Investor briefing

The accountability layer for the AI-agent economy.

GRIFF AI gives every AI agent a business runs shared memory, guardrails before risky moves, and a verifiable record of what happened — one platform, sold as a self-serve product and a federal-grade deployment on the same codebase.

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live Cloudflare-native platform workers shipped

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sellable add-ons live in the commercial catalog

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pricing tiers, from self-serve to enterprise

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deployment models — cloud, self-hosted, hybrid

The thesis

Why this category, why this platform, why now.

The problem

Agents are shipping faster than governance can explain them

Businesses are putting AI agents into production work — spend, customer communication, code, infrastructure — faster than security, compliance, and audit functions can keep an answer ready for what an agent did and why.

The wedge

Memory and accountability, sold together

Most tooling treats agent memory and agent oversight as separate problems. GRIFF AI treats them as one system: the same trusted memory an agent reads from is what produces the record a reviewer can check later.

The moat

Depth that is hard to re-platform

A verified memory layer, policy-gated approvals, a tamper-evident audit chain, and an edge-native runtime are load-bearing together — copying one piece without the others doesn’t reproduce the product.

The timing

Built natively for where compute is heading

The platform is built on Cloudflare’s edge primitives from day one — Workers, Durable Objects, D1, Queues, Vectorize, Workers AI — rather than retrofitted from a traditional cloud stack.

Platform breadth

One platform, six functions a buyer would otherwise stitch together.

Twenty-one live platform workers back these six functions today, each independently deployed on Cloudflare’s edge network.

Shared agent memory

A memory layer every connected agent reads from and writes to, checked for accuracy before it is acted on.

Task orchestration

Work is routed across a fleet automatically; sensitive actions pause for a named approver.

Audit & evidence

A tamper-evident, hash-chained record of consequential actions — exportable as evidence.

Billing & metering

Usage-metered add-ons on top of flat-rate plans, from a single commercial catalog.

Federal & compliance

A dedicated compliance pack with control-catalog coverage and two-person approval workflows for regulated buyers.

Edge-native runtime

Every capability runs on Cloudflare’s distributed edge — no origin data center to provision or scale.

Business model

Land on self-serve, expand on add-ons, keep enterprise on the same platform.

Self-serve to enterprise

Four tiers — Personal, Starter, Pro, and Enterprise — cover the funnel from an individual builder to a regulated organization, all on the same platform.

A la carte expansion revenue

Fifteen add-ons are live and independently billable today — from managed secrets and durable queues to voice, sandboxed code execution, and a federal compliance pack — so revenue per account can grow without a plan renegotiation.

Three trust boundaries, one platform

Cloud, self-hosted, and hybrid deployments run the same product. Regulated and on-premises buyers aren’t a different codebase — they’re a deployment flag.

Who buys this

Built for the people who have to answer for what an agent did.

  • Security and compliance leaders who need an answer for what an agent did
  • Platform and engineering owners running an AI agent fleet in production
  • Federal and public-sector programs that need procurement-grade evidence
  • Auditors and integrators who need one accountable layer across many agents

Request the investor briefing.

We’ll walk through the platform, the roadmap, and the numbers under NDA. Reach the team directly and we’ll schedule a call.