Unlocking the agentic economy.
Most institutional AI deployments stall at risk and compliance sign-off. IAP unlocks this trapped capital with a non-custodial trust layer. The full investment case sits in our secure data room.
The Global Mandate for Trusted Transactions
As financial institutions move from small AI pilots to scaled production, the entire capital markets ecosystem faces a critical new checkpoint. [1, 2]
“The future of trusted transactions will not depend only on knowing who someone is. It will also depend on understanding what they intended, what their AI agent was allowed to do and whether the action can be explained after the event.”
$97B AI spend by 2027
Financial services firms are projected to spend nearly $97 billion on AI by 2027. Yet sustainable value cannot be realized through innovation alone.
Capital stays trapped
Institutions lack a way to turn broad governance principles into real-time, embedded infrastructure controls.
IAP is the enforcement layer
IAP Exchange provides that missing enforcement layer today.
Inside the data room.
Pitch deck
The full investment narrative and roadmap.
Financial model and unit economics
Revenue build, cost base and margin path.
Market sizing and bottom-up TAM build
Institution-by-institution, staged over ten years.
Technical architecture and defensibility
The enforcement layer and what protects it.
Competitive landscape
Where A2A, AP2 and algorithmic trading stop.
Regulatory alignment and design-partner pipeline
Who we build with and what they have committed to.
Live platform walkthrough
A guided session on the running product.
Bottom-up TAM build
A realistic universe of institutions, staged from design partners to market standard.
Technical defensibility
Seven layers that are hard to copy and harder to retrofit.
Competitive landscape
Why the well-funded agent frameworks do not touch wholesale capital markets.
Detail on market sizing, defensibility and competitors is shared directly with qualified investors rather than published.
Request access to the secure data room.
Three details is all we need. We review every request personally and respond within two business days.