Building Sovereign Risk Infrastructure.

Deterministic where deterministic publishes. Monte-Carlo-challenged where it must be.

The deterministic lane publishes a single bit-exact trajectory; the 10M-path Monte-Carlo lane anchors the 99.9 tail under common random numbers; the Governor class-routes between them — with no silent degradation.

CVaR 99.9 within 0.035% of a 10M MC reference · 8.8 B paths / backend · CRN 99.9 parity Δmax 0.000 bp on 100 worst-tail cases × 100M paths / backend (regression y = 1.0000·x, R² 1.0000) · Bit-identical determinism: 1 hash across 1,000 fresh-process repeats, 0.0% drift · Sampler stability: 5,040 surfaces, 0 failures across PRNG / Sobol / LHS · 0 execution failures.

Deterministic numerical analysis. AI as narrative layer only.

Every numerical output — fair value, scenarios, VaR, CVaR, ES, risk metrics, BUY / HOLD / SELL recommendations — is deterministically computed by the math kernel. Rule-based logic produces all decisions. The LLM is restricted to a narrative-prose layer: investment-thesis paragraphs, executive-summary language, and report wording. If NVIDIA NIM is unavailable, reports still render fully from deterministic templates with computed numbers.

This makes the platform defensible to Model Risk Management under SR 11-7, FRTB-IMA, and EU AI Act Article 12: every numerical claim is traceable to deterministic kernel output with a hash-pinned audit chain.

Math first. Agents second. Governor always. Audit forever.

Build the deterministic, auditable substrate that bridges real-world signals and institutional financial models in real time. Position: an independent challenger and governance layer that sits beside Aladdin, Bloomberg, Murex, MSCI, Calypso, AxiomSL, and internal bank Monte Carlo engines — not a replacement for any of them. The ARIN22 class-routed kernel, the KOKON control plane, and a 22-agent governance-and-audit council — NIM-powered, NeMo-guardrailed, Governor-arbitrated, not an autonomous decision-maker — form a single Fed SR 11-7 / OCC 2011-12-aligned decision layer with EU AI Act Article 12 audit alignment. Seven production modules deliver it across insurance, banking, infrastructure, sovereign, real-estate, and asset-management workflows — non-advisory, reproducible, governed.

Independent challenger and governance layer.

SAA Risk Analyzer is positioned as an independent deterministic challenger and governance layer that sits beside existing institutional risk systems — Aladdin, Bloomberg, Murex, MSCI, Calypso, AxiomSL, and internal bank Monte Carlo engines. It is not a replacement for any of them.

The customer connects existing risk outputs. SAA independently recomputes VaR / CVaR / ES / scenario risk on the ARIN22 deterministic kernel. Differences surface as PASS / WARN / FAIL / INCONCLUSIVE evidence. The customer receives an audit-grade challenger evidence pack: snapshot hash, model version, policy version, and cannot-claim boundary — committee-readable, regulator-ready.

Product category: sealed institutional risk-compute workstation, analog in delivery model to Bloomberg Terminal or Refinitiv Eikon. Not a data API, not developer middleware, not an exchange execution engine.

Two foundational tiers, seven production modules.

The KOKON control plane and the ARIN22 deterministic kernel power seven production modules, each on its own domain, producing a single explainable verdict per query with a full SR 11-7 / OCC 2011-12 model-risk audit trail and EU AI Act Article 12 audit alignment. Lane discipline: kernel correctness is CPU-bound (~99 µs single kernel call at D = 4 on commodity ARM — substrate-portable, no GPU lock-in); the 8×H100 lane is layered on top for batch throughput at scale. The two are never collapsed into one number.

The council is canonical at 22.

13 specialised risk-domain agents + 9 supporting nodes. Geopolitical, Cyber, Climate, Commodity, and Supply-Chain are sub-coverage of the named agents — not additional entries.

Two graphs, never collapsed.

The curated audit ontology grounds the council; the operational embedding serves runtime recall. The two are kept separate by design.

Three latency lanes, never collapsed.

Internal risk-service compute latency only — not STAC-T1, not wire-to-wire, not NIC-to-order-egress, not broker / order-routing latency. Additional precision and replay artifacts are released to bank model-risk under NDA.

Connect → Map → Math → Agents → Recommend → ActionPlan → Receipts → Audit

WORM-sealed receipt chain (PrevSHA → ChainSHA), webhook-isolated from product modules. KOKON details →

Pre-revenue. Transparent.

Every claim is verifiable on request; no undisclosed customer logos; the audit pack is available to qualified diligence teams; formal certifications are on the post-revenue roadmap.

Phase Map — Honest Roadmap.

The product is delivered in clearly defined phases. Each phase has a published state, and binding production promotion is not allowed until the corresponding phase clears its closure contract.

Full security & compliance posture →

Tiered access for pilots, regulated enterprises, and sovereign deployments.

Pricing is disclosed under signed engagement. Each model includes an explicit scope boundary, evidence pack, and claim matrix.

DRCET-1 — Open Equivalence-Testing Protocol.

DRCET-1 (Deterministic Risk-Compute Equivalence Test) is an open protocol specification submitted to SSRN on June 7, 2026 as Abstract ID 6893318, preliminary upload status. The protocol proposes a sampling-resolution-bounded equivalence benchmark for institutional risk-compute kernels: Berger-Hsu interval-inclusion equivalence against Monte Carlo reference bootstrap confidence intervals at the Bonferroni-corrected 99.75% level (k = 20 metric panel), with mandatory honest WATCH disclosure rather than vendor overclaim.

First-author claim on the sampling-resolution-bounded equivalence axis for institutional risk-compute reference architecture qualification. Stable SSRN URL will be added when indexing completes.