AI integration in Chennai
Chennai's SaaS companies build the help desks, CRMs, billing systems and business applications that small companies worldwide run on, and their customers now expect AI inside them: suggested replies, conversation summaries, answers drawn from the customer's own knowledge base. In a multi-tenant product, that raises a question a single-company chatbot never faces. One customer's data must never inform an answer given to another.
We build AI features that respect tenancy from the start. Retrieval is scoped to the tenant at the data layer, not by instructions in the prompt; evaluation sets are built per use case so quality is measured before release; usage is metered per tenant so the feature can be priced without losing money on heavy users; and there is a fallback when the model provider has an outage. Your customers get the feature, and each customer's data serves only that customer.
Chennai is where Indian SaaS learned to sell to the world. Zoho is headquartered here and has grown without venture capital. Freshworks was founded here in 2010 by two former Zoho employees, and Chargebee was started in a Chennai apartment a year later by a team with Zoho roots, with Freshworks as an early customer. That lineage produced a distinctive kind of company: product-led, careful with money, selling to small and mid-sized businesses on several continents from offices in Chennai. Chennai's SaaS teams tend to be strong on product and short on specific capacity, not on talent in general.
The city's second identity is industrial. Chennai is often called the Detroit of Asia, with vehicle plants including Hyundai's and BMW's on its outskirts, a large base of component and electronics manufacturers, and a major port. Those firms have the same problem as manufacturers everywhere in India: their operations have outgrown the spreadsheets and older systems that run them, and their information arrives late and in the wrong format. Around the port, freight forwarders, customs brokers and warehouse operators face the same problem with paperwork instead of parts, and the cost of a lost document is a container that sits on the quay.
Its third is healthcare. Chennai is often called the health capital of India, and hospital groups such as Apollo Hospitals and specialist centres such as Sankara Nethralaya draw patients from across the country and abroad. Healthcare software here has to earn trust. Health records are among the most sensitive data there is, and hospital systems increasingly need to exchange data with each other and with the national digital health stack rather than sit in isolation. Referrals, international patient coordination, patient apps and group-wide reporting all need building. Getting consent, access logging and integration right matters more than the interface.
We are in Bengaluru and share your time zone, so the working day is the same on both sides and a question asked in the morning is answered that morning. You talk directly to the engineer who writes the code. Most of the work happens in your repository, your issue tracker and a shared chat channel, which suits teams used to working in writing, and the runbooks and architecture notes are written as we go.
We are the right fit for a defined piece outside your team's usual specialism, a migration with an end date, or the gap while your next hire serves their notice. Start with a fixed-price two-week piece and judge us on what ships. Chennai agencies and product studios can also bring us in white-label, under their own 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 Chennai teams.
How do you work with teams in Chennai?+
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 most of the conversation happens in writing, where it lasts. You talk directly to the engineer writing the code, from the first 30-minute call onwards, and runbooks and architecture notes are written into your repository as we go.
Can you work inside a mature SaaS product without slowing our team down?+
Yes. We read your code and conventions before changing anything, follow your review and release process, and take a defined piece of work, such as a billing migration, a new integration, a performance problem or an infrastructure move, so the changes stay in one place rather than spreading across the product. We work in Node, Python and TypeScript, inside your repository, and leave runbooks and architecture notes for your team.
How does your rate compare to hiring in Chennai?+
PayScale puts a mid-career software engineer in Chennai at about ₹12 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 software for Chennai's hospitals?+
Yes. FM360, the platform we built for a healthcare estate, runs its facilities and maintenance in production. For hospitals and diagnostic chains we build referral and patient-coordination platforms, patient apps in Tamil and English, and warehouses that join every branch's systems into one set of numbers. Consent is recorded per purpose, every access to a record is logged, and integrations use standards such as FHIR where the other side supports them.
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.