How it works

From sensor nodes to a single audited verdict.

A decentralised, event-driven pipeline with a 22-agent orchestration layer. Heterogeneous signals enter through Sensor Nodes, cross a high-throughput event bus, and arrive at the ARIN Council, where calibration-aware confidence-and-reliability weighting produces one fully audited verdict. Seven production modules — each on its own domain, independently deployable. The ARIN22 deterministic kernel is positioned as an independent challenger and governance layer — embeddable beside Aladdin, Bloomberg, Murex, MSCI, Calypso, AxiomSL, and internal bank Monte Carlo engines, not a replacement for any of them.

Pre-client institutional diligence-ready — H100 validation pack closed end-to-end (58/58 data-room + 53/53 closure artifacts, 0 missing); external pilot and regulatory sign-off pending; not enterprise production-approved.

Commercial positioning

Independent challenger and governance layer.

SAA Risk Analyzer sits beside existing institutional risk systems — Aladdin, Bloomberg, Murex, MSCI, Calypso, AxiomSL, and internal bank Monte Carlo engines. 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.

AI architecture

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 narrative prose with deterministic template fallback. If NVIDIA NIM is unavailable, the report still renders fully from templates with computed numbers.

Numerical outputs0% AI. No AI-generated fair values, VaR, CVaR, ES, scenario outputs, or risk calculations.

Recommendations0% AI. BUY / HOLD / SELL and PASS / WARN / FAIL / INCONCLUSIVE are rule-based.

Graphs0% AI. Charts are rendered from computed series.

Narrative prose~10–15% AI. AI is prose polish only; the LLM layer can be disabled without losing core product functionality.

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

The pipeline · six stages

01Discover & Route

The operator selects an analytical domain across the seven production modules; the request is routed over typed contracts to the module that owns it. Each module runs on its own domain with isolated infrastructure — no shared single point of failure. Domain-bounded routing prunes the agent graph to only the agents relevant to the query.

02Ingest & Normalize

Heterogeneous signals — market, geopolitical, on-chain, narrative — enter through Sensor Nodes and are normalised onto typed contracts, then published to a high-throughput event bus (HMAC-signed delivery, idempotent, dead-letter-protected). Every input is hashed and timestamped on arrival.

03Compute

Reproducible risk math — VaR / CVaR, stress, cascade — is computed by the ARIN22 deterministic kernel, never by an LLM. Kernel correctness is CPU-bound: ~99 µs single kernel call at D=4 on commodity ARM CPU, substrate-portable with no GPU lock-in. Scaling is validated on the D=200 high-dimensional lane: 200 portfolios × 28 scenarios × 4 horizons × 10M paths per case, 1.344 trillion total GPU+CPU paths, median GPU wall 30.014s vs CPU 430.596s (14.35× speedup). The 8×H100 lane is layered on top for batch throughput at scale; the two lanes are never collapsed into one number. Operator Contract v1 defines class-routed operators across diffusion, drift, jump, regime, and tail dimensions; public surface is input → output → hash → lineage, with implementation details released only under signed NDA to bank model-risk reviewers.

04Orchestrate · ARIN Council

The 22-agent council deliberates on the deterministic surface under NeMo Guardrails; calibration-aware confidence-and-reliability weighting resolves consensus, and diverging agents lose voting weight automatically. Before anything publishes, the Governor stack runs 14 named constitutional refusal gates, including SYS.GOV.01.SUBSTRATE.NO_RELEASE, SYS.GOV.01.MODEL_AGREEMENT.NO_RELEASE, SYS.GOV.01.MATH_RECONCILIATION.NO_RELEASE, and SYS.GOV.01.BAYESIAN_EVIDENCE_FUSION.NO_RELEASE. Each gate blocks the verdict until cleared; the system refuses to publish rather than degrade silently.

05Stitch & Deliver

A single explainable verdict is stitched with its full lineage and dual-published — synchronous API response plus a WebSocket push — each carrying the cryptographic decision spine. A Zero-Outcome Freeze holds any verdict that cannot resolve its evidence; nothing degrades silently.

06Resilience

Graceful degradation across the substrate: if a data source, agent, or compute lane fails, the pipeline holds correctness over availability and records the degradation in the audit trail. Webhook-isolated topology; multi-domain isolation; deterministic replay lets any historical verdict be re-executed bit-for-bit.

Live access

Public access is limited to verification and marketing surfaces. Full module access, replay artifacts, and bank model-risk packets are private and released under NDA. Audit-grade lineage is published in parallel at /arin22-demo.

Verification surface/arin22-demo — audit-grade lineage, determinism proof, evidence matrix.

Platform overview/platform — the seven modules & architecture.

Team & method/team · /methodology — founder profile and published method.

EngineeringGitHub org · ARIN architecture (PDF).

Nasdaq-direction phase mapPhase 0 GUARDED_INTERNAL · Phase 1 DESIGN-PARTNER READY · Phase 2 REVIEW ONLY · Phase 3 REVALIDATION REQUIRED · Phase 4 DEFERRED.

Validation evidence matrix

Observed, not asserted.

Enterprise Wave v2 — canonical · 2026-05

8.8 B

paths / backend (GPU grid + CPU mirror)

8,800

Enterprise Wave cases, 0 execution failures

0.035%

CVaR 99.9 vs a 10M-path MC reference

0.000 bp

CRN 99.9 parity Δmax on 100 worst-tail cases × 100M paths / backend

1.344 T

D=200 high-dimensional GPU+CPU paths

14.35×

D=200 GPU wall 30.014s vs CPU 430.596s

1 / 1,000

one hash across 1,000 fresh-process repeats

58 / 58

data-room artifacts (+ 53/53 closure)

Every figure is ladder-able to evidence at /arin22-demo.

Substrate breadth · context (not the headline)

V1 substrate lineage1.06 T path-equivalents · 1,043,030 cases — 8-Wave → Phase-5 lineage; substrate breadth, superseded as the headline by Enterprise Wave v2.

Unified Public H100 Run · 2026-Q2705.096 B paths · 705,096 cases — public-portfolio breadth run; context, not the canonical accuracy anchor.

D=200 high-dimensional lane · 2026-05-31200 portfolios × 28 scenarios × 30/90/180/360D × 10M paths per case. N=3 GPU + N=3 CPU mirror repeats · CVaR99.9 p95 max-across repeats 0.281% · CVaR99.9 max 0.900% · EVT-CVaR99.9 max 0.671% · status: internal high-dimensional proof; client full-holdings D=200 production validation remains external-data-gated.

Stress Propagation Engine62,500 historical cascade cases across seven domain profiles · F1 = 0.889 cross-domain average · F1 = 0.914 climate / physical / utility / production · zero negative-control false positives · sealed verdict bundles under arin.report_audit_trace.v1.

Governance controls · Governor refusal stack

Every council pass is gated before publication.

Surface 01 · 5 Decision-Integrity InvariantsI-01 calibration sanity · I-02 reliability stationarity · I-03 consensus coherence · I-04 dissent representation · I-05 evidence-source completeness. A verdict must pass all five.

Surface 02 · 7-Rule Math-to-Narrative AuditR-01…R-07 bind the explanation to the numerical surface; any drift between narrative and the deterministic state fails the audit and the verdict is held.

Surface 03 · Meta-Decision GovernorFour terminal states — APPROVED / WATCH / REVISION / BLOCKED (e.g. WATCH_SUPPRESSED on EVT 5Y/10Y). Curvature-heavy cases — where proxy methods carry unbounded tail error — route to full revaluation; no silent degradation, and the route is hash-logged.

14 named refusal gatesThe 5 + 7 + Governor framing maps to a 14-gate constitutional refusal stack. Selected named rules: SYS.GOV.01.SUBSTRATE.NO_RELEASE, SYS.GOV.01.MODEL_AGREEMENT.NO_RELEASE, SYS.GOV.01.MATH_RECONCILIATION.NO_RELEASE, SYS.GOV.01.BAYESIAN_EVIDENCE_FUSION.NO_RELEASE. Each gate blocks the verdict until cleared.

Output surface · what MRM receives

What is handed to the customer’s MRM function on every approved verdict.

Decision evidence spine5-layer cryptographic spine, SHA-256 chained — input snapshot, kernel & model versions, governor decisions, calibration state, output hash.

SR 11-7 / OCC 2011-12 post-run checkerMulti-pillar gate run after every approved verdict; aligned with Fed Model Risk Management guidance, EU AI Act Article 12, and DORA (EU 2022/2554) where applicable.

Shadow Ledger · backtest harnessArmed; REALIZED_BACKTEST_PASS is forbidden before 250 matched observations — a gate, not a policy.

Reproducibility snapshotBit-for-bit replay store; any historical analysis re-executes to the same hash.

Trace export · regulator-safeFull lineage export with no kernel disclosure — public proof, secret construction.

Determinism proof1 hash across 1,000 fresh-process repeats.

Pre-trade gate · three surfacesMixed gate (24M lane): 24M orders, 88.83% ALLOW / 11.00% REVIEW / 0.16% BLOCK, p99 1.064 ms. Mixed gate (50M lane): ALLOW 9,999,675 / REVIEW 40,000,124 / BLOCK 201, p99 band 0.85–0.93 ms, p999 band 1.8–2.5 ms. Stress gate (50M lane): BLOCK 50,000,000 by zero false-ALLOW construction, p99 0.84–0.87 ms, p999 up to 2.409 ms.

Latency disclaimerInternal risk-service compute latency only — not STAC-T1, not wire-to-wire, not NIC-to-order-egress, not broker / order-routing latency.

DRCET-1 protocolOpen Equivalence-Testing Protocol submitted to SSRN on June 7, 2026 (Abstract ID 6893318, preliminary upload). Sampling-resolution-bounded equivalence benchmark with Berger-Hsu interval inclusion against Monte Carlo bootstrap confidence intervals at Bonferroni-corrected 99.75% (k = 20), with mandatory WATCH disclosure rather than vendor overclaim.

Real-name attributionRecurring tail contributors recorded by frequency — observation, not forecast.

Live lineage dashboard/arin22-demo — every claim ladder-able to its evidence.

Evidence substrate

The council does not reason in a vacuum.

Hydra Ontology114 M entity nodes · 336 M relationships · 9.1 M RAG chunks (hash-pinned audit graph), plus ~500 M operational embedding (runtime H100 similarity routing, not the audit substrate). Every retrieved fact carries source, timestamp, and evidence weight; the 7-rule audit refuses any narrative claim lacking a corresponding subgraph.

5-LLM inference sovereigntyvLLM (local H100) → NVIDIA NIM → frontier reasoning → alternate reasoning → local quantised fallback. NVIDIA-first, NeMo-guardrailed, DORA-aligned — no vendor lock-in. All LLM lanes are restricted to the narrative-prose layer; numerical computation is deterministic kernel only.

Regulatory & compliance frame

Frameworks the pipeline is designed against — alignment, honestly tiered (see /security for per-framework status):

Model riskFed SR 11-7 / OCC 2011-12 (canonical Model Risk Management guidance) · EU AI Act Article 12.

Market & capitalBasel III IMA · FRTB-IMA · BCBS · Pillar 3 · IFRS 9.

InsuranceSolvency II · IFRS 17.

Operational resilienceDORA (EU 2022/2554).

Security & privacySOC 2 Type II (audit window Q3 2026) · ISO 27001 · NIST CSF 2.0 · CCPA / CPRA · GDPR / UK GDPR.

External MRM ownership remains customer-side; the customer’s own book is the validation target. Full security & compliance →

Phase Map · honest roadmap

Clear states, no binding production promotion before closure.

Phase 0 · Verdict Integrity + SSOTGUARDED_INTERNAL. check-nasdaq-phase0-readiness PASS · live export smoke PASS · stale PDF export fail-closed.

Phase 1 · Challenger / Regulatory WedgeDESIGN-PARTNER READY. PASS/WARN review export fixtures, live local API export, incumbent import bridge for Calypso VaR/CVaR, AxiomSL/FRTB ES, internal bank MC, challenger audit-ledger drilldown, partner payload mode, pilot bundle, dry-run runbook, and incumbent risk import contract.

Phase 2 · Pre-Trade Risk GovernorREVIEW ONLY. Typed market-data contract, six-order replay fixture (ALLOW 1 / REVIEW 3 / BLOCK 2), CPU mirror smoke, latency bands. No production ALLOW emission.

Phase 3 · Risk-per-tick / Auction risk-deltaREVALIDATION REQUIRED. Current-kernel smoke started: 9 portfolio-tick updates + 2 auction/cross cases. Load/parity: 216 processed updates + 4 auction/cross cases, p999 75.272ms local dev wall-clock, stale-input fail-closed proof, arithmetic/decision mirror PASS. Full promotion still requires 60M+ replay/load scale and true CPU performance mirror/parity.

Phase 4 · Surveillance risk-consequence overlayDEFERRED_RISK_CONSEQUENCE_ONLY. Typed external-event contract prepared. ARIN22 may compute portfolio risk consequence after a client/vendor/exchange event is supplied. Detection and enforcement remain out of scope; no SMARTS replacement claim.

Engagement Models

Pilot, module, enterprise, sovereign, or embedded kernel.

Pricing is disclosed under signed engagement. Each path includes a scope boundary, evidence pack, and cannot-claim matrix.

Paid Pilot · 4–8 weeksOne portfolio or one entity stress assessment. Challenger report, divergence analysis, evidence pack.

Module License · annualSingle domain: sovereign / city risk, insurance, banking, infrastructure, real estate, or asset management. Web UI + API + reports.

Enterprise License · annualMulti-domain ARIN + KOKON + Risk Analyzer + API + monitoring for multiple departments.

Sovereign / On-Prem / Air-GappedOn-prem deployment, private graph / RAG, custom integrations, and strict data-policy isolation.

Embedded Kernel / APIARIN22 as computational layer for existing risk systems; an accelerator for stress / tail / cascade analytics, not a replacement for incumbent platforms.

Product tour · seven surfaces

Representative production screens for each of the seven modules — captured from public endpoints, no staging environments.

Module 01 · 11 screensGlobal Risk Intelligence3D Globe · Multi-Domain Stress

GRI — Command workspace (March 2026) — Command Workspace — Global Risk Intelligence production surface (March 2026)

GRI — Analytics view (March 2026) — Analytics View — Live risk intelligence console (March 2026)

GRI — Globe Overview — Globe Overview — interactive 3D globe with real-time risk-heatmap overlay

GRI — Country Drilldown — Country Drilldown — multi-domain risk stress analysis with threat decomposition

GRI — City Analysis — City Analysis — Urban risk profiling with enterprise-level assessment

GRI — Risk Comparison — Risk Comparison — Side-by-side city and country comparison with delta analysis

GRI — Enterprise View — Enterprise View — Digital twin infrastructure with zone-based placement

GRI — Cascade Analysis — Cascade Analysis — Risk propagation modeling across interconnected systems

GRI — Stress Testing — Stress Testing — Multi-scenario stress analysis with NVIDIA PhysicsNeMo

GRI — Insurance Dashboard — Insurance Dashboard — Premium calculation with exposure mapping

GRI — Risk Report — Risk Report — Institutional-grade PDF with full factor attribution

Module 02 · 7 screensRisk AnalyzerVaR/CVaR · Monte Carlo · Portfolio

Risk Analyzer — Portfolio Dashboard — Portfolio Dashboard — VaR/CVaR metrics with Monte Carlo confidence intervals

Risk Analyzer — Stress Test — Stress Testing — Multi-factor scenario analysis with historical replay

Risk Analyzer — Monte Carlo — Monte Carlo Simulation — production runs scaled to billions of paths on 8×H100; deterministic kernel anchors CVaR 99.9 within 0.035% of a 10M-path MC reference

Risk Analyzer — Optimization — Portfolio Optimisation — constrained efficient frontier

Risk Analyzer — Correlation — Correlation Matrix — Asset cross-correlation with regime detection

Risk Analyzer — Risk Decomposition — Risk Decomposition — Factor-level attribution and contribution analysis

Risk Analyzer — Reporting — Risk Report — Automated institutional-grade PDF generation

Module 03 · 13 screensARIN Geospatial22-Agent Council · Decision Flow

ARIN — Executive Dashboard — Executive Dashboard — 22-agent governance council verdict with risk posture overview

ARIN — Risk Overview — Risk Overview — Multi-dimensional threat assessment with severity heatmap

ARIN — Decision Flow — Decision Flow DAG — Fan-out/fan-in decision graph with animated particle flow

ARIN — Impact Graph — Impact Graph — risk-propagation network with entity-relationship mapping

ARIN — Sentiment Analysis — Sentiment Analysis — Real-time sentiment monitoring across data sources

ARIN — Ecosystem Map — Ecosystem Map — Entity interdependency visualization and cluster analysis

ARIN — Treemap — Risk Treemap — Hierarchical risk categorization with proportional severity

ARIN — Timeline — Sentiment Timeline — Historical event correlation and trend detection

ARIN — Deep Graph — G6 Deep Graph — Advanced network analysis with community detection

ARIN — Flow Analysis — Flow Analysis — Risk cascade propagation and dependency mapping

ARIN — Agent Council — Agent Council — 22-agent governed council with calibration-aware consensus

ARIN — Explainability — Explainability — Full audit trail with factor attribution and confidence scoring

ARIN — Alerts — Alert System — Proactive risk notifications and early warning triggers

Module 04 · 4 screensInvestment DashboardEquity Research · Report Agent

Investment Dashboard — Overview — Investment Dashboard — stock screening with deterministic fundamentals and rule-based scoring

Investment Dashboard — Analysis — Equity Analysis — Technical indicators with automated signal generation

Investment Dashboard — Portfolio — Portfolio Tracker — Multi-asset tracking with real-time valuations

Investment Dashboard — Report — Report Agent — deterministic metrics with narrative-prose layer and institutional report packaging

Module 05 · 16 screensDigital Assets AnalyticsOn-Chain · Domain-Bounded Routing

Digital Assets — Market Overview — Market Overview — Real-time crypto market dashboard with price tracking

Digital Assets — On-Chain Metrics — On-Chain Metrics — Transaction volume and network activity analysis

Digital Assets — Token Analysis — Token Analysis — Fundamental metrics and tokenomics breakdown

Digital Assets — DeFi Tracking — DeFi Tracking — Protocol TVL monitoring and yield analysis

Digital Assets — Whale Monitoring — Whale Monitoring — Large transaction detection and wallet tracking

Digital Assets — Domain-Bounded Routing — Domain-Bounded Routing — agent-graph pruning for crypto-specific pipelines

Digital Assets — Portfolio — Crypto Portfolio — Multi-chain asset tracking and PnL analysis

Digital Assets — Correlation — Correlation Matrix — Cross-asset correlation and regime detection

Digital Assets — Risk — Risk Assessment — Volatility modeling and drawdown analysis

Digital Assets — Exchange — Exchange Analysis — CEX/DEX volume comparison and liquidity depth

Digital Assets — NFT — NFT Analytics — Collection tracking and floor price monitoring

Digital Assets — Sentiment — Crypto Sentiment — Social media and news sentiment analysis

Digital Assets — Staking — Staking Analytics — Validator performance and reward tracking

Digital Assets — Derivatives — Derivatives — Futures and options market analysis with funding rates

Digital Assets — Alerts — Alert System — Custom price and on-chain activity triggers

Digital Assets — Reports — Reporting — Automated crypto portfolio and tax reporting

Module 06 · 7 screensNews AnalyticsRiskMirror · Impact Graph · NLP

News Analytics — Dashboard Overview — News Analytics — Main dashboard with real-time news feed and sentiment analysis

News Analytics — Impact Graph — Impact Graph — Entity relationship mapping with propagation analysis

News Analytics — Sentiment Timeline — Sentiment Timeline — Event correlation and trend detection

News Analytics — Topic Analysis — Topic Analysis — NLP-powered topic clustering and keyword extraction

News Analytics — Source Intelligence — Source Intelligence — Media credibility scoring and bias detection

News Analytics — Alert System — Alert System — Custom triggers and real-time market intelligence notifications

Module 07 · 8 screensKOKON Control PlaneClosed-loop · Governance · Audit receipts

KOKON — Mission Control (March 2026) — Mission Control — closed-loop governance overview and operating state

KOKON — Cross-Company Loss (March 2026) — Cross-Company Loss — company-level loss surface and exposure mapping

KOKON — Loss Map (March 2026) — Loss Map — geographic propagation surface for scenario impacts

KOKON — Decision Tape (March 2026) — Decision Tape — ordered governance events with traceable state changes

KOKON — Receipt Browser (March 2026) — Receipt Browser — WORM-sealed PrevSHA → ChainSHA audit receipts

KOKON — Approval Queue (March 2026) — Approval Queue — human approval, exception handling, and gate status

KOKON — Council Session (March 2026) — Council Session — agent deliberation context and Governor routing

KOKON — Audit Trail (March 2026) — Audit Trail — replayable governance chain for model-risk review

Walkthrough

A line-by-line review of the pipeline, governance, and evidence.

A 60-minute session — screen-share, founder Q&A — covering the six stages, the output surface, the three governance surfaces, and the evidence matrix.

Request a pipeline & governance walkthrough

Pre-client diligence-ready with a strong public-portfolio H100 validation package, not yet externally production-approved; embeddable inside existing workflows, not a replacement for Aladdin / Bloomberg / Murex / MSCI.