Evidence

Structural data representation applied to domains where approximate answers are unacceptable.

Domain Status

Honest status across five domains

Enterprise Data Infrastructure

Validated

Store data once in structural form. Serve caching, vector search, feature serving, and full-text search from a single GPU-native representation.

Proof
1B entries, 100% recall, 38.5ms p50, 24h soak test

Computational Physics

In Progress

QTT decomposition applied to CFD, plasma kinetics, and electromagnetic simulation on GPU.

Proof
Active research — Navier-2D, Vlasov-6D benchmarks on H100

Healthcare and Genomics

Planned

fp64 exact recall for clinical data, pharmaceutical research, and genomic analysis where approximate answers are unacceptable.

Proof
Exploratory — fp64 validation complete

Autonomous Systems

Planned

Structural data representation for high-fidelity simulation, sensor fusion, and real-time decision systems.

Proof
Planned

Scientific Computing at Scale

Planned

Large-scale scientific workloads where QTT decomposition enables previously intractable computations.

Proof
Planned

Execution Status

Platform validation status

Test & Gate Status

Tests Passing

655/657 passing

Gauntlet Passing

39/39 gauntlet passing

Regression Gates

5/5 regression gates passing

Security & Reliability

Hostile Audit

341/341 tests, 16 findings remediated

Soak Test (24h)

24h soak, 8.6M inserts, 2.9M queries, 9 errors

PQC Attestation

ML-DSA-65 (FIPS 204) on all benchmark artifacts

Tell us what you're working on.

We evaluate domain-specific applications where exact answers matter and approximate solutions are too costly.