AI development company in Ahmedabad, India
AI Development Services That Your Team Will Actually Use
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.
- Custom LLMsModels tuned to your language and data
- RAG systemsAnswers sourced from your own documents
- AI agentsSoftware that completes multi-step tasks
- AI in your appsGPT, Claude and Gemini where users need them
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
Our AI Development Services
Seven ways we put AI to work, each with examples of what clients have asked us to build.
- 01
Custom LLM Development
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
- Private company assistant
- Domain-specific writing
- On-premise models
- 02
RAG Development
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
- Support knowledge base
- Policy and contract search
- Technical documentation Q&A
- 03
GPT & LLM Integration
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
- Summaries inside your CRM
- Draft replies for support teams
- Smart search in web apps
- 04
AI Chatbots & Virtual Assistants
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
- Customer support bot
- Lead qualification
- HR and IT helpdesk
- 05
AI Agents & Workflow Automation
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
- Order and invoice processing
- Report generation
- Back-office automation
- 06
NLP & Document Processing
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
- Invoice and PO extraction
- Email classification
- Sentiment analysis
- 07
Machine Learning & Predictive Models
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
- Demand forecasting
- Product recommendations
- Fraud and anomaly alerts
AI by industry
Where Our AI Solutions Make a Difference
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.
Manufacturing
- Predictive maintenance alerts
- Quality inspection with computer vision
- AI assistants on top of ERP data
Healthcare
- Clinical note summarization
- Appointment and triage chatbots
- Medical document extraction
Finance & Banking
- Invoice and statement processing
- Fraud and anomaly detection
- Compliance document search
Retail & eCommerce
- Product recommendations
- Catalog content generation
- Order-status support bots
Real Estate
- Lead qualification chatbots
- Property description writing
- Contract and lease review
Education
- Course Q&A assistants
- Automated feedback on assignments
- Admissions enquiry bots
How we work
Four Things We Do on Every AI Project
We start with the problem, not the model
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.
You see it working on your data early
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.
We measure before we ship
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.
You own what we build
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
Tools We Build With
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.
Language models
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
Frameworks
- LangChain
- LlamaIndex
- Hugging Face
- PyTorch
- scikit-learn
Data & search
- PostgreSQL + pgvector
- Pinecone
- Elasticsearch
- Redis
Cloud & deployment
- AWS
- Microsoft Azure
- Google Cloud
- Docker
- Kubernetes
- Building software from Ahmedabad
- Since 2009
- Projects delivered
- 575+
- Clients across the globe
- 290+
FAQ
Questions People Ask Before Building With AI
What does an AI development company do?
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.
How much does it cost to build an AI solution?
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.
Can you add AI to our existing software?
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.
Will our data be used to train public AI models?
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.
Do we need a lot of data to use AI?
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.
Do you work with clients outside India?
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.
Have a task you think AI could handle?
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.
