AI development company in Ahmedabad, India
We build custom LLMs, RAG systems, chatbots and AI agents that fit into the software you already run, tested on your data and supported long after launch.
Why work with us
Most businesses don't need an AI science project. They need a tool their team actually uses on Monday morning.
That's the kind of AI we build. We usually start with a job someone in your company does by hand every week: answering the same customer questions, reading supplier invoices, searching old project files. Then we check whether AI can do it reliably, and build it into the systems you already use.
We've been writing software in Ahmedabad since 2009, for clients across India, the US, Europe and the Middle East. So when we build with AI, we also take care of the security reviews, the integrations and the monitoring that keep it running once the launch is over.
What we build
Seven ways we put AI to work, each with examples of what clients have asked us to build.
We fine-tune open and commercial language models on your terminology, documents and tone, so answers sound like your business and stay inside your security boundary.
Typical projects
Retrieval-augmented generation connects a language model to your manuals, policies and databases. Every answer cites its source, so people can check it before they rely on it.
Typical projects
We add OpenAI, Anthropic Claude or Google Gemini to software you already have, with the prompt design, cost controls and fallbacks that make it dependable day to day.
Typical projects
Chatbots for websites, WhatsApp and internal tools that understand context, hand over to a person when they should and log every conversation for review.
Typical projects
Agents that carry out multi-step work, such as checking an order, updating the ERP and emailing the customer, with approval steps wherever a human should decide.
Typical projects
Natural language processing that reads, sorts and extracts data from emails, PDFs, forms and scanned documents, then sends the results where your team needs them.
Typical projects
Classic machine learning still solves many problems best. We build forecasting, recommendation and anomaly detection models, trained and tested on your own historical data.
Typical projects
AI by industry
The technology is the same everywhere. What changes is the problem. Here is how AI tends to help in the industries we work with most.
How we work
Before we talk about GPT or Llama, we look at the task, who does it today, what it costs and what a good result looks like. Sometimes the honest answer is that AI isn't the right fit, and we'll say so.
A quick prototype on your own documents tells us more than any slide deck. You get to try it, break it and give feedback before we commit to a full build.
Every AI feature gets tested for accuracy, response time and cost per request. We share those numbers with you, so decisions are based on evidence rather than a good demo.
The code, prompts, fine-tuned models and documentation belong to you. Your team can run it, or we can support it long term. The choice stays yours.
Technology
We don't tie you to one vendor. We pick the model and tools that suit your accuracy, privacy and budget needs, and we can switch later if something better comes along.
FAQ
An AI development company designs, builds and maintains software that uses artificial intelligence, such as chatbots, document processing, recommendation engines or AI assistants built on large language models. At Infilon we handle the full job: working out the use case, preparing data, building and testing the AI, and integrating it into your existing systems.
It depends on what the AI needs to do, how much data is involved and which systems it connects to. A focused integration costs far less than a custom-trained model. We usually begin with a short discovery phase, then give you a clear, fixed-scope estimate before any development starts.
Yes, and it is often the best place to start. We regularly add AI features like smart search, summaries, chat assistants and document extraction to existing web apps, ERPs and CRMs without rebuilding them.
No. We use enterprise API settings that exclude your data from model training, or open-source models hosted in your own cloud when the data is sensitive. Access controls and data handling are agreed with you before the project starts.
Not always. Modern language models and RAG systems can work well with the documents you already have. Custom machine learning models need more historical data, and we will tell you honestly whether you have enough before you invest.
Yes. We are based in Ahmedabad, Gujarat and work with clients worldwide, with meeting times that overlap US, UK, European and Middle East business hours.
Tell us what it is. We'll tell you honestly whether AI is a good fit, what it would take to build and how we would measure success.
