Immutable. Replayable. Regulator-Ready.

The Compliance Infrastructure for the Agentic Enterprise

Lyslle is the black box recorder for AI agents in finance. We capture, archive, and replay the full reasoning context of every decision in a WORM-compliant graph.

Talk to the Founders

The execution gap.

"The SEC calls. Your AI agent made 10,000 trades last quarter. Can you explain a single one?"

Agents scale instantly.

Agents trade, lend, and score risk faster than humans can supervise. 86% of financial firms expect major AI agent growth.

Oversight is blind.

Current tools log the output, not the reasoning. When regulators ask 'why,' no one has an answer.

Regulators are here.

SEC & FINRA classify AI as supervised technology. FINRA 24-09 mandates traceable AI decisions.

The flight recorder for AI.

Lyslle proves exactly why every decision was made.

01 Capture

Real-time telemetry

Embedded in the agent execution path. Captures reasoning chains, policy evaluations, and overrides as they happen.

02 Archive

Immutable graph

WORM-compliant temporal graph with cryptographic signing. Every decision becomes an SEC 17a-4 compliant artifact.

03 Replay

Audit reconstruction

Full state reconstruction at any past moment. Regulators replay any decision exactly as it occurred.

Observability is debugging.
Lyslle is legal defense.

Observability tools tell you if your agent failed today. Lyslle proves to the SEC why your agent made a specific trade three years ago.

✓ SEC Rule 17a-4(f) ✓ FINRA Rule 3110 ✓ OCC SR 11-7

Four steps. Zero disruption.

Step 01

Agent Executes

AI agent makes a decision in trading, risk, or compliance.

Step 02

Lyslle Intercepts

Embedded in execution path—zero latency, captures full context.

Step 03

Graph Archived

Signed, timestamped, written to immutable WORM graph.

Step 04

Audit Replay

Any decision fully reconstructed at any future moment.

Why Not Build In-House?

The structural and technical impediments to internal compliance tools.

01 Separation of Duties

Under OCC SR 11-7, the team that builds AI agents cannot also validate their compliance. Regulators require an independent validator.

02 The Focus Problem

Compliance infrastructure is never a customer's core mission. Internal builds get deprioritized when revenue projects compete for engineers.

03 Expertise Gap

Requires deep knowledge of LLM architectures, WORM-compliant archival, temporal graphs, and the regulatory exam process.

04 Regulatory Velocity

Keeping up with FINRA 24-09, EU AI Act, and continuous regulatory updates requires singular focus.

Built by experts at the intersection of AI, finance, and compliance.

Our team sits at the exact intersection of AI infrastructure and financial regulation compliance. We bring together a unique blend of builder experience and regulatory exam fluency.

  • AI Lineage & Infrastructure: Deep expertise building GenAI lineage infrastructure, model cataloging, and deployment tracking at Google DeepMind.
  • Frontier Vertical AI: Experience developing vertical AI solutions focused on finance in partnership with OpenAI Forum and The Wharton School.
  • Financial Compliance Expertise: 15+ years leading financial systems transformation, navigating complex regulatory landscapes, and running compliance exam preparation for banks.
  • RegTech Expertise: Proven background in building AI-powered products for digital communications compliance and risk management in regulated industries.
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