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The Trust Layer for Agentic AI
89% of AI agent pilots never reach production. The bottleneck isn’t capability — it’s trust.
40% of enterprise apps will embed AI agents by end of 2026. Quality infrastructure hasn’t kept pace.
$2.5 trillion in global AI spending this year. Every agent deployed needs monitoring, QA, and accountability.
OpenAI“Is this agent allowed to do this?”
An agent can pass every security check and still hallucinate.
“Is this agent doing this well?”
Trust is what gets agents from pilot to production.
Human operators + proprietary platform monitoring AI agent fleets in real time.
Human Intelligence works within existing client systems and operating processes
Adds AI review, exception handling, QA, and human-in-the-loop decisions
Low-friction deployment with recurring managed-service revenue
No rip-and-replace — we layer into what already exists
Clients send AI outputs and review tasks directly into Human Intelligence
HI routes work through AI + human oversight for quality and resolution
Expands into deeper integrations, higher-volume workflows, and platform revenue
Managed delivery first — deeper software integration over time
SOM is deliberately narrow. We start where urgency is highest and expand into enterprise.
Techstars NOLA Powered by J.P. Morgan ’24 Founder (Pocmi)
2x M.S. (Intl Business + Construction Mgmt) · FIU
Techstars Atlanta Powered by J.P. Morgan ’24 Founder (CommerceJet)
B.S. Management Info Systems · U of Arkansas
Sr. Software Engineer & Data Scientist, Amazon (6yr)
The trust layer for the AI workforce.
“You don’t trust what you can’t measure. We measure it.”