Netter is building an AI-native Palantir for the mid market, helping companies regain control over their data through full-stack data scientist agents. The platform connects to data sources, builds pipelines, and deploys use cases including operational apps, ML models, and AI workflows for mid-market enterprises. It aims to bring enterprise-grade data operations to companies without large in-house data teams. The company is based in San Francisco and is part of YC's Spring 2026 batch.
Netter
ActiveAI native Palantir for mid market
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
AI-native data operations platform for mid-market companies
Full-stack data scientist AI agents
Connectors to multiple data sources
Automated data pipeline construction
Deployment of operational apps on top of unified data
ML model building and deployment
AI workflow creation for business use cases
Enterprise-style data control without a large in-house team
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is Netter?
- Netter is an AI-native data platform, described as a 'Palantir for the mid market,' that uses full-stack data scientist agents to connect sources, build pipelines, and deploy data-driven use cases.
- Who is Netter for?
- It targets mid-market enterprises that want enterprise-grade data operations but lack large in-house data teams.
- What can Netter deploy?
- It can deploy operational apps, ML models, and AI workflows built on top of a company's connected data.
- Is Netter an established product?
- Netter is a San Francisco-based, early-stage company that is part of Y Combinator's Spring 2026 batch.
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