From prototype to production, on your terms.

Any AI tool can write a prototype. Weaver makes it an app a company can run for years: who gets in, where it runs, what AI costs, how it reaches your systems and what reaches production.

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One request, end to end

One way in. Your identity all the way through.

Who gets in?

Access is decided by the platform, not by each app’s own code.

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Weaver gate

Every request passes our zero-trust gate before it reaches an app. Removing someone’s access takes effect at once.

Your company sign-in on every app

Microsoft Entra or your own identity provider, with real roles in each app.

Your customers use their own sign-in

Other organizations sign in with their own identity provider and see only the apps assigned to them.

IT sees every app

One console shows every app, who can use it and what it is allowed to reach.

Where does it run?

Start in our cloud and end inside your doors, one step at a time.

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1 · Shared

Start building in our European cloud, each organization isolated from the others.

2 · Dedicated

Your own cluster in Europe, run by us. Encrypted at rest, with encrypted off-site backups.

3 · Your cluster

Production apps and their data run in your own Kubernetes, set up together with us. We keep building and managing them.

4 · Fully on-prem

Our direction: the whole platform, building and AI endpoints inside your network.

What if we leave?

There is no shared backend to untangle and nothing to convert.

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Standard code, in your git

Each app is a TypeScript codebase your engineers can read, review and take over.

Its own database

Every app keeps its data in its own database, not in a backend shared with other apps.

Your AI contracts

Bring your own AI models. There are no token credits to buy from us.

Ready for an exit plan

Your third-party risk rules can require an exit strategy. We go through it with you during the pilot.

What does AI cost us?

AI spend is set by IT, not discovered on the invoice.

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Budgets per person and per app

Spending stops at the limit you set.

Alerts on spend

IT hears about rising spend before the month ends.

Your own models

Plug in your own AI endpoints, such as Azure AI Foundry. Each app and person gets its own key and budget, and IT chooses which models apps may use.

Every request attributed

Each AI request is recorded against an app and a person.

How does it reach our systems?

Apps connect to your data the way IT would connect them.

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Connectors approved by IT

SharePoint, Microsoft 365, Google Drive, Gmail, NetSuite and Autodesk. IT approves each app’s use, operation by operation. Credentials never sit in app code.

Your data rules still apply

Connectors carry the signed-in person’s identity to your systems, so your data platform’s row-level security can decide what each person sees.

Apps work together

One app can call another as the signed-in person, with that person’s own permissions.

Can we trust what it builds?

What reaches production is checked, owned and traceable.

EVERY CHANGE, A PULL REQUESTCHANGETYPESTESTSSCANLIVEA failed scan blocks the release.

Strict rules, checked and scanned

Every change runs through type checks, tests and our own code rules for AI-written apps. Before going live, the exact version is scanned for vulnerable code, dependencies and secrets. A failed scan blocks it.

Your code, in your git

A standard TypeScript codebase your engineers can read, review and take over.

Full traceability

Every change is a pull request. You can see who or which AI agent made it, and when.

Each app isolated

Its own database, sign-in and storage. No public ingress.

What comes next

Every app you build becomes data your AI can use.

Processes that lived in spreadsheets become structured data in real apps. Connect your company’s AI assistant once, and it can work across all of it: every app you have access to, with your permissions.

Example

We’ve been asked to bid on a bridge in Norway. Where do we start?

I went through your project apps and found what you need:

  • 14 reference projects with a similar span and site conditions
  • A cost breakdown based on the closest three
  • A draft project plan and the colleagues who led those projects

Shall I send them the draft to review?

Answered from: Projects · Cost estimates · Resource planning

One address for all your apps

Your AI assistant connects once and can search and act across every app you have access to.

Your permissions, not more

It signs in as you. It sees only what you may see and does only what you may do.

Agents that run whole processes

Agents work across your apps and connected systems, and stop for a person’s approval when it matters.

Inside the same rules

The same gate, sign-in, AI budgets and audit trail as everything else on Weaver.

And also

  • One catalog of every app an employee can use
  • Teach the building agent your house rules once
  • Sign-in, roles and data wired the same way in every app
  • Platform improvements reach existing apps
  • Your brand on every app

See it with one of your own processes.

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