TinyAI
Seven agents.
Big outcomes.
We build and deploy production-ready AI agents across voice, messaging, marketing, retention and customer service — purpose-built for enterprise, optimized for impact.
Most businesses don't need a generic AI. They need purpose-built agents that know their domain and act on their data.
That's our bet. We build seven production-ready AI agents — from voice bots and WhatsApp automation to performance marketing, SEO, QA and churn management — each configured for your workflows and wired into your stack.
Every agent can look up records, update CRMs, book appointments, send messages, and escalate to humans — all within a single interaction. They don't just answer; they act.
From 2 AM pages to zero-queue mornings
A leading logistics company from Mumbai handles over a billion shipments a year. Their after-hours support queue was brutal — agents were paged at 2 AM for "where is my order?" calls that followed the same pattern every time.
We fine-tuned a 3B-parameter TLM on six months of their call transcripts and order data. The model learned their carrier codes, status enums, SLA logic, and escalation rules. We wired it into a voice agent with tool access to their order API and SMS gateway.
Result: Within six weeks, the after-hours queue was empty by 9 AM. Nobody gets paged at 2 AM anymore. The agent handles 4,200+ calls per night at 182 ms p95 latency, in English and Hindi, with a 94% first-call resolution rate.
Appointment scheduling that speaks the patient's language
The hospital's call center was spending 60% of agent time on appointment bookings — a repetitive task with clear rules but high volume. Patients called in English, Hindi, Malayalam, and Tamil.
We deployed a multilingual TLM agent trained on the hospital's scheduling rules, doctor availability, and department routing. The agent handles the full booking flow — from greeting to confirmation SMS — with tool access to their HIS (Hospital Information System).
Result: 58% of scheduling calls are now fully automated. Human agents focus on clinical queries and complex cases. Patient wait time dropped from 4 minutes to under 15 seconds.
Principles
Smaller is better
A 3B model fine-tuned on your data beats a 70B model that's never seen it. We optimize for accuracy-per-dollar, not parameter count.
Ship in days, not quarters
Every engagement starts with a 10-day prototype on real data. If it doesn't work, we know fast. If it does, it's already halfway to production.
Agents that act, not just answer
Our agents have tool access — they hit APIs, update records, send messages, and escalate. A chatbot that can only talk is a toy. An agent that can act is infrastructure.
Observable by default
Every agent run is logged, every tool call traced, every decision auditable. You should never wonder "why did it say that?"
Want to work with us?
Whether you want to build with us or build at us — we'd love to hear from you.