DevTools · AI & ML · 50–200 · Europe #b020_19

Context

We run a platform that connects researchers and AI developers with a vetted global pool of people who complete studies and data tasks.

Industry

DevTools & Software · AI & ML

Size

50–200 employees

Region

Europe

Tools budget

$1K–5K per month

Needs

Fraud prevention. Fraudulent and duplicate accounts try to earn rewards on our platform, and catching them still relies on manual investigation.

Today: integrity analysts investigate duplicate accounts by hand, feeding reviewed cases back into detection models · Urgency: now

KYC & customer onboarding. We need to verify that participants claiming specialist expertise really are who they say they are.

Today: applied scientists work on verifying claimed expertise of participants before study access · Urgency: now

Data quality & observability. Customers flag poor-quality responses after the fact, and we want to detect them before data is delivered.

Today: quality analysts and engineers check researcher reports to catch weak responses before delivery · Urgency: now

Who decides

head of operations · team trial

Expects from suppliers

Identity checks that work across many countries; Signals we can feed into our own models; Low friction for honest participants; Clear explanations behind each fraud decision

Not a fit

Checks that block large shares of genuine users; Black-box scores without reasons; Tools restricted to one country

Stack

data warehouse: cloud, cloud: AWS-class hyperscaler, ticketing / issue tracker, LLM APIs in production

Buying triggers

scaling transaction volume, AI adoption push