Technatives
Technatives builds the human layer behind frontier AI by sourcing verified domain experts and creating high-quality training datasets for AI research. The company covers hard-to-staff fields including law, medicine, finance, voice and speech, video, and design, supporting use cases from RLHF to evaluation benchmarks. Services include expert sourcing for existing pipelines and end-to-end dataset creation with quality validation.
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Frontier AI labs need high-quality, domain-specific training data and expert annotations to improve model reasoning, judgment, and safety. Identifying and vetting credentialed experts across regulated or specialized fields—such as medicine, law, and finance—is slow and difficult, creating a bottleneck in the AI training pipeline.
Solution
Human Layer builds the human layer behind frontier AI by sourcing verified domain experts and assembling high-quality datasets for AI training and research. The company offers two core services: expert sourcing, where clients with an existing pipeline receive pre-vetted practitioners ready to work, and dataset creation, where Human Layer designs the expert pipeline, structures the data, runs quality validation, and delivers a complete dataset. They cover domains with unique constraints—law, medicine, finance, voice and speech, video, and design—and support use cases including RLHF and preference data, complex reasoning annotation, multilingual corpora, and evaluation benchmarks.
Target Audience
Frontier AI labs and research teams that need a defined training infrastructure and require hard-to-find, credentialed domain experts or complete dataset builds for AI training and evaluation.
Features
- Expert sourcing service delivers vetted practitioners into a client's existing training pipeline
- End-to-end dataset creation: from expert pipeline design through structured, validated delivery
- Verified domain specialists including licensed attorneys, practicing clinicians, CFA charterholders, voice actors, and senior designers
- Supports RLHF and preference data, complex reasoning, edge-case annotation, and evaluation benchmarks
- Multilingual datasets with native-language specialists in medical, legal, financial, and design contexts
- Voice, speech, and contextual video corpora covering prosody, accent diversity, and temporal reasoning