Govern. Integrate. Scale.
We are building the runtime governance infrastructure for the era of autonomous AI in regulated industries.
Founded on a Mission to Make AI Safe at Scale
Founded as a forward-engineered entrant in the agentic-orchestration space, Infocion provides the foundational infrastructure and advanced engineering required to safely scale autonomous AI within highly regulated industries. We operate at the intersection of elite systems integration and software architecture — delivering custom, production-grade multi-agent networks natively via the Model Context Protocol (MCP), alongside our proprietary Infocion Aegis™ Governance Plane.
Rather than building unmanaged, fragile AI wrappers, we deliver production-grade workflows anchored by strict runtime governance. We provide the software plumbing and certified engineering talent necessary to deploy autonomous systems safely — enforcing absolute data sovereignty, continuous audit tracking, and runtime compliance across your entire enterprise perimeter.
To empower enterprises to deploy autonomous AI at scale — with continuous governance, operational safety, and full compliance certainty.
What we stand for
Security by Default
Safety governance is not an afterthought — it is foundational. Every Infocion architecture starts with zero-trust isolation and encrypted boundaries.
Operational Clarity
Enterprises must see, understand, and control every agent's decision. Transparency and auditability are non-negotiable in regulated environments.
Velocity without Compromise
Governance should enable innovation, not slow it. We help enterprises move faster by removing risk — not by adding bureaucracy.
Model-Agnostic Excellence
The best model today may not be the best tomorrow. We build infrastructure that works with Anthropic Claude, Google Gemini, and the wider ecosystem — never locked to a single vendor.
The bench behind the platform
Our founding and technical team brings 150+ years of combined experience across AI engineering, healthcare IT, and clinical operations — the technical sophistication and infrastructure-grade guardrails required to safely deploy autonomous agent networks at global scale.
Mehdi Mahdavi
Chief Executive Officer
Krishna Kumar S
Head of Global Engineering
Ravish A S
Director of Project Delivery
India Engineering Team
AI & Platform Engineers (10+)
Mark Lowry
VP of Sales — Life Sciences
Thomas McBride
VP of Sales — Oncology
Benish Lalani
VP of Sales — Healthcare
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