Structured contributor cohorts, rubric-calibrated quality, and near-zero churn across every modality.
High-signal preference data for reasoning-heavy models, built by contributors who can explain why a certain output is better.
Adversarial testing and benchmark evaluation across real-world scenarios, by contributors who ship prod daily.
Access prod-grade data across 22+ major Indic languages, for BFSI and enterprise-grade use cases.
Build agentic systems with multi-step workflows, long-context reasoning, and high accuracy.
Ensure guardrails across adversarial prompts, harm classification, and model alignment.
From best-in-class builders that understand why one code path is safer, not preference voting from people who can't even grasp the code.
Clear rubrics and quality bars set before projects begin.
Contributors aligned to your task, domain, and benchmarks.
Outputs reviewed, scored, and refined in structured loops.
Benchmarked data consistent across prod cycles.
Trusted by global teams operating in high-stakes environments.
Structured information security across all contributor operations.
Audit-ready pipelines for BFSI, healthcare, legal, and government AI.
In-house contributors. India-based ops. Your data stays yours.
Evaluate quality against your own benchmarks, and move forward when it meets your bar.