Sarivera

Big-pharma clinical execution, for the companies that can't hire it.

We run early-phase trials for emerging sponsors at the level a large sponsor would — design, endpoints, analysis, regulatory strategy, execution. Not software for running a CRO, but a new kind of CRO.

The problem

Small sponsors develop comparable molecules with less success.

Investigational drugs from small-company sponsors were approved at 28 percent, versus 42 percent for large-company sponsors — a fourteen point gap.

A large sponsor employs statisticians, programmers and data engineers full time and spreads them across dozens of trials. A biotech running one trial cannot justify a single one of those hires. So every question goes out to a consultant, one question at a time, and the answer comes back weeks later — by which point the decision has usually already been made.

What we do

We run the trial, on systems we build and own.

Two kinds of company serve this market, and neither does both jobs. Software vendors build the systems but never run a trial. CROs run the trial but license their systems from someone else, and have neither the engineering capacity nor any commercial reason to extend them.

Software vendors

License platforms to the organisations that run trials, and never operate a study themselves. Their analytical layer sits at maximum distance from the work.

Traditional CROs

Execute the trial, but license their systems from someone else. Expertise scales with headcount, so the economics are bounded by what an FTE bills.

Sarivera

Operates the study on systems it builds and owns. Work a conventional CRO staffs with hours is delivered by software — and it improves with each study.

How a trial runs

One governed system, from protocol to readout.

Every stage of the study, who touches it, and what it writes to.

Protocol
Study build
Activation
Conduct
Amendment
Readout

Sarivera

One system. We build it, we run it.

Generated from the protocol

  • Schedule of assessments
  • eCRF and EDC schema
  • Edit checks, visit windows
  • Endpoints · TMF · safety
  • Site records
  • Grants and contracts
  • Budget
Operations, running together
  • Data capture and edit checks
  • Queries raised and resolved
  • Safety events and reporting
  • Monitoring record
  • Site payments on milestones
  • Quality findings
One state — not six, reconciled later
Every one of these writes to the same versioned record immutable snapshots · sha256 · append-only event log · actor, timestamp and lineage on every change

Sites

  • Investigator
  • Study coordinator
Activated and trained
Enters visit and module data Answers queries Investigator signs off Validated before it commits
An amendment reruns the build — forms, checks, visit windows and site budgets update together
The sponsor never assembles this picture from six vendors' exports. It is the operating state of the study, and it is the same state the analysis runs against.

The platform

Built for the regulator from day one, not retrofitted.

The hard part was never the AI. It is the governance underneath it.

The EDC run screen: subject enrolment, eligibility module, and the governed operational state alongside.
The platform conducts the study. Subject enrolment, visit and module data entry, validation before anything commits. The EDC schema is generated from the protocol, not built by hand afterwards.
Analysis Studio: saved analyses on the left, an evidence-bounded response on the right.
Analysis runs on governed data, during conduct. A question in plain language becomes a governed, re-runnable analysis bound to a versioned snapshot — with the judgment calls surfaced to you rather than absorbed into code.
A synthesised view of the complete study state: status, protocol and amendment state, governance, sites, EDC and data.
The whole study, in one answer. Protocol state, amendments, governance, sites, safety, data quality and financials — synthesised across functional boundaries, because they were never siloed in the first place.

Immutable artifact lineage

Every governed artifact is versioned, hashed, and traceable to its source and its full history.

Deterministic guardrails

Agents propose. Deterministic executors apply. The model never gets the last word.

Epoch-correct history

Every operation is read against the protocol version in force at the time. History stays history.

Still to build

21 CFR Part 11 electronic-signature and approval workflows, and subject-identifiable source-document QA. Both are in progress and neither is done.

We know exactly what is built and what is not, and we would rather you heard it here than found it in diligence.

Who

Three companies built from outside big pharma.

David Johnson

David Johnson, Ph.D.

Founder and Chief Executive Officer

I have run clinical development three times from companies that could not afford a clinical development department. At GigaGen I designed and ran the first in-human study of a drug class that had never been in a person before, with a team that would have fit around one table.

At GigaMune I watched science I still believe in stall — not because it was wrong, but because getting it into the clinic cost more than a company our size could carry. That is the more common ending, and it is rarely the molecule's fault.

I built this because I kept hitting the same wall, and because the wall is made of work that software should be doing.

Natera
Founding COO. Natera builds non-invasive molecular diagnostics for reproductive health and oncology — testing that reads cell-free DNA from a blood draw. Now public, with over $1bn in diagnostic product revenue.
GigaGen
Founder and CEO. Recombinant polyclonal antibodies — thousands of distinct antibodies manufactured as a single drug, rather than the one-antibody-per-product model the industry was built on. I designed and ran its first-in-human study. Three drugs from that work are in active clinical studies today; Grifols acquired the company in 2021.
GigaMune
Founder. In vivo CAR-T — delivering the CAR gene to a patient's own T cells inside the body, removing the cell manufacturing that makes current CAR-T cost six figures a dose. Supported by SBIR awards from NCI, NIAID and NIAMS.

Bring us a protocol.

The entry point is a request for proposal on a specific early-phase study. We return a demonstrated study build against your draft protocol in days rather than the weeks a conventional CRO takes to return a bid.

djohnson@sarivera.com