The PAICE foundation
PAICE.work is the flagship product — behavioral reliability measurement for AI-assisted work. PAICE.work PBC is the company — a Public Benefit Corporation where mission alignment is enforceable through governance, not asserted on a values page. paice.foundation is the portfolio surface for the operating layer: the products, standards, and public infrastructure that make aggregated intelligence measurable.
Aggregated intelligence is the collective cognitive output of people and systems working together. AI changes the scale, speed, and failure modes of that output. PAICE exists because the market is adopting the capability faster than it can measure the human, technical, and regulatory conditions around it.
Every offering here was built because the existing ecosystem could not deliver it fast enough. The portfolio is not a venture studio placing unrelated bets. It is a mission-locked operating system: commercial products for regulated industries funding open contributions the field needs, with working implementations offered as open proposals rather than competing specs.
Foundations for the agentic web
The agentic web is arriving. AI agents browse sites, compare options, negotiate on behalf of users, and coordinate with other agents. The infrastructure they need — provenance, boundaries, structured knowledge, accessibility, peer protocols, and regulation-aware records — is what this portfolio exists to provide.
We call this discipline Agentic Trust Engineering: designing the standards, tooling, and measurement systems that make AI-assisted work measurable in practice, not merely confident in demos.
The measurement layer is AI Posture — the public shape of the operating layer. It scores three vectors: People (PAICE.work), Infrastructure (Siteline), and Regulation (Every AI Law). An organization's posture cannot be higher than its weakest vector. That constraint is structural, not a product bundling decision, because the domains genuinely limit each other. The structured version is available at ontology.json and relationships.yaml.
How they connect
The portfolio graph above is the canonical compression: People, Infrastructure, Regulation, and Combined Posture supported by agent trust primitives and knowledge infrastructure. Each layer stands on its own; together they share a vocabulary and a posture model.
Dogfooding status
This site uses the standards it publishes where they apply: GuideCheck Level 3 assistant-guide conformance, public LLM context files, ontology and relationship graph endpoints, permissive agent access policy, agent capability metadata, security contact metadata, and a public change feed. Graceful Boundaries is not applicable to this static portfolio surface because it has no rate-limited service endpoint; Siteline is the portfolio's Level 4 Graceful Boundaries reference implementation.
Why this is fundable
Revenue lines
Behavioral measurement, agent accessibility scanning, and regulation intelligence map directly to the People, Infrastructure, and Regulation vectors.
Open assets
The open layer creates category authority and prevents the measurement layer from being captured by model vendors.
20+ year operator
Snap Synapse is the profitable consulting practice funding operations while PAICE moves from shipped portfolio to seed-backed company.
The seed round is for a mission-aligned former founder who understands infrastructure plays before the market has clean comparables. This is for investors who have built through category formation before the language was settled. PAICE is pre-revenue and pre-seed today, with products already shipped, public vocabulary already in market, and a second-generation productization pattern in Siteline, which grew out of a consulting audit that already worked.
What this is not
This is not a venture studio hoping one project breaks out. It is not grant-funded standards maintenance. It is not a conventional SaaS wedge optimized for growth-rate optics. PAICE is a Public Benefit Corporation building independent measurement infrastructure, with commercial products designed to keep the open layer funded.
What seed capital accelerates
Seed capital turns the shipped portfolio into a focused operating company: institutional sales for assessment, scanning, and regulation intelligence; regulated-industry pilots; university methodology validation; privacy-preserving calibration data; and enough operating capacity that the founder can sell and govern the category instead of only maintaining the build. Snap Synapse covers the operating bridge, so capital buys acceleration rather than survival.
Built, not pitched
Live products, open standards, and public infrastructure shipping today
Multi-model scoring — Claude, GPT, Gemini consensus cascade
Daily publishing cadence since day one — 150+ blog posts & videos
University methodology validation in progress
No direct competitor in behavioral reliability measurement
Regulated-industry moat — hardest to enter, stickiest once in
Founder
Sam Rogers — 25 years across learning ecosystems, media production, HR technology, and systems consulting. ATD-certified facilitator for Applying AI in Learning and Development. Founded PAICE.work PBC in 2025 after years of delivery work revealing the same gap: AI-assisted work is rarely measurable, teachable, or governable at the pace of work.
LinkedIn · Full bio
Back this mission
Seed capital here is not a standard SaaS VC route. PAICE is seeking mission-aligned capital from former founders who recognize that independent measurement, open infrastructure, and commercial discipline have to be built together. The target market is regulated industries where AI-assisted work is not optional — hard to enter, durable once entered, and structurally aligned with the need for independent posture measurement.
Read the full story on paice.work →
