Where the next version of StudAI One gets built.
Labs is the research and experimentation division of StudAI One. We work on the hard problems underneath our products — assessment validity, AI evaluation, multilingual AI, and the science of human–AI collaboration — so that our products are built on substance, not assumption.
How AI can reliably assess human skill, judgment, and character — and how that assessment can be made verifiable, explainable, and fair. The research that powers Prism.
How AI changes teaching, learning, and career guidance in the specific context of India's education system — coverage, language diversity, access gaps, and institutional constraints.
Where human judgment is still irreplaceable, where AI augments it, and how organisations should think about the boundary — practically, not philosophically.
What it means to be AI-ready as an individual, as a team, and as an organisation — and how to measure it reliably. The research that shapes Elev8.
The specific challenges small and mid-market businesses face when adopting AI — trust, cost, integration, and change management — and how to solve them at scale.
How Orin's reasoning model can be made more transparent — so users understand not just the output but the inference path.
Running Prism assessments in Hindi, Tamil, and Telugu — measuring validity and reliability across language contexts.
A governance framework for AI agents that take autonomous actions in business systems — what should be logged, auditable, and reversible.
Following cohorts through Career → Prism → Hire to measure the actual career outcome improvement the ecosystem produces.
What Labs is not.
Labs is not a stealth product incubator. It is not a list of features in development. It is the work that makes our existing products more credible — and that earns us the right to build the next ones.
If you are a researcher, institution, or practitioner working in areas that overlap with ours — skills assessment, AI in education, AI evaluation methodologies, SMB AI adoption — we would like to hear from you.
Follow the work.
Insights, papers, and experiment logs — published as we learn.