockheed-Martin (Research), and JPMorganChase (SWE) with experience building AI/ML and automating complex work of Researchers, Data Scientists, ML Engineers with AI.

Sanctum lets you launch new features to agents that mimic your real users. We build AI user models from your session recordings and run them against your changes to surface bugs, UX issues, and performance problems early.

Hireglide is an AI screening tool for hiring teams. Instead of wading through 500 CVs, we screen them and surface the best candidates. In future, with access to millions of CVs, we will match candidates with relevant roles.

Efference builds the eyes and visual cortex for robots. Instead of treating depth as a hardware problem, we use software — inspired by how humans see — to generate rich and reliable 3D information. This lets us deliver higher performance and greater ease of use at a lower price than existing stereo cameras.

Inspector helps front-end engineers ship faster with AI by automating the most frustrating part of the job — gathering context between the browser and the codebase. Inspector is an AI IDE for front-end that connects your browser and codebase. Inspector lets you select elements visually and prompt changes, giving coding agents access to the same runtime context developers have: visuals, elements, and logs. With Inspector, you’re editing right in the front-end, not buried under tabs and screenshots.

Social networks are dead. Social media became more media than social. My friends aren't on social media anymore - it's one third ads, one third content from strangers, and one third AI slop. Our social lives are fragmented across dozens of different apps - iMessage, WhatsApp, Find My, Partiful, and Venmo. Digipals is the first AI-native social operating system that improves our relationships with friends. We built ambient AI agents that use social context from our location, calendar, and photos to take action and write code in our group chats. We are the last social platform anyone will ever need. Launch Video https://youtu.be/KW2tjLl6sxM

Scott AI is the agentic workspace where teams align on spec before any codegen runs. Teams already use multiple coding agents to build. Different coding agents will continue to evolve and have diverse strengths. An engineer will entrust a long-running agent to add dark-mode end-to-end while they pair carefully with an IDE-based agent to land a critical DB migration. These execution agents cannot be the decision layer because they are biased to their own tool, they are not neutral. Scott AI is the neutral, agent agnostic decision layer for the age of multi agent building. Teams will use Scott as their decision workspace to finally ditch google docs and notion as their primary spec alignment layer.

Sava is building the agentic trust company for an industry that manages $6.5 trillion in U.S. assets today. A trust charter is the state license that lets us act as a legal trustee: open and administer trusts, hold assets, and make distributions under the law. We treat that charter like infrastructure. Think Stripe for fiduciary work: one integration and dashboard to open a trust, fund it, track it in real time, make distributions, and stay compliant. Our AI agents handle the grunt work: collect data, chase signatures, assemble documents, reconcile positions so that people can focus on making high-quality decisions. Every step is captured in a timestamped audit trail. Agents also enable continuous compliance: risk checks run as data changes. Reviews are prompted automatically. Nothing falls through the cracks. Team Nimit Maru, CEO – 2X YC Founder. Built and sold Fullstack (S12) for $55M on $1M raised. Experienced the trust industry's dysfunction firsthand post-exit and came back to YC to fix it. Rush Sadiwala, COO – Experienced founder, previously backed by Kevin Rose at True Ventures. Spent the first 5 years of his career on the buy side in Investment Management. We're in YC F25 and working with experienced trust professionals, including a Chief Trust Officer from a top-tier trust company, to bring modern infrastructure to the trust industry.

Sylvian creates expert data for LLMs through competitions. LLMs continue to need lots of expert data. Unfortunately, existing data vendors like Scale or Mercor are not motivating the best experts through part-time pay. Competitions are more intrinsic motivators, and naturally incentivize high quality data. Sylvian creates expert data for LLMs through competitions, starting with tool use data (e.g. Excel, VSCode). We already have 4,500+ experts, from IMO Golds to MIT/Stanford PhDs to full time QRs at Point72, producing data at 1B tokens/week!

We've built an AI property manager that automates maintenance for real estate agents. Brickwise handles tenant calls and messages 24/7, following up by chasing contractors and resolving payments. This provides higher tenant satisfaction, while also simplifying the workloads of property managers. Our property manager operates across all communication channels, including SMS, WhatsApp, phone calls, and email, making it easy to integrate with existing workflows.

Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. Founded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders who published the breakthrough at leading machine learning AI conferences and Nature.

Norra helps nursing facilities manage equipment operations. Every year, ~$80 billion are spent on medical equipment like beds, concentrators, and wheelchairs. Nursing facilities continue to operate with zero visibility which leads to $15 billion in equipment waste annually. We use physical trackers and AI agents to eliminate this.

Lemma enables AI agents to continuously improve from user feedback and production outcomes. Instead of relying on manual prompt tuning and reactive debugging, Lemma detects when an agent’s performance drifts, pinpoints the exact step causing failures, generates optimized prompt candidates, and automatically delivers improvements through our API or by opening a pull request in your codebase. Built by ex-AI engineers who felt this pain firsthand, Lemma turns static agents into self-improving systems, helping teams ship reliable AI products faster with compounding performance gains over time. Deploy 1x. Learn forever.

Rovr streamlines engineering operations by automating intake, triage, routing, and cross-team coordination. It replaces internal forms, manual Slack triage, and scattered docs with an AI front desk that understands requests, assigns owners, updates context, and posts status changes directly into Slack. Rovr’s built-in ops CRM gives teams a single system of record for eng requests — from tooling access to platform incidents to dev-infra workflows — reducing operational drag across the entire org.

Logical is a desktop AI that acts as a proactive and largely promptless copilot, designed to reduce the friction of using AI for everyday tasks. It transfers context across apps, and allows taking action on many apps with just a few clicks. Logical can assist with drafting emails, writing docs, noting meetings and can even automatically detect action items. Need to prompt? Logical can understand intent in much fewer words than a regular chatbot. Plus, user data is never sent to Logical servers. Logical is the AI resurrection of Clippy, but actually good.

With our visual understanding engine & platform, Aspect primarily serves both enterprise content teams and data teams at AI labs. For enterprise: Aspect deeply understands a team's visual (video, 3D, multimodal docs) libraries and day-to-day workflows, performing clip search, rough drafting, and automated review. For research: Aspect processes dense multimodal datasets, providing tools for segmentation, QC, structured schema extraction. Companies today have access to Glean and Notion Agents for working with vast text corpuses - Aspect is enabling that for multimodal data.

Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural. If you’ve ever built a conversational or voice AI product, you’ve felt the lag. That moment when an agent pauses and the illusion of intelligence breaks. The bottleneck is almost always retrieval. Each query hops across networks and databases, adding delay and cost. Moss eliminates that gap by keeping retrieval close to where the agent runs. Moss runs natively across browsers, mobile devices, and servers with an optimized vector index built in Rust and WebAssembly. It enables teams to build AI products that feel instant, contextual, and adaptive. The experiences that sustain engagement and unlock new kinds of interaction. For our customers, this translates into tangible business value: stronger user retention, higher conversion, and entirely new product categories made possible by real-time understanding. Moss is already powering production pilots across voice AI and developer platforms, achieving sub-10 ms retrieval and 70–90% token savings compared to traditional pipelines.

PlayVision is the AI Moneyball for Sports: the future for scouting, recruiting, and playing the game. Basketball teams upload their practices or games, and PlayVision uses AI and computer vision to automatically tag and analyze the film, giving coaches and scouts 10 times the information on their players and their opponents. PlayVision also uses algorithms to rank every single college and professional basketball player in the country with over 40 different metrics from tracking and play-by-play data. Check out our website at withplayvision.ai, and follow our instagram @playvisionai!

An AI companion that chats and plays with children inside games like Minecraft, helping them learn a new language while they play. Kids already spend hours each week in their favorite games, and now parents can turn that game time into learning time.

Mantle connects to all your tools: your CRM, Mail, Calendar, Payments, Product Analytics, and more. With just one prompt, you can create agents that handle back office work for you. These agents can automate reports and email them to you, drafts emails right in your email client, generates pre-meeting research directly in your calendar event, and much more. They run quietly in the background, react to changes in real time, follow a schedule or work when you chat with them. You didn’t start up to stay stuck in admin. Turn your company AI-native with Mantle.

We make your agents pay. As agents evolve from tools into dependable, autonomous actors, they’ll need the ability to execute open-ended workflows end-to-end. This inevitably means payments: accessing paywalled data, transacting for services or with other specialist agents. But autonomy requires guardrails. Businesses and developers will need a way to ensure their agents only spend how much and on what they’re supposed to. The machine economy is coming, and Locus (YC F25) is building the connector businesses will need to participate. We connect agents securely to funds, letting you define permissions and limits for every transaction. Each payment is traceable, auditable, and fully reconcilable with your existing financial stack.

Arcten enables companies to embed AI copilots directly into their applications so users can accomplish complex workflows through natural language. You can add AI copilots to your product in minutes, connect them to your company’s information, and track how they’re performing -- all in one place.

Velvet is the all-in-one tool for making AI videos. Our team has worked on video generation at Meta FAIR and infra at Adobe, and we’re building the single tool that companies need to produce AI video assets.

Private markets are still opaque, manual, and locked inside Excel. Every year, trillions of dollars in venture, real-estate, and private-equity capital are deployed through diligence processes that haven’t changed in decades. Analysts spend hours parsing PDFs and spreadsheets just to understand what a company or property is worth. Alt-X is building the data and AI infrastructure layer for alternative assets — a system that ingests unstructured deal materials, normalizes the data, and generates institutional-grade analysis in seconds. Whether it’s a private-company dataroom or a real-estate offering memorandum, Alt-X extracts key KPIs like ARR, growth, NOI, IRR, and cap rate, then produces investor-ready dashboards and reports automatically. Our platform reduces deal evaluation timelines by up to 73%, saves 30–50 analyst hours per deal, and enables teams to screen 4× more opportunities with the same headcount. By automating KPI extraction, benchmarking, and underwriting, Alt-X transforms diligence from a manual bottleneck into a scalable process. This hasn’t been done at scale because private-market data is fragmented across formats and asset classes. Alt-X’s parsing engine unifies this chaos into a structured schema — the backbone for cross-asset underwriting, KPI dashboards, and automated risk scoring. Our first wedge is real estate and private equity, where underwriting is slowest and most manual. We’re already piloting with family offices and private funds managing over $200 million in assets, paying $1K–$5K per month to automate deal screening and valuation. The opportunity is massive: over $1.4 trillion in new private-equity and real-estate deals are underwritten globally each year, with $25–30 billion spent on diligence and analytics. Yet over 90% of this still happens manually. Alt-X’s mission is to become the operating system for private-market investing — the Bloomberg Terminal of the AI era.

We are building Siri for work, but it actually works. Caddy turns your voice into the next computing interface. It understands what’s on your screen and your intent, so work gets done while you stay in flow. Say “create a Linear ticket and share it to Slack” and Caddy handles it instantly in the background. Caddy’s founders previously led product and design for Loom’s AI suite and core products. We believe the next era of computing will be powered by voice, where computers understand what you say and what’s on your screen so work happens naturally.

Allus builds next-gen vision foundation models that bring real intelligence to manufacturing. Enabling factories to see, understand, and improve production in real time.

Nivara gives engineering leaders visibility into how humans and AI build together, helping teams spot bottlenecks, measure impact, and turn AI adoption into real outcomes. We're building the much needed copilot for Engineering Managers and empower every team to work intelligently with AI.

Building the data infrastructure for robots. Large-scale, real-world data is the missing ingredient for general-purpose embodied agents.

Nori is a concierge-level AI health coach in your pocket. It takes all of your health data—Apple Health, medical records, wearables, everything—and boils it down into a personalized daily plan. Users love it: “It's truly one of the best apps and I check it first every day. Since using Nori, I've been limiting devices in bed and eating earlier—and I'll be damned if it's not working... I started getting more deep sleep, my resting HR dropped to 43, my recovery improved.”—Jen, Nori user"