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AI systems need a way to understand the real world.

We build public knowledge infrastructure that keeps that understanding connected to the people, communities, and institutions it comes from.

People. Places. Organizations. Events. Works.

Built in the open. Governed at source. Operating today across Canada.

What’s actually happening right now

AI systems are already building their own picture of the world.

They connect people, places, organizations, events, and works using information from different sources.

When that information is fragmented, outdated, or only available through private platforms, AI systems build an incomplete or distorted picture.

That affects what gets found, connected, recommended, and trusted.

Why this matters

Every AI system needs a way to know when different pieces of information refer to the same real-world thing.

This is the reference layer being built now.

Most of it is being built privately, inside platforms that decide what gets connected, what gets surfaced, and what counts as relevant.

The public alternative has to be built deliberately: open, participatory, and governed at source.

That’s what we do.

How we work

We help organizations publish and maintain knowledge in a form machines can read and systems can trust.

Structure. Machine-readable knowledge published at source.

Connect. People, places, organizations, events, and works linked through open standards.

Govern. Knowledge remains yours to update, correct, and maintain.

Proven in Canada’s cultural sector. Built to connect public knowledge across domains.

How organizations participate

FOOTLIGHT CMS

Publish knowledge where it begins.

Footlight CMS helps organizations publish structured, machine-readable knowledge directly from the source.

As you publish, your people, places, organizations, events, and works become structured and connected.

That knowledge enters a shared public reference layer that AI systems can understand and other systems can build on.

No platform dependency. No duplication. No rebuilding the same map over and over.

Public knowledge infrastructure

Open knowledge graphs for machine-readable reality.

Most organizations store knowledge in isolated systems that decay over time and cannot easily connect across domains.

We build open knowledge graph infrastructure that keeps public knowledge connected, governable, and reusable across systems.

The result is shared infrastructure that becomes more valuable as participation grows.

Consulting

Find the layer that matters.

Most organizations know their information is spread across too many systems, files, websites, and platforms. Fewer know what to fix first.

We help organizations, governments, and public institutions identify where knowledge breaks across systems, and design a path toward infrastructure that remains usable, governable, and connected over time.

Team

We’ve spent a decade building public knowledge infrastructure in one of the most complex, multilingual, multi-jurisdictional sectors in Canada.

Our team brings together linked data, software, governance, design, cultural infrastructure, and public-interest implementation.

Abhishek P. Anil
Dev
Caitlin Troughton
COO
Dev Aravind
Dev
Gregory Saumier-Finch
CTO
Kim Davis
Special projects
Sabrina Mirza
Finance
Stéphanie Giroux
UI/UX
Suhail Aliyar
Dev
Tammy Lee
CEO
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