Approach

Why nobody has shipped this yet.

The wall every digital twin hits, the way past it, and what the next eighteen months have to prove.

Model drift — a digital model and a real patient diverging over time as the body changes
The Problem

A body changes. A model calibrated once does not.

Re-tuning is easy. Certifying it is not. That is the blocker — and the business.

⚡

Everyone re-tunes by hand

A model is re-fitted by engineers and shipped as a new version. That cadence cannot follow a patient.

🔧

Automating it is easy

An engineer could build an agent that re-tunes a model this afternoon.

📋

Certifying it is not

What they cannot do is hand a regulator a file that says why it is safe. No existing regime covers a hybrid model re-tuned at runtime.

Our Approach

Pre-authorize a bounded envelope of autonomy,
not a list of changes.

The moat is not the anatomy. It is the paperwork nobody else wants to write.

01

Autonomy is a second axis

An agent's authority over a model — graded A0 to A4 — sizes the evidence required, alongside model risk. Raise the authority, raise the burden.

02

The gate sits before compute

A constant without primary-source provenance does not degrade gracefully. It refuses to run, and is hidden from the model picker.

03

Evidence accrues at runtime

Provenance is generated as the agent acts inside the envelope — continuously, rather than once at design time.

Roadmap

Eighteen months. Three gates.

Every gate is a number someone else can check.

Months 1–6
Hepatic & renal core
Complete the two organ packages to academic depth. Liver gets Child-Pugh and MELD; kidney gets the progression curve.
Months 7–12
Cardio: live signals in
Heart rate and breathing — real measurements from one real person, fed continuously into the shadow.
Months 13–18
Credibility profile proven
The evidence base that bridges two regulatory regimes — mechanistic models and AI-enabled devices.

Talk to us if you build models
that have to stay true.

Whether you are seeking co-founder roles, research partnerships, or engineering internships in CS, DS, AI, and EE.

info@telarisbio.com LinkedIn badrinarayanan.in