Discover the next generation of startups.

Revnu

YCombinator

The growth infrastructure for the autonomous business

Revnu is your AI growth team. Built to run your whole GTM while you focus on building, Revnu is the best way to grow with AI. Our agents run every growth channel: outbound, ads, SEO, social, etc all on one shared intelligence, so learnings from one channel automatically improve all the others. You keep shipping. We run the business.

Rex

YCombinator

AI Operations Partner for Enterprise Order to Cash

Rex is an AI-native service for order to cash. We replace people-heavy operations with AI agents that continuously manage invoices, customers and exceptions. Order to cash is a $60B outsourced function because the work is too messy for traditional automation. Every customer has different context, exceptions do not follow clean rules, and the next step is often buried in emails, portals, handoffs, or someone’s memory. Rex agents run continuously in the background and resolve work to SLA standards so cash keeps moving. We're live with pre-IPO tech companies, managing >$500m in receivables from F100 companies, cutting manual follow-up cycles from weeks to hours. We founded Rex after spending four years building Sequence, an a16z-backed finance ops platform, from zero to Series A — where we saw firsthand that at-scale, O2C still runs on manual labour. Rex is the #1 winner of the Vercel AI Accelerator out of 2,500 teams, selected by Guillermo Rauch and leaders from OpenAI, Anthropic, Browserbase and more.

Rindler

YCombinator

The translation layer between AI agents and the web

Rindler turns any website, including sites without APIs, into a deterministic API that AI agents can reliably use. It handles logins, 2FA, and bot detection, giving agents clean structured data and dependable actions instead of raw HTML, with robust maintenance when sites change. Rindler is agent-agnostic and built on the open MCP standard, so it works with any agent. For operators: get your team out of portals and back to the work that matters. For agent builders: let your agents act on the real web quickly, cheaply, and reliably on every run.

Risklytics

YCombinator

Property-Level Natural Disaster Risk Modeling

Risklytics builds AI risk models that score natural disaster risk property by property, so insurers can write the good risks hiding inside 'high-risk' zones instead of declining entire ZIP codes. One API call returns the risk score, the drivers behind it, and the cheapest retrofit path to insurability.

Roomstorm

YCombinator

Real time B2B hotel room marketplace for various industries…

Roomstorm has developed the airline industry's first ever fully automated platform for providing hotel accommodations to distressed passengers during flight disruptions. This platform gives airlines the opportunity to directly connect to hotel inventory all over the world, or to give their teams an advanced web portal for the rapid processing of their passengers.

Rote

YCombinator

AI-native insurance department for auto body shops

Rote handles the entire negotiation lifecycle between shops and insurance companies to help them recover thousands of dollars in denied claims. Shops today lose millions per year because they lack the resources to negotiate with insurance companies that undervalue repair costs. Rote's agents recover denied revenue by taking shop estimates and referencing technical repair data to autonomously file and defend shop claims.

Salus

YCombinator

Guardrails to validate your agent's actions before they execute

Your agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that. We’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. Kevin and Vedant were roommates at Stanford, where they both studied computer science.

Scoop

YCombinator

Automating regulatory submissions for life sciences

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.

screenpipe

YCombinator

Record how you work and turn that into agents

screenpipe record and learns how you work and turns it into a searchable memory, SOPs, and AI agents. Data is stored on your device or where your team choose, open source.