Terac

Name: Terac
Brand: Terac

AI Native

Terac is a two-sided expert marketplace that connects research organizations and AI companies with professionals for interviews, surveys, specialized tasks, and AI-output evaluation.

Est 2025|Valuation $30.5M|Raised $9M|18 Ref Customers

LinkedIn 528|Web traffic 345K|FTEs 9

MarketsAI-Powered Qualitative Research v2 Canary Research Firms Expert Networks

01Competitive Landscape

Comparison of three alternatives

Published prices and fee structures vary. Recruitment charges and participant compensation are separated where disclosed; these are not interchangeable monthly SaaS subscriptions. | Aspect | Terac | Respondent | User Interviews | Prolific | |---|---|---|---|---| | Starting price | Expert payout + undisclosed platform fee | Published per-session PAYG pricing with separate incentives; rates vary by consumer vs. business segments | Base PAYG per-session pricing; enterprise targeting and incentives billed separately | Participant rewards plus a notable corporate platform fee | | Best for | Specialist research and expert AI tasks | Professional interviews and integrated research delivery | Research recruitment and first-party panel operations | Research studies and structured human-data collection | | Documented strength | Unified expert screening, tasks, review, and payouts | AI moderation and synthesis included in session price | Recruitment plus Research Hub panel-management capabilities | Transparent fee structure; academic/nonprofit discount | | Principal trade-off | Opaque fee rate and thin independent buyer evidence | Recruitment fee is additional to incentives | Targeting and enterprise add-ons increase cost | Specialist compensation and managed work can exceed basic estimates | Commercial and capability details come from each vendor’s own pages; this is not a head-to-head performance test. User Interviews’ extracted page contains multiple targeting-price variants, so the exact B2B quote should be confirmed.

Where alternatives excel

- **Respondent:** clearer published recruitment prices and an explicitly bundled AI moderator, recordings, synthesis, and reporting. Terac must demonstrate a better qualified-complete cost or access advantage to justify selection. Respondent’s published capabilities also show that AI screening/moderation and programmatic access are not unique to Terac. - **User Interviews:** more explicitly developed first-party panel workflows, including segmentation, invitation rules, and panel permissions. This makes it worth prioritizing when managing an existing customer research panel matters more than sourcing external experts. - **Prolific:** clearer standard fees and an explicit academic/nonprofit discount. Its documentation also provides small payments for participants screened out through custom screening—a contributor-experience distinction from Terac’s unpaid screen-outs. - **Mercor:** a focused alternative for professional AI work. Its expert page advertises domain-specific contracts and regular payouts. Higher advertised rates are not evidence that the same person would receive more work or better effective earnings than on Terac. - **micro1:** a relevant shortlist option for buyers seeking broader frontier-model training and agent-evaluation services. Public positioning alone is insufficient to establish superiority in quality, cost, or delivery.

Adoption and market-share evidence

No credible Terac market-share estimate or independently validated customer-growth series was found. Its registered-expert total cannot establish share of research spending, active specialists, or AI-training revenue. Competitor panel and workforce counts also use different definitions and should not be ranked without normalization.

01Competitive Landscape

Comparison of three alternatives

Published prices and fee structures vary. Recruitment charges and participant compensation are separated where disclosed; these are not interchangeable monthly SaaS subscriptions.

Aspect	Terac	Respondent	User Interviews	Prolific
Starting price	Expert payout + undisclosed platform fee	Published per-session PAYG pricing with separate incentives; rates vary by consumer vs. business segments	Base PAYG per-session pricing; enterprise targeting and incentives billed separately	Participant rewards plus a notable corporate platform fee
Best for	Specialist research and expert AI tasks	Professional interviews and integrated research delivery	Research recruitment and first-party panel operations	Research studies and structured human-data collection
Documented strength	Unified expert screening, tasks, review, and payouts	AI moderation and synthesis included in session price	Recruitment plus Research Hub panel-management capabilities	Transparent fee structure; academic/nonprofit discount
Principal trade-off	Opaque fee rate and thin independent buyer evidence	Recruitment fee is additional to incentives	Targeting and enterprise add-ons increase cost	Specialist compensation and managed work can exceed basic estimates

Commercial and capability details come from each vendor’s own pages; this is not a head-to-head performance test. User Interviews’ extracted page contains multiple targeting-price variants, so the exact B2B quote should be confirmed.

Where alternatives excel

Respondent: clearer published recruitment prices and an explicitly bundled AI moderator, recordings, synthesis, and reporting. Terac must demonstrate a better qualified-complete cost or access advantage to justify selection. Respondent’s published capabilities also show that AI screening/moderation and programmatic access are not unique to Terac.
User Interviews: more explicitly developed first-party panel workflows, including segmentation, invitation rules, and panel permissions. This makes it worth prioritizing when managing an existing customer research panel matters more than sourcing external experts.
Prolific: clearer standard fees and an explicit academic/nonprofit discount. Its documentation also provides small payments for participants screened out through custom screening—a contributor-experience distinction from Terac’s unpaid screen-outs.
Mercor: a focused alternative for professional AI work. Its expert page advertises domain-specific contracts and regular payouts. Higher advertised rates are not evidence that the same person would receive more work or better effective earnings than on Terac.
micro1: a relevant shortlist option for buyers seeking broader frontier-model training and agent-evaluation services. Public positioning alone is insufficient to establish superiority in quality, cost, or delivery.