B2B Software and Services Startups funded by Y Combinator (YC) in New York 2026

We’re a passionate team of dreamers and builders, determined to liberate small businesses from the not-so-fun aspects of the job so that they can focus on what’s fun and important.

Bernard builds AI employees for home and commercial appliance servicers. They work across phone, text, email, warranty feeds, and existing systems to manage customer communication, scheduling, and dispatch, carrying each job through diagnosis, parts preparation, technician handoff, and follow-up. At the center is Pre-ID, which combines the exact appliance and its symptoms with repair history, similar completed visits, manufacturer guidance, and parts data to produce a diagnosis, ranked parts, and follow-up questions. Technicians arrive prepared with the right parts, helping servicers complete more repairs on the first visit. We’re building the world’s most efficient appliance servicers, creating happier customers and a more connected appliance ecosystem. Learn more at https://bernardhq.com/

Financial Datasets is the largest search index for stock market data, built for AI agents. We index the world's markets so agents can search every filing, answer any financial question, and monitor markets in real time. For 40 years, market data was built for humans reading a screen. We are rebuilding it for agents that research every company, all day, across the world.

Ekho predicts the wars, strikes and tariffs that break global shipping, and tells freight teams which shipments are exposed and what to do about them. Predicting escalation is what our team did for eight years before this - now we bring the same engine to logistics.

Litmus is building the most accurate framework for evaluating and benchmarking human capability, starting with software. AI will compound small differences in human capability into increasingly large differences in what people can accomplish, while making existing static benchmarks obsolete. Software is already there: AI can hill-climb any output-based evaluation, while the ability to direct it is becoming the defining advantage. Litmus applies the same approach we already use for model evals to humans – creating world-like environments, and inspecting trajectory instead of just output. Every knowledge industry will soon face the same problem. We build Litmus to tell you what humans are capable of. We're already helping build frontier technical teams at Mercor, Composio, Neo Scholars, and more.

Marble is the first AI-native operating system for the restaurant back-of-house. Restaurants, cafes and bars still run on a patchwork of disconnected point solutions, spreadsheets, clipboards and tribal knowledge, which costs the industry billions each year in stockouts, food waste, and lost profit. Marble replaces that entire stack with one system. Computer vision and voice AI capture real-time inventory levels 90% faster than manual counts, ML models forecast item-level demand at 97% accuracy, and AI agents run dozens of end-to-end workflows autonomously, from procurement and invoice reconciliation to scheduling, food prep, menu engineering, and more.

Pango is a platform for e-commerce companies to use natural language to build agents and automate their logistics operations like delivery and returns.

Multiplier helps institutional investors research stocks and manage their portfolios. We're live with six hedge funds, and our users spend 4+ hours a day in the platform. Investors who try "nearly every tool on the market," to quote a client of ours, "wind up with an unwieldy collection of fragmented point solutions." Those who focus on building a great setup with general agents are instead "signing up for a full-time job." So we deploy a platform called Multiplier that unifies structured data, unstructured data, AI work, human work, and tacit firm knowledge in one secure, governed, customized application. Our first vertical: independent equity funds with $250M-$5B of assets. They know AI is essential for staying relevant, but they don't have the time or talent to figure out what to do about it. But once we deploy Multiplier––"We used to spend 80% of our time gathering information and 20% of our time acting on it," said one customer. "Multiplier has flipped those percentages."

Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. It lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.

Chert provides the infrastructure for businesses to automate conversations over iMessage. We’re already working with B2C startups, customer experience teams, and sales teams to reach end users through trusted and conversational messaging.

Cohesion is building the modern system of intelligence for financial analysts. Cohesion believes that the way financial research is done is changing. Teams that leverage AI better understand their research, can cover more scope, and make better decisions.

Arzana trains custom models on manufacturers' operational data to automate their quoting, order entry, invoicing, and other repetitive office work. We've saved our customers over $1.5M in avoided staff costs. In the future, we'll expand into shop-floor automation, sending instructions to machinery and robots to produce the orders that our office agents processed. By 2035, we aim to fully automate 10,000 American factories.

Rubric AI (backed by Y Combinator) is the reasoning and verification infrastructure for AI. We're building the human and computational layer that turns expert judgment into training signals for the world's most consequential AI systems.

Sila is a messaging platform where you text agents to get work done. Describe your idea or task with a message and Sila creates agents that you and your team message together to build and run your company.

Cofia learns how your team runs internal operations and automates the highest-ROI workflows, automatically.

Tepali is the AI-native operating system for medspas. We replace fragmented software and manual work with a single system of record powered by AI agents that handle front desk, patient documentation, and lead conversion.

Revion is building the operating system for Automotive Retail. Our first product helps Technicians automate administrative work, which drains 30-40% of their day. With Revion, Auto Retailers can service more vehicles and drive more high-margin Revenue.

Crosslayer Labs detects impersonation attacks on websites and APIs. We provide "outside-in" monitoring of customer infrastructure, comprehensively discovering and monitoring all Internet dependencies, including DNS, BGP, TLS certs, Javascript. We correlate signals from different layers of the Internet stack to identify attack patterns. Our alerts are actionable and contain root cause analysis/remediation recommendations. Our founding team is world renowned for previously inventing the MPIC standard adopted by all the major CAs including Google, Apple, Amazon. The MPIC standard is securing over 700 million websites via the issuance of over 3 billion digital certificates, and is now a global internet standard that protects every single HTTPS connection.

Wayco is building a unified data intelligence layer for medical treatment of legal cases. From the first intake to instant settlement.

Robby is an AI growth engine for home services businesses that uncovers revenue opportunities and collects additional data from every technician visit. Our AI combines customer and third party data to generate dozens of new leads every day, and then arms the technicians with talking points to increase close rates, giving GMs a single command center to manage and drive revenue. We have several paying customers that are each uncovering 6 figures in additional revenue opportunities every week. On our first day of launch, we helped close $40k in new business within an hour. Our team has spent the last few months riding along with dozens of technicians and shadowing every position in the office to best understand the industry. We're also studying for the EPA 608 exam to become certified technicians ourselves. Vineet and Feroze have both built critical products and infra at prominent startups (Ironclad, Porter, Affinity, Uber, Cloud Health Systems). Joe previously consulted PE firms on software acquisitions and led home services growth projects at Bain. We all met at Harvard Business School, and dropped out to work on Robby full-time.

It takes 500,000 days of office work to bring a drug to market. We want to make it 5. To get there, we need agents doing most of the work. Today, our research agent is the best way to know what the FDA thinks. Users ask a question and get an answer backed by up to 1,000 documents, where each statement has a citation. It’s the best because we have the best retrieval engine. We’ve tuned it on our life science-specific dataset, and we find what others miss. As more teams use Rhizome, we gain more data on what regulatory professionals actually need, which makes retrieval even better. This flywheel is how we become the retrieval engine that powers all human and agent work in life sciences. Chetan started his career as a research engineer, but quickly realized he enjoyed building more than research. He joined EvolutionaryScale as their sole founding product engineer, launching their developer-scientist platform and scaling to tens of thousands of users and billions of API calls. He was also #16 at Instabase helping banks with document processing, closing $7m as the technical closer. Agents can do magical things today, but most in life sciences only use them to edit emails. Agents are missing the context they need to 100x the number of drugs we can bring to market. Rhizome AI is focused on that critical problem.

MouseCat enables companies to detect suspicious activity, automate investigations, and act before the money leaves. We work with Fortune 500 companies and startups to deploy real-time models and AI agents that reduce fraud, compliance incidents, and friction for good customers.

Bizzy handles your calls, captures and qualifies leads, and books appointments directly into your CRM. It understands your services better than a receptionist would, routes and escalates calls, and syncs with your existing tools to incorporate complex workflows, all so your team can focus on servicing leads, not qualifying them.

Advertising today is like trading in the 1980s pits: archaic, manual, and iterative guesswork. Humans update bids and keywords with noisy, delayed data using simple if-else rules that both break at scale and ignore stochasticity. Laurence advertises like modern hedge funds trade markets, driving a 15-40% improvement in net profit for Amazon brands within a month of onboarding.

Mantis is a digital twin company that combines LLMs with high-fidelity physics simulations in order to convert rare and difficult-to-access human behavior data into predictive models.

o11 is the AI data warehouse for financial firms. The largest firms build a moat around their data. Today, they pay engineers $200k a year each to spend years organizing/maintaining disconnected sources in a legacy data warehouse. The business intelligence that results is the key unlock, but it's time effort and money that would be better spent elsewhere. o11 brings a custom ontology and data model to firms of any size allowing them to unify CRM, email, files, data rooms, market data, M365, etc. all in one place. We help firms architect their own data warehouse, and then from their AI maintains it. No engineers, no legacy solutions, no complex migration. o11 is built for security and complex permissions from the ground up allowing it to safely connect directly into any agent including Claude, ChatGPT, and Copilot. Leverage your proprietary data -- it's the deal, relationship, and business intelligence that makes your firm special

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.

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.

Coding agents made writing code fast. But 6 engineers in a room will probably still disagree on what needs to be built. Scott AI is a planning workspace where engineering teams align on what to build before their coding agents start building it.

Aspect helps creative teams consolidate 5 media tools into one platform. We provide everything a media team needs: file ingest, local file streaming, review and approval, sharing, and archiving. Aspect workspaces come with an agent that has complete understanding of your asset library including comments and revisions. Ask the agent to complete any task in the background: searching for files, setting up folder structures, labeling and organizing footage, and much more. Check out https://aspect.inc/use-cases to see how different media teams use Aspect to deliver content faster.

If you’ve got a lot to do, we believe AI can make things feel doable. Caddy is our core product: a Personal AI that helps you stay on top of everything going on. All you have to do is text. On overwhelming days, it’s super simple to just drop any task in a text thread, and Caddy will help you handle it. Caddy also keeps an eye on your calendars, chats and tasks to make sure you stay focused on what matters. If something needs you, Caddy will nudge you, or can just do it if you don’t have time. The best part is, no two Caddys are alike. The more you use Caddy, the more it learns your vibe, how you work, and what you care about. 

Amika is infra to build your software factory. We give your team sandboxed AI coding agents in the cloud: the same infrastructure Ramp, Coinbase, and Stripe built in-house. Kick off work from a web UI, CLI, Slack, or API. Use your preferred coding agent (Claude Code, Codex, etc.). Each agent understands your codebase, runs autonomously, and ships real PRs with live previews of the apps it changed. Use it as your daily driver or plug it into your own code-gen pipeline via API.

RowFlow replaces clunky web forms with natural conversations that run over text, slack, or wherever your users are. Our platform increases your form’s response rates while cutting your internal overhead in half. With RowFlow, you can take any existing form and instantly convert it into an AI-powered conversation. New flows launch in minutes and reach respondents over your preferred channel or embedded chat. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team. Forms power billions of business interactions yearly. Whether it’s forms for client intake, registrations, compliance, feedback, or surveys, they all follow the same painful pattern: low conversion, messy data, and frustrated users. Teams have long tolerated forms only because there's been no scalable alternative for collecting structured information from people - until now. Our goal is for RowFlow to become the new default way for how organizations collect user data in an AI-first world.

Bezel helps fashion brands create virtual photo/video shoots with AI. Upload images of clothes, select the human you want to model it, and Bezel generates pictures and videos that rival a full studio production. Every detail of the clothing is rendered flawlessly. Try it for yourself.

Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.

We build independent and contamination-proof benchmarks that measure real world performance. LLM Stats is the most complete LLM leaderboard. We have the most complete archive of LLM benchmark results and also run independent evaluations that are not the classical ones that are already in the training data of most models. Our mission: become the biggest community dedicated to AI transparency.

Prosper builds AI phone agents for healthcare providers. Our agents automate manual, time-intensive workflows like patient scheduling, balance reminders, claims status checks, benefit verification, and prior authorizations. We integrate with 80+ EHRs, go live in 3 weeks, and offer a no-code interface for customization. Today, Prosper handles thousands of daily calls for dozens of providers, reducing costs by 50% and tripling productivity. We’re building the AI-first operating system for healthcare to eliminate the $200B lost to administrative overhead every year.

Fleetline is building the first complete-context algorithmic load planner for mid to large-sized trucking fleets. Today’s dispatchers face an overwhelming task: balancing regulations, customer demands, live fleet data, and individual driver needs, all while coordinating across siloed tools and teams. Mistakes run rampant, and each mistake is thousands of dollars. Even the select fleets using algorithms that have fleet-wide context struggle: the outputs are rigid, hard to interpret, and are blind to real-world nuances like driver preferences and schedule exceptions. Fleetline solves this by combining advanced optimization with LLMs that can easily adapt algorithms to each fleet’s needs and capture driver-specific information. The result is smarter planning truly optimized for every fleet and its drivers.

AI for account management and customer success. Ambral has already been used to drive hundreds of millions of dollars in attributable expansion revenue at multi-billion dollar enterprises and top scale-ups. Ambral synthesizes signals from all customer activity and interactions into AI-powered models of every account. It pinpoints who needs attention and why, and autonomously takes the best next action to drive expansions, prevent churn, and ensure no customer slips through the cracks. Team: Sam (CEO): 2x founder. Led AI at Everlywell and early PM at Wonder (now valued at $7bn). Lived the pain of losing customer intimacy at scale and is obsessed with solving it. Jack (CTO): Ex-SpaceX Flight Software Special Projects, where he developed telemetry routing and analysis systems for the most complex machines ever created. He’s now doing the same for the complexities of customer relationships.

Quotain helps sales teams practice the calls they actually need to win. Reps upload or connect CRM notes, past calls, LinkedIn profiles, and company websites, then Quotain creates realistic AI buyers they can speak with before the real meeting. After each practice call, Quotain scores the rep and shows exactly what to improve.

Plaintiff-side law firms compete in some of the most expensive search ad markets to acquire high-intent leads, but the path from click, call, or form fill to signed retainer is still fragmented. Disconnected intake workflows, slow response times, and disconnected spend-to-case data makes it hard to know what is actually working. Mimos automates their growth and intake playbook: 1. Generate Qualified Leads: Our agents manage Google Ads, Local Services Ads, Google Business Profile, and other high-intent acquisition channels. 2. Convert Faster: Every lead flows into a CRM built for intake, triage, follow-up, and handoff from inquiry to signed retainer. 3. Close the Loop: We connect spend, lead source, intake actions, and signed-case outcomes so firms know what to scale, pause, or fix. The result: more qualified leads, less wasted spend, and more signed cases.

We emulate the attacks real adversaries run today: help-desk vishing, deepfaked executives, MFA fatigue, and the payloads that follow. We run them against your people and the controls around them to reveal what is actually exploitable, not what looks compliant. Then we close the gap, retest until the fix holds, and give your leadership the evidence that risk actually went down. From initial access to remediation.

Pangolin delivers seamless access and connectivity across your apps, infrastructure, and AI workloads while continuously enforcing enterprise-grade security. Built for agile IT teams, Pangolin eliminates the friction of bloated, legacy systems with an open platform that’s easier to deploy for your workforce. It's open-source.

Alter is a zero-trust identity and access control platform purpose-built for AI agents. It wraps every tool call in strong authentication, fine-grained authorization, and real-time guardrails, so agents can move fast without breaking things. Each request is verified at the parameter level, authorized against granular policies, executed with least-privilege access, and fully audited in real time. Unsafe actions, whether it’s a rogue DROP TABLE or a payment above policy limits, are blocked before they touch production. Behind the scenes, Alter manages credentials, issuing ephemeral, scope-narrowed access for every interaction, then rotating or expiring it in seconds. The result: no long-lived secrets, no blind spots, and no surprises in audit. With Alter, teams can move fast on AI agent initiatives while staying fully compliant with SOC 2, HIPAA, GDPR, and internal security standards. A CISO-ready dashboard delivers real-time visibility, detailed audit logs, and compliance-ready controls, removing silos, eliminating excessive permissions, and providing complete oversight of every agent workflow.

Channel3 is building a database of every product on the internet. Google and OpenAI maintain vast product graphs, but keep that valuable data to themselves. Channel3 gives every developer access, opening a world of possibility for new shopping experiences across any vertical. For instance, developers could build AI fashion stylists or give their agents shopping capabilities. We don’t just collect product data; we actually understand it. With the latest image classification and reasoning models, we can match products across merchants—even when listings and images differ—recognize variants, and surface the perfect matches for every search. As we grow, we’ll capture unique insights into what users want, click, and buy. As AI models get smarter and cheaper, our flywheel accelerates: our catalog will improve, and it will be even easier for developers and vibe-coders to build on our infrastructure. To further incentivize building on Channel3, we provide built-in monetization; developers earn commissions on sales they drive. Alex discovered this need while building an AI tutor that could recommend products and earn affiliate revenue. When no solution existed, he persuaded his smartest friend from Duke and former co-founder George to leave Palantir and build Channel3 together.

Interfere empowers engineers, product managers and designers with real-time understanding of previously unseen bugs and issues.