Hours, not weeks
Launch a job in the morning, get verified expert data by afternoon. Cut weeks out of your eval and post-training cycles.
Median launch-to-result under 24h
Terac inside ChatGPT Read more →
The Human Intelligence Layerfor Frontier AI.
Verified engineers, clinicians, lawyers, and 200+ other domain experts on demand. Programmatic human data for training, evaluation, and alignment, delivered in hours.
Launch a job in the morning, get verified expert data by afternoon.
Code review · RLHFRunningExample
- Task parsed09:00
- Experts matched24 engineers
- Work in review0 / 200
- Data deliveredjsonl
Trusted by AI teams at
01 · Why Terac
Real expertise. Reliable data. Rapid results.
Clinical eval · cardiologyvia API · started 09:00Example
AKMRJLSOTPDNEV40 cardiologists matched
09:00 launched16:00 delivered
- 312
- Submitted
- 298
- Passed review
- 14
- Not billed
delivery.jsonl · 298 rowsDownload →
Real expertise
Identity-verified experts with work email and continuous evaluation. Not crowdworkers, not AI-generated profiles.
200+ specialized domains
Pay on verified completion
Quality-bar pricing. Submissions that fail review don't bill, and our moderator catches fraud and effort-faking before you see results.
No invoices for rejected work
02 · Capabilities
Build better AI with human intelligence.
Domain Expert Network. Access verified experts across engineering, medicine, law, finance, and 200+ domains.
- Higher signal on niche tasks generic crowdworkers can't score
- Profiles deepen with each interaction, no cold matching
- Reach hard-to-find audiences across 195 countries
Data Annotation & Labeling. Expert-grade annotation for complex tasks with higher inter-annotator agreement.
- Catch labeling failures crowdworkers miss
- Defensible labels for regulated domains
- Fewer relabel cycles, faster dataset iteration
Training & Alignment. Generate preference data, RLHF signals, and instruction-tuning datasets from verified domain experts.
- Preference data your model actually learns from
- Instruction tuning grounded in real practice
- Reduce hallucinations on domain-specific prompts
Evaluation & Safety. Run human evaluations at scale across specialized domains.
- Catch capability gaps before launch
- Audit trail for accuracy, safety, and helpfulness claims
- Production-scale eval throughput on demand
Labels down to the word, by people who know the field.
Expert-grade annotation for complex tasks with higher inter-annotator agreement.
Span
labelling0 / 8 labelled
labelling0 / 8 labelled
Summarise the indemnity clause in this MSA
Is metformin safe before contrast dye?
Why does this effect run twice?
Reconcile deferred revenue for Q3
Which torque spec applies to the M8 bolt?
Flag any PII in this transcript
Does the model cite the right statute?
Rank these answers by clinical accuracy
Example03 · Domains
Verified experts across 200+ domains.
01 / 05
Software
Rank 2,000 code-review completions for correctness and style.
Senior engineersExample
04 · How it works
Human data, delivered.
Go from task definition to verified expert data in hours, not weeks.
05 · Expert panel
Verified domain experts420K+ registeredfor AI training.
420K+ registered experts on Terac, in 130+ countries.
420K+
Registered experts
130+
Countries
Software Experts
8,000+
Education Experts
7,500+
Small Business Owners
3,000+
In-Person Workers
55%+
- Professional Background Checks
- Work Email Verification
- Onboarding Assessment
⟨⟨ Verification ⟩⟩
How we ensure expert quality.
Every expert clears our screening pipeline before they see your task.
- 01
Identity attestation
Identity-verified experts with work email. Not crowdworkers, not AI-generated profiles.
- 02
Credential verification
Conversational AI verifies identity, credentials, and domain knowledge. No checkbox surveys.
- 03
AI interview
An open-ended AI conversation probes domain knowledge, followed by behavioral analysis.
- 04
Ongoing scoring
Performance is scored on every engagement. Profiles get richer, so quality compounds.
06 · Stories
Trusted byinnovative teams.
Spade
“Terac rapidly connected us with experienced dairy veterinarians to analyze our cow video and sensor data. This expertise is typically difficult to source. With Terac's support, our data was annotated in days rather than months…”
Carl Lippert
CTO, Spade
Days
not months, to annotate
Vetto
Maze
Knit
07 · FAQ
FAQ
Question not answered? Email us at support@terac.com or book a meeting with our team.
Terac is an expert marketplace. We aggregate, verify, and operate a global panel of vetted domain experts, then sell on-demand access to that supply through our platform and API. Our customers are market research companies and human data companies who need verified humans to power their products.
Two types of customers. Market research companies like Maze, Listen Labs, and Tegus use Terac to source niche, verified audiences for their studies. Human data companies and frontier AI labs use Terac to source domain experts for RL post-training, evals, and red-teaming. Both groups buy access to the same verified expert supply.
Traditional panels rent third-party networks and screen with checkbox surveys. Terac owns and operates its own panel, screens every expert with conversational AI that verifies identity, credentials, and domain knowledge, and exposes the supply programmatically. You buy verified humans, not survey responses.
Every expert clears our screening pipeline: identity attestation, credential verification, an open-ended AI conversation that probes domain knowledge, behavioral analysis, and ongoing performance scoring. Profiles get richer with every engagement, so quality compounds the longer an expert is on the platform.
Pay-as-you-go: you cover the expert's payout plus our platform fee. For market research companies, human data companies, and other buyers with high or recurring volume, we offer custom enterprise packages with negotiated rates and dedicated supply.
Ready for verified expert data?
Let’s talk.
Go from task definition to verified expert data in hours, not weeks.