Every AI system resets when the session ends. Every edge device discards its operational history. VAAS-X gives any system — from microcontrollers to enterprise clusters — persistent memory that survives across missions, shutdowns, and disconnections.
No cloud. No GPU. No per-query costs. Memory runs on the hardware you already own, at a fixed infrastructure cost that doesn't grow with usage.
Most AI systems are stateless — they process data and discard it. VAAS-X gives any system a permanent, searchable record of everything it has experienced, retrievable in milliseconds, on the hardware already in place.
Cloud AI memory charges per prompt, per query, per token. As your system scales, so does your bill. VAAS-X runs as infrastructure — a fixed deployment cost regardless of how many queries your systems make or how many episodes they accumulate. Your costs are predictable from day one.
Runs on the hardware you already own
VAAS-X retrieves the closest matching memory from over a million stored episodes in under 14ms — on a standard CPU server, with no GPU and no specialist hardware.
Not just what happened — what worked
Each memory episode records what the system observed, what action it took, and what the outcome was. When something similar happens again, VAAS-X surfaces what worked before — not just the nearest match.
Cognitive operation without data exposure
VAAS-X can search and retrieve from encrypted memory without ever decrypting the underlying data. The infrastructure operator cannot access what's stored — structurally, not by policy.
No integration project. No schema design.
Point any sensor array or data stream at Bootstrap and it begins building operational memory from the first datapoint — without knowing anything about the domain, the device, or the data format in advance.
Infrastructure pricing, not consumption pricing
Each new device or domain gets its own isolated memory store. Adding a hundred machines to your fleet doesn't multiply your AI costs — it extends the same substrate.
No cloud connection required — ever
VAAS-X runs entirely on-device. UAVs, robots, industrial controllers, and autonomous vehicles accumulate operational memory across their full lifetime — with no round-trip to the cloud and no dependency on connectivity.
Every capability above runs from the same infrastructure layer. Industrial sensors, autonomous platforms, AI agents, medical devices, and scientific instruments all use the same deployment — only the data differs. There is no domain-specific version of VAAS-X to integrate, maintain, or pay for separately.
No integration project. No specialist hardware. Memory starts from the first datapoint.
Point any data stream at VAAS-X. Sensors, machines, APIs, edge devices — if it emits structured data, Bootstrap handles the rest without schema design or configuration.
Every operational event is stored as a memory episode — what was observed, what happened, and what the outcome was. Memory builds continuously from the moment you connect.
When something happens, VAAS-X finds the closest matching episodes from history in milliseconds — on CPU, on-device, with no cloud call and no GPU required.
Because every episode records outcomes, the system surfaces what actually worked — not just what looked similar. Operational intelligence that compounds over time.
VAAS-X doesn't generate responses. It gives your systems the ability to learn from their own history — persistently, privately, and without ongoing AI compute costs.
Patient records, classified operational data, and financial transactions stay encrypted through every stage — including the search itself. The infrastructure provider structurally cannot access what's stored.
14ms on a standard CPU server across 1.18 million memory episodes. 1ms on desktop hardware. Memory retrieval that runs entirely on infrastructure you already own.
Bootstrap removes the integration project entirely. No schema design, no labelling, no domain expertise required. Validated on NASA's turbofan benchmark: 24 unlabelled sensor channels, 100% correct identification, zero configuration.
Standard search returns the nearest match. VAAS-X returns the nearest match with the best outcome — because every episode records what happened next. That distinction matters when the decision has consequences.
April 2026. AWS EC2 m7i-flex.large. CPU-only. ANN-Benchmarks GloVe-100-Angular. 1,183,514 vectors. No GPU. No AVX-512.
| Configuration | Mean | P95 | Recall@10 | vs Baseline |
|---|---|---|---|---|
| HCI speed mode | 3.65ms | 4.94ms | 76.45% | 19x |
| HCI balanced mode | 9.32ms | 11.15ms | 89.05% | 7.4x |
| HCI quality mode | 13.99ms | 16.14ms | 93.15% | 4.9x |
| Desktop (i5-10600KF) | 1.11ms | 1.45ms | 76.5% | 297x |
Desktop mean
EC2 quality mean
Desktop speedup
EC2 Recall@10
CMAPSS blind trial
Patent-pending innovations
All benchmarks April 2026. FAISS/HNSW comparative benchmarks in progress.
The same codebase runs in every environment below. There is no domain-specific version to buy, integrate, or maintain. You deploy VAAS-X once — it operates wherever you point it.
Most industrial monitoring tells you when something has already failed. VAAS-X gives your machines the ability to recall every operational state that preceded a fault — across the entire fleet, without a per-site integration project.
UAVs, ground robots, and autonomous vehicles generate valuable operational data on every mission — and discard it when they shut down. VAAS-X runs entirely on-device, accumulating persistent memory across the full platform lifetime with no cloud connection required.
Every AI agent framework has the same gap: memory ends when the session ends. VAAS-X fills this at the infrastructure level — agents recall what happened in previous sessions, what decisions were made, and what outcomes followed.
Healthcare, financial services, and defence need AI cognition over sensitive operational data — but cannot expose that data to an infrastructure provider. OKE makes the infrastructure provider structurally incapable of accessing what's stored, removing the data processor relationship that creates compliance exposure.
Some scientific domains are bottlenecked by the cost of repeated simulation — not by data. VAAS-X replaces expensive runtime computation with fast memory retrieval: if a similar state has been computed before, the outcome is recalled rather than recomputed.
The substrate doesn't know which domain it's operating in. It doesn't need to. You provide the data stream — VAAS-X handles the rest.
Vector databases find semantically similar content. VAAS-X stores operational experience, recalls what produced the best outcomes, runs encrypted end-to-end, and operates without cloud or GPU — at a fixed infrastructure cost that doesn't scale with query volume. These are not the same product.
Request a demo, discuss a pilot deployment, or ask a technical question. We can have memory running on your data stream faster than any integration project you've done before.
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