Sovereign mission intelligence
Every mission produces signal: radio traffic, positions, imagery, drone video, weather, sensor feeds. We ingest all of it and answer questions about it in the field, on compute you control, using models fine-tuned for the channels and languages European operations actually run on.
The cost
02Floods, wildfires, heat, industrial accidents, public health emergencies, humanitarian deployments, cross-border conflict. Different departments, different budgets, different chains of command, and the same failure underneath.
Every one of these operations generates enormous quantities of signal: radio traffic, positions, imagery, sensor readings, situation reports. Almost none of it is processed in time to change a decision. It is archived, reviewed months later, and written into a lessons-learned document that the next response will not read.
€650bn
Economic damage from climate and weather extremes across Europe.
60,000
Excess deaths in a European heat season. One hazard, one year.
400+
EU Civil Protection Mechanism requests in the last three years.
€15bn
Spent running those activations, before any damage is repaired.
Figures provisional. Sources to be attached before publication.
What we do
03We ingest everything the mission produces, standardise it into one queryable layer, run it through models fine-tuned for those exact channels, and hand usable intelligence back to the people in the field. On compute they control, while the mission is still running.
The pipeline
0401 Ingest
Radio traffic on the channels actually in use. Positions from every asset carrying a beacon. Imagery from handhelds and vehicle optics, drone video, weather, sensor telemetry. We take it at the source, in whatever malformed state it arrives in.
02 Standardise
Every input is normalised, timestamped against a single mission clock, geo-referenced and deduplicated. Formats that were never designed to sit next to each other become one queryable layer. This is the unglamorous part, and it is most of the work.
03 Infer
Sovereign models run on the deployment's own compute. Speech models fine-tuned per language and per channel. Vision models on the imagery. Sources cross-checked against each other, so one bad input does not become a confident answer.
04 Deliver
Ask a question, get an answer. Spoken back over the same net, as an annotated frame, as a map overlay, as an alert, or as a line in the system the operator already has open. The output adapts to whoever is receiving it.
The hard part
05General speech models are trained on clean audio in a handful of languages. European operations do not sound like that. The channel degrades, the vocabulary is procedural, and the language changes at the border.
Sovereign capability means models trained for those conditions, on European data, on European soil. That work is slow and unglamorous, and it does not transfer to whoever arrives second.
Speech models fine-tuned for field radio rather than clean recordings, per language and per channel, so what an operator actually says survives the transmission.
Models that read handheld and vehicle optics, drone video and aerial frames under the conditions those cameras are genuinely used in, not benchmark conditions.
Local models that hold the mission context and answer questions about it, cross-checking sources so that one bad input does not become a confident answer.
Radio is live. Every other modality follows the same method.
Compute
06Sovereign inference means the model runs where the mission is, on hardware inside the perimeter. That is a hard limit, and it sets what is possible: how much context can be held, how many modalities run at once, how quickly an answer comes back.
So we are deliberate about not pretending otherwise. The platform runs on compute a service already owns, or on compute we bring. As available compute grows, so does what it can absorb. The roadmap that follows is, underneath, a compute roadmap.
Integration
07Every service already has radios, dispatch, mapping, aircraft and a command system. Most of it was procured over a decade, much of it is certified, and none of it is going away.
Anything that requires a service to tear out what it has will not be bought, and should not be. We sit beside the existing stack, take a feed from it, and hand back something it can use in a format it already understands.
Not a radio.We do not sell you comms. We make the comms you already run legible.
Not a replacement C2.Your command system stays where it is. We feed it, we do not compete with it.
Not a cloud service.There is no account to create and no data leaving the perimeter to a region you do not control.
Integration work is scoped per service. No two control rooms are the same.
Roadmap
08Every modality is a compute problem before it is a model problem. The order below is set by what a deployment can actually run, not by what sounds impressive in a deck. Radio is live. Everything after it is stated as what it needs, not as what we have.
Sequence is indicative. Design partners move their own modality up the list.
Dual use
09A wildfire, a city square and a border are the same technical problem: far too much signal, far too little time, and no network worth depending on. These buyers come through different doors and answer to different ministries, and in Europe they increasingly fund each other. We built for all three from the start, because building for one and retrofitting the others does not work.
The mechanism activates and a scratch team, often from several countries, has to understand a situation none of them has seen before.
Many units, one net, and decisions measured in seconds by commanders who cannot see most of what they are commanding.
The same problem with an adversary attached, and no network anyone would be willing to depend on.
One ingest layer, one model stack, one deployment story. The difference between them is procurement, not engineering.
Partners and investment
10The models are the wedge and the standardised layer is the lock in. Both get better the moment they meet real operations, which is why the first deployments matter more than the next feature.
A fire service, a civil protection agency or a defence ministry willing to put a node on a live net and tell us exactly what breaks. You get the capability early and you shape what gets built next. We get the only thing that cannot be bought, which is real traffic.
We are raising to extend the training pipeline beyond radio, stand up the first field deployments with those partners, and buy the compute those deployments need. Briefing and technical detail on request.