Data & machine learning
A real-time machine learning pipeline running 24/7 on AWS
A production system that ingests live data over WebSocket, runs a four-model ensemble and delivers predictions to Telegram with no manual steps.
Read the case studyBangalore
AI integration services for Bangalore startups, SaaS companies and engineering-led teams: a senior Noida team that ships LLM features into your existing product, with clean handover to your own engineers.
AI integration services help a product team add AI features to software that is already live, and that is the work we do for Bangalore companies. Think semantic search in your dashboard, a support assistant that reads your help docs, or invoice extraction in your finance flow.
We deliver remotely from Noida. We have no Bangalore office, and we say so up front. Our team works in the same time zone as yours, so a call at 11:00 or a quick message at 17:00 works the way it would with a neighbour.
One AI feature starts from ₹30,000. The price is agreed before we begin, and every message gets a reply within 12 hours.
Your roadmap has an AI item on it, and your engineers are busy with the core product. Hiring a specialist takes months and the feature may not need one full time.
We take one well-defined AI feature, build it against your codebase and APIs, and hand it over in a form your team can read and change. You get the speed of an outside team without a black box.
Most requests from engineering-led buyers look like this.
We write the integration as a small, separate module with clear interfaces. Prompts live in version control, not in someone's head. Model names and settings sit in configuration so you can switch providers later.
We add evaluation sets from your real examples, so a prompt change can be checked before it ships. Your engineers get a walkthrough and written notes, and the repository and cloud accounts are yours from the first day.
We begin with an audit of the data, the user flow and the failure cases. Then a two-week prototype on your actual content, so you judge quality with evidence and not a demo script.
If it passes, we build it for production with logging, retries and cost limits. After launch we monitor spend per request, accuracy on a sample, and any answer that is not backed by your content. Guardrails keep the model in scope. You get 30 days of fixes.
If your users are in India, the Digital Personal Data Protection Act shapes what you may send to a model and what you must be able to delete. We map which fields reach the model and strip what the feature does not need.
We use provider settings where client data is not used for training, keep keys and data in your accounts, and restrict access by role. We claim no certification, and your legal adviser should confirm what applies to you.
We work Monday to Saturday, 09:00 to 21:00 IST, closed Sunday. You can reach a senior person on the project directly, not an account manager.
We invoice in INR with GST, billed by milestone and never all upfront. Please confirm GST details with your accountant. Some Bangalore founders ask for an in-person workshop, and we can travel by arrangement.
Pricing
Flexible on scope. Firm on price. We shape the plan around your budget, and once we agree, the price does not change.
Starter
from ₹30,000
Growth
₹75,000–₹2,00,000
Premium
₹2,00,000–₹6,00,000+
Priced like our AI automation work: from one AI feature to custom agents with integrations. Model usage fees are billed to your own account. Prices are a starting point, not a wall. See all plans
Proof
Real projects we built for real clients.
Data & machine learning
A production system that ingests live data over WebSocket, runs a four-model ensemble and delivers predictions to Telegram with no manual steps.
Read the case studyContact
Share the goal, the constraints and any deadlines. We reply within 12 hours with a clear next step.
Prefer to talk first?
Pick a 30-minute slot in your time zone. No preparation needed.
Book a discovery callBangalore FAQ
Cost, timing, trust and ownership, answered before you ask.
Still have a question?
Thirty minutes with us usually answers everything, including whether we are the right fit.
No. We are based in Noida and deliver remotely. We share your time zone, run calls on video, and can travel for a workshop by arrangement. Nothing about the work needs us in the room, but we will not pretend to have an office we do not have.
One AI feature starts from ₹30,000. An assistant with connected workflows runs ₹75,000 to ₹2,00,000. Premium custom agents run ₹2,00,000 to ₹6,00,000 or more. Model usage is billed to your own account. The price is agreed before we start.
Yes, that is the plan. We write it as a separate module with versioned prompts, config for model choice and an evaluation set. You get the repository, a walkthrough and written notes. You can extend it without us.
OpenAI, Claude or Gemini, depending on the task, cost and your data needs. We keep the model choice in configuration so you can switch later. We recommend by testing on your own examples, not by brand.
We ground answers in your documents, show sources, and set the assistant to say it does not know when the content does not cover a question. We test with tricky examples and keep sampling accuracy after launch. No model is perfect, and we do not promise it.
Only to the provider you approve, on settings where your data is not used for training. Data, keys and logs stay in your own accounts. We write down what the model sees before building, and we cut any field the feature does not need.
Yes. We work in your repository, follow your branching and review rules, and use your cloud accounts. We ask for a staging environment and a sample of real data. We do not ask you to adopt our tooling.
You get 30 days of fixes. We monitor cost, accuracy and made-up answers, and report what we see. After that you can continue with us on a monthly basis or run it yourselves. You own the code and accounts either way.
How we work
The process, the terms and how we handle your data. Open a row for the detail.
More about who we are and how we work.
India's Digital Personal Data Protection Act, 2023 sets rules on consent and notice for personal data of people in India, and its detailed rules are being phased in.
This is plain-language information about how we work, not legal advice. Please have your own adviser check what applies to your business.
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Ready to talk about AI integration in Bangalore?
Thirty minutes is enough to tell you the approach, the budget range and the timeline.