A founder-led studio that designs, advises on, and builds the voice and chat systems behind AI that actually sounds human — and ships its own products along the way. Multilingual conversation, a specialty few can match.
Agents that qualify a family in Tamil, sell a course in Tanglish, and stay in character when a caller pushes back — running today across senior-living care, overseas education, and premium food brands.
I trained as a dentist, then spent years as a health-tech founder — living the gap between a bold idea and a product people actually use. That taught me the discipline this studio runs on: understand the human on the other end first, then engineer the system that serves them. Today that means conversation AI — designed and built to hold up in the real world, not just the demo.
Take one, or the whole arc. Founder-led on every engagement, with specialist collaborators brought in per build. The through-line never changes: conversation systems that hold up in the real world, not just the demo.
Personas, dialogue flows, prompt systems, language rules, knowledge-base structure. The blueprint that makes an agent coherent and on-brand before a line of it ships.
Agent architecture, build-vs-buy, guardrail and escalation strategy, and QA that tests against real calls — not just the path where everything goes right.
Shipping agents on modern voice platforms, wiring post-call data and CRM pipelines, then tuning from live-call QA until the conversation truly holds.
Every agent comes from the same discipline: a defined persona, a language system, guardrails that hold under pressure, and a data layer that turns talk into records.
Agents that move between Indian languages and English the way people really speak — Tamil, Hindi, Kannada — natural, consistent, never robotic. A genuine edge for brands serving Tier-2 and Tier-3 India.
Logic that stops an agent guessing pricing or promising outcomes; budget-flip sequences; disqualification paths; escalation by department. In-bounds even when the caller pushes.
Barge-in-safe openings, sub-second bridges for latency, interruption recovery, silence handling. The details that separate a conversation from a bot reading lines.
A modular LLM layer after every call — summary, outcome tagging, structured extraction into the CRM — turning conversations into clean, queryable records.
Client names withheld by preference; described by sector. Each ran a full delivery cycle — build, live-call QA, client review, iteration.
Enquiries from seniors and their adult children arrived across WhatsApp and web chat, mixing Tamil and English freely. The team needed warm, patient qualification — budget, location, intent — without a human on every first touch.
Designed the full persona and conversation system — empathy-first flow, budget-based routing across four project tiers, objection and competitor handling, CRM write-back of name, relation, intent, budget and visit slot — deployed across WhatsApp and web with automated visit confirmations.
Outcome — Markedly faster lead qualification. The client ran structured QA against real call recordings and returned line-level feedback that shaped the next iteration.
Social-media leads for overseas job and study programs needed eligibility screening and routing to the right human expert — while fully handling the sales conversation for language-course leads, in natural Tanglish.
Designed a dual-path agent: triage-and-handover for complex programs, and an end-to-end qualification and sales flow for course leads — with mandated CRM capture, disqualification rules, and WhatsApp registration handoff.
Outcome — Delivered through a live client demo cycle with recorded calls and transcripts; the client returned detailed QA that shaped v2.
Callers — home cooks, chefs, first-time buyers — needed product, recipe and cooking guidance in warm colloquial Tamil, with a hard line: never guess pricing or bulk terms, always escalate cleanly.
Designed a brand-grounded persona over a structured knowledge base, caller-type branching, and credibility cues used only when trust is questioned — so the agent reads as a person, never a catalogue.
Outcome — Used as a showcase demo; the clearest expression of brand-voice and multilingual craft in the portfolio.
Client work sharpens the craft; our own products are where it compounds. Two modules of the healthcare platform, in build now — more as the studio grows.
A multilingual voice and chat agent that manages patient communication end to end — booking, rescheduling, cancellation, post-visit follow-up — across Tamil, Hindi and English. Proving the model in dental clinics first, then scaling across healthcare.
The system that helps clinics get discovered and grow — local visibility, patient reactivation, review generation, feeding the agent layer above. Vernacular-first, built for Indian healthcare.
Tools change every quarter. Judgment is the thing worth paying for — here's the judgment I bring to every engagement.
I start with the person on the other end — anxious patient, busy front-desk, first-time caller — and design the conversation around them. A trained clinician's instinct for how people actually talk when something matters.
In healthcare especially, an agent that oversteps is worse than no agent. I build in clear boundaries, escalation to humans, and honest limits from the first line — so the system earns trust instead of risking it.
Anyone can write a prompt. I architect the whole system — persona, language, guardrails, data, escalation — so it holds up across thousands of real, messy, interrupted conversations, not just the demo.
Every engagement leaves you with architecture you control — no lock-in, no black box. The same discipline I use to build the studio's own products, applied to yours.
The client work and the products point somewhere. The studio is building toward an all-in-one AI automation platform for healthcare — voice agents, chat agents, and agentic workflows working together to support patient communication, clinic operations, and service delivery, from single clinics to hospitals and PHCs.
A system that listens, understands, and communicates back — with empathy, across Indian languages, and always inside the boundaries that healthcare demands: medical-AI safety guidelines, clear disclaimers, and human clinical oversight at every step. Ambitious on purpose. Built carefully, on purpose.
I take on conversation design, advisory, and build work for teams shipping voice and chat agents — multilingual ones especially. Written-first, async, fixed-scope.
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