Your edge devices generate data on every mission.
Most of it disappears when they shut down.

Infrastructure Pricing — Not Consumption Pricing

Your costs don't grow with your query volume

Cloud AI memory bills per prompt, per query, per token. As your fleet scales, so does the cost. VAAS-X runs as infrastructure — one deployment cost, regardless of how many devices connect or how many memory retrievals they make per day.

• No per-query billing on core memory operations
• Predictable monthly operating cost from day one
• On-premise or air-gapped deployment eliminates cloud fees entirely

Artificial Cognition

Multimodal memory that runs on the hardware you have

AC encodes mixed sensor data — vision, audio, motion, thermal, depth — into a single persistent memory store on the device itself. No cloud round-trip. No retraining cycle. Memory that accumulates across every mission.

• Supports vision, audio, IMU, depth, thermal, and numeric channels
• Cross-modal recall — find similar situations across any combination of sensors
• No labelled training data required to start
• Validated live on ESP32-class hardware — the £30 microcontroller tier

IMU / Motion

Accelerometer, gyroscope, and motion state — for platforms where orientation and dynamics matter.

Numeric Sensor Arrays

Industrial and machine channels ingested via Bootstrap — temperature, pressure, vibration, flow, current, and more.

Vision

Camera-derived scene state encoded as episodic context alongside other sensor channels.

Audio

Acoustic signatures for machine fault detection and environment state monitoring.

Depth / Spatial

Depth and point-cloud data integrated into operational memory for spatial awareness across missions.

Thermal

Thermal state ingested alongside other channels — particularly relevant for industrial and defence deployments.

Machines That Remember Every Fault They've Ever Seen

A 200-machine production line traditionally means 200 integration projects. Bootstrap eliminates the per-site configuration entirely — connect any sensor output and it profiles each channel from live data, fleet-wide, from the first datapoint.

• PLC, SCADA, MQTT gateway, OPC-UA — any JSON-emitting source
• Validated on NASA CMAPSS FD001 — the global predictive maintenance benchmark
• Fleet-scale memory from a single deployment, no per-machine setup

Platforms That Carry Their Operational History With Them

UAVs, ground robots, and autonomous vehicles discard everything when they shut down. Bootstrap connects to any sensor configuration on the platform and begins accumulating persistent mission memory — entirely on-device, no cloud required.

• Any sensor mix — Bootstrap adapts, not the platform
• Validated on £30 ESP32 hardware in live deployment
• Memory persists across power cycles, disconnections, and resets

Clinical Intelligence Without Data Processor Liability

Medical devices and patient monitoring systems emit continuous structured data. Bootstrap connects without needing to understand the clinical semantics. OKE encrypted retrieval means the infrastructure provider structurally cannot access what's stored — removing the compliance relationship before it forms.

• Zero-config connection — no schema design, no clinical domain knowledge needed
• Full cognitive operation over encrypted data at every stage
• GDPR, HIPAA, and sovereign deployment pathways established

Memory That Never Leaves the Control Boundary

Denied and contested environments can't use cloud-connected AI. Bootstrap accumulates operational memory entirely on-device from live data — no pre-training, no connectivity, no data leaving the platform. OKE means retrieval operates over encrypted vectors even on-device.

• Fully air-gapped — no network dependency at any stage
• Adapts to novel operational conditions without retraining
• Validated edge range: £30 ESP32 to enterprise cluster — same codebase

Agent Memory That Persists — Without Token Cost Growth

AI agents reset between sessions. Bootstrap gives any agent framework a persistent episodic memory layer — what was observed, what action was taken, what outcome followed — retrievable in milliseconds, at infrastructure cost rather than per-query cost.

• Cross-session episodic memory — agents build on experience, not just context windows
• Outcome-weighted recall: surfaces what worked, not just what matched
• Live deployment: 35,000+ episodes in autonomous cognitive loop

Recall Instead of Recompute

Simulation-heavy research domains are bottlenecked by the cost of rerunning computation for similar parameter states. Bootstrap ingests simulation outputs as operational episodes — when an analogous state has been computed before, VAAS-X retrieves the outcome rather than rerunning the simulation.

• Applicable to chaotic systems, materials discovery, quantum phase prediction
• Same substrate, same API — no domain-specific build
• Technical detail available under NDA

Market Memory at Retrieval Speed

Markets are episodic by nature — state, action, outcome. Bootstrap ingests any structured market data stream and builds a persistent episodic memory of what conditions preceded which outcomes. HCI retrieval speed makes real-time analogical recall operationally viable for the first time.

• Regime detection — classify current market state against historical episodes
• Pattern recall across trading sessions without cloud dependency
• Infrastructure cost model — not per-query consumption pricing

If It Produces Structured Data, Bootstrap Connects to It

E-commerce session behaviour. Clinical trial telemetry. Power grid sensor arrays. Satellite telemetry. Network traffic anomaly detection. RL training replay buffers. Logistics fleet state. Energy infrastructure monitoring. These are not edge cases — they are all the same problem. Structured operational data that needs persistent memory.

Bootstrap doesn't need to be configured for any of them. It needs a data stream.