RAG & Conversational AI
We build retrieval-augmented assistants for customers and for internal teams. They answer from your policies, manuals, tickets and product data, show where each answer came from, and only see the documents the person asking is allowed to see.
Sound familiar?
Customers ask the same things every day and wait hours for answers that already exist in your help pages.
Policies, SOPs and contracts are scattered across drives, and new joiners take months to find their way around.
An off-the-shelf bot gives confident wrong answers, and nobody can tell where they came from.
HR, finance or client documents must never reach the wrong person through a clever question.
What we deliver
Ingestion from SharePoint, Google Drive, Confluence, websites and databases, kept in sync automatically.
Chunking, hybrid search and re-ranking tuned on your own content and real questions.
Every answer links to the exact source, and the assistant says so when it does not know.
Permissions carried over from your systems, so people only get answers from documents they may open.
Website widget, WhatsApp, Microsoft Teams, Slack or inside your own application.
Answer accuracy, unanswered questions and content gaps, reviewed with your team every month.
How we work
We gather the sources and a few hundred real questions with their correct answers, the basis for every later measurement.
Content is cleaned, split and indexed with metadata and permissions, and refreshed on a schedule.
Retrieval and prompts are tuned until the agreed accuracy is reached on the test questions.
A controlled rollout with feedback buttons, escalation to people and a dashboard for unanswered questions.
New sources, new channels and better answers, driven by what users actually ask.
Technology
Related work
In-house product
A browser-based workspace in which engineers work alongside AI agents. The agents plan, write and test code under explicit rules, ask for approval before risky actions and keep a full record of what they did.
Questions
Retrieval-augmented generation: before answering, the assistant looks up the relevant passages in your documents and answers from them, so its answers are grounded and checkable.
We agree a test set of real questions at the start and do not launch until the agreed accuracy is reached. Accuracy is then reported monthly.
Yes. Modern models handle Hindi and most major Indian languages well, and we test them on your own questions in each language you need.
In your own cloud account where possible, in the region you choose. Nothing is shared with other clients.
It says so, and hands the conversation to a person or raises a ticket, with the conversation attached.
More services
A 30-minute call with an engineer who does this work every day. You will leave with a clear next step, whether or not we work together.
