Ask your data questions — in plain language

We build RAG systems and AI-guided analytics that let your team get trustworthy answers from your own data and documents — grounded in real sources, with tenant boundaries and role-aware access built in.

Retrieval-augmented generationData scienceData visualizationNatural-language analyticsKnowledge bases & searchRole-aware access

Answers you can trust, grounded in your data

Generic chatbots hallucinate because they're guessing. The fix is grounding — connecting the model to your actual data and documents so every answer is backed by a real source the user can check.

We design retrieval pipelines and AI analytics that respect the boundaries that matter: a user only ever sees what their role and tenant allow. That's what makes AI safe to put in front of real users, the way we built AI-guided analytics into Sahasra.

What this includes

Areas we go deep on

Retrieval-augmented generation (RAG)

Answers grounded in your documents and data, with citations — not the model guessing from memory.

Natural-language analytics

Let people ask their data questions in plain English and get correct, source-backed answers.

Knowledge bases & search

Make scattered documents searchable and usable — for your team or inside your product.

Role-aware & tenant-safe access

Access boundaries by design, so users only ever see the data they're allowed to.

Data science & visualization

Modeling, analysis, and dashboards that turn raw data into clear, decision-ready visuals — built on the same pipelines that power your RAG system.

How we build it

Production-first, not proof-of-concept

We ground every answer in real sources and design for citation, so users can trust and verify what they get.
Tenant isolation and role-aware permissions are enforced at the data layer — a non-negotiable for multi-tenant products.
We evaluate retrieval quality with real queries, so the system actually answers the questions people ask.
Analytics are delivered where people already work — inside the product or dashboard, not a separate tool.

Where it fits

Typical use cases

Internal knowledge

A grounded assistant over your SOPs, contracts, and docs — so answers don't live in one person's head.

In-product analytics

Let your customers query their own data in plain language, safely, inside your app.

Reporting & insights

Turn raw operational data into clear, role-appropriate dashboards and summaries.

Have a project in this space?

Tell us what you're trying to build. We'll give you an honest read on whether — and how — we can help, with a clear, fixed scope.

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