The enterprise OS for applied AI

Govern every AI workflow.

Built for regulated enterprises. Governed by design. Trusted by default.

erup Enterprise OS

model agnostic · zero egress · any LLM · any cloud

Agentic development life cycle

  1. Design

    intent → verified specification

  2. Build

    governed delivery

  3. Run

    sovereign inference

  4. Operate

    governed runtime

  5. Audit

    evidence, exportable

Unified control plane

  • Objective engine
  • Policy engine
  • Authorization gate
  • Sovereign routing
  • Physical grounding
  • Evidence chain
The problem it solves

The pilot works. Then someone asks what it actually did.

AI moves fast. Governance shouldn’t slow it down. erup brings clarity, control and confidence to every AI workflow.

Without governance

  • Multiple AI tools

    scattered across teams

  • Manual approvals

    happen outside audit trails

  • Scattered evidence

    siloed and hard to retrieve

  • Unknown AI usage

    shadow AI creates risk

  • Separate security tools

    inconsistent and scattered

With erup

  • One governance platform

    Everything in one place

  • Automated approval workflows

    Policy-driven, always logged

  • Evidence generated automatically

    Verifiable audit trails

  • Complete visibility

    Total observability across usage

  • Security built in

    Controls enforced at every layer

What erup is

A product house for applied AI.

Seven products. Five stages. One control plane.

Each product owns one stage of the agentic development life cycle — Design, Build, Run, Operate and Audit. Together they form a unified system that ensures every AI decision is governed, secure and auditable — so governance isn’t added later, it’s built in from the start.

erup Enterprise OS

One control plane · every stage of the ADLC

Canvas

Design · Enterprise rapid prototyping

Turn a product brief into a working prototype, a shared review and versioned delivery documents.

CoBolt

Build · Governed AI development IDE

Put AI agents to work on your codebase under policy, approval, sandboxing and an audit trail.

Tempo

Run · Model & knowledge control plane

Route, meter and govern the models and enterprise knowledge you actually control.

Mira

Operate · Governed enterprise browser

A desktop browser where every site opens only after policy allows it, and every action is recorded.

SignalDesk

Operate · Desktop communication workspace

Email, calendars, contacts, tasks and workflow design in one desktop workspace built for informed decisions.

OneMail

Operate · Enterprise email & work management

Mailboxes, company knowledge, people and AI workflows in one workspace, so messages become owned work.

PenTrail

Audit · Local-first evidence platform

Create audit-ready evidence and continuous verification, generated locally.

Deterministic control points

End-to-end audit trails

Enterprise-grade security

Built for regulated industries

High-level architecture

One business objective in. Your entire delivery estate, governed.

Signals you already have flow in from the left. Governed outcomes, with evidence attached, leave to the right. The operating system is what sits between them.

Inputs · signals you already have

  • Objective

    the outcome to deliver

  • Backlog

    Jira · ADO · Linear

  • Codebase

    repos, legacy, mainframe

  • Knowledge

    private corpus

  • Models

    local & frontier

  • Identity

    SSO · RBAC · tenancy

  • Policy

    managed & signed

erup Enterprise OS

model agnostic · zero egress · any LLM · any cloud · on-prem, VPC or fully air-gapped

Agentic development life cycle · ADLC

  1. Design

    intent → verified specification

  2. Build

    governed delivery

  3. Run

    sovereign inference

  4. Operate

    governed runtime

  5. Audit

    evidence, exportable

Unified control plane · governs every stage above

  • Objective engineoutcome → verified spec
  • Policy enginefive layers · deny-first
  • Authorization gateone chokepoint · every side effect
  • Sovereign routinglocal first · policy-gated
  • Physical groundingclaim ≠ execution
  • Evidence chainhash-chained · signed

Buy the platform, or buy the function — every capability sells on its own, always with the control plane. The models, clouds and tools underneath are replaceable. The control plane is the harness that keeps evolving.

Outcomes · with evidence attached

  • Specifications

    versioned

  • Software

    shipped

  • Legacy

    modernized

  • Inference

    sovereign

  • Access

    governed

  • Vulnerabilities

    gated

  • Evidence

    exportable

Explore the platform

Seven products. One platform to govern every stage of delivery.

Explore each product to see how erup brings governance, security and observability to every stage of the agentic development life cycle — Design, Build, Run, Operate and Audit.

Canvas

Design · Enterprise rapid prototyping

Canvas turns a product brief into a working application prototype, brings team feedback and delivery documents together, and prepares an engineering handoff with the reasoning attached.

  • A working prototype

    Generate connected routes and inspect desktop, tablet and mobile previews in a sandboxed runtime.

  • Documents from the work

    Create and version a PRD, a Technical Requirements Document and an Engineering Plan.

  • Evidence for the handoff

    Inspect Visual QA, design-system checks and build results before a configured GitHub handoff.

How they interlock

Each stage governs a different handoff.

Ungoverned handoffs are where evidence disappears. Each product is useful alone — but designed to close the gaps between the stages on either side of it.

01

Design

Canvas turns intent into a prototype, a reviewed spec and delivery docs an architect approves.

02

Build

CoBolt takes that work into production behind one policy gate, signing the record as it goes.

03

Run

Tempo supplies the models and private knowledge, with no outbound path opened.

04

Operate

Mira, SignalDesk and OneMail govern the browser, the desktop and the inbox where the work happens.

05

Audit

PenTrail proves code, dependencies and AI artefacts are safe — locally, with exportable evidence.

Unified control plane · governs every stage above

erup governs the whole path: what you design, what you build, what it runs on, where the work happens, & how it is proven.

Who we build for

Two people have to agree. We wrote this for both.

Security, Risk & Compliance

Accountable for systems you did not build. You need to know what AI is permitted, what it did, and whether it holds up under examination.

  • CISO
  • Compliance Officer
  • DPO
  • Chief Risk Officer

Technology & Engineering

You need real speed plus inspectable architecture — one enforcement point, credentials in your custody, in-boundary deployment.

  • CIO
  • CTO
  • Head of Engineering

The same evidence satisfies both.

Built for regulated operations

Where the stakes make proof mandatory.

Financial services

  • Banking
  • Capital markets
  • Insurance
  • NBFC
  • Wealth & asset management

Healthcare & life sciences

  • Providers
  • Payers
  • Pharma
  • Biotech
  • Medical devices

Public sector & defence

  • Government
  • Aerospace
  • Utilities
  • Critical national infrastructure

Industry at scale

  • Manufacturing
  • Chemicals
  • Automotive
  • Power
  • Logistics
  • Airports

Professional services

  • Legal
  • Audit
  • Accounting
  • Consulting
Impact that matters

Real outcomes. Measurable impact.

erup helps enterprises build, run and govern AI systems with confidence and complete control.

5

Lifecycle stages

Design, Build, Run, Operate and Audit — one control plane governs every stage.

100%

Audit ready

Every action is documented, traceable and verifiable.

7

Governed products

One platform. Seven products. One control model.

Zero

Missing evidence

Every action is captured automatically, every time.

Ready to govern your AI?

Join leading teams who trust erup to build, run and govern AI systems at scale.

Enterprise ready
Secure by design
Built for scale
Evidence at every step
Talk to Erup

Bring AI into your enterprise, with confidence.

Let’s talk about a pilot, a platform evaluation, or where AI fits in your operating stack. A real conversation with the team that builds the products.