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Products/Abraxas
Meta-Deterministic Evidentiary Engine

ABRAXAS
Cognitive Engine

Forensic data rendered as navigable space.

ABRAXAS turns forensic evidence into a place you can walk through. It renders complex evidentiary datasets as a navigable three-dimensional space where every element is a verifiable witness — cryptographically anchored, causally linked, and reproducible on demand. Investigators explore by spatial intuition instead of abstract notation, and every view they reach can be reconstructed exactly, so what an analyst saw is provable in front of a court months later.

System Manifest
DeploymentOn-prem / air-gapped
RenderingMetal GPU · SDF raymarching
Evidence UnitVerifiable voxel
IntegrityPoseidon + ZK proofs
ArchiveEvent-sourced replay
CausalityRoot-cause chain tracer
ScaleHolonic GPU swarm
IntegrationDAEDALUS bridge
HardwareApple M4 Max class
AdmissibilityFRE 901 exhibit-ready
Deterministic · exhibit-ready
Fig.01 · Forensic Environment
Abraxas Diagram
Core Capabilities

Six guarantees, one navigable record.

01

Spatial Evidence Rendering

Metal GPU · SDF raymarching · density/anomaly mapping
Complex evidentiary structures render as a navigable three-dimensional environment through Metal-GPU signed-distance-field raymarching. Density, clustering, and anomaly concentration read at a glance as shape and space — an investigator reads a dataset the way they read a room, not as a wall of tables and query output.
GPU-native
02

Every Voxel A Witness

voxel partition · per-cell commitment
The scene is partitioned into voxels, and each voxel is an independently verifiable witness to the evidence it holds. Nothing on screen is decorative — every rendered element carries its own cryptographic proof of what it represents, so a view is not merely a picture but a claim that can be checked.
per-voxel proof
03

Poseidon Anchoring

Poseidon hash · ZK-ready commitments
Every state and transition is committed to a Poseidon hash anchor, compatible with zero-knowledge verification. Integrity can be proven to a third party — that this is the data, unaltered, as of this moment — without ever exposing the underlying material.
ZK-provable
04

Deterministic Replay

event-sourced log · genesis replay
Every interaction, import, and state change is recorded as an immutable, hash-committed event. The whole investigation replays from genesis to any point, pixel for pixel, so a finding reached today is reproduced identically by anyone, later, on other hardware — the foundation of an exhibit that survives challenge.
pixel-exact
05

Causal-Chain Telemetry

root-cause tracer · verified causal chains
Root-cause telemetry traces any anomaly back through its causal chain to origin. For any two events the system either produces a verified chain connecting them or proves that none exists — complete coverage, with no silent gaps for an opposing expert to exploit.
no silent gaps
06

Holonic Swarm Orchestration

GPU holons · Merkle reconciliation
Computation distributes across GPU-backed holons, each owning a spatial partition and reconciling with the others through Merkle proofs. Datasets scale without losing interactivity or verifiability — the same guarantees hold whether you examine a single wallet or an entire treasury.
scale-safe
Architecture

A reproducible record of the evidence —
and of the investigation itself.

ABRAXAS is not a general-purpose 3D engine, and it is not a dashboard. It is a forensic instrument built for one job — making complex evidence navigable to a human being while keeping every element cryptographically verifiable and every step reproducible. The same inputs and parameters produce pixel-identical output on any machine, so a conclusion never rests on trusting one analyst’s screen.

Voxel spatial partitions — the evidence set is decomposed into independently verifiable cells, so any region can be proven in isolation without rendering the whole.

Poseidon hash anchors — every element and transition carries an algebraic commitment, zero-knowledge-ready for third-party verification with no data disclosure.

Event-sourced archive — the full history of the investigation is retained as immutable events, replayable from genesis to reconstruct any prior state exactly.

Root-cause causal tracer — anomalies are followed to origin through verified causal chains, with proven absence of a link where none exists.

Holonic GPU swarm — holons reconcile through Merkle proofs, scaling to large evidentiary graphs while preserving interactive framerates and full determinism.

Applications

What it does, in the field.

01

Forensic Reconstruction

An incident’s data — transactions, logs, communications, artifacts — is assembled into one navigable scene that reconstructs what happened and in what order. Investigators move through the sequence spatially, following causation rather than scrolling timelines, and every step is anchored and reproducible.

incident data → navigable scene → anchored, ordered sequence
Outcome
Reproducible incident reconstruction
02

Evidence Visualization

Dense evidentiary datasets that resist tabular review — sprawling transaction graphs, multi-party relationships, layered artifacts — become an environment an analyst reads at a glance. Structure, clustering, and outliers surface as shape and space instead of hiding in rows.

dense dataset → spatial render → legible structure
Outcome
Complexity made legible
03

Spatial Anomaly Detection

Anomalies announce themselves as breaks in the spatial pattern — density spikes, orphaned clusters, impossible adjacencies — that the human eye catches faster than any query. Each flagged region is a verifiable voxel that can be isolated and proven on its own.

pattern → spatial break → verifiable voxel
Outcome
Outliers found by eye, proven by hash
04

Provenance Navigation

Follow any asset, document, or event back through its full chain of custody by moving through the graph rather than reassembling it from records. Provenance is traversed as connected space, and each hop carries its own cryptographic commitment.

asset → traverse custody chain → per-hop commitment
Outcome
Chain of custody you can walk
05

Deterministic Investigation Replay

Because every interaction is event-sourced, an entire investigation replays from genesis to any moment, pixel for pixel. A finding reached weeks ago is reproduced identically on demand — the same evidence, the same view, the same conclusion, on any machine.

event log → replay from genesis → identical view
Outcome
Findings reproduced on demand
06

Expert-Witness Exhibits

A rendered view, together with its underlying anchors and replay record, becomes an exhibit that withstands adversarial scrutiny. An opposing expert can reconstruct exactly what was shown and confirm it independently — visualization that is evidence, not illustration.

view + anchors + replay → independent reconstruction
Outcome
FRE 901 admissible exhibits
API Library

Technical Interfaces

POST/api/v1/swarm/synchronize

Coordinates holonic agent swarms across the matrix, applying zero-separation logic to maintain spatial integrity within the graph visualization.

{
  "matrix_id": "mtx-alpha-9",
  "agents": ["agn-01", "agn-02", "agn-03"],
  "coherence_threshold": 0.98,
  "temporal_sync": true
}
GET/api/v1/matrix/inference/{id}

Fetches the deterministic inference results for a specific evidentiary voxel, returning both the semantic content and the Poseidon cryptographic anchor.

// GET /api/v1/matrix/inference/vxl-8821
{
  "voxel_id": "vxl-8821",
  "semantic_state": "QUARANTINED",
  "anchor": "0x110ded401c1fc..."
}
Institutional Access

Render an investigation that holds up.

ABRAXAS makes forensic complexity navigable to a human being while keeping every element verifiable and every investigation reproducible — evidence you can explore, and a record you can defend.