canvas-ai-builder-s-program

canvas-ai-builder-s-program

Canvas Labs is an applied AI lab that partners with organizations to build production-grade AI systems centered on a living "context graph" — a structured map of an organization's data, decisions, people, and the agents that act on it.

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Data reviewed Jul 18, 2026

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canvas-ai-builder-s-program

Canvas Labs is an applied AI lab that partners with organizations to design and build production AI systems anchored by a context graph — a living map of an organization's data, decisions, people, and agents. They focus on solving hard AI problems end-to-end with a production emphasis (tokenomics, adoption, and agent–human collaboration) and forward-deploying solutions alongside open-sourcing core components. The lab works with a small number of partners at a time and has shipped context graphs across research, healthcare, consumer, and sport.

2-week sprint to build production-ready AI agents from ideas.

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Key Features

Context Graph

A living, structured map of an organization's data, decisions, people, and agents that serves as the durable edge for AI systems.

Agent + Human Design

Design approach that places agents and people on one team, assigning each what they do best so AI works alongside humans rather than replacing them.

Tokenomics & Production Tuning

Focus on tuning token and compute costs so systems survive in production rather than just as demos.

Canvas Connectors

An integration layer described as one governed layer over 3,000+ tools that agents use to access an organization's systems.

Sketch

A company 'second brain' product running on the context graph and integrating across Slack, WhatsApp, and email (getsketch.ai).

Research-driven, Iterative Builds

Lab practice of building context graphs that improve with each deployment and incorporating learnings from prior products (including a retired Fine-Tuning Lab).

Pricing

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Use Cases

Market intelligence / due diligence

Redseer: consolidated private-company data into a graph and used an agent to draft full due-diligence reports, reducing turnaround to ~30 minutes.

Clinical decision support / patient digital twin

Sugarfit: fused CGM, lab reports, consults and logs into a per-patient profile used by meal logging, a Doctor's Co-Pilot, and a glucose-prediction model; shipped to production and transitioned.

High-volume consumer assistant

Habuild: member-facing WhatsApp assistant running on per-member context graphs, handling over a million queries per month.

Sports coaching with computer vision

Arco: a phone-based coach that watches drills, tracks the ball with multiple models, and grades moves against a difficulty sheet (in build).

Integrations

Canvas Connectors

A governed integration layer the lab describes as covering 3,000+ tools which agents use to access organizational data and systems.

Slack

Sketch runs across Slack as a channel for the company's second brain.

WhatsApp

Sketch and deployed assistants (e.g., Habuild) run on WhatsApp for member-facing interactions.

Email

Sketch integrates with email as part of the multi-channel context-graph interface.

Benefits

Production-focused builds tuned for token and compute costs to ensure systems are sustainable beyond demos.
Durable organizational advantage from a proprietary context graph rather than relying solely on commoditized models.
Enterprise-ready integrations via a governed connector layer spanning thousands of tools.
Research-driven approach that iterates and improves with each deployment and shares core components as open source.

Limitations

Canvas Labs takes on only a few partners at a time (selective engagement model).
Some lab products are experimental or retired (page notes one retired product and two live products).

Frequently Asked Questions

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Getting Started

  1. 1 Book a discovery call via the website to present your mandate or AI problem.
  2. 2 Collaborate with Canvas Labs as a partner to scope and design an end-to-end solution focused on context graphs and agents.
  3. 3 Build, harden for production (tokenomics and adoption), and transition the deployed system to your team.

Support

Book a call

Discovery call booking available via the website ('Book a discovery call').

Research notes

Published research and notes are available on the site for deeper technical context.

API

Available: No

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