AION
In Developmentv0.3α "Genesis" — A 21-module, 6-layer cognitive substrate delivering deterministic autonomy and hardware-sovereign intelligence.
AANOX is building the structural backbone of the next industrial era.
Verifiable, non-probabilistic, and exascale-ready.
Internal stress tests on AANOX isolated hardware. We prioritize verifiable correctness over marketing throughput—benchmarking the technical ceiling of non-probabilistic reasoning.
A 21-module, 6-layer cognitive substrate. Zero pre-encoded knowledge. Verifiable reasoning discovered through formal grounding (AXD/EPE). Runs below the OS via the Direct Hardware Layer (DHL).
# Initialize AION verification stream
$ aanox cloud --substrate=aion-v1
Connecting to [US-EAST-1]...
VERIFIED_HANDSHAKE_COMPLETE
# Running formal proof cluster...
$ aion-verify --epochs=1024 --v=high
01: PROVING_SST_IMMUTABILITY... [OK]
02: TRACING_CAUSAL_BRANCHES... [OK]
SYSTEM_STATUS: NOMINALGeomDB now utilizes amortized write-locks and vectorized batching for manifold ingestion. This eliminates the Raft commit bottleneck, allowing for sustained 1M+ node/sec throughput on enterprise hardware.
Currently managing Sovereign Consensus through formal verification manifolds. Analyzing 1.2B conceptual transitions per epoch.
We're in active development. Real customer case studies will be shared after we launch products and build initial partnerships.
AANOX operates on irreducible principles. We replace probabilistic guessing with deterministic infrastructure where correctness is a provable property.
Provide an absolute verification API for LLMs. Prevent hallucinations by validating every output against our 5M+ verified knowledge triples.
[ AUDIT_STATUS ] : 100% traceabilty of reasoning paths to source claims
Go beyond "what happened" to "why it happened." Traverse the causal manifold to correlate internal operational risks with global economic factors.
[ AUDIT_STATUS ] : Identify systemic risks <500ms before they cascade
Automate the Design-Simulate-Verify loop. We generate designs from the causal graph and simulate them in our physics engine before presenting them.
[ AUDIT_STATUS ] : Verified structural integrity for mission-critical engineering
Compute massive intelligence directly on edge devices. Encode knowledge using hyperdimensional tensor arrays instead of giant GPU clusters.
[ AUDIT_STATUS ] : 400x compression of sparse causal datasets
v0.3α "Genesis" — A 21-module, 6-layer cognitive substrate delivering deterministic autonomy and hardware-sovereign intelligence.
[High-Fidelity Research] Predictive Residual Incremental Subspace Memory (PRISM) engine. Achieves 11x-15x KV cache compression with zero signal loss (ΔPPL=0.00%) at 128K context.
Proprietary data substrate achieving constant-time queries and geometric reasoning at planetary scale. Currently under intensive internal testing.
v0.3α "Genesis" specification fully scaffolded and verified.
Relational data substrate validated at 1M row scale.
Sub-millisecond KNN query floor achieved on 1.2B manifolds.
Preparing groundwork for future research collaborations
Zero-Bloat KV cache substrate validated for 1M+ token contexts.
Projected beta program launch
Research docs and technical specs published
Roadmap established and being executed
Core systems undergoing intensive testing and validation
Limited access for research partners and early adopters
Broader beta program with institutional partners
Full product launch with enterprise support options
Open to partnerships with universities and institutes
Publishing research and accepting feedback
Currently in private discovery. Inquire to review internal benchmarks or collaborate on foundational research.