A brain on your sensor.
An Arduino UNO R4 decides which windows deserve a GPU, and the pair beats the GPU running alone. GnoSys Field Intelligence makes every inference earn its compute.
The full result
Better than the GPU alone, with 35% fewer calls.
A physical UNO R4 board gated all 82,332 windows of the UNSW-NB15 test set, a public network-intrusion dataset, in front of an NVIDIA Tesla T4.
A small layer before heavy inference
Evidence becomes a bounded routing decision.
GnoSys works alongside your models and orchestrators. It adds one decision at the moment raw activity becomes an inference task.
01 / Input
Normalized window
A local adapter turns sensor, network, time-series, vision or token-stream activity into a bounded input.
02 / Decide
Eligibility on the board
A portable C core on the microcontroller decides whether this window deserves heavier compute.
03 / Record
64-byte evidence
A fixed 64-byte record notes what the board saw, what it decided, and what it allowed.
04 / Route
Invoke or stay local
The system calls the model, keeps the window local, escalates, or fails safe.
Where it fits
One decision contract across every stream.
Vision and sensors
Physical AI pipelines
Screen windows before vision, fusion, remote inference or human review switches on.
Network and telemetry
Cyber and operations
Turn structured events into replayable decisions about what to escalate.
Vibration and time series
Industrial monitoring
Keep routine equipment state local and send real departures for deeper analysis.
Model streams
Model runtime control
Check a model's state before more experts, agents or remote compute are called.
Sensor to accelerated stack
Place intelligence where the evidence begins.
Microcontroller
On the sensor
Scoring and evidence on a small, low-power board, after the signal is normalized.
C99
Edge runtime
A portable kernel that runs beside existing sensor gateways and local inference stacks.
GPU
Accelerated route
The board decides eligibility before the GPU model runs.
Astrognosy is a member of NVIDIA Inception.
Commercial path
Measure the value on your workload.
Start here
Partner evaluation
A shadow evaluation on one real workload.
- ·Adapter and workload mapping
- ·Always-on versus gated comparison
- ·Review of every held-back event
- ·Replayable evaluation record
Deployment
Runtime license
Deploy the eligibility kernel and evidence record.
- ·Portable C runtime
- ·Versioned evidence format
- ·Policy configuration
- ·Commissioning and support
OEM and silicon
Embedded IP
Build the decision layer into sensors, gateways, firmware or chips.
- ·Bounded kernel interface
- ·Target-specific validation
- ·Evidence adapters
- ·Commercial licensing path
AI CowboysPut a brain on your sensor.
Start with a shadow evaluation on your own stream. Your models, data and authority stay exactly as they are.
jacob@astrognosy.com