WEREA · TrustTwin OS

Where enterprise assets become trusted AI-ready twins.

WEREA builds TrustTwin OS: the AI-native collaboration and trusted compute layer that lets European organisations run private AI, keep sensitive data where they choose, and scale heavy workloads without dedicated hardware.

Explore the platform See it in production →

High-fidelity digital twin of a carved statue: one arm still a wireframe mesh, the rest reconstructed at full surface fidelity.

3D render output · AerariumChain production pipeline

In production

TrustTwin OS runs today in two products serving real customers: SweetHive and AerariumChain.

Validated in Europe's museums

Heavy 3D data, irreplaceable objects, strict rules on where data can go.

European by architecture

Data residency enforced as hard limits, not promised in marketing.

The problem

European organisations want AI. Most cannot use it safely.

Not because the models are missing, but because trust is missing. Who can the AI see? Where does the data go? Who pays for the compute?

The data-context gap

AI assistants connected to flat chats and shared drives cannot tell what they may know for a given user, project or partner.

The compute gap

AI, rendering, 3D reconstruction and digital twin workloads need GPU, storage and network capacity that most organisations cannot size or optimise.

The trust gap

Cloud and distributed resources can be cheaper and scalable, but availability, compatibility, data location and output validity vary constantly.

The platform

One operating layer. Four deep-tech pillars.

Smart compute routing

Predicts cost and time stage by stage, verifies that declared capacity is really usable, recovers from provider failures and validates every output.

Distributed AI agents and nodes

Private agents that know only what your teams allow. With Agents Node, inference runs on your own machine: prompts and data never leave.

SweetHive Agents Node interface: local models running on this machine, nothing leaves the computer during inference.

High-fidelity 3D processing

Production pipelines for heavy visual datasets, proven on irreplaceable cultural assets.

High-fidelity 3D scan of a polychrome marble bust, reconstructed at conservation quality.

Remote visualization

Stream heavy digital twins to thin clients, without moving the underlying data.

The underlying source data does not move.

How TrustTwin OS works →

Proof

Proven where data are hardest.

We did not validate TrustTwin OS in a lab. We validated it in Europe's museums: heavy 3D data, irreplaceable objects, strict rules on where data can go.

See it in production →

Backed by

Sovereignty

European by architecture, not by marketing.

Data residency is enforced, not promised. Configure local, private, EU-only or country-specific processing, with EU-only profiles that exclude non-European providers entirely.

If a residency rule cannot be guaranteed, the workload does not run.

Private AI · Controlled data residency · Trusted compute