Specific Labs
Specific Labs turns real company workflows into structured datasets for training and evaluating AI agents. The company partners with businesses that own operational records—capturing decisions, handoffs, exceptions, and judgment—and licenses this data to frontier labs and enterprises. Specific also runs a referral program paying up to $10K for introductions that lead to completed data purchases.
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Reliable AI agents require more than generic intelligence—they need the decisions, exceptions, handoffs, and judgment behind how real work actually gets done. This operational data is rarely captured in clean, structured form, making it difficult for frontier labs and enterprises to build dependable, domain-grounded agents.
Solution
Specific Labs partners with companies that own valuable records of real work to turn those workflows into structured datasets. The company captures the nuanced decision-making, exception handling, and handoffs that occur in actual business operations, then packages this data for training and evaluating AI models. Specific works directly with frontier labs and enterprises to identify, license, and structure operational data that improves agent reliability in specific domains. The company also operates a referral program that incentivizes introductions to companies with valuable data, paying up to $10K for completed purchases.
Target Audience
Primary customers are frontier AI labs and enterprises building domain-specific agents that need high-quality operational data for training and evaluation.
Features
- Structured capture of decisions, handoffs, exceptions, and judgment from real company workflows
- Data partnerships with companies that own valuable operational records, licensed for AI training and evaluation
- Private fit review process for companies interested in contributing data, requiring work email verification and software access details
- Referral program paying up to $10K for successful introductions that lead to completed data purchases
- Focus on domain-grounded agent development for frontier labs and enterprise AI teams
- Emphasis on connected records that show the full context of a task, including requests, decisions, corrections, and outcomes across multiple systems