Platform
The platform for physical AI. Use it as is, or build on it.
Nabrio connects cameras, sensors and machines to AI models and turns what those models see into actions: rejecting a defective product, opening a gate, alerting a supervisor or signalling a robot. With Nara, teams build complete applications visually and run them in real time. With Reva, they train their own models without code. Everything runs on the customer’s own infrastructure.
[ 01 ]The platform as layers
What we provide, and what stays yours
What people use
Applications
Finished solutions run by end users, and products built and resold by integrators and OEMs, co-branded “Powered by Nabrio”.
What we provide
Nabrio platform
Nara: cameras and sensors, 60+ AI model families, logic and rules, PLCs, robots, MQTT and APIs, dashboards. Reva: custom models.
Where it runs
Your infrastructure
IP cameras, sensors, PLCs and machines, edge devices and PCs, GPU servers, and your own cloud servers.
Alongside
Your systems and third-party apps
MES, SCADA and ERP; Teams, Telegram and email; n8n, Power Automate, Home Assistant, Grafana; cloud services, over MQTT, HTTP, WebSocket and APIs.
[ 02 ]Nara and Reva
From data to model to action
Reva and Nara are designed together. A model trained in Reva deploys to Nara as a Nabrio Model (NAM) file with no extra configuration, and new images from production go back to Reva to retrain it.
01 · train
Reva
Label, auto-label and train models on your own images.
- model → NAM, no config
02 · run
Nara
Run it in a flow that senses, decides and acts, on your hardware.
- new production images → retrain
[ 03 ]How a project runs
Six steps from camera to control signal
- 01ConnectAdd the cameras, sensors and machines to a Nara flow.
- 02DetectUse a bundled model (people, faces, PPE, weapons, vehicles, fire, licence plates, text and more), or train a custom one in Reva.
- 03DecideAdd rules, zones, counters, timers and AI decision nodes.
- 04ActDrive PLC registers, tower lights, gates, robots, MQTT topics, emails, Teams and Telegram, and log data.
- 05ShowBuild a live, multi-page dashboard for operators and managers.
- 06ImproveCollect new images from production, retrain in Reva and redeploy.
[ 04 ]Two ways to use Nabrio
A solution for end users, a foundation for builders
| Use it as a solution | Build on it | |
|---|---|---|
| Who | End users: manufacturers, retailers, operators of buildings and cities | System integrators, solution builders, hardware vendors and OEMs, in-house engineering teams |
| What they do | Start from built-in nodes, bundled models and project templates, set up zones, rules and I/O, and run it | Build their own applications and products on Nara and Reva, then package, resell and support them, co-branded “Powered by Nabrio” |
| What they get | A working AI system in days, without code | A production-ready foundation, so their engineering goes into their product, not the infrastructure under it |
Both run on the same platform, so a customer can start with a ready solution and extend it later, and a partner’s product gets every platform improvement.
[ 05 ]What builders get
Everything a physical AI application needs
- Flows of nodesApplication logic built visually from tested nodes: inputs, AI models, logic and outputs.
- Multi-page dashboardsThe application’s user interface: live video, charts, controls and set-points, with an optional public view for display screens.
- Python script nodeCustom logic inside a flow, where no node exists.
- Plugin systemNew nodes for your own devices, algorithms or integrations.
- HTTP API with scoped API keysControl and data access from your own software, portals and backends.
- HTTP, webhooks, MQTT, WebSocketConnection to any outside system: MES/SCADA, ERP, n8n, cloud services.
- Reva custom models and training pluginsModels for your own objects and defects, deployed to Nara as NAM files, and new training engines through MCP-based plugins.
- Role-based access and multi-device syncApplications that serve many users and cover a whole site.
- “Powered by Nabrio” markCo-branding for partner and OEM products.
- Agent interface (CLI and MCP)UpcomingAI agents that build, deploy and improve flows with the same validated nodes.
[ 06 ]Beyond vision
Starting with vision, expanding to every kind of data
Nabrio started with AI vision and is expanding to every kind of data a physical system produces: sound, text and sensor signals, so machines can understand their environment as a whole and act on it.
| Domain | Today | Next |
|---|---|---|
| Vision | Detection, classification, tracking, faces, pose, actions, OCR, codes, segmentation; custom training in Reva | More model types and training plugins |
| Text and language | Small on-device language and vision-language models (Decider, OmniJev) answer questions about text, images and video in a flow | Language and LLM fine-tuning in Reva |
| Time series and sensors | Read sensors and machines over Modbus, MQTT, HTTP and TCP/IP, with logic, maths and moving-window statistics | Anomaly detection, forecasting and predictive maintenance models trained in Reva |
| Speech and audio | Not yet | Audio classification and speech recognition |
[ 07 ]Deployment and privacy
Your hardware, your data
Nara and Reva run on customer-owned infrastructure: on-premise, at the edge, or on your own cloud servers, and offline where needed. The Nabrio Cloud Portal, coming soon, will handle accounts, organisations, subscriptions, slots, offline licences and downloads. It manages entitlements only and does not process customer data or run the products.
See what Nara sees, on your own cameras.
Download Nara and build your first flow in minutes, or tell us what you need to see and do, and we’ll show you how it runs on your own hardware.