A partner with equal responsibility.
Not an outsourcing desk.
Most outsourcing sells you hours and hands back whatever the spec literally said. We take the outcome on with you — a pod of named humans working alongside our AI agents, inside your tools, accountable for the same result you are.
Human employees and AI agents, on the same pod.
Every pod is a mix. The split is deliberate: people take the decisions, agents take the volume — and the boundary is written down, not improvised.
Scope, trade-offs, quality bars, and anything a customer or regulator will see. A named person is accountable for each of those.
Research, extraction, first drafts, test scaffolding, ticket triage, call handling. The work that scales badly with headcount.
Agent output is a proposal, not a decision. A human on the pod signs off before anything reaches your repo or your customer.
What partnership actually changes.
You send a spec, they send back hours.
A resource is assigned, then quietly swapped.
Progress is a status call on Friday.
Scope creep becomes a change request.
Knowledge leaves when the contract ends.
We own the outcome. If the spec is wrong, we say so before building it.
You know the people by name. Changes are discussed, not discovered.
You are in the same tracker and the same channel as the team, every day.
Small course corrections are part of the work, not a negotiation.
Everything is documented in your repo, your tooling, your account.
Pods, not CVs.
You hire a capability with a named lead, not a stack of profiles to filter. Every pod comes with agent coverage already wired in.
Full-stack, backend, mobile and platform engineers who ship to your repo and your standards.
Agent design, RAG pipelines, evals and guardrails — the work our own products are built on.
Pipelines, warehousing and analytics engineering, with the reporting layer your team actually uses.
Human supervisors paired with Nutaan voice agents, covering the queue around the clock.
Product and brand design that arrives as components, not as flat mockups to reinterpret.
Healthcare, BFSI and pharma reviewers who validate output before it reaches your customer.
Four things we commit to in writing.
We work inside your GitHub, your tracker, your cloud — not a black box we hand over later.
Direct access to the people doing the work. No account manager relaying questions.
We agree what done looks like up front, and report against that — not against hours logged.
Work product, models and documentation belong to you, under NDA and a signed DPA from day one.
Domains we have already shipped in.
These are not sectors we are willing to learn on your budget. Each one has people on the bench who have done the work before.
Eligibility, coding, claims, denials and AR follow-up — with coders reviewing what the agents draft.
End-to-end billing operations across specialties, tuned to your clearinghouse and payer mix.
Record review, chronology building and demand-package drafting, every fact cited to the page.
Voice, chat and document agents with evals, guardrails and human review built in from the start.
Cloud, CI/CD, integrations and the unglamorous plumbing that keeps a product up.
iOS and Android where the AI is part of the product, not a chatbot bolted to the corner.
Marketing sites and portals that ship in weeks, on a stack your team can actually edit.
Where AI belongs in your clinical and revenue workflows, what it must never touch, and how to prove it to a reviewer.
Prove it in two weeks.
45 minutes on the problem, the constraints and what success looks like. No deck.
We come back with the exact people, the agent coverage, the cadence and the price.
A real slice of work, delivered. You judge us on that, not on references.
Continue monthly, grow the pod, or walk away owning everything built so far.
Led by a healthcare operator, not a sales desk.
Tecosys is founded by Avishek Bhattacharjee, a healthcare entrepreneur who has spent his career in the industry across the US and India. When we scope healthcare RCM, billing or medico-legal work, you are talking to someone who has run it — not an account manager reading from a deck.
Connect on LinkedInTell us what you are trying to ship.
Bring the problem, not a specification. If a pod is not the right answer, we will say so on the first call.