Y Combinator S26 Batch Companies
Y Combinator S26 Companies
Startup Batches
Welcome to our interactive overview of Y Combinator's S26 batch. Below, you'll find a sortable, filterable table showcasing portfolio companies from this cohort.
Each row details:
- Company name and sector (spanning B2B SaaS, Healthcare, Fintech, Biotech, Construction, Analytics, Consumer, Deep Tech, and more)
- Funding stage to help you gauge maturity and runway
- YC Partner assignment for insight into mentorship and domain expertise
Use this table to:
- Explore Y Combinator's current investment focus, spotting which industries and technologies are gaining traction
- Identify promising directions by filtering sectors or funding stages for your own market research or strategic planning
- Quickly find founder contacts for networking, partnership, or investment outreach
Dive in now to track updates in real time, uncover market trends, potential collaborators, and the next wave of disruptive startups — all in one centralized view.
- Company Website
- tsenta.com
- One-Liner
- AI job application agent for seekers
- HQ Country
- United States
- Company Website
- archal.ai
- One-Liner
- Eval platform for autonomous software
- HQ Country
- United States
- Company Website
- controlseat.com
- One-Liner
- AI-native layer for SCADA systems
- HQ Country
- United States
- Company Website
- guildai.co
- One-Liner
- AI-native defense supply chain layer
- HQ Country
- United States
- Company Website
- codag.ai
- One-Liner
- Log compression for AI incident agents
- HQ Country
- United States
- Company Website
- rex.inc
- One-Liner
- AI order-to-cash workforce for enterprises
- HQ Country
- United Kingdom
- Company Website
- context.dev
- One-Liner
- Structured web data for AI agents
- HQ Country
- United States
- Company Website
- realpact.ai
- One-Liner
- AI agents for real estate contracts
- HQ Country
- United States
- Company Website
- caregp.com.au
- One-Liner
- AI-native agent suite for GP clinics in Australia
- HQ Country
- Australia
- Company Website
- machine0.io
- One-Liner
- Backed by Y Combinator for persistent AI VMs
- HQ Country
- United States
- Company Website
- getprescience.com
- One-Liner
- Health benefits platform for ambitious employers
- HQ Country
- United States
- Company Website
- hop-aero.com
- One-Liner
- Building a physical internet for aviation infrastructure
- HQ Country
- United States
- Company Website
- tryglen.com
- One-Liner
- Shared memory layer for AI agents
- HQ Country
- United States
- Company Website
- touchmark.ai
- One-Liner
- Quality-based pricing for AI outputs
- HQ Country
- United Kingdom
- Company Website
- mireye.com
- One-Liner
- Federal-grade geospatial ground truth for AI
- HQ Country
- United States
- Company Website
- pango.ai
- One-Liner
- Agentic OS for e-commerce logistics
- Product Description
- Pango is an Agentic OS for e-commerce operations that automates delivery, tracking, returns, transport, and customer support. The company d…
Company | Company Website | One-Liner | HQ Country | Employee Count | Founding Year | Product Description | YC Page | YC Industry | YC Partner | Functional Type | Extruct Industry | Founders | Total Money Raised | LinkedIn Profile | GitHub URL | Go-To-Market Strategy |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AI job application agent for seekers | United States | 1-10 | 2026 | Tsenta builds an AI agent that monitors more than 50,000 company career pages and submits tailored job applications. It supports application workflows through Workday, Greenhouse, Lever, Ashby, Chrome, iMessage, WhatsApp, and CLI or MCP tools. The product targets applicants who want faster submissio | Consumer, Recruiting, HR Tech | Jared Friedman sources: 1 | Recruiting Software, AI Research, Skills Training & Career Development Platforms | – | 2 people Pulkit Gupta, Founder at Tsenta Agnay Srivastava, Founder at Tsenta | – | – | Tsenta employs a product-led growth (PLG) strategy, focusing on intelligent automation and user control. Their go-to-market strategy emphasizes "end-to-end automation" and "complete transparency," allowing users to watch applications being filled out live. This approach enhances user engagement and sources: 1 | ||||
Eval platform for autonomous software | United States | 1-10 | 2026 | Archal is an eval platform for autonomous software that tests agents against clones of real services. It runs realistic scenarios on stateful clones, then records traces, criteria, and evidence for debugging and review. The company says it supports agent testing across common developer tools and is | B2B, Infrastructure | Ankit Gupta sources: 1 | Dev tools for AI Agents, API Development & Integration Platforms, Software Testing & QA Automation Tools | Analytics | – | – | – | – | Archal's go-to-market strategy is centered around a product-led growth (PLG) approach. They focus on providing a platform for testing integrations with SaaS APIs, allowing users to write scenarios in markdown and integrate these tests into CI pipelines. This strategy emphasizes user engagement and p sources: 1 | |||
AI-native layer for SCADA systems | United States | 1-10 | 2025 | Control Seat is an AI-native intelligence layer that sits on top of existing SCADA systems. It connects live industrial data, supports real-time analysis, and adds AI-assisted dashboards, automation, and root-cause workflows. The company reports sub 100 millisecond latency, 10,000-plus tags per seco | Industrials | Jared Friedman sources: 1 | Analytics & BI: Data analytics, Cloud/DevOps Tools, Workflow automation | Analytics, Asset Management, Consumer, Engineering, Healthcare IT, Manufacturing, Operations, Productivity, Supply Chain | 1 person Jack Grodnick, Co-Founder | – | – | Control Seat employs a product-led growth (PLG) strategy, which is evident from their focus on allowing users to build dashboards visually on top of existing SCADA systems. This approach encourages user engagement and adoption without a heavy reliance on a sales team. Key tactics include providing a sources: 1 | ||||
AI-native defense supply chain layer | United States | 1-10 | 2025 | GUILD builds the operating layer between government demand and manufacturing execution for defense production. Its site describes workflows for market intelligence, machine integration, packaging, testing, predictive analytics, and logistics intelligence. The company also states security practices m | Industrials, Defense | – | AI Research, Dev tools for AI Agents | Analytics, Productivity | 4 people James Everingham, CEO Matthew Podolak, CTO & Co-Founder Christina Smedley, CMO Danny Keane, Founding Team - Design | – | – | – | – | |||
Log compression for AI incident agents | United States | 1-10 | 2026 | Codag builds infrastructure tooling that compresses raw logs into schema-valid incident capsules for AI agents. The system uses deterministic log templating, MCP-compatible delivery, and cited outputs tied to exact log lines. Codag positions the product for agentic debugging rather than human dashbo | B2B, Infrastructure | Harshita Arora sources: 1 | Analytics & BI: Data analytics, Dev tools for AI Agents, Workflow automation | Analytics, Infrastructure, Logistics | – | – | – | |||||
AI order-to-cash workforce for enterprises | United Kingdom | 1-10 | 2026 | Rex builds AI agents for order-to-cash operations at global enterprises. The product handles inbox triage, portals, cash application, and exception routing before receivables stall. It also exposes operational reporting through alerts, daily status views, and dispute tracking. | B2B, Finance and Accounting | Vivian Midha Shen sources: 1 | Payments & FinOps Platforms, Workflow automation, Accounting Tech | Finance, Analytics, Automotive, B2B, Consumer Finance, Operations, Payments, Productivity | 2 people Kevan Sadigh, Founder Stephen Elias, CPO/CTO | – | – | Rex employs a product-led growth (PLG) strategy in its go-to-market approach. This strategy focuses on rapid deployment and measurable improvements in cash flow management for accounts receivable teams. The platform is designed to connect seamlessly with existing finance systems without requiring mi sources: 1 | ||||
Structured web data for AI agents | United States | 1-10 | 2026 | Context.dev provides a web scraping API for AI agents and LLM pipelines. Its platform combines website crawling, structured extraction, and brand intelligence across domains. The company says it is backed by Y Combinator and serves more than 5,000 developers. | B2B, Infrastructure | – | Skills Training & Career Development Platforms, Education Tech | Education, Analytics, Consumer, Content | – | – | – | – | – | |||
AI agents for real estate contracts | United States | 1-10 | 2025 | RealPact automates real estate transactions with AI agents that pull MLS, deed, tax, and property data into contracts. It describes a workflow that drafts, reviews, and sends documents in minutes, while also positioning the product as an AI operating system for brokerages. The company reports contra | Real Estate and Construction, Housing and Real Estate | – | – | – | – | – | – | – | ||||
AI-native agent suite for GP clinics in Australia | Australia | 1-10 | 2024 | Care GP delivers AI-powered automation for GP clinic operations, focusing on document filing, voice-based appointment management, and billing. Agents are designed specifically for Australian healthcare regulations and workflows. The platform is integrated with existing systems and operates with full | Healthcare | – | – | – | – | – | – | – | – | |||
Backed by Y Combinator for persistent AI VMs | United States | 1-10 | 2026 | machine0 provides persistent NixOS and Ubuntu virtual machines with preinstalled tools, dedicated compute, static IPs, and per-minute billing. The product supports start, suspend, snapshot, and resume workflows, plus golden images, clones, optional GPUs, and HTTPS endpoints on subdomains such as .ma | B2B, Infrastructure | – | – | – | – | – | – | – | – | |||
Health benefits platform for ambitious employers | United States | 1-10 | 2026 | Prescience sells a health benefits platform for employers, with a Prescience Platinum Plan and member-facing care navigation. The site describes predictive care routing, a 24/7 AI Companion, and MD-led support alongside employer administration for claims, COBRA, ACA filings, payroll sync, and plan r | Healthcare | – | – | – | – | – | – | – | – | |||
Building a physical internet for aviation infrastructure | United States | 1-10 | 2024 | Hop Aero is a stealth-mode startup focused on developing a physical internet for aviation infrastructure. The company aims to create a network of interconnected aviation components that enable real-time data exchange and operational efficiency. No public product details or customer information are a | Industrials, Defense | – | – | – | – | – | – | – | – | |||
Shared memory layer for AI agents | United States | 1-10 | 2026 | Glen is a memory system for AI agents that stores and retrieves organization-wide knowledge. It is built for teams that want agents to read from and write to a shared memory layer. The product runs in production and is used for sensitive organizational memory across functions. | B2B, Productivity | – | – | – | – | – | – | – | – | |||
Quality-based pricing for AI outputs | United Kingdom | 1-10 | 2026 | Touchmark prices AI products by evaluating output quality instead of counting tokens. Its TypeScript SDK, @touchmark/sdk, records sessions, emits events such as model outputs and code diffs, and returns quality-adjusted prices through separate valuations. The company is backed by Y Combinator and pr | B2B, Infrastructure | – | – | – | – | – | – | – | – | |||
Federal-grade geospatial ground truth for AI | United States | 1-10 | 2026 | Mireye provides AI agents with sourced geospatial context for any US coordinate, including terrain, land cover, buildings, water, and risk data. Its product, Mireye Earth, returns cited answers and timestamped fields through HTTP endpoints and an MCP server. The company says it is backed by Y Combin | B2B, Infrastructure | – | – | – | – | – | – | – | – | |||
Agentic OS for e-commerce logistics | – | – | – | Pango is an Agentic OS for e-commerce operations that automates delivery, tracking, returns, transport, and customer support. The company describes its product as an autonomous digital employee and an intelligent operating system for e-commerce logistics. It is backed by Y Combinator and says it aut | B2B, Retail | – | – | – | – | – | – | – | – |
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