A founder-led company
built for AI teams
We help AI teams improve model quality through structured human feedback systems — evaluation, RLHF, annotation, and QA operations built for the way modern AI teams actually work.
Make AI models better through structured human intelligence.
We believe AI quality is fundamentally a human problem. The best models are trained, evaluated, and improved with structured, expert human input — not volume alone.
Process-first. Quality-obsessed. Founder-accountable.
Every engagement starts with a pilot. Every batch is validated against gold sets. Every delivery comes with a QA report. No black boxes, no hollow metrics.
How we operate.
Accuracy Before Volume
We would rather deliver fewer, higher-quality labels than large batches of mediocre data.
Transparency by Default
Clients receive QA reports, IAA metrics, and reviewer notes on every single delivery.
Founder-Led Delivery
Leadership is directly involved in quality standards and client engagements — always.
Pilot-First Philosophy
We earn trust through results before production commitments. Every engagement starts with a pilot.
The people behind YUG AI.
Krishna Samrat Bajpai
Co-Founder
Overseeing product vision, client relationships, and delivery standards.
Priyesh Singh
Co-Founder
Driving AI strategy, annotation operations, and data pipeline delivery.
Abhishek Singh
Co-Founder
Leading engineering, QA systems, and technical delivery infrastructure.
Shreshth Bajpai
Co-Founder
Building partnerships and enterprise client development globally.
Work with a team that takes quality seriously.
Start with a free pilot on your actual data. No commitment required.