fewer model calls
1,344 gated versus 2,000 always-on
Deterministic evidence for physical AI
GnoSys
Make every inference earn its compute.
GnoSys evaluates heterogeneous sensor evidence locally, decides which downstream model paths are eligible, and preserves a replayable record of every decision before heavier GPU, cloud, or human attention is invoked.
No model retraining. Operator authority remains with the integrating system.
Physical execution>Arduino UNO R4>GnoSys gate>Holoscan 4.5.0>Tesla T4
Frozen physical evaluation
Fewer downstream calls. Lower false-positive burden.
A physical UNO R4 gated a frozen 2,000-window UNSW-NB15 holdout through NVIDIA Holoscan 4.5.0 on one Tesla T4. The decision threshold was selected outside the holdout.
gated-path F1
0.9074 on the always-on arm
false-positive rate
0.2601 on the always-on arm
signatures verified
2,007 receipts plus 3 operating records
Tradeoff retained
Recall moved from 98.62% always-on to 94.32% gated, and 50 always-on true-positive windows were suppressed. Avoided calls are measured; direct energy, cost, GPU-time, and customer ROI savings are not claimed by this run.
A small layer before heavy inference
Evidence becomes a bounded routing decision.
GnoSys does not replace partner models or orchestrators. It adds a deterministic eligibility decision at the point where raw activity becomes an inference task, event, or operational review.
Normalized window
A local adapter maps sensor, network, time-series, vision, latent, or token-stream state into a bounded input.
Eligibility kernel
The portable C core evaluates evidence and selects a route under frozen policy.
64-byte evidence
A fixed-format packet records what the system observed, decided, and authorized.
Invoke or stay local
The integrating system can bypass, invoke one model, activate fusion, escalate, or fail safe.
Where it fits
One decision contract across heterogeneous streams.
The initial commercial focus is selective physical-AI inference, where multiple sensor and model paths compete for constrained compute, bandwidth, power, or operator attention.
Physical AI pipelines
Screen windows before vision, fusion, remote inference, or human review is activated.
Cyber and operational evidence
Turn normalized structural events into replayable eligibility and escalation decisions.
Industrial monitoring
Keep routine equipment state local while escalating material departures to heavier analysis.
Model-runtime control
Evaluate bounded model state before additional experts, agents, or remote compute are called.
Sensor to accelerated stack
Place intelligence where the evidence begins.
The product is the evidence and eligibility contract. MCU, Linux edge, Holoscan, GPU, and future silicon targets are deployment surfaces for that same contract.
Constrained witness
Bounded scoring and evidence encoding on a supported low-resource target after upstream normalization.
Edge runtime
A portable, deterministic kernel beside existing sensor gateways and local inference stacks.
Holoscan route
GnoSys determines eligibility before selected downstream CUDA model paths execute.
NVIDIA ECOSYSTEM
Astrognosy is a member of NVIDIA Inception. GnoSys is independently developed and is not presented as an NVIDIA-endorsed product.
Commercial path
Measure the routing value on your workload.
Start with one bounded inference workflow and a frozen always-on comparison. Keep partner models, data, and production authority unchanged while the evaluation records every invoke and suppression decision.
Partner evaluation
A controlled shadow evaluation on one real workload.
- Adapter and workload mapping
- Always-on versus gated comparison
- Suppressed-event audit
- Replayable evaluation record
Runtime license
Deploy the eligibility kernel and evidence contract after workload validation.
- Portable C runtime
- Versioned evidence ABI
- Policy configuration
- Commissioning and support
Embedded IP
Integrate the decision substrate into sensor, gateway, firmware, FPGA, or chip-adjacent systems.
- Bounded kernel interface
- Target-specific validation
- Evidence adapters
- Commercial licensing path
Founding partner evaluations