RegTech & Regulatory Intelligence
AI compliance infrastructure that reasons over regulations, learns from analysts, and writes its own evidence.
Rules-based compliance can't keep up. Regulations multiply. Networks hide risk. Analysts spend more time documenting than deciding. And when regulators ask for evidence, you spend weeks compiling it.
We build agentic compliance layers that reason over regulations in natural language, detect network-level risk with graph neural networks, learn from analyst corrections, and generate tamper-evident evidence packs automatically — anchored and verifiable in seconds.
Your infrastructure. Your data. Yours to own.
Why Agentic
Rules-based compliance that can't keep pace
Agents that reason over regulations in real-time
Transaction-level monitoring blind to networks
GNN-powered network risk detection
Analysts drowning in documentation
Analysts focused on decisions, not paperwork
Evidence generation taking hours or days
Tamper-evident evidence in seconds
Models that never learn from corrections
RLHF models improving from every override
Manual audit trail compilation
Auto-generated, verifiable proof packs
What We Build
Agentic compliance systems for regulated industries
GNN-Powered Risk Intelligence
Graph neural networks that detect risk propagation across entity networks — indirect exposure, clustering, coordinated behavior
LLM Regulatory Reasoning
Query regulations in natural language: "What are my obligations for a high-risk customer in Singapore?" — and get cited answers
RLHF-Optimised Models
Compliance models that learn from analyst corrections — every override improves future decisions
Autonomous Compliance Decisions
Agents that approve, escalate, or flag within defined guardrails — humans supervise, not execute every case
Generative Evidence Narratives
LLMs that write regulator-ready explanations — not templates, actual reasoning tied to the specific case
Tamper-Evident Proof Packs
Deterministic evidence bundles with hashes anchored for sub-second, legally defensible verification
Regulatory Change Agents
Agents that monitor regulatory feeds, detect relevant changes, and assess impact on your products and flows
Immutable Audit Fabric
Every decision captured with inputs, reasoning, and policy links — auto-generated evidence bundles for regulators
Evidence Infrastructure
When regulators or auditors ask for proof, most teams spend days or weeks compiling evidence. We build infrastructure that generates it in seconds.
Deterministic bundles
Every decision packaged with inputs, reasoning trace, policy references, and timestamps
Tamper-evident
Cryptographic hashes anchored on-chain or in immutable storage
Sub-second verification
Auditors verify authenticity in under one second via API
Legally defensible
Format accepted by external auditors as primary evidence record
Version-controlled policies
Every decision tied to specific policy version IDs
Agentic AI in Action
Real AI agents working together autonomously to deliver results in your industry. Select a scenario and watch them work.
This is the exact agent architecture we deploy for clients today.
Synthetic data for privacy. Architecture identical to live client deployments.
From the Field
Less analyst review time
Global digital asset infrastructure provider, agentic compliance layer deployed.
Evidence packs generated in seconds. Analyst time redirected from documentation to investigation.
Most of our work is deep IP creation. Our clients protect what they're building. So do we.
But we can walk you through how we built it and what it achieved.
Talk to an EngineerTechnical Foundations
How we build agentic compliance for RegTech — Deployed on your infrastructure: cloud, on-prem, or hybrid. On-chain anchoring available.
Deployed on your infrastructure — cloud, on-prem, or hybrid. Swiss/EU data residency supported. On-chain anchoring available for regulated environments.
From kickoff to production system. Not a demo—a working system on your infrastructure.