AI development services for teams that need it in production
Most AI projects stall between the demo and the real thing. We take an idea — or a prototype that works on a laptop — and engineer the full system around the model: data, retrieval, tools, interface, security, deployment and monitoring.
01Is this you?
- You have a clear AI use case but no in-house team to build it.
- A proof of concept works in a notebook and falls over with real users.
- You need AI wired into existing systems, not a standalone toy.
- Answers have to be accurate, traceable and safe to put in front of customers.
02What we build
Discovery & architecture
Use case scoping, model and data choices, and a system design you can review before a line of code is written.
LLM application
The working product: backend, prompts, retrieval or agent logic, and a usable interface.
Integrations
Secure connections to your databases, APIs, documents and internal tools.
Evaluation & guardrails
Test sets, quality checks and limits so the system behaves predictably.
Deployment & handover
Production deployment, monitoring, documentation and a clean handover to your team.
03Typical stack
- Python
- TypeScript
- Next.js
- FastAPI
- PostgreSQL
- pgvector
- OpenAI
- Anthropic Claude
- Open-source LLMs
See how this comes together in selected work and the engineering approach.
04Questions
What kinds of AI projects do you take on?
LLM-powered applications: RAG knowledge assistants, AI agents and workflow automation, AI chatbots, text-to-SQL and data assistants, and AI features inside existing products.
Do you work with startups or enterprises?
Both. Startups usually need a first production version; enterprise teams usually need AI connected safely to systems they already run.
How long does an AI project take?
A focused first version is typically a matter of weeks, not months. The timeline is agreed after a short discovery call once the scope and data are clear.
Which AI models do you use?
Whichever fits the job — commercial models such as OpenAI GPT and Anthropic Claude, or open-source models when data must stay in your environment. The system is built so the model can be swapped.
Where are you based?
Hyderabad, India. We work with teams across Hyderabad and India, and remotely with clients in any country over email, WhatsApp and video calls.
Tell us what you're building.
A short message is enough to start. You'll hear back from Vijay directly at hello@collabwithvijay.com.