Jarmin builds autonomous AI employees for human-level machine learning roles, functioning as a 24/7 ML engineer that ships production-ready AI features. The system learns its responsibilities, understands a company's data, integrates into existing systems, and handles end-to-end ML development including feature engineering, model selection, and pipeline deployment. The founding team comes from Meta Superintelligence Labs, Apple, AWS, and JPMorgan Chase. Jarmin was founded in 2025 and is part of Y Combinator's Fall 2025 batch.
Jarmin
ActiveAI Employees for human-level roles
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
—
Founded
2025
San Francisco, United States
Agent-ready
—
Autonomous AI employee designed for machine learning engineering roles
Operates 24/7 to ship production-ready ML features end to end
Learns its assigned responsibilities within a company
Understands and works directly with a company's data
Handles feature engineering across the ML lifecycle
Automates model selection and experimentation
Manages pipeline deployment into production
Integrates into existing systems and workflows
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 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 does Jarmin actually do?
- It builds autonomous AI employees that function as 24/7 machine learning engineers, handling end-to-end ML development including feature engineering, model selection, and pipeline deployment.
- How does Jarmin learn a company's context?
- The system learns its responsibilities, understands the company's data, and integrates into existing systems so it can ship production-ready features within that environment.
- Who is behind Jarmin?
- The founding team comes from Meta Superintelligence Labs, Apple, AWS, and JPMorgan Chase. The company was founded in 2025 and is part of Y Combinator's Fall 2025 batch.
- Does Jarmin replace ML engineers entirely?
- It is positioned as an autonomous AI employee that ships production ML features, but as an early-stage product, organizations typically retain human oversight for critical or high-stakes systems.
- Can it deploy models to production?
- Yes. Jarmin handles pipeline deployment as part of its end-to-end workflow, not just experimentation or prototyping.
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