Register with structure
Capture expertise, demographics, device fit, and availability through guided contributor registration.
One system for participant research.
Keep intake, screening, assignments, and study history connected from the first record forward.
Approve for fit, not just volume
Use screener logic, human review, eligibility tags, and internal notes before participants are routed into paid or high-sensitivity work.
Keep study progress visible
Assign, track, review, and close research work without letting operational context drift apart.
Build stronger cohorts.
Support reusable participant networks with clearer fit, memory, and invitation control.
Network design
Shape participant infrastructure with more memory and better fit.
Build reusable contributor systems that keep qualification signals, study history, and invitation context visible across future programs.
General pools
General participant pools
Operate broad programs for surveys, interviews, concept testing, and product feedback without losing participant context over time.
Expert cohorts
High-trust specialist groups
Support healthcare, policy, technical, financial, or industry-specific contributors with higher trust and qualification requirements.
Evaluation networks
Repeat-ready reviewer communities
Build repeat-ready networks for model evaluations, annotation programs, red-teaming, feedback missions, and ongoing reviewer panels.
Participants from a pool of trusted institutions.
Build research programs from contributors connected to universities, health systems, and globally recognized knowledge networks.
University of Oxford
Oxford
University of Cambridge
Cambridge
Imperial College London
Imperial
UCL
University College London
Google
Google Research
Uber
Uber Research
King's College London
King’s
University of Edinburgh
Edinburgh
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NHS
National Health Service
WHO
World Health Organization
Enter from the right side of the system.
ResearchAI serves both contributors and research operators with distinct paths, clearer permissions, and a cleaner starting point for every program.
Join the network
Create a contributor profile, share your background, and be considered for relevant studies, expert reviews, interviews, and evaluation programs.
Participant SignupEnter the workspace
Review applicants, manage cohorts, route study work, and keep research operations governed from one secure environment.
Researcher LoginRun studies from one record.
Keep invitations, notes, progress, and payout readiness inside the same operating flow.
See every study as part of one governed operating sequence.
Move from recruitment to completion with clearer operational visibility across cohorts, active work, and closeout states.
Model evaluation sprint
active
Bilingual reviewer network
Research interview round
scheduling
Decision-maker panel
Expert annotation batch
review
Clinical specialists
Concept feedback mission
paid
Repeat contributor cohort
See network health clearly.
Review quality, coverage, and study readiness without patching together separate tools.
Operational view
Use one layer to read participant strength, study readiness, and repeat-program resilience before issues compound.
Identify weaknesses in geography, language, devices, expertise, or availability before they create recruitment bottlenecks.
Use reviewer notes, prior outcomes, and completion history to improve study matching and contributor selection over time.
Build repeat-ready contributor networks instead of losing context after each interview cycle, task batch, or evaluation round.
Research signals from UK universities.
A curated view of AI research stories from leading UK schools and universities, with direct links to the original university sources.
Keep trust in the workflow.
Embed review gates, participant protections, and operational discipline directly into the platform.
Screen before assignment
Use internal review steps, fit scoring, and study-specific approval criteria before live work begins.
Keep operational context
Preserve participation history, trust notes, and repeat-cohort status across the network.
Reduce operational drift
Keep screening, notes, eligibility, and program readiness tied to the same record.