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Scale AI — Canadian SMEs

Scale AI funds collaborative value-chain AI across Canadian consortia — and we can be the named AI partner.

Scale AI is the Pan-Canadian AI Global Innovation Cluster, funded by ISED. It reimburses up to 40% of eligible AI-development costs on industrial-AI projects delivered through 3–4 partner consortia. On May 13, 2026 the federal government announced support for 44 Canadian companies via Scale AI — on top of the December 2025 $128.5M round to another 44 projects. The program is moving quickly and Creatrixe can join your consortium as the named AI service provider.

40% reimbursement on eligible AI-development cost
3–4 partners per consortium, ≥1 SME
$1M+ typical project value
$226M committed in the last 6 months
Fresh — May 13, 2026

Federal government announces Scale AI support for 44 Canadian companies

The May 2026 announcement extended Scale AI support to another 44 Canadian companies, six months after the December 2025 round committed $128.5M to a different 44 projects. If your consortium has been holding off on Scale AI, this is the signal that the program has both budget and political tailwind through 2026.

What Scale AI is — the cluster, not a grant portal

Scale AI is one of Canada's Global Innovation Clusters — federally funded structures created by ISED (Innovation, Science and Economic Development Canada) to concentrate capital, talent, and supply chains around specific industrial themes. Scale AI's theme is industrial AI: applying AI to improve productivity, supply chains, and value chains across Canadian industries.

It is not a single grant program. It is a cluster that runs themed funding rounds, supports a partner ecosystem (universities, corporates, SMEs, AI service providers), and reimburses eligible AI-development costs at up to 40% for projects that fit the value-chain framing. The reimbursement is the part most SMEs focus on, but the cluster membership and partner network matter equally — Scale AI's value to a Canadian SME is partly the money and partly the supply-chain visibility you get inside the cluster.

The program is run from Montreal, with a national mandate. Its core mechanic — 3–4 partner consortia improving a value chain — is the structural difference from every other federal AI program in Canada. NRC IRAP is single-applicant R&D. BDC LIFT is single-applicant adoption. Scale AI is intentionally collaborative.

Source: Scale AI program site. Funded by ISED through the Global Innovation Clusters initiative. May 2026 announcement: 44 Canadian companies supported. December 2025 round: $128.5M to 44 projects.

Who qualifies — the consortium is the unit

Scale AI's eligibility model is different from any single-applicant program. The thing being evaluated is the consortium, not any one company. The hard gates apply to the consortium and to specific roles inside it.

Project gate — value-chain framing

$1M+ project value, value-chain improvement

Single-vendor AI deployment doesn't qualify.
  • Total project value typically $1M or higher
  • Must improve a value chain across multiple partners
  • Industrial AI scope — supply chain, manufacturing, logistics, food, agriculture, healthcare ops
  • Measurable outcomes — productivity, throughput, quality, traceability
  • 40% reimbursement on eligible AI-development costs
Who doesn't qualify: single-applicant SMEs without partners (look at BDC LIFT for that), projects under $1M total value, projects that don't credibly span a value chain (a single SME automating its own internal workflow is not a value-chain improvement), and consortia where all partners are doing the same thing rather than playing complementary roles.

The funding shape — 40%, in plain terms

40%
reimbursement on eligible AI-development costs across the consortium

Scale AI's contribution structure reimburses up to 40% of eligible AI-development costs — typically technical labour, subcontractor invoices for AI implementation, model spend, integration work, and project management tied to the AI scope. The remaining 60%+ is the consortium's own contribution, which can be cash, in-kind staff time, or a blend.

For a $1M project, that means roughly $400K reimbursed and $600K covered by the consortium. The 40% figure is a ceiling, not a guarantee — the exact percentage depends on the project type, the eligible cost mix, and the specifics of the funding round. The funding agreement signed at the start of the project locks the number.

The contribution is paid against milestones. As eligible costs are incurred and documented, the consortium submits claims and gets reimbursed. Most projects run 12–24 months across 4–6 milestones, with claims flowing on each one. Cash management matters because the consortium funds the work and gets reimbursed after — you are not pre-funded.

Scale AI vs. BDC LIFT — when each is right

The most common question SMEs ask about Scale AI is whether it fits their situation versus BDC LIFT. The short answer: if you have a consortium, Scale AI; if you're a single SME, LIFT. The longer answer is below.

Dimension Scale AI BDC LIFT
Unit of application Consortium (3–4 partners) Single SME
Instrument Reimbursement (up to 40%) Loan (2.25% preferential rate available)
Project value $1M+ typical $25K–$5M (loan size)
Project scope Value-chain improvement across partners AI adoption inside one SME's operation
Revenue floor Lead applicant typically $2M+; SME ≥1 in consortium $1M (Track A) / $5M (Track B)
Intake Themed rounds Continuous
Repayment Non-repayable on standard terms Loan repaid over term
Best when You can name 2–3 credible partners You are deploying inside your own ops

The honest read: most Canadian SMEs we talk to are single-applicants thinking about their own operations, which puts BDC LIFT in scope rather than Scale AI. The SMEs that fit Scale AI tend to be already embedded in a supplier/customer network where the AI use case is genuinely cross-organisation — a food brand and its co-packers, a logistics operator and its consignors, a manufacturer and its tier-2 suppliers. If that's not your shape, LIFT is structurally better. If it is, Scale AI is one of the largest reimbursement envelopes available in Canada.

How Creatrixe fits — named AI service provider in your consortium

Scale AI explicitly recognizes AI service providers and strategic consultants as valid consortium participants. That's the role we play. We are not the lead applicant on a Scale AI consortium and we don't broker the cross-partner relationships — those come from your existing supplier and customer network. What we contribute is the technical implementation work the consortium needs, with the documentation pattern Scale AI's evaluators expect.

Consortium formation

You assemble the consortium — typically by starting from a real value-chain problem and identifying which partners (customer, supplier, technology provider, research partner) are needed to address it. We can join early as the AI service provider and help articulate what's technically feasible at what budget, but we don't manufacture consortia. The partners have to be real.

Timeline: 4–10 weeks · Creatrixe role: technical scoping input

Proposal development

The consortium writes a proposal articulating the value-chain problem, the AI solution, the partner roles, the budget, and the measurable outcomes. We contribute the AI architecture, the implementation plan, the realistic timeline, and a defensible budget for the technical work — including our subcontractor invoice as an eligible cost in the budget table.

Timeline: 4–8 weeks · Creatrixe role: technical sections + budget

Submission and evaluation

Proposals are submitted through Scale AI's intake. Evaluation looks at technical merit, consortium credibility, value-chain logic, and budget defensibility. Expect 8–16 weeks from submission to a decision. We support questions from the evaluation team on the AI architecture and implementation feasibility — the consortium lead carries the overall response.

Timeline: 8–16 weeks · Creatrixe role: technical Q&A support

Funding agreement and project kickoff

If the proposal is approved, Scale AI issues a funding agreement that codifies the eligible costs, milestones, reimbursement schedule, and reporting cadence. The consortium signs collectively; each partner has its own deliverable and budget line. We sign a project SOW with the lead applicant (or directly with the SME we'll be working with most) that mirrors the funding agreement.

Timeline: 4–8 weeks · Creatrixe role: SOW co-author

Build, claim, iterate

We deliver the AI work — model integration, data pipeline construction, agent/workflow design, deployment into the consortium partners' systems, measurement. The consortium submits claims against milestones; Scale AI reimburses at 40%. We supply the technical reporting that supports each claim. Projects typically run 12–24 months. We instrument outcomes from the start so the value-chain improvement is measurable rather than asserted.

Timeline: 12–24 months · Creatrixe role: delivery + reporting

The credibility we bring to a Scale AI consortium is the production AI work we've shipped over the last few years across food service, content syndication, and domain-specific assistants. None of these are Scale AI projects (we'd say so if they were), but they are the engineering pattern Scale AI evaluators recognise — production systems integrated with the partner's existing stack, measurable outcomes, and the team's ability to ship on milestones.

Eligible project types — what gets funded

Scale AI's framing is industrial AI, but the recent rounds show broader sector coverage than that label suggests. Patterns we've seen across the December 2025 and May 2026 announcements:

Supply chain

Demand forecasting + inventory AI

Multi-partner consortia connecting a brand, distributor, and logistics operator. AI forecasting reduces stockouts and waste across the chain.

Manufacturing

Vision systems + process intelligence

Manufacturer + tier-1 supplier + AI service provider. Computer-vision quality control with feedback loops into upstream processes.

Food & agriculture

Traceability + yield modelling

Producer + co-packer + retailer consortia. AI for ingredient traceability, demand-aligned production, agricultural yield prediction.

Logistics

Route optimisation + freight matching

Carrier + shipper + technology partner. AI optimisation across the freight matching and routing surface for productivity gains.

Healthcare ops

Operational AI in clinical settings

Health-system + clinic network + AI provider. Operational AI (intake, triage, follow-up) rather than diagnostic AI, which has different regulatory shape.

Professional services

Cross-firm workflow AI

Service firm + tooling partner + customer network. AI workflows that span the value chain between provider and customer rather than living in one firm.

The gate is value-chain logic, not sector. Service-sector and digital-only consortia have been funded when the cross-partner improvement is credible. The selection criteria reward concrete, measurable outcomes — productivity, throughput, quality, cost, traceability — not novelty for its own sake.

Recent rounds — what Scale AI is actually committing

Recent commitments

Roughly $226M committed across more than 80 projects in six months

Two consecutive announcements show the program has both budget and political momentum through 2026. Both rounds spread across sectors and provinces — Scale AI is not concentrating in one city or one industry.

May 13, 2026
44 Canadian companies
Federal government announced Scale AI support for 44 companies across multiple sectors and provinces.
December 2025
$128.5M to 44 projects
Funding committed across consortia spanning manufacturing, food systems, logistics, agriculture, and healthcare ops.

The pattern across both rounds: consortium proposals that articulate a clear value-chain problem with measurable outcomes get funded; consortium proposals that are essentially three companies stapled together around a vendor's product do not. The evaluators are reading for partner complementarity and real cross-organisation work.

40%reimbursement ceiling on eligible AI-development costs
3–4typical partners per consortium
$226Mcommitted in last 6 months across 80+ projects

Common questions about Scale AI

Is my SME eligible for Scale AI funding?

Scale AI funds collaborative consortia of typically 3–4 partners, at least one of which must be an SME (under 500 FTEs). The lead applicant usually has $2M+ in annual revenue, and the project value is typically $1M or more. Eligibility is less about your company alone and more about whether your project improves a value chain across multiple Canadian partners. If you can name 2–3 credible partners and articulate a value-chain outcome, you are in scope to apply. If you can't, look at BDC LIFT (single-applicant) or NRC IRAP (R&D-focused) instead.

What does Scale AI actually fund?

Scale AI reimburses up to 40% of eligible AI-development costs on industrial AI projects that improve a Canadian value chain — supply-chain optimization, demand forecasting, computer-vision quality control, food-system traceability, manufacturing process intelligence, agricultural yield modelling, healthcare operations, freight routing. The project has to be collaborative; pure single-applicant SME projects are routed to LIFT or IRAP. Scale AI is intentionally about cross-organisation AI, not internal AI inside one company.

Can Creatrixe be a named partner in our Scale AI consortium?

Yes. Scale AI explicitly recognizes AI service providers and strategic consultants as valid consortium participants. Creatrixe is Canadian-incorporated, headquartered in Burnaby, BC, and has shipped production AI for SMEs across food service, professional services, and trades. We can join your consortium as the named AI service provider, contributing the technical implementation work the consortium needs, with the documentation pattern Scale AI's evaluators expect to see in the technical sections of the proposal.

How is Scale AI different from BDC LIFT?

Scale AI is a reimbursement program for collaborative consortia improving value chains, typically $1M+ projects. BDC LIFT is a single-applicant SME loan program for AI adoption, $25K–$5M. If your project involves 3–4 Canadian partners working together on a value-chain problem, Scale AI is structurally the right fit. If you're a single SME deploying AI inside your own operation, LIFT is the better instrument — and the 2.25% preferential rate when you pick a Canadian integrator makes the math work.

What's the Scale AI application process and timeline?

Scale AI runs themed rounds rather than continuous intake. You assemble a consortium (4–10 weeks), develop a project proposal (4–8 weeks), submit through Scale AI's portal, and go through evaluation (8–16 weeks). Plan for 3–6 months from consortium formation to a funding decision, with another 1–3 months before disbursement begins on the first milestone. Project execution is usually 12–24 months. This is not a fast program — consortium-led applications never are — but the dollar amounts justify the effort.

What do recent Scale AI rounds tell us about what gets funded?

The December 2025 round committed $128.5M to 44 projects. The May 13, 2026 federal announcement extended support to another 44 Canadian companies. Combined, Scale AI has committed roughly $226M in six months across more than 80 projects. The pattern shows broad sector coverage — manufacturing, agriculture, food systems, logistics, healthcare operations — with consistent emphasis on multi-partner value-chain improvement rather than single-vendor adoption. Consortia where partners play complementary (not duplicate) roles get funded.

Is Scale AI funding repayable?

Scale AI's contribution structure is non-repayable for most participants under standard terms — you spend on eligible costs, you submit claims, you get reimbursed at up to 40%. The remaining 60%+ is the consortium's own contribution (cash or in-kind). Specific terms can vary by round and project type; the agreement signed at the start of each project codifies the exact structure. There is no equity dilution, no interest, and no clawback for commercial success on standard terms.

What if our consortium doesn't have a manufacturing focus?

Scale AI's framing is industrial AI — but the recent rounds have funded projects across food service, healthcare operations, retail logistics, agricultural value chains, and professional services where the value-chain improvement is credible. The gate isn't the sector, it's whether the project connects multiple partners across a value chain in a way that AI can measurably improve. Service-sector and digital-only consortia have been funded under that frame; the question is whether the cross-partner story holds up.

The honest pre-call read

Before you book a consortium call with us, here's what we'll tell you so you can decide whether the call is worth your time.

  • If you don't have 2–3 real Canadian partners already in mind, Scale AI is the wrong instrument. BDC LIFT for single-applicant adoption or NRC IRAP for R&D fits better.
  • If your project is under $1M total value, it's below the Scale AI floor. The 40% reimbursement is more valuable when the absolute dollar amount is meaningful, and the proposal effort doesn't scale down well.
  • If your consortium is "us plus two suppliers we want to sell more to," that won't read as a credible value chain to evaluators. Real complementary partner roles matter.
  • If you have a genuine value-chain problem — multiple Canadian partners, measurable cross-organisation outcomes, an AI scope that requires coordination — Scale AI is one of the largest reimbursement envelopes available right now. The May 2026 federal announcement and the December 2025 round signal the program is in active deployment mode.
  • We slot in as the named AI service provider. We don't manufacture the consortium and we don't lead the application — but the technical proposal sections, the AI architecture, the budget defensibility, and the delivery model are work we do every day.

For more on how we think about AI work generally, the human-assisted vs. AI-assisted workflows post is the best primer. If you're earlier in the funding conversation and not sure which instrument fits, the BDC LIFT and NRC IRAP pages cover the single-applicant alternatives.

Bring us in before you submit the Scale AI proposal.

20-minute call. We'll tell you whether the consortium shape and project scope clear Scale AI's bar, what the technical sections of the proposal need to look like, and — if Scale AI isn't the right instrument — we'll point you at LIFT or IRAP instead.