IronClaw architects secure, policy-compliant AI agent systems for regulated firms. Deploy coordinated 24-hour AI teams with full audit trails, access controls, and enterprise governance.
Open-source frameworks like OpenClaw have proven that AI agents can run autonomously around the clock — coordinating tasks, maintaining heartbeats, executing on schedules. That's the lobster. IronClaw is the titanium shell. We take those battle-tested agentic principles and apply them safely to your controlled AI environments.
Open-source agent frameworks let AI do anything. Your compliance team needs to define what it can't.
When an agent takes action at 3 AM, you need to know exactly what happened and why — before the regulators ask.
Autonomous agents need scoped access to data, systems, and APIs. Unrestricted access is a liability.
Firms run multiple AI tools in silos. Without orchestration, you get duplication, conflicts, and blind spots.
IronClaw doesn't replace your AI stack — it orchestrates it. We design and implement secure agent systems that work within your existing enterprise AI tools, APIs, and platforms, tailored to your firm's compliance requirements and operational workflows. Your policies. Your controls. Our architecture.
Configuration-driven governance that defines what agents can access, execute, and modify — version-controlled and auditable like infrastructure-as-code.
Heartbeat monitoring, scheduled task execution, and coordinated multi-agent workflows with policy gating on every action.
Complete logging of every agent decision, action, and data access. Built for regulatory review from day one.
Connect AI agents to your existing systems — APIs, databases, internal tools — with scoped permissions and secure credential management.
Escalation workflows, approval gates, and a command center for real-time visibility into what your AI team is doing.
Designed for production workloads. From a single agent handling back-office tasks to coordinated teams running complex operational workflows.
IronClaw takes the proven agentic loop architecture — heartbeats, cron scheduling, autonomous coordination — and wraps it in three layers of enterprise control. It works within the AI tools your company already uses, not against them.
IronClaw is purpose-built for firms where compliance isn't optional and AI deployment requires governance by design.
AI-powered deal flow analysis, portfolio monitoring, and operational workflows with investor-grade audit trails.
Autonomous agents that operate within regulatory frameworks — SOX, FINRA, OCC guidelines — with full compliance logging.
HIPAA-aware agent orchestration for research data workflows, clinical operations, and administrative automation.
Confidentiality-first AI deployment with privilege-aware access controls and document handling governance.
IronClaw wasn't designed in a lab. It comes from years of building secure, AI-integrated data platforms inside the firms that need this most.
Our founder has managed data engineering and AI integration efforts at Citadel — Treasury modernization and AI-driven code translation — and a leading private equity firm — architecting financial data platforms, modernizing Treasury pipelines, and implementing enterprise security and governance at scale.
In healthcare, that same discipline was applied to building HIPAA-compliant data architectures and early implementations of generative AI for synthetic health records — proving that powerful AI systems can operate safely inside the most regulated environments.
IronClaw is the next evolution of that work: applying enterprise-grade security and governance to autonomous AI agent teams.
We work with a limited number of firms to ensure deep engagement. Reach out to discuss how IronClaw can architect your secure AI agent deployment.