The Governed Agentic Harness Platform for Regulated Finance
Autonomous, Explainable, and Quantum-Optimized AI for the Financial Enterprise
Transform Complexity into Execution with Agentic AI + Quantum Algorithms .
We combine evidence-gated Agentic AI with certified quantitative optimization to turn complex regulatory, liquidity, and collateral decisions into auditable, real-time execution. Our platform is designed for financial institutions that require both intelligence and uncompromising governance.
Latest Research:
1. A Certified Higher-Order Quantum Framework for CSA and Margin-Aware Collateral Optimization
2. Hybrid LLM and Higher-Order Quantum Approximate Optimization for CSA Collateral Management
What We Deliver
Collateral & Liquidity Optimization
Dynamically allocate and optimize collateral using LLM-driven CSA interpretation combined with a certified higher-order quantum optimization layer (CR-HO-QAOA). All candidates are decoded, repaired when necessary, and validated by a deterministic CP-SAT solver before any recommendation is produced.
- Improved certified candidate quality versus standard QUBO baselines (synthetic benchmarks)
- Constraint-preserving mixers that respect CSA eligibility, concentration limits, custody batches, and side-specific (VM/IM) requirements
- CP-SAT-verified outputs ensuring feasibility and audit-ready compliance
- Adapter-first design: supports official SIMM, proxy SIMM, legacy IA, VM-only, and hybrid margin sources without recalculating regulatory IM
AI-Auditable Risk & Compliance
TTranslate legal agreements and policy documents into machine-verifiable logic with full provenance. Our deterministic-first extraction pipeline with bounded LLM augmentation delivers transparent, clause-level traceability from source text to structured output.
- Strong evidence linkage and citation coverage from source CSA documents
- Clear separation between source-extracted terms and benchmark/synthetic assumptions
- Governance states (READY, WARNINGS, HUMAN REVIEW, ABSTAIN) for operational control
- Full audit packs suitable for Model Risk, Legal, and regulatory review
Agentic Treasury Automation
Autonomous agents that monitor, reason, and propose actions across funding, liquidity, and collateral flows — always operating inside governed boundaries and integrated with existing risk engines and market data systems.
- Real-time event-driven re-optimization capabilities
- Quant-grade objective functions with adaptive intelligence
- Seamless enterprise integration via controlled tool/MCP boundaries
Enterprise Integration & Governance
Deployed with bank-grade controls. The entire pipeline is built on the Governed Agentic Harness pattern — supervisor orchestration, typed artifacts, deterministic gates, and provenance invariants — ensuring model outputs remain proposals until certified.
- Role-based access control and full model traceability
- Clear distinction between benchmark-only and production-reportable outputs
- Modular deployment (cloud, on-prem, or hybrid)
- Designed to meet expectations from SR 11-7, OSFI E-23, DORA, and EU AI Act high-risk requirements
Autonomous Multi-Agent Workflows: Engineered for Your Industry
From Questions to Coordinated Actions — Powered by Specialized AI Agents.
We build and deploy intelligent Agentic AI systems tailored to your domain. Unlike generic LLMs, our agents are designed for autonomy: they natively understand your complex terminology, follow regulatory logic, and execute intricate, multi-step workflows in real time. [Demo] [Report 1] [ Report 2]
What We Deliver
Multi-Agent Orchestration & MCP: Deploy specialized agents that collaborate seamlessly using the A2A Protocol. We ensure consistent context and state across all agents via the Model Context Protocol (MCP), eliminating data silos within the workflow itself.
Dynamic Task Decomposition: Agents autonomously break down multi-intent requests (e.g., “Check plan, summarize risk, fetch latest filings”) into sequential, executable, and auditable steps.
Real-Time Tool Execution: Full control over your environment, enabling real-time orchestration across APIs, SQL databases, vector stores, and critical compliance functions.
Transparent Agent Logic: Built-in mechanisms provide step-by-step explainability and audit logs for every decision, ensuring the full visibility required by IT and regulatory teams.
Industries We Transform:
Financial Services: Wealth planning, regulatory compliance, portfolio automation.
Legal: Contract review, complex clause retrieval, policy alignment, and risk modeling.
Insurance: Automated claims analysis, accurate risk categorization, and fraud triage.
Hyper-Grounded Knowledge: The Hybrid Domain Engine
We replace basic RAG with a Hybrid Solution that embeds your proprietary knowledge and domain logic directly into the Agentic workflow. This is not just retrieval; it is the foundation for autonomous, compliant decision-making in the enterprise.
Technical Advantage: The Enterprise Knowledge Loop
Our pipeline transforms unstructured data, policy manuals, and complex records into actionable intelligence that fuels agent autonomy.
Hybrid Search & Indexing: We combine advanced vector indexing with keyword search (Hybrid Search) and Knowledge Graph architectures for superior relational understanding, ensuring agents retrieve contextual connections, not just isolated text.
Domain-Specific LLM Fine-Tuning: We fine-tune the core Language Model and embeddings using your specialized data and terminology, creating a Domain LLM optimized for your internal logic and industry language.
Symbolic Validation: Agents use a Compliance-Aware Knowledge Base for a form of symbolic reasoning, allowing the system to logically validate proposed actions against specific regulatory thresholds before execution.
Self-Correction & Auditability: The system incorporates Self-Correction mechanisms, where the agent evaluates its own output against retrieved data and internal policy, ensuring guaranteed accuracy and generating full audit trails for governance.
Outcome: Workflow-Integrated Trust
The result is a reliable, enterprise-grade AI engine that enables:
Context-Relevant Automation.
- Reduced Operational & Regulatory Risk.
- Decisions you can confidently integrate into your core business workflow.
Built for Enterprises — Secure, Scalable, and Flexible
Deployable in the Cloud, On-Premise, or Hybrid Environments
Whether you operate under strict data residency laws or need elastic scalability, our solution fits your architecture. We offer secure, modular ReAct agent services deployable across cloud, hybrid, or fully air-gapped environments — while ensuring full compliance with global data protection standards like GDPR, CCPA, and industry-specific frameworks.
Our Data Privacy Commitment:
- GDPR & CCPA-ready architecture with data minimization and user consent controls
- Full encryption for data in transit and at rest (TLS 1.2+, AES-256)
- Configurable data retention policies and deletion APIs
- Audit logs, access controls, and role-based security enforcement
Whether you operate under strict data residency laws or need elastic scalability, our solution fits your architecture. We offer secure, modular ReAct agent services deployable across cloud, hybrid, or fully air-gapped environments.
Key Features:
- Docker/Kubernetes ready for on-prem or private cloud
- Cloud-native API endpoints for easy SaaS integration
- Redis + Postgres memory for contextual continuity
- Secure agent execution logs and audit trails
- Built-in observability, role-based access, and tool governance
Who It’s For:
Organizations in regulated industries seeking AI automation that respects compliance, privacy, and enterprise IT standards.
