About the Semantic Infrastructure Foundation

The Problem We’re Solving

AI systems today are epistemically brittle. They generate plausible outputs without grounding in verifiable reality. When they fail, no one can explain why. When they succeed, we can’t reproduce the result.

This isn’t a compute problem or a scale problem. It’s an infrastructure problem.

We’re building the systems that aren’t black boxes—we’re missing the semantic substrate that would let AI systems:

  • Represent knowledge with verifiable provenance
  • Compose across domains without hallucination
  • Show their reasoning in auditable chains
  • Ground outputs in reproducible computation

Without this foundation, we’re building increasingly powerful systems on increasingly unstable ground.

What SIF Does

The Semantic Infrastructure Foundation develops open semantic infrastructure for trustworthy AI:

Semantic Memory

Systems for provenance tracking and verification. Every result carries cryptographic proof of its computational history. You can ask “where did this come from?” and get a complete audit trail.

Universal Semantic Intermediate Representation (USIR)

A common language for cross-domain knowledge. CAD models, scientific simulations, legal reasoning—all expressible in a shared semantic framework that preserves meaning and enables composition.

Deterministic Computation

Engines that eliminate hidden state. Same inputs → same outputs, every time. Reproducible, verifiable, debuggable.

Progressive Disclosure Tools

Human-AI interfaces that scale from structure to detail. Show me the outline, then the specifics I need—don’t drown me in tokens or hide everything behind a black box.

Open Standards

No single entity controls the semantic layer. We build in the open, publish our work, and advocate for adoption across the ecosystem.

SIF & SIL: The Relationship

The Semantic Infrastructure Foundation (SIF) is the 501(c)(3) public charity being formed to govern and fund the work. The Semantic Infrastructure Lab (SIL) is the research and development arm that produces the actual systems.

graph TB
    SIF["Semantic Infrastructure Foundation<br/>(SIF)<br/><br/>501(c)(3) Public Charity"]
    SIL["Semantic Infrastructure Lab<br/>(SIL)<br/><br/>Research & Development Arm"]

    CHIEF["Chief Steward<br/>Mission Guardian<br/>(Unpaid)"]
    ED["Executive Director<br/>Operations Lead<br/>(Paid)"]
    SA["Chief Architect<br/>Scott Senkeresty<br/>(Technical Leader)"]

    FUND["Funding Sources"]
    PHIL["Philanthropic Grants"]
    CORP["Corporate Members"]
    IND["Individual Donors"]
    GOV["Government Contracts"]

    SIF -->|Governs| SIL
    SIF -->|Funds| SIL
    SIL -->|Research Output| SIF

    CHIEF -->|Governance| SIF
    ED -->|Operations| SIF
    SA -->|Technical Direction| SIL

    FUND --> PHIL
    FUND --> CORP
    FUND --> IND
    FUND --> GOV
    FUND -->|Resources| SIF

    style SIF fill:#e3f2fd,stroke:#1565c0,stroke-width:3px
    style SIL fill:#e8f5e9,stroke:#2e7d32,stroke-width:3px
    style FUND fill:#fff3e0,stroke:#e65100

Key distinction: SIF provides governance, funding, and strategic direction. SIL builds the systems and produces the research. Both serve the same mission of making semantic infrastructure a public good.

Long-Term Infrastructure Work

SIF focuses on foundational semantic infrastructure—work that requires patient capital, long-term thinking, and resistance to quarterly pressure.

This kind of work has precedent:

Institutions that protected researchers from short-term incentives produced Unix, C, information theory, and the transistor. Foundational work that took decades to mature but enabled entire industries.

What we learned from that pattern:

  • Infrastructure takes time to mature (years, not quarters)
  • Patient capital enables ambitious research
  • Open standards create more value than proprietary lock-in
  • Mission-driven institutions outlast trend-chasing startups

We follow this approach because it’s the only model that works for civilizational infrastructure. Not because we claim to match historical successes, but because the work demands it.

The results will show whether we’re doing it right.

Current Status: Honest Assessment

What exists today:

  • Scott Senkeresty (founder, Chief Architect) — solo researcher with decade-long commitment
  • 4 working systems proving the vision: 1 in production with external adoption (Reveal: 11K downloads), 3 production-grade research systems (Morphogen, TiaCAD, GenesisGraph)
  • Extensive strategic documentation (governance, funding strategy, technical architecture)
  • Clear roadmap toward Semantic OS and Agent Ether
  • Fiscal sponsorship via Open Collective Foundation (see below)

What doesn’t exist yet:

  • Independent 501(c)(3) status (application in progress, expected approval Q2 2026)
  • Team beyond founder (no engineers, advisors identified but not committed)
  • Lab space or operational foundation

Why publish now?

Because the work matters and transparency matters more. We’re building systems that work, documenting architecture in public, and inviting collaboration from those who believe this problem is worth solving.

The vision is ambitious. The current reality is small. But the trajectory is clear, and the need is urgent.

Fiscal Sponsorship & 501(c)(3) Status

Current Structure (January 2026):

The Semantic Infrastructure Foundation has applied for fiscal sponsorship through Open Collective Foundation and filed our 501(c)(3) application with the IRS. This dual-track approach enables us to accept tax-deductible donations by February 2026 while our independent nonprofit status is under review.

Why OCF?

OCF provides temporary fiscal administration without controlling our technical direction, governance, or mission. This is standard practice for early-stage public infrastructure projects. Once our 501(c)(3) is approved (expected April-July 2026), we transition to full nonprofit independence with all funds transferred cleanly.

What This Means:

  • ✅ OCF approval expected February 2026 → donations accepted immediately
  • ✅ All transactions publicly visible (transparent ledger)
  • ✅ Full anti-capture protections apply (no single funder >10%)
  • ✅ Clean transition when 501(c)(3) approved (Q3 2026)

How to Support:

Once our OCF collective goes live (February 2026), you can donate at: opencollective.com/semantic-infrastructure-foundation

Tax-deductible, transparent, secure.

Timeline:

  • ✅ Jan 2026: 501(c)(3) application submitted + OCF application submitted
  • Feb 2026: OCF approval → Genesis Tier launches
  • Q2 2026: IRS determination (April-July)
  • Q3 2026: Transition to independent nonprofit

This dual-track approach lets us move immediately without waiting for bureaucracy.

Who Is Scott Senkeresty?

Founder & Board Chair

Scott Senkeresty is a systems architect and infrastructure builder with over 40 years of experience making complex systems inspectable, accessible, and safe. He founded the Semantic Infrastructure Foundation to ensure that semantic infrastructure—the substrate for reasoning, meaning, and provenance in intelligent systems—remains open, inspectable, and accessible as a public good.

Education & Background

Education: Bachelor’s and Master’s degrees in Computer Science, California Polytechnic State University, San Luis Obispo

Career: Four decades building infrastructure that empowers others—from distributed systems at Microsoft (1997-2010) to business intelligence consulting to founding SIL in 2025.

Professional Experience

Semantic Infrastructure Lab | Founder & Chief Architect (2025-Present)

Founded SIL to build open semantic infrastructure for distributed intelligence. Led development of production systems including Reveal (semantic code exploration, published to PyPI), Morphogen (multi-domain simulation engine), GenesisGraph (provenance infrastructure), and TIA (transparent intelligent agent system with 14,549 files indexed, 1,900+ sessions).

Built working infrastructure demonstrating that explicit semantics, inspectable reasoning, and deterministic collaboration are practical necessities for reliable intelligent systems.

Consulting & Startup Endeavors (2010-2025)

Founded and operated consulting practice and startup initiatives, including Tiny Lizard (business intelligence consulting firm). Advised dozens of organizations on data transformation, actionable analytics, and decision support systems.

Developed “Crushing The Nouns” methodology—transforming static information into actionable decisions. Published 50+ educational articles on business intelligence, data modeling, and system design.

Microsoft Corporation | Software Development Engineer (1997-2010)

Worked across distributed systems infrastructure, security, and platform engineering for 13 years:

  • Peer-to-Peer Infrastructure Team (2001-2008): Developed APIs for PNRP (Peer Name Resolution Protocol)—serverless distributed name resolution with cryptographic identity. This work predated Bitcoin; team built distributed cryptographic identity infrastructure (2001-2003) before blockchain era.

  • Anti-Malware/Security Teams: Designed and built malware analysis tools enabling researchers to inspect dangerous code without execution. Created safe inspection frameworks for complex threat environments.

  • Office Division (1997-2000): Built testing and validation tools for Office installation and setup systems.

Early Achievement

Published Author (Age 13): “Colorful Sprites,” Compute’s Gazette (December 1984)—technical article explaining multi-color sprite techniques for Commodore 64, demonstrating early commitment to making complex concepts accessible.

Philosophy

Infrastructure as Public Good: Believes fundamental infrastructure—like semantic substrate for intelligent systems—should be open, inspectable, and accessible rather than proprietary black boxes controlled by a few entities.

Safety Through Transparency: Demonstrated across 40+ years that complex or dangerous systems become safe when structure is visible and inspectable. Applied this principle from malware analysis tools to semantic infrastructure.

Empowerment Over Heroism: Builds tools and infrastructure that make others capable rather than creating dependency. Consistent pattern from Microsoft API wrappers to business intelligence consulting to semantic infrastructure.

Evidence Over Vision: Ships working systems and measured results before making claims. SIL has production tools (Reveal on PyPI, Morphogen with 900+ tests) demonstrating viability of approach.

The Vision: 10-Year Horizon

Year 1-2: Establish foundation, secure initial funding, form core team Year 3-5: Deploy semantic infrastructure in research institutions, build ecosystem Year 5-10: Semantic OS becomes standard layer, Timeline B momentum builds

Success metrics:

  • Major AI labs adopt USIR as common IR layer
  • Regulators mandate provenance for high-stakes decisions
  • Scientific replication rates improve 20%+
  • Multi-agent systems run critical infrastructure reliably

Honest probability:

  • 20% chance: Transform the ecosystem (widespread adoption, industry standards)
  • 65% chance: Meaningful impact (advance the state of art, influence standards)
  • 15% chance: Fail to achieve critical mass

We think those odds justify the effort.

Governance & Funding

Governance model: Three-role structure (Chief Architect, Chief Steward, Executive Director) balancing mission focus with operational pragmatism. Draws on patterns from Wikimedia, Mozilla, and Linux Foundation. See our foundation governance for details.

Funding strategy: Hybrid model avoiding capture. Max 10% from any single source. Revenue from grants, enterprise support contracts, and philanthropic funding.

Anti-capture protections: Technical decisions made by research leads, not funders. Source code published under permissive licenses. Standards development in the open.

See our funding strategy documentation for details.

Why Now?

The window for foundational work is closing. As AI capabilities surge, the brittleness compounds. The earlier we build semantic infrastructure, the less painful the transition.

In 5 years, either:

  • We’ve built the substrate and AI systems are becoming more trustworthy, or
  • We’re drowning in hallucinations, accepting opaque governance, and living in the Grey Fog

SIF exists to make Timeline B possible.

Get Involved

We’re early-stage, but we’re building in the open.

  • Use our tools: Try Reveal, explore the production systems
  • Follow our work: Visit our research page for technical details
  • Support the mission: When funding mechanisms are ready, we’ll share options
  • Collaborate: Researchers, engineers, advisors welcome → Contact us

This is the beginning. The work is long, the need is urgent, and transparency is non-negotiable.

Let’s build Timeline B together.