AI integration in Pune
Component makers around Pune receive requests for quotation in every format imaginable: PDF drawings, spreadsheets of part numbers, emails with specifications buried in the third paragraph. An estimating engineer retypes the relevant details into a costing sheet before any real engineering judgement begins. It is slow, it bottlenecks on a few experienced people, and a missed tolerance can make a quote unprofitable.
Language models are good at the retyping part, and we build them into the estimating workflow with a person firmly in charge. The model extracts materials, dimensions, quantities and special requirements into a structured form, marks what it is unsure of, and links every extracted field back to where it appeared in the document. The estimator confirms or corrects, and those corrections become the evaluation set that measures every change. Drawings stay within the environments your customers' confidentiality terms allow.
Pune runs two economies inside one metropolitan area. It is one of India's most important automobile and manufacturing hubs, with plants in Chakan, Pimpri-Chinchwad and Talegaon; Chakan alone hosts vehicle plants for Mercedes-Benz, Volkswagen, Bajaj Auto, Mahindra and Jaguar Land Rover, surrounded by hundreds of component suppliers. It is also one of the country's largest IT hubs, spread across Hinjewadi, Kharadi, Baner and Viman Nagar. And it makes vaccines: the Serum Institute of India, the world's largest vaccine manufacturer, is here too.
The most interesting software problems sit where those economies meet. Carmakers expect their suppliers to exchange schedules, shipping notices, drawings and quality documents electronically, and to keep up when the format changes. Plants want to know why a line stopped, which machine keeps failing and what the real output was per shift, but the data sits in machine controllers, a manufacturing execution system, an ERP and a supervisor's register, none of which agree. Industrial software startups, often founded by engineers who know those plants from the inside, are building products to fix exactly that, and selling them in India and abroad.
Our place is the software above the machines, working alongside your automation partner. We build the integrations that read what your machines and systems already expose, the data pipelines and dashboards that turn it into one picture, the supplier portals, the mobile apps for technicians and inspectors, and the SaaS products that package all of it. Pune also has a deep bench of IT services and engineering services firms, and a firm like ours can take a specialist piece of their larger programme, delivered under their name.
We are in Bengaluru and share your time zone, so the working day is the same on both sides and a problem raised in the morning gets a response that morning. Most of the work runs through your repository and a shared chat channel, and you talk directly to the engineer who writes the code. What we learn about your process, from calls, documents and photos of the floor, is written down as we go, so everyone works from the same picture.
We are the right fit for a defined build, an integration with an end date, or a product that needs to reach its first pilot plant before your own team is hired. Start with a fixed-price two-week piece and judge us on what ships. Pune's IT services and engineering firms can also bring us in white-label, under their name.
Four ways this arrives.
A prompt that behaved on twenty hand-picked inputs meets ten thousand real ones. We build the evaluation set from your actual traffic first, so a change can be judged rather than argued about.
Usually a large context sent on every call, or a big model doing a job a small one can do. We measure where the tokens go before recommending anything.
Logging that captures the prompt, the retrieved context, the model version and the output, so a support question has an answer that is not a guess.
A fallback path, a timeout that is shorter than your user’s patience, and a degraded mode that is honest about being degraded.
A weekly maintenance pulse where Claude writes only the prose, checked against a JSON schema and a whitelist of numbers, with a template that takes over when the model fails.
Read the write-up →Asked by Pune teams.
How do you work with teams in Pune?+
We are in Bengaluru and share your time zone, so calls, reviews and releases fit inside your normal working day. We work in your tools, Slack, GitHub and Linear or whatever your team already uses, and you talk directly to the engineer writing the code. Photos, short videos and a walk-through call from the floor go a long way, and everything we learn is written into your repository as runbooks and architecture notes.
Can you connect to our machines and plant systems?+
Yes, through the data they already expose. We integrate with what your manufacturing execution system, historian, SCADA or machine gateways publish, whether that is a database, an API, a message broker or exported files, and build the pipelines, dashboards and apps on top. We work alongside your automation partner, who looks after the controllers, and help you specify any new data points worth adding to the line.
How does your rate compare to hiring in Pune?+
PayScale puts a mid-career software engineer in Pune at about ₹14 lakh a year. Our published rate is $35 an hour, with a $5,000 minimum. That buys a senior engineer who writes the code, works in your Slack, GitHub and Linear, and starts within days, with no recruiting round, notice period or employment overhead. Begin with a fixed-price two-week piece at $2,800 and judge us on what ships.
Can you work white-label for our IT services firm?+
Yes. Work ships under your name, in your client's repositories and through your delivery process, and we sign an NDA before specifics. We stay behind your team unless you want us in the room. It works best for a well-defined specialist piece inside a larger programme, such as a data pipeline, a mobile app or an infrastructure migration, and the code belongs to your client from the first commit.
Will you tell us if we do not need a model?+
Yes, and it happens often. Several requests we have taken turned out to be a search problem, a rules engine, or a form with better defaults. We would rather say that in week one than bill for a year of prompt tuning.
Whose API keys?+
Yours, in your accounts, with the spend visible to you. We never proxy your traffic through infrastructure we control.
What about our data going to a provider?+
We map exactly what leaves your systems and where it lands before anything is wired up. Where that is not acceptable, self-hosted open-weight models on your own hardware are a real option and we will price both.
Do you fine-tune?+
Rarely, and not as a first move. Retrieval and prompt structure fix most of what people bring to us as a fine-tuning problem, at a fraction of the cost and with none of the retraining treadmill.