Air-gapped, on-premise, or hosted in the EU
A complete engineering estate — requirements, traceability, mission analysis and training — deployable inside your own network, with the AI models themselves running on hardware you control. No foreign cloud in the data path, and no dependency you cannot terminate.
Or train a satellite-image classifier right now — in your browser, sending nothing anywhere.
Or first.
Built on proprietary technology with advanced AI integration for unprecedented project visibility and control
Proprietary technology enables complex dependency tracking and impact analysis across all project elements.
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Track every requirement from conception to implementation with bi-directional traceability and impact visualization.
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Advanced live updates keep distributed teams synchronized with instant change notifications across all platforms.
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Intelligent risk assessment, automated requirement generation, and predictive project analytics.
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Break down complex projects: objectives → constraints → requirements → tasks with full visibility.
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Comprehensive risk identification, mitigation tracking, and impact analysis with predictive modeling.
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Seamlessly integrate with leading open source language models for enhanced AI capabilities and customization.
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Advanced query processing to extract structured insights from unstructured documents and data sources.
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Seamlessly integrate with Word, Excel, and legacy databases for complete data portability and workflow continuity.
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Deploy in the cloud for scalability or on-premises air-gapped for maximum security and data sovereignty.
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Five products across six lifecycle phases, reading the same reference data and sharing one sign-in. WeProject carries the baseline through every one.
The flagship
AI-native MBSE & programme management.
Graph-native specification & requirements, traceability, cost estimation, risk, and compliance.
app.weproject.ailifecycle phases it takes part in — from first requirement to as-operated record
Each phase has a lead product and the others that support it. The same six phases the in-product launcher and the guided tour narrate.
Supremacy — See the gap first.
WeProject.ai — Owns the requirement baseline.
SMAT-AI — Proves the mission, browser-native.
WeProject.ai — Runs acquisition end-to-end.
SMAT-AI — Verify by model, not luck.
SMAT-AI — Rehearse the mission you designed.
Cross-cutting · trains every phase
Workforce readiness — trains the people who run every phase, in every domain. 94 simulators · 500+ assessments.
The spine · under every phase
329 KPIs · 1,300+ platforms · 90+ reference APIs — the A&D data spine that seeds every product, with offline reference bundles in WeProject, Supremacy, SMAT and Academy.
The rail carries the products you own, and follows you between them.
Every product licensed — the rail carries all five.
AI-native MBSE & programme management.
Graph-native specification & requirements, traceability, cost estimation, risk, and compliance.
It is the same component in every product, so a preference set once holds everywhere — and an operator moving from mission design to the requirement baseline keeps their context instead of rebuilding it.
Light, dark, or follow the operating system.
A high-contrast mode for daylight and control-room screens.
Type and target sizes adapt to the display it is opened on.
The same page, filtered to what one role needs to see.
Carries the selected mission across every product you open.
A mission objective, a thermal constraint, a test report and an approval record answer different questions. ISBEGO names the six, so "what have we not covered" becomes a query instead of a debate.
The purpose and direction — WHY the system or organization exists and what it is trying to achieve.
The make-up and composition — WHAT the system and organization are built from.
The limits and rules that constrain the system — what it must and must not do.
The artefacts and proof that things are true or done.
Decisions, authority and oversight — how the work is steered and controlled.
The activities and execution — how the work actually gets done over time.
122 ontology classes are graded against these six, each recording where the grading came from and how sure it is — part of 382 entity types across 7 applications. How the classification works · What re-derives every number here
Real workflows from the shipped corpus — some finish inside one product, some cross three. Each one says how much of it a machine can redo and how much still needs a person.
Five worked examples from the workflow corpus.
Mission Definition
Say what the mission actually needs, then plan the workflow that delivers it — two decisions a person takes inside WeProject.
Mission Definition
Trace who authorised what — from the directive an organisation issues down to the measure it is judged by. Every step is a person's call.
Analysis & Decision
Add up what a capability can really field, from its children upward. Fully computable — no decisions in it.
Analysis & Decision
Prove the capability fabric really does counter the threat, then rank what survives. Nobody has to decide anything — it recomputes end to end.
Analysis & Decision
Show a capability is enough for the mission and actually counters the threat, before the memo is signed.
These are five of the eight workflows seeded in the shared corpus. The other three — SCP strategy decomposition, SCP bottom-up synthesis, SCP policy governance completeness — are each a single human step inside WeProject, so they would repeat an example already above rather than add one.
Eighteen segments across defence, space, industry and education. Each has a brief covering the challenge, what the platform does about it, and the modules involved — no sign-in needed to read one.
Sovereign multi-domain training from tactical operator to theatre strategist.
Air combat, EW, ISR, and joint air operations from fighter pit to AOC.
Maritime warfare, ASW, naval EW, and coalition fleet operations.
Combined arms, fires, manoeuvre, and ground force command.
Space domain awareness, counterspace, and orbital warfare.
A single environment for wargaming, TTP validation, and operator qualification across every warfighting domain.
Build deep technical fluency across the full space mission lifecycle.
Train operators on real spacecraft scenarios, not slideware.
Train your GEO control room today. Build the bench for LEO and MEO tomorrow.
Run hundreds of passes a day without running your operators into the ground.
Fly a 6U demonstrator like it matters — because it does.
Spectrum, orbital coordination, debris mitigation, and dual-use oversight.
Curriculum integration, lab augmentation, and research workbench.
Train the technicians who keep the satellites flying and the hangars running.
Turn curiosity into a first real step toward an aerospace or defence career.
Hands-on entry into the aerospace and defence career landscape.
How the estate actually fits together — one sign-in, one authoritative store for shared reference data, and a model provider you can host yourself
Proprietary relationship mapping technology for complex dependency tracking
Enterprise-grade modular design for high-performance and reliability
Instant synchronization and live updates across distributed teams
Scalable, managed cloud infrastructure with automatic updates and global availability
Secure on-premises installation for classified and sensitive environments
Every figure below is re-derived by a named check that runs on each build. If one stops being true, the build fails rather than the page quietly ageing.
KPIs in the shared reference registry
Checked by verify-launcher-claims.mjs counts the mission-contract catalogues the Data Domain seed loads — measured 359 at the last run.
platforms in the aerospace & defence data spine
Checked by verify-launcher-claims.mjs queries the live Data Domain database
interactive simulators in Academy
Checked by verify-launcher-claims.mjs counts the simulator files that ship — measured 104 at the last run.
reference data APIs
Checked by verify-launcher-claims.mjs counts the route modules Data Domain serves — measured 280 at the last run.
These are capability counts — what the platform contains. They are not customer outcomes, and we do not publish outcome percentages we have not measured. Ask us for a reference and we will put you in touch with someone who is using it.
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