2une.ai helps AI labs and enterprises create, evaluate, license, and align high-quality datasets through India's largest talent cloud, expert reviewers, and proprietary multimodal data assets.
Frontier models are no longer limited only by compute. They are limited by the quality of human feedback, expert reasoning, domain evaluation, and trustworthy data pipelines. Generic annotation workflows aren't enough — AI labs need managed human-compute infrastructure that combines scale, expertise, quality control, and proprietary data access.
One operating model spanning the full lifecycle of a frontier model — from cold-start data to deployed alignment.
Expert-generated datasets, reasoning traces, domain problems, and multimodal tasks.
Model evaluation, hallucination checks, factuality review, and benchmark creation.
RLHF, preference ranking, reward signal data, red teaming, and safety review.
Frontier capability gains aren't uniform — they live in specific domains where reasoning, language, regulation, or grounding make off-the-shelf data fail. These are where 2une.ai concentrates.
Built on PhysicsWallah's learning ecosystem, 2une.ai gives partners access to structured reasoning, studio-grade educational video, multilingual voice, and expert-generated domain content — assembled over years, not scraped overnight.
2une.ai can mobilize a tiered human network based on task complexity — from large-scale annotation and linguistic review to reasoning-heavy evaluation, expert validation, and ground-truth creation. One stack, every layer routable.
License existing multimodal datasets across reasoning, video, voice, and language.
Run custom annotation, evaluation, RLHF, red teaming, data creation, or validation workflows.
Build localized benchmarks, expert evaluation systems, and domain-specific data engines.