AI integration in Delhi NCR
Edtech companies in Noida and Delhi are putting language models in front of students: doubt-solving, answer explanations, essay feedback, practice questions generated on demand. The hard parts show up after launch. A wrong answer to a physics doubt is worse than no answer, students ask in Hindi, English and a mix of both, and the model's cost per student can quietly exceed what the student pays.
We make these features trustworthy and affordable. An evaluation set built from real student questions in the languages they actually use, graded by your subject experts, so a prompt or model change is measured before it ships. Guardrails that decline rather than guess when the model is unsure, caching for the questions every student asks, cheaper models where they are good enough, and a fallback when the provider is down.
Delhi NCR is not one market but three, joined by expressways and a metro. Gurugram is where much of India's consumer internet grew up: food and grocery delivery, travel, logistics, home services and fintech, alongside the Indian offices of many multinationals. Noida has a different mix, with large IT services firms, edtech, media and healthcare technology companies selling to hospitals in the US. Delhi itself holds the government, and with it every company whose customer is a ministry, a state department or a public sector undertaking.
The consumer companies share an operational problem. Their software coordinates people in the physical world, riders, couriers, technicians and sellers, on cheap phones and busy roads, and the backend has to cope with status updates that arrive late, twice or out of order. Many of them are now past the stage of growth at any cost and into the stage of unit economics, which turns engineering questions into money questions: what does each order cost to serve, and which part of the cloud bill is paying for nothing.
Companies that sell to government need software shaped like the organisation it serves. Access follows the organisation chart: a district sees its own records, a state sees its districts, a ministry sees all of them, and every approval has a proposer and an approver. Noida's healthcare technology companies need something similar for hospital customers abroad, with each customer's data kept firmly apart. Across all three cities the hiring market is crowded. The consumer companies, the multinationals and the IT services firms compete for the same senior engineers, so a defined piece of work often waits months for someone to own it.
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. You talk directly to the engineer who writes the code. Most of the work happens in your repository and a shared chat channel, and the decisions, runbooks and architecture notes are written down as we go for everyone who was not on the call.
We are the right fit when an NCR team needs senior capacity quickly: a defined build, a backend that has to stop losing orders, or the months while your permanent hire works out their notice. 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 Delhi NCR teams.
How do you work with teams in Delhi NCR?+
We are in Bengaluru and share your time zone, so calls, reviews and releases happen inside your normal working day, whether you are in Gurugram, Noida or Delhi. We work in your tools, Slack, GitHub and Linear or whatever your team already uses. You talk directly to the engineer writing the code, from the first 30-minute call onwards, and the decisions, runbooks and architecture notes are written down in your repository as we go.
Do you build for delivery and logistics companies?+
Yes. We build the systems that coordinate riders, couriers and technicians: order and shipment state that stays correct when events arrive late, twice or out of order, partner apps that keep working offline and upload proof of delivery when the network returns, and reconciliation that catches what still slips through. We also build the data pipelines that finally give everyone one answer to what an order costs to serve.
How does your rate compare to hiring in Delhi NCR?+
PayScale puts a mid-career software engineer in Gurugram at about ₹16 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 take over a platform another team built?+
Yes, and it is a common way in. We start by reading the code and writing down what it actually does: the services, the background jobs, the parts only one person understood. The fixed-price two-week piece is usually the failure that costs you most, fixed and documented. At the end you have working code, a map of the system and a written plan for what comes next, all in your repository.
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.