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Read ArticleLLMs · RAG · AI Agents
AI Development Company in Bangalore
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
- Grounded on your data, with sources
- Accuracy measured before launch
- Works with OpenAI, Claude or open models
- Cost per request tracked
- LLMs
- Chatbots
- Workflows
In Short
What Does an AI Development Company Build?
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
- Proof of concept
- 2–4 weeks
- Models
- OpenAI, Claude, Llama, Gemini
- Data
- Stays in your cloud
- Quality
- Eval set before launch
What We Build
AI Features Your Users Will Actually Use.
RAG Search and Q&A
Ask a question, get an answer from your documents with links to the exact source paragraph.
Document Extraction
Pull fields from invoices, KYC forms and contracts into your system with confidence scores.
AI Writing Assistants
Draft replies, proposals and product descriptions in your tone, inside the tools your team uses.
AI Agents
Multi-step agents that call your APIs to book, update records and follow up, with human approval where it matters.
Classification and Routing
Tag tickets, leads and emails automatically and send them to the right person.
Voice and Speech
Call transcription, summaries and multilingual voice bots for Indian languages.
Tech Stack
Models and Tools We Use.
We pick the model per task on accuracy, speed and cost, and can switch later without a rewrite.
- Models
- OpenAI GPTAnthropic ClaudeGeminiLlama
- Retrieval
- pgvectorPineconeElasticsearch
- Frameworks
- LangChainLlamaIndexPythonNode.js
- Ops
- LangfuseEvalsAWS BedrockAzure OpenAI
How It Works
How We Ship AI Safely.
- 01
Collect Real Examples
50–200 real questions or documents become the test set.
- 02
Prototype Fast
A working proof of concept on your data within weeks.
- 03
Measure and Improve
Score accuracy, fix retrieval and prompts until it passes your bar.
- 04
Integrate and Guard
Build into your product with limits, logging and human review.
- 05
Monitor in Production
Track quality, cost and feedback after launch.
Pricing
AI Development Budgets.
Model usage is billed to your own account. These bands cover engineering.
Proof of Concept
₹1.5–3 lakh
2–4 weeks
One use case on your data, with an accuracy report.
Production Feature
₹4–10 lakh
6–10 weeks
Integrated, guarded, monitored AI feature.
Agent Platform
₹10 lakh+
3–5 months
Multi-step agents across several systems.
We estimate monthly model costs during the proof of concept.
Portfolio
AI and Automation Projects.
Development · Electronics
TejasInfo - Inventory Management Solution
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.
- Web Development
- Custom Development
- Hardware Development
Built with: React 19, JavaScript, Tailwind CSS, React Router
3 MonthsVisit Live Site
Development · E Commerce
Gasman4U - Small ECommerce Solution
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.
- Mobile App Development
- Web Development
Built with: React, React Router, Tailwind CSS, shadcn/ui
1 MonthVisit Live Site
Development · Healthcare
Rehoboth Website & Appointment Booking Portal
Designed and developed a comprehensive healthcare platform for Rehoboth that combines a modern corporate website with an appointment booking system, electronic medical records, patient management, billing, and insurance claim workflows. The solution streamlines clinic operations while providing patients with a seamless digital experience.
- Custom Development
- Mobile App Development
Built with: ReactJS, Next.js, Laravel, PHP
6 MonthsVisit Live Site
Why LitSpark
Why Build AI With LitSpark.
Measured, Not Demoed
You see accuracy on your own test set before anything reaches users.
Your Data Stays Yours
Private deployments and providers that don't train on your data.
Software Engineers First
AI features built into real products with auth, logs and fallbacks.
Cost Visibility
Cost per request tracked, so usage growth never surprises you.
Ask This Before Any AI Project.
- What task will AI remove, and how often?
- Do we have real examples to test with?
- What accuracy is good enough?
- Where must our data stay?
- When should a human approve?
- What will it cost per month at our volume?
Where It Fits
AI That Removes Real Work.
Customer Support
Answer repeat questions instantly and hand complex ones to humans with context.
Sales Teams
Call notes, CRM updates and follow-up drafts done automatically.
Finance and Ops
Invoice and document processing without manual data entry.
SaaS Products
AI features that differentiate your product and justify a higher tier.
From the Blog
Practical AI Guides.
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How much does AI development cost?
A proof of concept on your own data typically costs ₹1.5–3 lakh. Production features start around ₹4 lakh. Model usage is billed separately to your account, and we estimate it upfront.
Will the AI make things up?
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.
Is our data used to train public models?
No. We use enterprise APIs or private deployments that don't train on your data, and keep documents in your own cloud.
How do I pick an AI development company in Bangalore?
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.
What is the difference between a chatbot and an AI agent?
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
Test AI on Your Own Data.
Tell us the task you want AI to handle. We'll scope a two-to-four-week proof of concept.
- Avg. response
- 24h
- Initial consult
- Free
- Satisfaction
- 100%