B2B Software and Services Startups funded by Y Combinator (YC) in New York 2025

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.

Chasi helps equipment dealers grow and retain customers with 24/7 VIP treatment across all channels. Chasi’s AI agents act as executive assistants for sales and support reps, automating follow-ups, data collection, status updates, and outreach so teams can spend more time with customers and less on admin. Over half of dealer payroll goes to sales and support, but a third of that team’s time is lost to admin. Fleets still run under 60% utilization, most branches lack after-hours coverage, and the aftermarket is largely reactive. Chasi plugs these revenue leaks by keeping units rented or sold, chasing every lead, and driving the right parts and service before machines fail.

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.

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.

Dome makes it easy to build on prediction markets like Polymarket and Kalshi. We provide the developer infrastructure to access, analyze, and build on prediction markets. With our unified API, developers can access live and historical data, including granular datasets not available natively, across multiple platforms at once. Dome makes it simple to trade, embed market data into products, and deploy strategies across multiple platforms through one interface.

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.

Palace (palace.so) plans, coordinates, and executes daily back-office work for trucking fleets. By automating the manual decisions that consume planning, dispatch, and CSR teams (assigning loads, managing appointments, communicating updates, and resolving exceptions) carriers can increase revenue-per-driver while running leaner teams. Leeds and Derek have been building together as close friends for over six years. The team have been early PMs/engineers at exited startups and decacorns and worked on the algorithms behind Amazon’s robotic logistics systems.

Our mission is to build self-improving AI agents. We're here to close the last mile reliability gap. Through calibrated llm judges and automatic evaluations, we help companies optimize their agents 10x faster than doing manual experimentation.

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.

Eden runs marketing for ecommerce brands. Our AI agents can autonomously schedule campaigns, run A/B tests, and personalize experiences across email, SMS, site display, and more, so brand founders get enterprise-level marketing without needing a team or agency. Alex and Jason have been best friends for 8+ years. They met at TJHSST, became nationally ranked debate partners, and later coworkers at Datadog. Alex led operations at an AI shopping startup, working directly with brands like TheRealReal, Poshmark, and Farfetch. Jason was at Reddit's mobile ad retargeting team and is a second-time founder, previously exiting an AI recruiting startup doing $50K MRR.

GhostEye uses autonomous AI agents to test how attackers exploit human vulnerabilities to compromise organizations. Just as red teams simulate technical attacks against infrastructure, we simulate sophisticated social engineering campaigns and beyond against people. Our multi-agent platform validates complete attack paths from initial human compromise to data exfiltration, providing security teams with actionable intelligence about their true human attack surface exposure before attackers find it.

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.

Cleon's AI voice agents work 24/7—answering every incoming call right away and making outbound calls when you need them. They chat like real people, handle FAQs, book appointments, take orders, and pass the complex stuff to your team when needed.

sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back. By using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.

Dolphin is a startup in a box. Dolphin is a web-app builder for aspiring startup founders to ship to their first customers in an hour. Dolphin builds startups in one pass. Dolphin can setup subscriptions, AI assistants, complicated database updates, integrations, messaging, and more. Teddy and I have spent thousands of hours building complicated web apps, and we’ve developed strong opinions on how to architect them. That’s why Dolphin is so powerful: rather than give an AI free rein, we constrain it to the Dolphin architecture. Constraints breed creativity. We designed the Dolphin architecture so that, when an AI works with it, its outputs are correct, secure, and scalable.

Kirana AI is building the first full-stack AI store manager. With 100 years of family experience owning and operating grocery stores, we are starting there to prove our impact. Our first product utilizes an on-premise GPU that monitors the store 24/7, scans for theft, looks for workplace health and safety issues, and optimizes customer service. With future POS/ordering data integrations, our manager will automate many of the day-to-day tasks of running a store, such as ordering, pricing, assortment, and delegating.

Cohesive is the agentic CRM for blue collar businesses like janitorial, pressure washing, landscaping, HVAC, and pest control businesses. Cohesive fully automates sales and marketing outreach to local businesses and property owners in the service area, helping local service businesses grow even while servicing clients in the field.

ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.

Tire Swing uses AI to power resident and applicant eligibility evaluations for affordable housing. Our software manages the resident certification and recertification process end-to-end for public and private properties supported by Project Based Rental Assistance, Low Income Housing Tax Credit, and Housing Vouchers. It serves as a drop-in replacement for third-party consultants and auditors, and helps compliance staff complete their work faster and more accurately.

OpenIntake boosts law firm revenue by converting callers into clients 24/7.

G LNK is an AI-powered platform simplifying how healthcare companies connect with the relevant medical professionals. Our proprietary matching and ranking models instantly identify the most qualified experts, accelerating drug development and commercialization. Designed with compliance at its core, G LNK ensures every connection meets strict regulatory and ethical standards—empowering companies to innovate faster with confidence.

Trata is an AI-powered research desk for hedge funds. We use agents to interview hedge fund analysts, write investment research, and distribute this through a subscription.

Vortexify AI is a platform for building fully operational AI workflows tailored to supply chain operations. Deploy specialized, task-specific AI bots in days — not weeks. Our platform streamlines the creation of AI bots that can analyze millions of data rows, manage complex, long-horizon processes, and collaborate seamlessly with humans in the loop. Each AI bot comes equipped with custom tools maintained through AI-powered code editors directly within the Vortexify platform. Development teams can instantly generate dashboards, data pipelines, machine learning models, and custom functions — all contextualized to business goals and data requirements. Bots can operate in Co-pilot or Agent (autonomous) mode. They can be scheduled or triggered by real-time alerts and are governed by robust, natural language-generated guardrail templates that ensure safety, compliance, and reliability.

BrowserBook makes it easy to reliably automate the web. It's a Jupyter-style IDE for browser automation that combines a live browser, executable code cells, and an AI coding assistant to generate Playwright scripts that are deterministic by default. Developers use BrowserBook to build, debug, and deploy robust web automations, powering AI agents, QA workflows, and data operations.

Melder is an Excel add-in that brings AI functions and document support into your spreadsheets. Upload files directly into cells, use smart formulas like =GEN, and build automations—all without leaving Excel. Core features: - File-to-Sheet: Drop PDFs directly into cells, then reference them in formulas. - AI-Powered Functions: Write formulas like =GEN() or =EXTRACT() to summarize, classify, and analyze content. - Chat Assistant: Use our AI assistant to help build your sheets or answer questions from your data, live in the workbook. Business users use Melder to: - Accelerate diligence by extracting insights from data rooms - Review contracts by identifying key terms and clauses instantly - Run market research by pulling information from competitor websites - Synthesize transcripts by generating summaries from interviews and calls Melder brings the power of structured spreadsheet logic to the messy, unstructured data world—no coding needed.

Coblocks is a thoughtfully-designed data platform that helps teams write queries and automate workflows faster. We understand the columns, tables, and relationships in your data and use them to help anyone on your team build pipelines with AI, SQL and Python. Think of us like Zapier plus Cursor for data engineering. Here’s how we’re different: • All-in-one: You can get started in 2 minutes – no setup or configuration required. We have one-click integrations, warehousing, transformation, and schedules all built in. • Seamless integrations: Plug in your Postgres database, Stripe transactions, Hubspot leads, or any other data source, without writing code to keep things in sync. • Thoughtful AI: We love Cursor and we love data – we combined the two to help you write accurate queries. We use existing metadata to help you create new datasets, connect sources, fix errors, or edit in place. • Collaborative: Easily share data and discover what others in your org have built as a starting place for your analysis. Wrap common blocks of logic with templates so your team never has to start from zero. • Resilient and Scalable: Our compute engine is lightning-fast for queries and builds. Git and branching are built-in for both code and data, so you can time-travel backwards when things break. You can start with GBs and grow to TBs.

Afternoon.co empowers founders to make better business decisions with real time financial metrics. We pair managed AI bookkeeping and tax services, to reduce administrative burden on founders. Accountants struggle serving 4 million+ of ecommerce brands & startups in the US, because of complexity in sales tax, multiple sales channels and inventory management. We automate a large portion of bookkeeping by integrating with their sales and inventory systems, so founders can spend less time doing admin work.

Symphony helps enterprises train their customer-facing employees using interactive AI voice simulations of real-world scenarios. Users can create an infinite number of simulations that allow their teams to practice the job - avoiding costly mistakes with real customers. For example, we’re live with 2 of the top 3 auto insurers in NA, helping train 1000s of newly hired claims adjusters.

Raycaster is regulatory intelligence for biopharma documents - think Cursor for regulated content, helping medical writers and CMC teams draft, edit, and review submissions much faster.

Getcho is a local delivery platform for high-value goods. We are building a high-reliability delivery network on top of high-volume, unreliable fleets, just like how TCP builds reliable end-to-end networking on top of an unreliable base network (IP).

At Village Labs, we help America's businesses become employee owned by helping them set up and manage an employee stock ownership plan (ESOP). ESOPs are a federal retirement plan that enable businesses to give their employees a stake in the company in exchange for significant tax benefits. With 2.9M Baby Boomer business owners set to retire in the coming years, there's a growing "Silver Tsunami" of businesses across the country in search of new ownership. For many of these owners, selling to their employees is a socially-minded yet financially pragmatic solution. By selling ownership of their business to an ESOP, owners get a fair price, tax benefits, and the satisfaction of knowing their employees and legacy will be taken care of — things not guaranteed with traditional buyers like private equity. In turn, employees retain their jobs and get shares in the business that can help them create life changing wealth by the time they retire — imagine an office secretary retiring as a millionaire. Thousands of businesses across America like Bob's Red Mill, Harpoon Brewery, and Recology already have an ESOP, benefiting over 14 million workers and creating 2.1 trillion in employee wealth. We're excited about the opportunity to massively grow these numbers by making it simple for every business to become employee owned.

Historically, quantitative models are domain specific. Brilliant people spend their best years testing features, tuning hyperparameters, and iterating architectures within a narrow domain. But scale is the panacea: large models will find patterns people, and specialized models, could not. Forecasting generalizes. Zoa trains cross-domain event forecasting engines. *Automating Iteration* LLMs—embedded in multi-agent optimization loops and evaluated against fixed policies—can automate the build-test-improve modeling cycle. Think AlphaEvolve for forecasting problems. *Sample-Efficient General Models* Today’s forecasting models are narrowly crafted with deep human priors. But larger models will outperform state-of-the-art specialized models. Unlike existing event models, our models leverage data from across contexts and rely less on human intuition. And compared to LLMs, our models are built with more inductive priors and rely more heavily on inference-time compute—improving sample efficiency. *Why It Matters* In the real economy, our models could be useful for forecasting supply chain volatility, energy supply and demand, even earthquake risk. Science is, Ian Hacking writes, the taming of chance. It is the process of iteratively updating priors (something like: identify uncertainty, conceive experiment to reduce uncertainty, execute, update). If science is uncertainty-reduction, forecasting is a critical measure of progress. Better forecasting improves our ability to select interesting experiments (roughly those with greatest expected uncertainty reduction) and update priors. Our models will be used by labs and academics in data-heavy domains. Sam's ex-girlfriend introduced him to Greg back at Carnegie Mellon in 2017, and while that relationship didn't last, their friendship has. After college, Greg went to Harvard Law School, while Sam worked for three years at Jane Street on their Options desk, building & leading a satellite dev team.

Diode automates circuit board design. We work with hardware companies to get them the PCBs they need, fast.

Haystack helps you review and merge code faster, without sacrificing quality. Haystack is a code review platform that breaks down pull requests into digestible chunks and lays them out on an infinite canvas, replacing traditional line-by-line diffs in GitHub with a structured, visual walkthrough.

Formula Insight offers Institutional Investors previously inaccessible data. We provide a central repository of financial models so investors can track changes to forecasts, quantify projection accuracy and expedite analysis. This further systematizes the investment process and enables better investment decisions.

Terra empowers creators and brands to design, sample, and bring their own products to market. Creators keep 100% of profits above manufacturing cost — all with no upfront cost or minimums, while manufacturing, fulfillment & logistics are handled in full.

SureBright lets e-commerce merchants embed "Apple Care” like product warranties into their checkout flows in less than 10 minutes. Our AI-powered warranty platform generates incremental revenue and boosts customer loyalty at zero cost to the merchant. Sanket led engineering at PolicyBazar, an insurance tech company that IPOed and is valued at over $8B. Manish worked at Amazon and has built $100M ARR products, handling over 180B requests per day. Until now, finding the right policy for any product and pricing it at the right price wasn’t possible at scale. We automated this process using LLM and have unlocked a $50B+ opportunity. Each month, over 5 million consumers view SureBright warranty offers.

E-commerce brands rely on disconnected, outdated systems to manage everything after the buy button. From fulfillment and inventory to returns, customer support, and shipment tracking, post-purchase operations are messy, manual, and expensive to scale. Zimi replaces the tangle of disconnected tools with one intelligent system that runs everything after the buy button. Despite billions spent on e-commerce tech, post-purchase operations remain a black hole—leading to delays, unhappy customers, and skyrocketing support costs. Legacy ERPs are slow, customer service tools are reactive, and logistics platforms don’t connect to CX systems—forcing brands to patch things together with manual work and multiple tools. Zimi solves this with a single platform that connects 147+ tools and sales channels to centralize data, automate workflows, and power AI agents that proactively resolve issues before customers even ask. Brands use Zimi to route orders intelligently, manage inventory across multiple 3PLs, reduce returns friction, and deliver world-class customer experiences—without the operational chaos. We built Zimi after watching high-growth brands lose time, money, and trust trying to scale with tools that were never designed to work together. Our founding team has deep experience across e-commerce, logistics, and SaaS, and we're building the post-purchase infrastructure every modern brand will need to compete.

Elevate is bringing AI to private equity-backed roll-ups. For example, one of our customers is Guardian Restoration Partners, which is backed by Alpine Investors, the leading roll-up focused private equity firm. In three months, we integrated 10 acquisitions and enabled them to pilot AI agents built on top of our data warehouse. We know this problem personally. Before Elevate, Scott was a Vice President at a $15B private equity firm where he was leading a roll-up. Steve and Jeff are both software engineers with backgrounds across finance, big tech, and start-ups. The founding team has been friends for over a decade from their Duke undergraduate days.

Ryse is the only marketplace where investors who want to buy leases can trade with real estate operators who want to sell leases.

Lytix is Datadog for LLMs. We give developers time, money and certainty when building with AI. Developers are using lytix to build custom evaluations, identify opportunities to save money, and optimize their KPIs. Our approach has helped customers reduce errors by up to 85%.

Create production-grade data automations and applications without writing SQL or code

At Dime, we automate repetitive administrative work in healthcare clinics, including insurance coordination, referrals, referring-provider communication, scheduling, and patient communication. We integrate directly with RIS and EHR systems, creating true end-to-end automation rather than adding another software layer. Our HIPAA-compliant AI agents eliminate paperwork bottlenecks, reduce errors, and restore hours of clinical time - enabling care teams to focus on patients.

OffDeal is an AI-native investment bank, offering small business owners a faster, cheaper way to sell their companies at premium prices. Our AI technology automates most of the grunt work typically done by analysts at larger Wall Street banks, enabling our in-house M&A advisors to focus more on strategic client interactions, leading to better outcomes for both sellers and buyers.