What is Prexa?
Design intelligence for agentic AI systems.
Prexa helps companies design, build and validate safer AI agent ecosystems before production exposure is created.
It evaluates proposed new agents against the architecture they will enter, identifying interaction paths, permission exposure, approval gaps and downstream workflow impact before build or release.
Why now?
Agentic AI has created a new class of system complexity.
Companies are moving from isolated AI assistants to ecosystems of agents that interact with tools, data, approvals, workflows and each other.
As these systems become more connected, exposure is no longer contained inside one agent. It emerges from how agents interact — and most teams cannot see it early enough.
Prexa gives teams earlier visibility before engineering cost, architectural lock-in or production exposure is created.
How Prexa works
From architecture to cross-agent analysis.
Prexa turns agent architecture and proposed designs into practical validation outputs that security, engineering and governance teams can use before build or release.
Baseline the architecture
Prexa structures the customer’s existing agents, tools, permissions, data access, handoffs and approval flows.
Assess the proposed agent
The proposed agent is evaluated against the architecture it will enter, rather than being reviewed in isolation.
Expose the hidden chains
Prexa identifies cross-agent interaction paths, permission exposure, approval gaps and downstream workflow impact.
Guide the safer build
Teams receive practical design recommendations, control changes and mitigation options before production exposure is created.
Customer value
Safer agent deployment before the expensive part starts.
Most teams discover design problems once engineering has already started, integrations have been planned, or systems are already moving toward production. Prexa moves that visibility upstream.
AI-native companies
Validate new agents before they are shipped into existing products, user workflows or customer-facing systems.
Startups building with agents
Move faster without letting hidden agent interactions become expensive engineering or customer risk later.
Agent builders
Give customers clearer evidence that proposed agents have been assessed against the architecture they will enter.
Enterprise companies
Review proposed AI agents before integration, procurement approval, security review or production release.
AI governance teams
Create earlier evidence for internal risk reviews, approval processes and responsible AI controls.
About us
Built by security and commercial operators for the agentic AI era.
Prexa brings together security architecture, risk modelling, enterprise technology and commercial strategy experience to help companies validate AI agent ecosystems earlier.
Geoffrey H.
Technical Founder
20+ years in security architecture and risk modelling
8 years at Microsoft building enterprise security systems
Board member, UK Cybersecurity Business Network
Led security architecture work across Visa, London Metal Exchange and Ledger
Invited to speak at Black Hat Las Vegas
Oran D.
Commercial Strategy
Commercial strategy and product positioning
Buy-side investor and capital markets background
MBA Finance; experience assessing early-stage and private investments
Investor narrative, strategic partnerships and fundraising readiness
Supports early customer conversations and commercial validation
Book a demo
Validate proposed agents before they enter your system.
Speak with Prexa about validating new AI agents, reviewing architecture exposure and building safer agentic systems before production release.