AI integration in Hyderabad
Pharma teams in Hyderabad spend a large part of their working week reading: standard operating procedures, technical dossiers, published literature, deviation reports. A language model that can find and summarise the right passage is obviously useful, and a pilot usually proves it. What stops the pilot reaching production is the question every pharma team asks: when the answer is wrong, how would anyone know?
We build retrieval-based AI features that answer with citations to the exact source passage, so a reviewer can check every claim. An evaluation set built with your subject experts measures accuracy before and after every change. Documents stay inside your own environment, access follows existing document permissions, and every question and answer is logged. On FM360, a weekly summary written by Claude may only cite records it was given, and the same discipline applies here.
Hyderabad's technology economy grew around HITEC City, set up in 1998, and spread west through Gachibowli and the Financial District. It is where Microsoft runs one of its largest research and development centres outside Redmond and where Amazon opened what it described as its largest campus building, in 2019. JLL counts more than 355 global capability centres in the city, the in-house engineering and operations offices of foreign companies, employing over 200,000 people, which makes it the second-largest GCC hub in India. Those centres set the local price of an experienced engineer, and every other employer in the city, startups included, hires against them.
The second pillar is life sciences. Genome Valley, the pharmaceutical manufacturers on the city's edge and a fast-growing set of pharma GCCs make Hyderabad unusual: according to the same JLL research, nine of the world's top 18 pharma, biotech and medical device companies run capability centres here. Software in this world is about records people can trust. Quality teams need to see who changed a record, when and why. Approvals need a named person behind them. A batch, a deviation or a sample has to be traceable from start to finish. Much of that work still lives in shared drives and spreadsheets that have outgrown the job.
So the buyers here are usually one of three. GCC leaders with a mandate from headquarters and a hiring pipeline that moves slower than the roadmap. Quality, clinical and commercial teams in pharma who need a tool built properly and documented as it is built. And the city's own startups and established firms, who compete with those GCCs for every engineer and need senior people on a piece of work long before a hire can join.
We are in Bengaluru and share your time zone, so the working day is the same on both sides. Most of the work happens in your repository, your ticketing system and a shared chat channel, which is how most GCCs prefer to run anyway. You talk directly to the engineer who writes the code, and the runbooks and architecture notes are written as we go, so your permanent team inherits them.
We are the right fit for the proof of concept that wins your GCC its headcount, a funded build that needs senior engineers before hiring can staff it, or specialist work alongside your team. Start with a fixed-price two-week piece and judge us on what ships. Agencies and IT services firms can 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 Hyderabad teams.
How do you work with teams in Hyderabad?+
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 whichever chat, repositories and ticketing your parent company has standardised on, with access through your own accounts. You talk directly to the engineer writing the code, and the decisions, runbooks and architecture notes are written down in your repository as we go.
Do you build for pharma and life sciences teams?+
Yes. We build the tools quality, clinical and commercial teams use every day: platforms where every change to a record shows who made it, when and why; approvals tied to a named person; field apps for medical representatives that work without signal; batch- and expiry-aware ordering for distributors; and document search that cites the exact source passage. The design documentation is written as we build, so your teams can see exactly what the system does.
How does your rate compare to hiring in Hyderabad?+
PayScale puts a mid-career software engineer in Hyderabad 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 build the proof of concept our GCC needs to win headcount?+
Yes. We build one workflow as a small, real product inside your environment, usually in Next.js and Postgres, with usage you can report to headquarters. It starts with a fixed-price two-week piece, so the first working version arrives quickly and costs a known amount. The NDA comes before specifics, and the code sits in your repositories from the first commit, so when the headcount is approved your new team extends it.
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.