The Agent OS

Describe the work. The OS builds the application.

Eight functions buying eight AI tools means eight security reviews, eight vendors, and nothing one team learns reaching the next.

Agent OS doesn't just run SyncIQ's applications. It builds them. Tell it what your team does and it stands up the application: the data model, the workflows, the agents, the screens.

Data secure in your cloud21 CFR Part 11-awareSOC 2 Type II (in progress)ISO 27001 (in progress)Your data never trains foundation modelsTrust and security →

The economics

The second application is a fraction of the work of the first.

  • 01

    Another market is weeks away.

    Extending an application to a new submission type, market or document class is configuration on the OS. The engineering underneath it is already built and evaluated.

  • 02

    One security review covers every application.

    Your reviewers qualify the OS once. Every application that follows arrives inside what they already approved, so adding a function does not restart the security review.

    Security, compliance and deployment in full
  • 03

    Every function starts with traceability already built.

    Sourcing, review and audit are properties of the OS, so each pharma function SyncIQ enters begins with them in place. The financial services work stands on the same foundation.

How it gets built

From plain language to a running application.

  1. Describe the work

    plain language

  2. Data model

    to your standards

  3. Workflows

    agentic and deterministic

  4. Agents

    the right one per job

  5. Screens

    where your team works

  6. Running application

    live · audited

The output is one application: one URL, one deploy, one audit trail.

What it's made of

Four layers.

Audit trail, version control, role-based access and evals are already in there. Not added after the pilot. That's why a new journey takes weeks, and why your sixth application costs a fraction of your first.

  1. Experience

    Complete journeys where your team and the agents work side by side.

    • Editor
    • Tables
    • Forms
    • Dashboards
    • Chat
  2. Workflow

    Agentic and deterministic steps, orchestrated end to end.

  3. Agents

    Purpose-built agents, the right one for each job.

    • Tool-using
    • Retrieval
    • Structured data
    • Browser
  4. Data & knowledge

    Your systems, the public record, your own guidelines and history. The domain knowledge that makes the output pharma-grade instead of generic.

Built in, not bolted on

  • Task management
  • Version control
  • Role-based access
  • Full audit trail
  • Evals on every workflow
The architecture in full

What you can build

The workflow you need next may not have a product name yet.

Regulatory Atlas, Clinical Scribe and Formulary Verification are applications on the Agent OS, and nothing about the OS is specific to them. If your work answers to a regulator and runs on documents, describe it and we'll tell you what standing it up involves.

Brought to the OS so far

Each of these started as a described workflow. Nothing about that first step is different for yours.

One deployment

The application your team asks for next lands inside all of it.

  1. Regulatory AtlasRegulatory Affairs
  2. Clinical ScribeClinical Development
  3. Formulary VerificationMarket Access
  4. Investigation DeskQuality & Manufacturing
  5. Aggregate SafetyPharmacovigilance
  6. MedInfo DeskMedical Affairs
  7. Promo CheckCommercial
  8. Evidence DeskR&D
  9. Your journeyweeks, not quarters

Agent OS · one platform

Running today
  • One knowledge base

    Your templates, SOP checklists and past submissions, shared by every application.

  • One audit trail

    Every run logged. Every authored value traceable to the source page it came from.

  • One security review

    Pass it once. Every function you add afterwards inherits it.

The full trust posture

Bring us the journey we haven't built yet.

Describe the work. We build the application on the OS, configured to your standards, in your environment.

Build with us

Your data stays in your environment. Customer data never trains foundation models.