AI development company / Bangalore (Bengaluru), India
AI development company in Bangalore for US founders and CTOs.
You want an AI team rooted in India's deepest ML talent pool, without losing your working hours to a time zone wall. We build with senior engineers from the Bangalore ecosystem, keep 9+ hours of live US overlap, and hand you full ownership of everything we ship.
Why Bangalore for AI talent
Bangalore is the largest tech and startup hub in India, and it has the country's deepest bench of AI and ML engineers. The research labs of most major cloud and AI companies have a presence here, which means the city has spent years training people on the hard parts: retrieval, evaluation, fine-tuning, and shipping models that hold up under real traffic.
That density matters for you in a practical way. The engineers we work with have usually already wrestled a model into production, watched it fail in interesting ways, and fixed it. You are not paying for someone to learn on your project. You get people who have done the unglamorous parts before.
A quick note on honesty: FoundrySoft is headquartered in Chennai and works with clients nationwide, across India and the US. We draw on Bangalore's talent as part of one India team, so you get the depth of that ecosystem without us pretending to be something we're not.
What we build
Most of our work falls into a few shapes. We build LLM products and agents: RAG pipelines, agentic workflows, evaluation harnesses, and the plumbing that keeps a model reliable in production, including retries, guardrails, caching, and cost control.
We also add AI into apps that already exist. Search, summarization, copilots, and classification wired into your current stack without forcing a rewrite. When the foundations need work, we handle the data and model infrastructure too: vector stores, fine-tuning loops, inference deployment, and the observability that lets you see what your AI is doing and what it costs.
All of it is full-stack. The same team handles frontend, backend, and infra, so nothing falls through the cracks at the seams between the model and the product around it.
How we work with US teams
The usual offshore complaint is the 12-hour wall: you write a question at the end of your day and get an answer the next morning. We run our schedule against US time zones instead, so the bulk of your business day has live engineers on the other side. That is 9+ hours of real overlap, whether your team sits in Eastern or Pacific.
You hear from us every week with a working demo, not a status document. Standups, code reviews, and pair sessions happen on a call. You talk directly to the people writing the code, not through a project-manager layer that filters every question in both directions.
Why FoundrySoft
Plenty of shops can put bodies on a project. Here is what we hold ourselves to instead.
9+ hours of US overlap
Our day starts before yours ends and runs deep into your morning. Live collaboration inside your working hours, every working day.
100% IP ownership
Every line of code, model weight, and prompt is yours from day one. Mutual NDAs and clean IP assignment are standard, never an upsell.
Senior engineers only
You work with the people writing the code. Fluent communication, US-context product sense, and the seniority to push back when something is a bad idea.
Weeks, not months
Small senior teams skip the layers. A working build in a few weeks, then tight iteration against real usage instead of a year-long plan.
Common questions
- Do you have an office in Bangalore?
- FoundrySoft is headquartered in Chennai and works with clients across the US and India. We draw senior AI and ML engineers from Bangalore's talent pool as part of our wider India team, so you get the depth of that ecosystem without the overhead of running a separate satellite office.
- How much overlap will I get with my US working hours?
- We keep at least 9 hours of live overlap with US business hours every working day. Standups, code reviews, and demos happen on a call, not over a 24-hour email relay. That holds whether your team sits in Eastern or Pacific time.
- Who owns the code and the models you build?
- You do, fully, from the first commit. We work under mutual NDAs and assign all IP to you as standard. There is no clause that keeps a model, prompt set, or repository tied to us after the engagement ends.
- What does it cost to hire an AI team this way?
- Engagements typically land 50 to 70 percent below the fully loaded cost of an equivalent in-house US hire. The exact number depends on team size and scope, so we give you a direct read once we understand what you are shipping.
- How fast can you start and ship something real?
- We usually have a small senior team running within a couple of weeks and a working build to react to a few weeks after that. We iterate against real usage rather than handing over a year-long roadmap and going quiet.
Let's scope your AI build.
Tell us what you are trying to ship. We will come back with a direct read on approach, timeline, and cost, with the engineers who would actually do the work on the call.