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NovaeMinds

BEYOND SYSTEMS

AI and IoT consulting and development for operations that can't afford to fail. Every answer backed by evidence; your data wherever you decide.

ABOUT THE COMPANY

WE HAVE DONE THIS BEFORE

We come from building and running industrial IoT platforms for tier-one telecom operators and utilities: more than a million devices responding in under 200 ms, device management for a national smart-metering programme and more than ten years serving the monitoring centre of a major power company.

We have brought local AI to defence operators, built industrial cybersecurity that works offline, led and delivered national and European R&D projects, and installed the electrical and communications infrastructure all of it runs on. That experience taught us something essential:

AI only belongs in operations when it can prove what it says.

That is why we design and develop systems and products that can be audited, operated and understood.

STEP 01
01 Written assessment 45 minutes with the team and a technical report you keep.
STEP 02
02 A pilot on your data A success criterion agreed before we start.
STEP 03
03 Production, no black boxes Operated, documented and handed over to your team.

OUR APPROACH

THE APPROACH

This is how we understand modern engineering

We are a small, senior team that does consulting, custom development and our own products, and stays on to run what we build if you need it. We come from systems that cannot go down, and that shapes how we work: we measure before we promise, AI has to justify what it says and your data stays wherever you decide. The people you talk to are the people who build it. Open each principle to see what it means for your operation.

01

Systems that hold their stability under pressure

A demand spike gives no warning. We design platforms that scale with the load, contain the failure and recover on their own, like the ones we have run with more than a million devices.

The load changes; the service does not.

More info >
INPUT Demand spike
Capacity control
SCALE Capacity that follows real load
ISOLATE Failure stays inside its domain
MEASURE Continuity proven, not assumed
Detection Containment Recovery
Systems that hold their stability under pressure: demand spike → capacity control → capacity that follows real load; failure stays inside its domain; continuity proven, not assumed.
02

We design for operation, not for theory

What works on the whiteboard breaks with the first spike or the first invoice. We test every decision against real load, failures and cost before we build, and the infrastructure is written as code.

Every service has a clear purpose and a cost you can point at.

More info >
INPUT Architecture decision
Test bench and declarative infra
LOAD Behaviour under real traffic
FAILURE Response to a partial outage
COST Spend attributed to each service
Hypothesis Trial Provisioning
We design for operation, not for theory: architecture decision → test bench and declarative infra → behaviour under real traffic; response to a partial outage; spend attributed to each service.
03

AI embedded in the operation, and accountable

A model that is wrong sounds just as sure as when it is right. Ours pairs every prediction with its uncertainty, its explanation and a warning when the data is unusual. If it can’t justify itself, a person decides.

AI that is part of the system, not a separate module.

More info >
INPUT Process data
Model in production
PREDICT Anticipates the deviation
EXPLAIN How far to trust it, and why
ACT With a human in the loop if needed
Ingestion Inference Action
AI embedded in the operation, and accountable: process data → model in production → anticipates the deviation; how far to trust it, and why; acts with a human in the loop if needed.
04

IoT with critical infrastructure

Thousands of units in the field, each with its own firmware and coverage. Its own identity per unit, ordered telemetry even when the network fails and verified remote commands, as in national-scale smart-meter rollouts.

From the edge to the cloud, with no weak points.

More info >
INPUT Device fleet
Edge gateway
IDENTITY Its own credential per unit
TELEMETRY Reliable, ordered signal
CONTROL Verified remote command
Provisioning Telemetry Control
IoT with critical infrastructure: device fleet → edge gateway → its own credential per unit; reliable, ordered signal; verified remote command.
05

Scalability without unnecessary complexity

Growing should not mean rewriting. We measure, isolate the piece that saturates and extend only that one: no accumulated complexity, and a cost that grows in proportion, not in jumps.

Simplicity is a principle, not a sacrifice.

More info >
INPUT Projected growth
Explicit limits
FOCUS Only the saturating piece grows
DEBT No accumulated complexity
COST Proportional growth
Measure Isolate Extend
Scalability without unnecessary complexity: projected growth → explicit limits → only the saturating piece grows; no accumulated complexity; proportional growth.
06

We operate what we build, and it shows when you use it

Delivering is not finishing. We leave it observed, redundant and with an automated, rehearsed response, documented and handed over to your team. And if you prefer, we run it for you.

Resilience is a behaviour, not a concept.

More info >
INPUT System in production
Observability and automated response
ALERT Actionable signal, not noise
RUNBOOK Written and rehearsed response
PANEL State readable without a manual
Observe Respond Explain
We operate what we build: system in production → observability and automated response → actionable signal, not noise; written and rehearsed response; state readable without a manual.
SKIP

SERVICES

NOVAE SKILLS
Abstract composition of a grid in perspective, representing coordinated AI agents

Applied AI: from pilot to production

Your pilot works in the demo but not in operations. We design it, develop it and take it to production with a defined scope, continuous evaluation, traceability and human control: AI you can audit.

  • Use cases
  • Human-in-the-loop agents
  • Document retrieval
  • Continuous evaluation
  • Integration
  • Training
Network of connected nodes on a dark background, representing a fleet of connected devices

AIoT, edge and telemetry

AIoT is IoT with AI built in: every reading arrives analysed, with anything anomalous already flagged. We have our own platform, but you don’t need to replace yours: we improve the one you already have with AI, edge, per-unit security and offline operation.

  • Fleet provisioning
  • Per-unit identity and security
  • Telemetry
  • OTA updates
  • AI at the edge
  • Offline operation
Overlapping wave bands, representing real-time event streams

Critical systems engineering

We design and develop distributed and real-time systems that absorb spikes, isolate failures and can be observed. And when the bottleneck can no longer be fixed by adding machines: profiling, redesign and verification under load.

  • Distributed architecture
  • Event ingestion
  • High performance
  • Observability
  • Load and failure testing
  • Process automation
Concentric arcs and sweep lines, representing surveillance and detection

R&D and consortium projects

We prepare, coordinate and deliver national and European R&D projects in defence, security, energy, health and space: from the proposal to a demonstrator that works.

  • Proposals and consortia
  • Work packages
  • Demonstrators
  • Defence and security
  • Space
  • Technology transfer

PRODUCTS

AIoT PLATFORM

NOVAEOPS

Your devices, your data and an AI verdict on every reading. Cloud, on-prem or at the edge.

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PREDICTIVE AI

COGNIX

Detects anomalies, predicts and classifies, and every answer tells you how far to trust it.

SEE MORE
DOCUMENT AI

RAGNIX

Cited answers from your manuals, whole procedures, without a document leaving your network.

SEE MORE
AI GOVERNANCE

PRAESIDIX

Coming soon. Which tools each AI agent may use, with what permissions, and a record of it all.

SEE MORE
IN THE WORKS

COMING SOON

Another product on the way. We will tell you about it here once it is ready.

CASE STUDIES

What the team has done

Real projects by members of the team, anonymised for confidentiality: the sector and the result, without the client’s name.

DEFENCE

Local AI for surveillance operators

Challenge
Look up the operations manual and review control-room activity without a single piece of data leaving the network.
What we did
A 100 % local assistant that answers with citations to the manual, forensic reports and six suspicious-pattern detectors that cite every audit record.
Result
Validated with several simultaneous users before the client demo, and vessel detection on video with 89.7 % precision in the proof of concept.
UTILITIES

More than a million devices, managed remotely

Challenge
Run a fleet of more than a million units without sending a technician out for every incident.
What we did
A device-management platform at scale, with the units managed remotely.
Result
78 % fewer technician call-outs and under 200 ms round trip.
INDUSTRY

Industrial cybersecurity, offline

Challenge
Know what is on an industrial network and what vulnerabilities it has without sending a single packet or relying on the internet.
What we did
A probe built from scratch in six months: passive analysis of industrial protocols, more than 300,000 vulnerabilities searchable locally and anomaly detection.
Result
Zero packets lost over an hour and a half of live demo, using less than 1 GB of memory.

FAQ

What people usually ask us

What does NovaeMinds do?

We design, develop and run AI and IoT systems for operations that can’t afford to fail: applied AI, AIoT and edge platforms, critical systems and R&D projects. We do it with our own products —NovaeOps, CogniX and RAGNIX— that make every project cheaper, and with a team where the people you talk to are the people who build it.

Do you do consulting or development too?

Both. We help you decide what is worth doing, and then we develop it to measure, integrate it with your systems, put it into production and, if you want, run it. We also train your team so they can maintain it.

Can I improve my IoT platform without replacing it?

Yes. Although we have our own platform, you don’t need to migrate to improve: we add AI, edge, per-unit security or offline operation to the platform you already have.

Why do so many AI pilots never reach production?

Because they are designed for the demo, not for operations: unprepared data, no success criterion, no integration and nobody accountable when the AI gets it wrong. According to MIT, 95 % of organisations get no measurable return from their generative AI pilots. We set the success criterion before we start.

Can you work without our data leaving our network?

Yes. Our products run on your infrastructure, at the edge or offline, and we can develop inside your network.

How much does it cost to get started?

It depends on the scope. That is why we start with a 45-minute assessment and, if it makes sense, a pilot with a fixed scope and price before committing to anything else.

Do you work with small companies?

Yes: municipalities, water service companies, irrigation communities, energy communities and industrial SMEs. And some of our products will be available to buy directly, without a project.

CONTACT

Tell us what your operation has to withstand.

45 minutes with the team that would build it. You leave with a written technical assessment, whether we work together or not.

BOOK AN ASSESSMENT