The experts your models can't train without.
We source verified domain experts and build high-quality datasets for AI training and research — in the fields that matter most and are hardest to staff.
Let's talk →Whether you need the right experts or the right dataset — or both — we structure our work around what your team actually needs.
Your team has the training infrastructure. What you need are practitioners with the right credentials and judgment. We identify, vet, and deliver them — ready to work within your existing pipeline.
Teams with a defined pipeline who need high-quality domain experts they can't find or vet internally at speed.
You share the research goal or annotation spec. We design the expert pipeline, source the right practitioners, structure the data, run quality validation, and deliver a dataset ready for training.
Research teams who need a dataset built end-to-end — from expert sourcing through structured, validated delivery.
Each domain has unique constraints — regulatory, linguistic, perceptual, or cultural. We've built expert pipelines across all of them.
Licensed attorneys and compliance specialists across multiple jurisdictions. Trained on ambiguity, not just black-letter rules.
Practicing clinicians, radiologists, and medical researchers. Diagnostic reasoning, clinical notes, and literature interpretation.
CFA charterholders, risk analysts, and financial advisors. Investment reasoning, regulatory filings, quantitative judgment.
Voice actors, linguists, and phonetics specialists. Prosody, accent diversity, speaker profiling, and audio-specific annotation.
Scene understanding, temporal reasoning, and multimodal grounding. For models that need to interpret context, not just classify frames.
Senior designers who evaluate visual quality, design intent, and workflow logic — not just label pixels.
Most vendors work at the volume end of the market — simple tasks, large crowds. We operate at the other end: complex domains, verified expertise, and tasks that require genuine professional judgment.
Our clients include some of the largest AI labs in the world. We don't share names — but we're happy to talk through what we've done.
Let's talk →"We needed analysts who could show their work — not just arrive at the right answer, but reason through it the way a senior professional would. Scenario assumptions, formula logic, the judgment calls that don't show up in any textbook. TechNatives sourced exactly that, at a scale and diversity we couldn't have reached on our own."
"We didn't need a dataset — we needed the right clinicians, fast. TechNatives sourced practicing physicians with the exact specialization we required and had them onboarded into our pipeline within two weeks. The quality of their reasoning traces was immediately visible in eval."
We vet for actual practice — licensed professionals with real field experience, not proxy annotators.
Regulated industries, subjective judgment tasks, multilingual edge cases, and multimodal complexity most vendors won't touch.
Native-language experts with domain credentials across time zones — not translation layers applied after the fact.
NDA-ready from day one. We've worked on pre-release projects and understand what confidentiality means at this level.
Every engagement starts with understanding the task deeply — then finding the exact expertise it demands.
We learn the domain, annotation schema, edge cases, and quality bar. Hard questions upfront — no surprises downstream.
We draw from our verified network or recruit specifically for your need. Credential depth matched to task complexity.
We build the annotation pipeline, run calibration rounds, and apply quality checks before delivery.
We stay close through review cycles. If the task evolves — and it usually does — we adapt without starting over.
The harder the domain, the more we're in our element. Tell us what you're building.
Let's talk →Or email us at [email protected]