Pramana (working name) by VedAGI · Verified AI for life sciences

The lock on a number before it leaves the building. Next, a chain of its versions.

AI can draft the pack. It cannot be the source of the figures.

  • Recompute
  • Lock
  • Receipt
  • Chain: being built

Today, Pramana recomputes each figure from its source, labels every estimate, and locks the figures until a named person signs. The receiver gets a signed receipt they can check in a browser, without installing anything. Being built, not live yet: each figure will become a chain of locked versions, each signed by a named person, where version two cites version one.

Products

Two products. A person stays in charge of both.

Pramana (working name) is the lead product, shown above. Serlyx is the second.

Pramana (working name)

For market access, HEOR (health economics and outcomes research) and evidence teams. It recomputes each figure from your own model, labels every estimate, and locks the figures until a named person signs. The receiver gets a signed receipt they can check in a browser.

Being built, not live yet: a chain of locked versions for each figure.

Serlyx

For underwriters. Serlyx helps them assess AI risk and E&O (errors and omissions) exposure for companies that build or use AI. It produces a structured risk assessment and a binder-ready summary. Every number it cannot verify from source is labeled as an estimate, and a human underwriter makes the decision.

What ties them together

A person decides. Estimates are labeled. Your data stays with you.

A person decides

In Pramana (working name), AI may plan the work, code computes every figure, and a named person signs. In Serlyx, the underwriter makes the decision. AI supports that person and never replaces them.

Estimates are labeled

When a number is an estimate, both products say so, so it is read as an estimate and not as a measured fact.

Your data stays on your side

Pramana (working name) is local-first. Serlyx runs locally, works offline, and denies network access by default.

They stop instead of guessing. Pramana (working name) blocks a send when figures are unlocked or unlabeled. Serlyx refuses what it cannot write safely.

Who they are for

The team that builds the pack, the person who signs it, and the underwriter who decides.

Pramana (working name): market access, health economics and outcomes research (HEOR), and evidence teams who already produce payer and health technology assessment (HTA) packs, including AMCP (Academy of Managed Care Pharmacy) dossiers, and the person who has to sign them.

Serlyx: E&O and technology-liability underwriters at insurers and MGAs (managing general agents) who need to assess the AI risk of companies that build or use AI.

What Pramana (working name) does today

Four moves.

01

Typed figures

A per member per month (PMPM) cost is a value with a unit and a kind, not a clause in a paragraph.

02

Sandbox math

Formulas run in code. Models may propose a formula. They do not write the value.

03

Send lock

Unlocked or unlabeled figures cannot export.

04

Receipt

What was computed, from which sources, under which formula, signed by whom.

Being built, not live yet: each figure will become a chain of locked versions. Each version will be locked on its own by a named person, and a revision or clarification released through Pramana (working name) will be a new version of a figure it already holds, with a receipt that cites version one. A payer's adjusted scenario will stay separate from the manufacturer's signed version.

What Pramana (working name) is not

It locks the figures. It does not replace the work.

Not a writing assistant

Prose can be drafted anywhere, including by AI. Pramana locks the figures the prose points at.

Not a new economic model

You keep your model. It stays the calculator, and the reviewer still opens it. Pramana recomputes from it.

Not a score or a replacement for the signer

A human with the signer role locks the figures and stays accountable for the release.

Why VedAGI

Human-aligned AI, in practice.

AI is moving fast into life sciences. Large language models (LLMs) can produce figures that look right but cannot be traced to a source. In a payer or HTA pack, that is a risk no signer should have to carry.

Our answer in Pramana (working name): AI may plan the work. Code computes the numbers. A named human signs and stays accountable.

The same idea guides Serlyx: the underwriter, not the model, makes the decision, and estimates are labeled as estimates.

Human-aligned

What human-aligned means at VedAGI.

Human-aligned, for us, means the person who carries a high-stakes decision stays accountable. AI strengthens that person's judgment and never replaces it.

Accountability stays with a person

In Pramana (working name), a named person with the signer role locks the figures and answers for the release. In Serlyx, the underwriter makes the decision. AI supports that person. It does not sign or decide.

AI never mints a final figure

In Pramana (working name), models may plan the work and propose a formula. Code computes the value from your sources. A model never writes the final number.

Every number is traceable

In Pramana (working name), each figure records its sources, its formula, and who signed it, so payers, HTA reviewers, auditors, and boards can check it.

Estimates are always labelled

In both products, an estimate is labeled as an estimate. In Pramana (working name), when the evidence is thin, the figure is marked ESTIMATE in the workbench and in the exported table, so it does not pass as computed.

Your data stays on your side. In Pramana (working name), the receipt carries source fingerprints, not your files. Serlyx runs locally and works offline.

Industries

Pramana (working name) is built for life sciences first: the market access, HEOR, and evidence teams whose figures go to payers and HTA reviewers. Serlyx is for insurance underwriting.

Get in Touch

If you are about to send a table you cannot recompute, talk to us.

If you assess the AI risk of companies you insure, talk to us about Serlyx.

VedAGI. Intelligence for Humanity.