AI Interface

Multi-Agent Intelligence Hub

Institutional-grade orchestration across 16 governed AI agents purpose-built for financial analysis, forensic auditing, compliance monitoring, security hardening, and document intelligence — coordinated through Bridge Relay v3.9 with Redis-backed stigmergy. Every agent operates under full audit trails, role-based access, and token-level traceability aligned with NIST AI RMF and ISO 42001. Access requires authorized credentials.

NIST AI RMF ISO 42001 SOC 2 Compliant COBIT 2019

Authorized Access Required

Agent Swarm

Cooperative AI agents coordinated through Bridge Relay with Redis-backed stigmergy.

$ ./init --agent nexus

ACTIVE

$ ./init --agent nexus

NEXUS — Chief AI Architect

{ "agent": "NEXUS", "role": "Chief AI Architect", "type": "Central Orchestrator", "dispatch": "Bridge Relay v3.9", "capabilities": [ "multi-agent coordination", "Redis-backed stigmergy", "risk-gated escalation", "token-level traceability", "context-aware delegation" ], "governance": "full audit trails" }

$ ./init --agent ledger

ACTIVE

$ ./init --agent ledger

LEDGER — CFO-Level Financial Analysis

{ "agent": "LEDGER", "role": "CFO-Level Financial Analysis", "type": "Financial Modeling Engine", "standards": ["GAAP", "IFRS"], "capabilities": [ "derivatives valuation", "Monte Carlo simulations", "portfolio risk analytics", "fair value mark-to-market", "regulatory capital modeling" ], "output": "institutional statements" }

$ ./init --agent cipher

ACTIVE

$ ./init --agent cipher

CIPHER — Forensic Accounting

{ "agent": "CIPHER", "role": "Forensic CPA", "type": "Forensic Intelligence", "standards": ["AICPA", "ACFE"], "methods": [ "Benford's Law analysis", "fraud pattern recognition", "anomaly detection", "transaction graph mapping", "shell company detection" ], "output": "CPA-grade workpapers" }

$ ./init --agent vigil

ACTIVE

$ ./init --agent vigil

VIGIL — Compliance Officer

{ "agent": "VIGIL", "role": "Compliance Officer", "type": "Regulatory Monitor", "frameworks": ["NIST", "SOX"], "capabilities": [ "AML/CFT screening", "GDPR data governance", "real-time policy enforcement", "continuous audit readiness", "regulatory change tracking" ], "governance": "immutable control logs" }

Additional agents available. Request access or inquire for details.

AI Ecosystem

Multi-provider architecture across 43 governed MCP pipelines with token-level auditability.

Frontier AI

Frontier AI Providers

Our multi-provider AI architecture integrates Claude (Anthropic), GPT-4 (OpenAI), and Gemini (Google) as primary reasoning engines for governance, compliance analysis, and automated document generation workflows. DeepSeek-R1 and Groq provide specialized inference for mathematical reasoning and ultra-low-latency processing tasks. All providers are orchestrated through governed MCP pipelines with token-level auditability, automatic fallback cascading, and cost optimization.

Open-Source AI

Open-Source AI & Model Routing

xAI (Grok) and Ollama provide local-first inference with 7 self-hosted models including qwen3.5, qwen2.5-coder, phi4-mini-reasoning, moondream, deepseek-r1, qwen3, and nomic-embed-text — enabling air-gapped operation and zero-data-egress compliance for sensitive workloads. Replicate handles GPU-intensive tasks for image generation (Flux.1) and 3D asset creation (Hunyuan-3D) on demand. OpenRouter serves as our L3 fallback gateway, routing across 300+ models with automatic cost optimization and intelligent rate-limit handling.

The logos displayed represent tools and platforms used in internal workflows, system development, and research. They do not imply endorsement, partnership, or affiliation unless explicitly stated.