Updated June 2026 · Verified against Protein Industries Canada (Global Innovation Cluster) guidelines
▲ Growing Mixed (Advance + Reimb.)
Grant Federal Active

Protein Industries Canada — Artificial Intelligence Program

Protein Industries Canada (Global Innovation Cluster)
Maximum Funding
Up to 45% of eligible project costs (part of $30M total pool)
Ongoing — continuous EOI intake; contact PIC before submitting
Visit Official Program →
Difficulty
Moderate
Payment
Mixed (Advance + Reimb.)
Trend
Growing
First-Timers
Co-Funding
45%
Protein Industries Canada — Artificial Intelligence Program provides Up to 45% of eligible project costs (part of $30M total pool). Funds the development and deployment of AI tools across the plant-based protein value chain — from seed genetics and on-farm optimization to ingredient formulation and food safety. The program covers up to 45% of eligible costs. Applications are accepted on an ongoing basis. Approval odds: ~15–30% (GrantCompass analysis)
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Program Description

Funds the development and deployment of AI tools across the plant-based protein value chain — from seed genetics and on-farm optimization to ingredient formulation and food safety. Total investment pool of $30M (with an additional $8M top-up in 2025). Requires a consortium of at least two members including one SME. Covers up to 45% of eligible project costs. EOIs accepted on a continuous basis.

Eligibility Requirements

  • A consortium of two or more organisations, at least one of which is a Protein Industries Canada member and at least one of which is an SME (499 or fewer employees per Statistics Canada's definition)
  • AI application must target the plant-based protein or agrifood value chain (seed genomics, supply chain, quality assurance, ingredient formulation, or food safety)
  • At least two consortium partners must be Canadian companies (or multinationals with a significant Canadian business operation); non-Canadian entities may participate with Protein Industries Canada's approval
  • Meaningful DEI participation from women, Indigenous Peoples, or underrepresented groups is expected (evaluative, not a strict eligibility bar)
  • Projects must align with Canada's Pan-Canadian Artificial Intelligence Strategy (PCAIS)
  • All projects must have at least one partner with demonstrable experience deploying AI technology
  • At least one consortium member (Project Stream) must represent a target customer or user of the technology solution
  • A 4% project administration fee applies to the total eligible reconciled project cost (waived for Community and Capacity Building Stream projects)
  • The project must be incremental — not already approved or in progress, and would not happen at the same scope or scale without PIC's co-investment
  • Financial contributions from a single member may be permissible for projects under $500,000 (otherwise at least two members must contribute financially)
  • Proposals must incorporate an aspect of economic reconciliation (approach may vary by project; PIC works with Indigenous governments/partners toward meaningful outcomes)
Provinces
Industries
Food Beverage Agriculture Technology Software Digital Supply Chain
Business Stage
Startup Growth Established

Quick Assessment

Difficulty
Moderate
Competition
Moderate
First-Timer
Not rated

Funding Details

Amount
Up to 45% of eligible project costs (part of $30M total pool)
Type
Grant
Level
Federal
Co-Funding
Up to 45% of eligible costs
Deadline
Ongoing — continuous EOI intake; contact PIC before submitting

Program Scorecard

Competition, effort, and approval at a glance

Competition
Moderate
Deadline
Ongoing
Approval
Competitive
Approval Rate
~15–30%
Accessibility
--/5
Competition
--/5
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How to Win

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Insider Tip

PIC's AI program is still building its portfolio — the program team has been actively facilitating industry introductions and is open to projects from AI companies entering the agrifood space for the first time.

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Success Profile

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Application Playbook

Step-by-step process, required documents, and expenses

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Application Steps

1 Email Protein Industries Canada with project overview Send an initial project summary to [email protected] describing your company, consortium members, the AI use case, and its relevance to the plant-based protein value chain. This is required before a formal submission.

Required Documents 13

Expression of Interest (EOI) — provided by PIC only after a mandatory introductory call (no downloadable form exists on the program page); each consortium member must also complete and sign a Declaration As To Authorization and Compliance; both are returned by email to [email protected]
Consortium composition and partnership agreement outline

Eligible Expenses 8

Ineligible Expenses 6

Deadline Notes

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Funding Stack Strategy

Compatible programs, clawback risk, and combined funding potential

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Compatible Programs

SR&ED Tax Credits NSERC Alliance Grants CDAP Digital Advisor Grants
Combined Funding Potential See your total funding potential

Clawback Risk

Low Risk

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How Protein Industries Canada — Artificial Int... Compares

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Frequently Asked Questions

Quick answers to the questions founders most often ask about Protein Industries Canada — Artificial Int...

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Can I apply as a single company?
No — requires a consortium of at least two members including one SME. Single-company applications are rejected outright. Must include a plant protein or agrifood partner.
What's the typical project cost covered?
Typical AI projects cost $500K–$5M total with PIC covering 45% ($225K–$2.25M) — though PIC states there is no set project maximum. Smaller proof-of-concept tools may be as low as $200K total cost ($90K from PIC).
Do I need to have existing data?
Yes — must have access to relevant training data (e.g., farm records, processing data, or quality control logs) for the AI model. Generic AI tools without domain data are rejected.
Can I stack with SR&ED or CDAP?
Yes — SR&ED covers R&D costs (e.g., model development), PIC covers deployment costs. CDAP covers digital adoption advisory costs separately for SMEs adopting AI tools.
Why do most applications fail?
Common failures: no plant protein value chain connection, single-company application, generic AI tool (not specific to agrifood), or missing DEI participation plan.

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