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Read ArticleLLMs · RAG · AI Agents
Add AI that works on your own data: search that answers from your documents, assistants that draft and summarise, and agents that finish tasks inside your product.
What You Get
In Short
Mostly practical features inside software people already use: a search box that answers from manuals and tickets, a writing assistant inside a CRM, document extraction that fills forms, or an agent that books, updates and follows up on its own. As an AI development company in Bangalore, LitSpark builds these on top of proven models, tests them against real examples and keeps the cost per request visible.
Updated · LitSpark Solutions, Bengaluru
What We Build
Ask a question, get an answer from your documents with links to the exact source paragraph.
Pull fields from invoices, KYC forms and contracts into your system with confidence scores.
Draft replies, proposals and product descriptions in your tone, inside the tools your team uses.
Multi-step agents that call your APIs to book, update records and follow up, with human approval where it matters.
Tag tickets, leads and emails automatically and send them to the right person.
Call transcription, summaries and multilingual voice bots for Indian languages.
Tech Stack
We pick the model per task on accuracy, speed and cost, and can switch later without a rewrite.
How It Works
50–200 real questions or documents become the test set.
A working proof of concept on your data within weeks.
Score accuracy, fix retrieval and prompts until it passes your bar.
Build into your product with limits, logging and human review.
Track quality, cost and feedback after launch.
Pricing
Model usage is billed to your own account. These bands cover engineering. Projects start at ₹50,000, with a fixed quote after a short call.
Starting at ₹50,000
2–4 weeks
One use case on your data, with an accuracy report.
₹1.5–2.5 lakh
6–8 weeks
Integrated, guarded, monitored AI feature.
₹3.5 lakh+
1–2 months
Multi-step agents across several systems.
We estimate monthly model costs during the proof of concept.
Portfolio

Development · Manufacturing
A full-stack web application development project for an Image Access & Asset Management Platform by LitSpark Solutions, featuring role-based access control (RBAC), server-integrated media browsing, and custom download limits.
Built with: Node, React, PHP

Development · E Commerce
GasMan4U is an end-to-end gas delivery platform featuring a customer mobile app, public product website, delivery workflow, and administrative portal for managing products, orders, customers, stores, payments, and delivery personnel.
Built with: React, React Router, Tailwind CSS, shadcn/ui

Development · Electronics
A custom end-to-end ERP and inventory management platform for Tejas Info Solutions, covering procurement, inward processing, item-level stock tracking, sales, internal transfers, returns, invoicing, and operational reporting.
Built with: React 19, JavaScript, Tailwind CSS, React Router
Why LitSpark
You see accuracy on your own test set before anything reaches users.
Private deployments and providers that don't train on your data.
AI features built into real products with auth, logs and fallbacks.
Cost per request tracked, so usage growth never surprises you.
Where It Fits
Answer repeat questions instantly and hand complex ones to humans with context.
Call notes, CRM updates and follow-up drafts done automatically.
Invoice and document processing without manual data entry.
AI features that differentiate your product and justify a higher tier.
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Read ArticleProjects start at ₹50,000. Most fall between ₹1.5 and 2.5 lakh, and larger builds start at ₹3.5 lakh. You get a fixed quote after a short call.
We reduce that with retrieval from your documents, source citations and an accuracy test set. Where an error would be costly, a person approves the output before it's used.
No. We use enterprise APIs or private deployments that don't train on your data, and keep documents in your own cloud.
Ask for a proof of concept on your own data with a measured accuracy score, not a generic demo. Check that they can build the surrounding software, not just prompts.
A chatbot answers questions. An agent takes actions, like updating a CRM, booking a slot or sending a follow-up, by calling your systems with permissions you set.
Let's talk
Tell us the task you want AI to handle. We'll scope a two-to-four-week proof of concept.