Autonomous workflows
Build AI agents that research, reconcile records, coordinate tasks, and handle exceptions, with human approval where it matters.
Catalyst AI.
Your solution. Built with AI.
We use Catalyst AI to design and build the AI solution your business needs. Your workflows, integrations, and interfaces are the deliverable, shaped around your goals, systems, and security requirements.
What we build
Operational AI, shaped around the work.
We use Catalyst AI to build autonomous agents, integrations, and applications for you. Choose the capabilities your project needs, from model deployment to ongoing operation.
Integrations, APIs, and MCP
Connect your CRM, internal tools, and data through APIs and Model Context Protocol. Give agents scoped access to take useful action.
Reinforcement learning
Add a self-learning component when your use case calls for it. Reinforcement learning is available for suitable tasks, using defined reward signals, evaluations, and controlled feedback loops.
Choice of models
Choose from our supported frontier and open-source models. We match model capabilities, privacy, latency, and cost to the needs of your solution.
Cost-effective AI
Control inference costs with model routing, caching, and efficient processing. Track spend against the work the system completes.
Operational interfaces
Give your team dashboards to review evidence, approve actions, resolve exceptions, and monitor performance.
From requirements to results
Your engagement, in three steps.
Built around your use case, from advertising operations to investment intelligence. We define, deliver, and improve the solution with your team.
01
Discovery
Define the workflow
Agree on the outcome, success measures, data access, and approval boundaries. Start with the customer requirement and design the solution around it.
In practiceMap campaign handoffs, reporting needs, or the steps in an investment diligence process.
Requirements→Scope→Success measures
02
Delivery
Build and integrate
Use Catalyst AI and the platform capabilities that fit to build your agents, integrations, and interfaces. Connect the solution to the systems your team already uses.
In practiceConnect advertising inventory and campaign systems, or build sourcing and company-enrichment workflows.
Build→Integrate→Evaluate
03
Operation
Operate and improve
Monitor quality, cost, and reliability. Refine the solution with real feedback, adding a self-learning component where the use case requires it.
In practiceTrack campaign exceptions, automate reports, and improve the quality of research and recommendations.
Monitor→Learn→Refine
The Catalyst Platform
Built for you. Backed by the Catalyst Platform.
We can use the Catalyst Platform’s model access, orchestration, integrations, and controls to accelerate your project. We select the capabilities that fit and connect them to your systems through APIs and MCP. The result is the solution you asked us to build.
APIsMCPBusiness systemsHuman review
CUSTOMER SOLUTION PLATFORM FLOW
YOUR CONNECTED SYSTEMS
APIsLive data and events
MCPTool context and actions
Business systemsOperational records
CATALYST PLATFORMBuild on proven capabilitiesModels · tools · controls
01 / Interpret02 / Execute03 / Review
YOUR SOLUTION OUTPUTS
Your workflowsCustomer-specific execution
Your approvalsPeople stay in control
Your reportingResults and exceptions
01 / IDENTITYScoped access
Tenant boundary verified
02 / POLICYEvaluate intent
Tool and data rules applied
CONTROLLED
ACTION
ACTION
03 / REVIEWHuman approval
Sensitive action queued
REVIEW REQUIRED04 / RECORDTraceable outcome
Evidence and action recorded
Security and control
Autonomy needs clear boundaries.
We use the safety and control layers in Catalyst AI and the Catalyst Platform to define boundaries before an agent acts: scoped credentials, tenant and data boundaries, tool policies, and explicit approval points for sensitive actions. Evaluations and evidence checks can hold an uncertain action for review, while activity records make outcomes easier to inspect and improve.
- 01Access with intent
Limit integrations, tools, and data to the workflow and role that need them.
- 02Checks before action
Apply policy and evaluation steps before an action proceeds, with a human decision where the risk calls for it.
- 03Evidence that follows the work
Keep useful records of inputs, decisions, approvals, and outcomes for operational review.
- 04Operational limits
Set model, tool, rate, and cost limits that match the system’s job and operating budget.
Founder-led delivery
AI systems built with security and scale in the room.
Led by Tom DiLemmo, founder of CatalystRL. He has built autonomous agent fleets, multi-model orchestration, and evaluation systems. His security experience includes acting as CISO, implementing SOC 2 Type 2 compliance, and overseeing penetration testing. He has also scaled a privacy platform to 3.5 million users and led global technology teams of more than 40. That combination shapes the architecture, safeguards, and delivery of your solution.
Catalyst AI services