openAut brings supercomputer-grade AI to every building — without replacing your existing systems, locking you into proprietary platforms, or requiring expensive specialists on retainer. Open source. MIT licensed. Ready for public procurement.
Every modern building is already generating a torrent of data — temperatures, pressures, energy draws, occupancy patterns, fault states. Your heating system, ventilation units, chillers and meters are running and recording around the clock.
But that data goes nowhere useful. Siloed inside proprietary BMS platforms, locked behind consultant contracts, invisible to the people who actually operate the building day-to-day.
The result? Energy waste that nobody sees. Faults that fester for weeks. Decisions made on gut feeling instead of data. And when you do want to change that, you face a bill for a new platform, a migration project, and a dependency on a single vendor for the next 20 years.
Public sector organisations face an extra layer: procurement law means you can't simply buy your way out. The solution has to be open, auditable, and reusable.
Existing BMS platforms trap organisations in vendor ecosystems. Switching costs are enormous. Each system speaks its own dialect.
Advanced diagnostics and energy optimisation require expensive consultants. Institutional knowledge walks out the door.
Field data sits in isolated historian systems. Cross-building correlation and pattern recognition are practically impossible.
Cloud-based AI means sensitive operational data leaves your network. On-premise alternatives have required hardware investments only large enterprises could justify — until now.
Public sector organisations operate within the Public Procurement Act, requiring solutions that are transparent, auditable, and vendor-neutral.
At the heart of openAut sits the NVIDIA DGX Spark — a GB10 Grace Blackwell Superchip system capable of running models with up to 200 billion parameters, entirely on-premise. This is the same generation of hardware powering frontier AI research, now deployable in a building's server room.
With 128 GB of unified memory and up to 1 petaFLOP of AI compute at FP4 precision, the DGX Spark can simultaneously run large language models for operator interaction, specialised fault-detection models, energy optimisation algorithms, and anomaly correlation engines — all without a single byte of operational data leaving your network.
Two linked units extend the capability to 405-billion parameter models, covering the most demanding building portfolios. Air-gapped deployments are fully supported — no internet connection required, ever.
MIT is the most permissive licence in open source. Use openAut commercially, modify it freely, integrate it into existing systems, and redistribute it — with or without changes — with no royalties, no notifications, and no permission required.
All configuration, all application profiles, all AI prompt logic — published openly. Security auditors, technical managers and your own team can inspect exactly what the system does with your data. No black boxes, no hidden logic.
Each organisation that deploys openAut can contribute its application profiles, protocol drivers, and FDD models back to the project. The ecosystem improves with every installation — compounding value for every participant.
Every dependency in the openAut stack is open source: pymodbus, BAC0, opcua-asyncio, open62541, Mosquitto, EMQX. If you already hold licences for proprietary drivers like Kepware, those plug in — but they are never required.
Each application profile is fully self-contained: hardware selection, protocol configuration, OPC UA namespaces, AI model parameters, FAT/SAT checklists. A technician who has never seen your building can commission openAut from the documentation alone.
IEC 62443 and NIS2 are designed in from day one — not bolted on later. VLAN segmentation, OPC UA Basic256Sha256, WireGuard VPN, RBAC and audit logging are baseline requirements, not optional extras.
For municipalities, regions and public property owners, the Public Procurement Act creates real constraints on technology adoption. openAut was designed from the outset to work within those constraints, not around them.
Because openAut is MIT-licensed and open source, there is no single vendor to procure. The platform itself is freely available. What your organisation procures are the professional services to implement, configure and maintain it — services that can be put out to open tender and awarded to your preferred regional consultants, existing framework agreements, or your own in-house team.
This means openAut is compatible with the full lifecycle of public procurement: open specification, competitive tendering, independent delivery, and ongoing contribution back to the shared platform.
Adopt the open platform. Procure the expertise. Own the result. Contribute back to the commons.
Your organisation decides to base its building intelligence strategy on openAut — freely, without signing any vendor agreement.
Implementation requirements are specified against the openly published openAut architecture. Any qualified integrator can respond.
Your procured integrators implement, configure and commission the system using the full openAut documentation. All deliverables are reproducible by any other party.
Application profiles, I/O lists, AI configurations and commissioning records belong to your organisation — not the consultant. Transition between integrators at any time.
Improvements, new protocol drivers, or application profiles developed during your project can be contributed back to the shared openAut repository. Your investment strengthens the ecosystem for every other public sector organisation.
openAut is read-only against all field devices. Regulation and control remain entirely with field PLCs and DDC controllers. The AI advises. Humans and field controllers decide.
All inference runs on the on-premise DGX Spark. No operational data — temperatures, occupancy, energy readings — is transmitted to external APIs or cloud services unless you explicitly configure it.
The core stack runs entirely on open source libraries. No proprietary drivers, licences or SDKs are required to deploy or operate openAut.
openAut coexists alongside Siemens Desigo, Schneider EcoStruxure, Trend, Regin and every other platform. It reads their data. It learns their patterns. It never competes with or disrupts them.
Every design decision is evaluated against the question: does this create lock-in? If the answer is yes, openAut finds another path. The architecture is modular, documented, and walkable by any competent integrator.
openAut is open source, actively developed, and ready for pilot deployments. Explore the documentation, contribute a protocol driver, or adapt an application profile for your building portfolio.