ECHONETv1.0
>Initializing distributed sensor array.....
>Establishing network coordination layer...
>Loading C2 interface protocol.............
>Verifying node synchronization............
>System ready..............................
DISTRIBUTED SENSING NETWORK0%
ECHOCORE AI · FUSION COMPLIANCE ENGINE

Weak evidence never becomes a confident track.

A trust- and compliance-bounded fusion engine for counter-UAS. Spoofed, stale, or synthetic inputs cannot become high-confidence output. The gate is in the architecture, not in a disclaimer.

Trust-gatedCompliance-gatedDeterministicAuditable
Concept schematic. The gates and the lattice are the architecture, not a fielded measurement.
What it is
A trust- and compliance-bounded sensor-fusion engine for counter-UAS. Weak or spoofed evidence cannot become a confident track.
What is demonstrated
172 tests passing. Deterministic, byte-identical evidence bundles, graded in a golden loop against simulation ground truth.
What is not claimed
Laboratory evidence only. Field validation is limited at this stage. No calibrated detector performance, target geolocation, or accreditation.

Detectors emit. The pipeline decides.

EchoCore AI is not one large multimodal model. Modality-local detectors emit typed observations. A deterministic association step builds candidates you can audit. Two gates then decide what is allowed to leave the pipeline.

Two gates, neither bypassable

Two independent checks sit in the path of every candidate. One bounds confidence to the provenance of the evidence; the other enforces policy at the edges of the pipeline.

GATE 01 · PROVENANCE

Provenance trust gate

Confidence is capped by the assurance of the evidence behind it. A $30 spoofer's broadcast, a stale detection, or a synthetic stream cannot be promoted into a high-confidence track, whatever the fusion score says.
GATE 02 · POLICY

Compliance engine

Machine-readable policy runs at ingress and egress: permit, restrict, downgrade, segregate, block. It fails closed on missing labels, and seals every decision into a hash-chained evidence bundle.

Weak evidence makes a weaker claim

Weak evidence caps the kind of claim a candidate can make, not just its confidence number. Claims are ordered presence < bearing < position < track < identity, and each evidence combination is capped to a maximum claim type and a ceiling.

Concept schematic. The lattice and the ceiling are the architecture, not a fielded measurement.

Graded in a closed loopSynthetic

A scorer that fails the build

EchoCore AI is exercised by Valhalla, a deterministic synthetic testbed, in a golden loop. Valhalla datasets run through the engine unmodified, and a scorer grades the output against simulation ground truth. The scorer surfaced real fusion defects in stream handling, multi-target separation, and spoofer-dominated tracks, and now runs as a CI regression gate on every engine change.

echocore · closed loop
SyntheticEchoCore AI interface: the scorer grading fusion output against simulation ground truth, beside the sealed verdict card with provenance, confidence ceiling, and the hash-chained audit trail (synthetic).
Real-world-grade simulation data. Pipeline behaviour, not detector performance. Every field is sealed into the evidence bundle.
102 → 0
RID-spoof-dominated tracks, eliminated
Fused tracks dominated by spoofed Remote-ID. Baseline engine, then trust-gated.
0.42 → 0.96
track purity
Track purity: share of a track's observations from its true target. Baseline, then fusion-fixed.

SYNTHETIC. Pipeline behaviour over synthetic data, graded against simulation ground truth across an 8-seed sweep (40,000 synthetic trajectories per threat). Not detector performance. Not field validation.

Evidence sample · raid_demo · 8-seed sweepechocore.fusion_score_sweep.v1
0.42→0.96
mean track purity
0.94→0.11
cross-target contamination
102→0
spoof-dominated tracks
11
clutter-dominated tracks
0.69
tracked-epoch rate
per-target tracked-epoch: dji 0.45 · fiber 0.26 · shahed 0.24 · birds 0.006-0.06 · 8-seed sweep
Synthetic
Real values from a Valhalla 8-seed synthetic sweep. Pipeline behaviour over simulated detector outputs and simulation ground truth, not detector performance, not field validation.
Where it stands

What runs today, and what it sets up

EchoCore AI is early, and we would rather show the real floor than a painted ceiling. What follows is what actually runs now, and the capability it puts within reach.

172 tests pass across the engine today. Every run is deterministic: the same seed produces byte-identical, hash-chained evidence bundles you can re-run and check yourself.

Two non-bypassable gates, the claim lattice, RID-spoof and GNSS handling: the discipline that keeps weak evidence from becoming a confident track is built and running, not promised.

The architecture is auditable, fail-closed, and fully offline by design, built toward a Protected B accreditation path we intend to earn, not one we hold today.

EchoCore AI Inc., Calgary.
Request technical brief