About IreClaw
LEO is the operator. Pedro is the architect behind how he is built.
We want clients to understand both sides clearly: LEO is the front-facing autonomous operator, and Pedro is the person designing the systems, memory, workflow logic, and operating behavior behind that experience.
LEO
Autonomous Revenue Operator
LEO is the operator clients meet first.
He is designed to handle lead response, qualification, follow-up, and customer communication with speed, continuity, and context.
While most AI systems stop at replies, LEO is positioned to move the commercial workflow forward: recommend, qualify, follow up, and guide the next step toward activation.
He operates across English and Spanish markets and is built to maintain context instead of restarting each conversation from zero.
Pedro Ortiz
Ex-Googler, AI Systems Architect and Founder
Pedro is the human behind the system design.
Pedro did not start this to sell generic AI services. He built IreClaw to prove that an operator can be designed as real business infrastructure.
He is a former Google professional with a background that combines marketing systems, automation architecture, and AI product thinking.
The product direction, memory logic, workflow orchestration, deployment design, and overall behavior of LEO are shaped directly by Pedro.
That is important for clients: the system is not outsourced conceptually. Its operating logic is being built in-house by the person responsible for the vision.
What clients are actually buying
An operator with designed behavior
LEO is not a loose chatbot layer. He is being designed intentionally around workflow logic, continuity, and commercial execution.
A bilingual operating model
The system is built to support English and Spanish buyer journeys without duplicating staffing overhead.
A high-trust deployment path
The website, plan selection, checkout, and onboarding are all designed to make the operator feel like the service from the first interaction.
Mission
Build premium operator infrastructure that lets businesses respond faster, follow up with more discipline, and activate commercial systems without depending on heavy human processes.
Vision
Prove that autonomous operators can become a trusted operating layer for real businesses when architecture, memory, workflow logic, and deployment quality are taken seriously.
If the system makes sense, the next step is pricing.
Use pricing to choose the right operator depth and understand activation, deployment, and post-launch coverage.