PerfectBit creates high-quality training data for frontier AI labs, verified against authoritative sources such as physics simulators, scientific databases, and formal proof systems. The company aims to address hallucination, common-sense failures, information scarcity, and scalability challenges in model training across text, code, image, audio, and video. Its founders bring deep generative-AI and research backgrounds from Meta. PerfectBit is part of Y Combinator's Spring 2026 batch.
PerfectBit
ActiveTraining data for frontier AI labs
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
High-quality training data for frontier AI labs
Verification against physics simulators
Verification against scientific databases
Verification against formal proof systems
Coverage across text, code, image, audio, and video
Addresses hallucination and common-sense failures in training data
Targets information scarcity and scalability challenges
Founders with generative-AI and research backgrounds from Meta
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 does PerfectBit produce?
- It creates high-quality training data for frontier AI labs, verified against authoritative sources such as physics simulators, scientific databases, and formal proof systems.
- What problems does it target?
- It addresses hallucination, common-sense failures, information scarcity, and scalability challenges in model training.
- Which modalities does it cover?
- It spans text, code, image, audio, and video.
- What is the founders' background?
- Its founders bring deep generative-AI and research backgrounds from Meta, and the company is part of Y Combinator's Spring 2026 batch.
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