Assistants your team can trust

We build AI assistants that answer from your material, respect who is asking, and get tested before anyone depends on them — for classrooms, teams, and operations.

Who this is for

  • Education operators needing safe, curriculum-grounded tutors
  • Operations teams drowning in repeat questions
  • Founders adding AI to an existing product

Problems it solves

  • Generic chatbot wrappers with no grounding in company material
  • No role awareness — every user sees everything
  • AI features launched without testing
How it gets built

01

Anchor to material

Curriculum and documents become the source of truth — the assistant retrieves before it speaks.

02

Bound by role

Students, teachers and admins each see their own scope, enforced in the data layer.

03

Prove before launch

Smoke-tested flows and evaluation loops. Nothing ships on hope.

Proof, not promises

Stack — RAG pipelines / LLM integrations / Supabase auth + RLS / Vitest + smoke tests

Honest answers

Both, with a bias toward grounded systems: retrieval pipelines and assistants wired to your data, not generic chatbot wrappers.

Related

AI development → / RAG systems →

Start a project →

Delhi — India — working worldwide