Treat human evaluation as an engineering discipline
Calibrated, measured, audited, delivered under contract. The industry's constraint has moved from data volume to judgment quality, and the supply side of judgment is still dominated by models built for volume.
1.3×
Calibrated bench
Held against deployed demand
100%
KYC verified
Before task access is granted
To deliver the world’s most reliable human intelligence for AI development. By recruiting India’s best technical talent, training it to frontier-lab standards, and wrapping it in quality systems that make excellence repeatable.
To become India’s most trusted AI Operations company. The execution partner frontier labs rely on when the quality of human judgment determines the quality of their models.
Most trusted
Not largest, not cheapest. Trust is the purchasing criterion in this market. Clients hand over confidential model outputs, unreleased benchmarks and safety-sensitive data. Trust compounds; scale follows it.
AI Operations company
A category deliberately broader than data labelling. We operate workflows: evaluation pipelines, RLHF programs, benchmark harnesses, QA systems. Operations remains a durable business even as raw annotation commoditises.
Execution partner
The relationship is institutional. We sign MSAs, carry SLAs and own outcomes. The opposite of a talent marketplace that transfers risk back to the client.
Treat human evaluation as an engineering discipline.
Calibrated. Measured. Audited. Delivered under contract. The industry’s constraint has moved from data volume to judgment quality, and the supply side of judgment is still dominated by models built for volume.
- 01
Quality over volume
We never accept a project the team cannot staff to a ≥95% acceptance rate. Work that forces quality dilution is declined, including work we want.
- 02
Contributors as professionals
Paid training, transparent pay, and a real career ladder from contributor to reviewer to lead. Low churn is a quality strategy, not an HR nicety.
- 03
Radical measurability
Every deliverable ships with quality evidence: acceptance rates, inter-rater agreement, audit trails. Clients never wonder what they received.
- 04
Confidentiality by default
Every engagement is treated as if it covers unreleased model data, because it usually does.
A delivery pyramid, not a headcount pile.
Every layer exists to protect quality at the layer below it. The reviewer ratios are structural constants that hold at any scale.
Leadership
Founder & CEO
Pipeline, pricing, partnerships, capital
New MRR · client count
Co-Founder & COO
Delivery, QA system, hiring, contributor experience
Acceptance rate · SLA compliance
Delivery management
Head of Delivery
SLAs across programs
On-time delivery · utilisation
Head of Quality
Metrics system and audits
Escaped-defect rate · QA accuracy
Project Lead
One client program end to end
Program acceptance rate
Quality line
Senior Reviewer
QA gate, rubric maintenance, coaching
Escaped defects · IAA
Reviewer
First-pass review of contributor output
Review accuracy vs audit
Delivery base
Contributor
Task execution to rubric
Personal acceptance rate
Expert bench
On-call domain specialists
Domain accuracy
For AI labs and data platforms that need expert human judgment at scale, Newbieget Labs is the managed AI-operations partner that delivers complete, quality-assured evaluation and training-data projects, combining India’s deepest technical talent with frontier-lab QA discipline.
Not a marketplace
No self-serve gig pool. Every contributor is sourced, tested, trained, calibrated and managed under a named lead.
Not a body shop
We sell accountable deliverables under SLAs, not resumes at an hourly markup. Scope, acceptance criteria and rework terms are contractual.
Not a model company
We build no competing IP. There is no scenario where your unreleased capabilities become our product.