Private GPT · RAG · Team Search
Your policies, product docs and past tickets already hold the answers. We build a private assistant that searches them, answers in plain language and shows the source, so your team stops asking the same people the same questions.
Budget Snapshot
AI Knowledge Base
Guide ranges. Fixed quote after a 30-minute call.
In Short
A search and answer system that uses a language model on top of your own content. When someone asks a question, the assistant finds the most relevant passages from your documents, wikis or tickets and writes an answer with links to the sources. This approach, called retrieval-augmented generation or RAG, keeps answers grounded in your material. LitSpark builds these assistants in Bengaluru for internal teams and customer support.
Updated · LitSpark Solutions, Bengaluru
What We Build
HR, IT and policy answers for staff in Slack or Teams.
Customer answers from help docs, with handover to agents.
Product, pricing and case study answers for sales reps.
A branded assistant with your tone, rules and data.
Ask questions across contracts, manuals and reports.
New joiners get answers without waiting for a person.
How It Works
Agree sources, users and permissions.
Documents cleaned, split and indexed for search.
Answering, citations and guardrails set up.
Tested against real questions with accuracy scored.
Rolled out in Slack, Teams or your site, with analytics.
Tech Stack
Who Uses It
Faster, consistent answers to customers.
Fewer repeated tickets and messages.
Manuals and SOPs searchable on the shop floor.
Past proposals and research found in seconds.
Pricing
A one-time build plus hosting and model usage. Typical bands:
Private deployment in your own cloud is available.
| Package | Budget | Timeline |
|---|---|---|
| PilotOne team, a few sources, one channel. | ₹80,000–1.5 lakh | 2–4 weeks |
| Company RolloutPermissions, several sources and channels. | ₹2–6 lakh | 4–8 weeks |
| Running CostsHosting, models and updates by usage. | ₹10,000–50,000 / month | Ongoing |
Why LitSpark
People can check where an answer came from.
Staff only get answers from documents they're allowed to see.
We test against real questions before launch.
No training on your data and options to host in your cloud.
From the Blog
AI Automation6 min read
Explore how software teams are moving from AI code assistants to coding agents in 2026, and what engineering leaders should change in workflow, review, cost, and governance.
Read ArticleA pilot for one team usually costs ₹80,000–1.5 lakh. A company-wide rollout typically costs ₹2–6 lakh, plus hosting and model usage.
Similar idea, more control. We connect live sources, respect permissions, add citations and deploy where your team already works.
We limit answers to your documents, show sources and test accuracy. When it can't find an answer, it says so.
No. We use providers and settings that don't train on your data, and can host everything in your cloud.
Sources sync automatically, so new or edited documents are searchable within hours.
Let's talk
Share a sample folder. We'll set up a quick demo that answers from it.