AI development · LLM apps · AI agents · Automation
AI Development Company in India for LLM Apps, Agents & Automation
Our team builds AI into products and business workflows every day, and SEORCE, led by our founder Anurag Kamboj, is itself an AI-native platform. We help you find the tasks where AI saves time or makes money, build them properly with guardrails and evaluation, and tell you plainly where AI is the wrong tool.
- AI projects from ₹99,999
- A team of 10 developers, with AI work led by the CTO of SEORCE
- Hands-on with OpenAI, Claude, Gemini and open-source models
- Built on your data, with access control and audit logs
- Clients served
- 100+Web & app development
- Mobile apps
- 20+Built and deployed end to end
- Ecommerce stores
- 10+Shopify, WordPress & custom
- In-house experts
- 1810 developers · 8 SEO experts
Quick answer
Anurag Kamboj's team is an AI development company in India that builds practical LLM applications: chatbots that answer from your own documents (RAG), AI agents that complete multi-step tasks, workflow automation for repetitive text-heavy work, and AI features inside existing products. The team is led by Anurag Kamboj, CTO of SEORCE, whose automated feed finds trending topics and publishes full articles without manual writing. AI projects start at ₹99,999. Each project begins with one use case that is frequent and costly, then a pilot on your real data in 2 to 4 weeks, measured for accuracy, speed and cost per task against the current process. Production rollout adds access control, logging, fallbacks and cost limits. Where a simple rule or a search box would work better than AI, the team says so before you spend money.
What we do
AI development services we offer
Chatbots on your own data (RAG)
Assistants that answer from your documents, product catalogue, policies or knowledge base, with sources shown, so staff and customers can trust the answer.
AI agents
Agents that complete multi-step tasks: research a lead, draft a quote, update the CRM, or triage support tickets. A human approves the steps that matter.
Workflow automation
Remove copy-paste work: read invoices and purchase orders, extract data from PDFs and emails, classify enquiries and route them to the right person.
AI features in your product
Add AI search, summaries, recommendations or content generation to an existing SaaS or app without rebuilding it.
AI SaaS products
Full AI-first products, from prototype to paying customers. It is the same path our founder has taken with SEORCE.
Learn more 06AI content and SEO systems
Programmatic page generation and content pipelines with quality checks, built on what we learnt at Jarbug.
Learn moreWhere AI helps, and where it doesn’t
AI is very good at reading, summarising, classifying, drafting and searching through large amounts of text. If someone in your team spends hours a day doing that, AI can usually take most of the load.
It is not good at being right every time without checks, doing exact calculations, or making decisions that carry legal or financial risk on its own. For those tasks we design a workflow where AI prepares the work and a person approves it.
Every project starts with a small pilot on your real data, measured against how the task is done today. If the pilot does not beat the baseline, we stop there, and you have spent a fraction of a full build to find out.
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AI development or AI integration: what do you need?
Most businesses need integration first. Building a full AI product only makes sense when AI is the product.
| AI integration | AI product development | |
|---|---|---|
| What it is | Adding AI to software and workflows you already use | Building new software where AI is the core feature |
| Examples | A chatbot on your website, invoice data extraction, AI search in your app | An AI SaaS product, an AI agent platform, an automated publishing engine |
| Typical starting point | A 2 to 4 week pilot on one use case | Discovery and an MVP |
| Main risk | Picking a use case that does not save enough time | Building before you know users will pay |
How it works
How an AI project runs
- 01
Pick the use case
We list tasks that are frequent, text-heavy and costly, and choose the one with the clearest payback.
- 02
Pilot on real data
A working prototype in 2 to 4 weeks, tested on your actual documents and questions.
- 03
Evaluate
Accuracy, speed and cost per task measured against the current process, with a test set we keep using.
- 04
Build for production
Access control, logging, fallbacks, cost limits and integration with your existing tools.
- 05
Monitor and improve
Track quality and model costs over time, and switch models when better or cheaper ones arrive.
Included
Built in from the start
- Your data stays in your cloud account where required
- Role-based access to documents and answers
- Source citations on generated answers
- Human approval for high-risk actions
- Cost caps and usage monitoring
- Evaluation test set to catch regressions
- Model-agnostic design, so you can switch providers without a rebuild
- Full logs for audit and debugging
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How much does an AI project cost?
Build cost plus a monthly model and hosting cost that depends on usage.
| Project | Typical build | Running cost |
|---|---|---|
| Pilot / proof of concept | ₹40,000 to ₹1 lakh | Low |
| Chatbot on your documents | From ₹99,999 | ₹2,000 to ₹20,000 / month |
| Document processing automation | ₹1 to 3 lakh | Per document processed |
| AI agent integrated with your tools | ₹2 to 5 lakh | Depends on volume |
| AI SaaS product MVP | From ₹1,99,999 | Scales with users |
Included
How to choose an AI development company in India
Red flags and questions that separate working AI from impressive demos.
- Ask to see AI running in production with real users, not only a demo
- Ask how they measure accuracy, and whether you get the test set
- Be wary of anyone who promises 100% correct answers
- Check who pays for model usage and how costs are capped
- Ask where your data is stored and whether it is used to train models
- Make sure you can switch AI providers later without a rebuild
- Prefer a small paid pilot over a large upfront contract
Included
What to share before asking for a quote
The more of this you have, the faster we can tell you whether AI fits and what it will cost.
- The task you want AI to do, and who does it today
- How often it happens: per day, week or month
- Sample documents, questions or data (anonymised is fine)
- The tools or software it needs to connect to
- What a good result looks like, and what mistakes would cost
- Any rules about where data must stay
Why us
Why businesses choose us
An in-house team of developers and SEO experts, led by a founder who builds SEO software, with one point of contact for your project.
A full in-house team
10 developers and 8 SEO experts work together, so design, development, deployment and SEO happen under one roof. No outsourcing, no hand-offs between agencies.
Founder-led by an IIT BHU engineer
Anurag Kamboj (Mathematics & Computing, IIT BHU), with 5+ years of experience, leads every project, with a single point of contact from first call to launch.
We build SEO software ourselves
Anurag is CTO of SEORCE, an AI SEO platform, and Jarbug, programmatic SEO for ecommerce. The same search-first standards go into every client project.
VisitEnd to end, so you can focus on growth
100+ clients, 20+ mobile apps and 10+ ecommerce stores delivered, from planning and design to deployment, hosting and support.
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Related services and guides
Our work
Work we've done
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An automated news engine that finds trending topics and publishes full articles
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Website + automation
Fun World Bangalore
Ticketing website, WhatsApp automation and cart recovery for an amusement & water park
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8 GMAT question types, built in the admin panel
- 1. Problem Solving
- 2. Data Sufficiency
- 3. Critical Reasoning
- 4. Reading Comprehension
- 5. Multi-Source Reasoning
- 6. Table Analysis
- 7. Graphics Interpretation
- 8. Two-Part Analysis
Custom software · EdTech
Top One Percent
GMAT exam portal with an admin panel for 8 question types
Read case studyFAQ
AI Development: frequently asked questions
How much does AI development cost in India?
A focused pilot usually costs ₹40,000 to ₹1 lakh. Production AI applications start at ₹99,999, plus a monthly model and hosting cost that depends on how much the system is used.
Which AI models do you use?
We work with OpenAI, Anthropic Claude, Google Gemini and open-source models. We pick per task based on quality, speed, cost and data requirements, and design systems so the model can be swapped later.
Is my business data safe with an AI chatbot?
Business APIs from the major providers do not train on your data by default. Where data must stay private, the system runs inside your own cloud account with access control, and sensitive fields can be masked before they reach a model.
Will the AI give wrong answers?
It can, which is why answers are grounded in your documents with sources shown, tested against a set of real questions, and risky actions need human approval. The goal is a system you can measure, not one you hope works.
Can you add AI to my existing software?
Usually yes. AI features can be added through APIs alongside your current system, without rebuilding it.
How long does it take to build an AI application?
A pilot on your real data takes 2 to 4 weeks. Moving to production depends on how many tools it connects to and how strict the access rules are, and is quoted after the pilot results are in.
What is an AI agent, and does my business need one?
An AI agent completes a multi-step task on its own, such as researching a lead, drafting a reply and updating your CRM. You need one when a task repeats often, follows a clear pattern and wastes staff time. For simple question answering, a chatbot on your documents is cheaper and easier to control.
Do you support AI systems after launch?
Yes. We monitor answer quality and model costs, rerun the test set when anything changes, and switch to better or cheaper models when they become available.
Do you work with clients outside India?
Yes. We build AI projects for businesses in India and work remotely with teams abroad, either per project or with a dedicated developer from our team.
What is a good first AI project for a small business?
Answering repetitive customer questions from your own information, sorting and replying to enquiries, or pulling data out of invoices and forms. These are frequent, easy to measure and low-risk.
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Related services
Ready to talk about your project?
Call or WhatsApp +91 98772 40866. You'll speak to a senior team member and get a written quote, usually within a day.