How MetaAnalysis AI works
Two ways to work with MetaAnalysis: source vetted experts through Hire Hub, or build and ship AI agents yourself with AI Studio.
Your path from Medha to high-trust opportunities
Create your profile
Add your professional headline, skills, and choose your primary AI domain (NLP, Computer Vision, MLOps, etc.). Takes under 5 minutes.
Complete Medha interview
Medha runs a live technical interview in your chosen domain, evaluating depth, reasoning, and communication clarity.
Pass 3 micro-tasks
Solve a coding challenge, a reasoning task, and a debugging problem. These contribute 30% to your Expert Index Score and prove hands-on ability.
Get your Expert Index Score
Your composite score (0-100) is calculated from interview (40%), resume NLP (30%), and micro-tasks (30%). Updated as you complete more work.
Go live, get matched, and get paid
Set availability and rates. MetaMatch routes relevant opportunities while AI Studio programs generate ongoing expert workstreams.
Typical expert timeline
Hire talent with MetaMatch + Medha
Submit the role or task
Define scope, budget, required skills, and timeline for the work you want delivered.
MetaMatch ranks candidates
MetaMatch builds a shortlist from verified experts based on capability fit and live availability.
Medha verifies technical depth
Use Medha interview signals to validate reasoning and communication before assignment.
Contract and kickoff
Lock terms, start work, and track milestones with QA checkpoints inside the platform.
Approve, pay, and repeat
Approve deliverables and release escrowed payout with full traceability and audit logs.
Typical client timeline
Two doors, one trust infrastructure
Hire Hub and AI Studio run on the same underlying signal: every expert vetted through Medha and matched through MetaMatch feeds the delivery data that also improves AI Studio's agents.
Hire Hub
Scoped requests are matched by MetaMatch and staffed with experts verified through Medha's structured AI interviews.
AI Studio
Runs execution, testing, and feedback data loops that improve agent quality over time.
How we guarantee deliverable quality
Automated QA scoring
Every deliverable is scored automatically across correctness, completeness, code quality, and adherence to requirements.
Peer review
High-score experts review each other's work anonymously, catching issues that automated scoring misses.
SLA monitoring
All tasks have defined SLAs. MetaMatch monitors progress and alerts both parties before deadlines are missed.
Client final approval
No payment is released without explicit client approval. You always have the final say before funds move.