Intelligent Advisor Agents
Deploy an agent workforce that learns your business and improves itself.
Our Commitments
No Walled Garden
Catalyst runs on Anthropic, OpenAI, Google, and every major model provider. Swap models freely, benchmark across providers, and keep your own infrastructure. You are never locked in.
No Invasive Data Requirements
Your IP stays with you. Agents run inside your environment and Catalyst never takes custody of your data. No invasive onboarding, no document uploads. Context is built inside your walls.
The Gap in Enterprise AI
The Solution
Catalyst is a team of intelligent agentic advisors that autonomously assist companies in building best-in-class agents that self-improve, evolve, and earn their autonomy by building trust.
The Problems
▲ The 80% Wall
▲ Agentic Drift
Your Agentic Advisor Team
Liaison
CatalystRL's strategist. Meets your Envoy in the Cleanroom to map your workflows, vocabulary, and goals, then proposes your fleet architecture with expected impact and ROI. Zero production data touched.
- Time to a fleet plan
- 1–2 weeks
- Workflows learned
- 2,400+
- Sensitive customer data used
- None
Envoy
Your advocate inside the CatalystRL platform. Calibrates trust per agent across 5 tiers, routes every high-stakes decision for human approval, and grants earned autonomy only when measured performance clears the bar.
- Trust levels
- 5 stages
- Approvals handled weekly
- 3,400+
- Unapproved actions
- None
Sentinel
The executor, deployed inside your environment with your LLM keys. Our intelligence streams in on demand. Proprietary skills and brain graphs live in context only, never persisted on your disk. Your data is yours; our IP stays ours.
- Tasks run weekly
- 12,408
- Fleet improves
- +2.3% / week
- Our IP on your disk
- None
The Catalyst Platform
It starts with understanding your business.
Before any agent touches production, your Envoy meets our Liaison in the Cleanroom. They learn how your business runs: goals, vocabulary, decisions. The output is a living map every Catalyst agent reads from.
- ■Your team talks to our team. Agents listen and learn
- ■Full audit trail. Both sides see everything that was said
- ■The output is a living map of your business. Every Catalyst agent reads from it
We're currently in a closed rollout with select enterprise partners. To see the platform in action or discuss early access, reach out to tom@catalystrl.ai.
Controlled Autonomy
Involvement
| Humans in the Loop | Every high-stakes decision routes through human approval. Your team stays involved at every step. |
| Earned Autonomy | Agents start fully supervised. Controls ease up only as trust is proven through measurable performance. Probationary15 Supervised40 Trusted60 Verified80 Autonomous95 |
| Full Audit Logging | Every agent action, every decision, every data access recorded and queryable. |
| Role-Based Access | Granular permissions tied to teams, roles, and individual agents. |
Security
| SOC 2 Aligned | Built to meet SOC 2 Type II controls across every service boundary. |
| Your Environment | Data never leaves the customer perimeter. No external transfers, no exceptions. |
| Zero-Trust | Every request authenticated, every action authorized. No implicit trust between services. |
| End-to-End Encryption | All data encrypted in transit and at rest. Agent communications secured across every boundary. |
The Team
Tom DiLemmo
Founder & CEO · New York City
Serial founder and builder with a track record of taking companies from zero to exit. Founded CatalystRL after identifying a critical gap in enterprise AI infrastructure, then built and operated a production agent fleet to prove the thesis before bringing it to market. Driven by the belief that the next wave of competitive advantage belongs to organizations that can deploy AI agents that genuinely improve themselves.
The Agent Team
Autonomous Workforce · Always On
Liaison, Envoy, and Sentinel are actively deployed and running client engagements today. Behind them, a fleet of specialized agents handles evaluation, evolution, trust scoring, and continuous improvement across every deployment. They operate 24/7, learn from every interaction, and get measurably better with each cycle.