Medizin Online
Healthcare education platform
The assessment routed most bottlenecks to software, with AI only where it earned a place. Today the platform is onboarding thousands of doctors across Switzerland and Germany automatically.
Choosing an AI consultant in Vancouver comes down to how you pay: Big Four firms at $400–$800/hr, MBB firms at $500–$1,000+/hr, boutiques at $150–$300/hr, independents at $150–$350/hr, or a fixed fee. AIDOLS serves Vancouver remotely from Toronto on fixed fees: first measurable result in 2–3 weeks, production in 90 days, and the Build fee ($75K–$150K) refunded in full if ROI does not exceed it within 90 days.
AIDOLS works with Vancouver's tech, life sciences, cleantech, and logistics buyers, and automates SR&ED claim prep where the work qualifies.
Pricing and rates last reviewed
Vancouver is Canada's third-largest tech metro — roughly 150,000 tech workers, about 10% of city employment. The cleantech base is anchored by Ballard Power Systems, Carbon Engineering (Squamish), and Nexii. Life sciences runs through STEMCELL Technologies (Canada's largest biotech employer), AbCellera, and Notch Therapeutics.
The Port of Vancouver is Canada's largest port and the Pacific gateway for North American trade — every supply-chain vendor in BC eventually has to deal with its data flows. "Hollywood North" adds VFX and film tech (EA Vancouver, ILM, Sony Imageworks, DNEG, MPC).
We deliver MLOps Intelligence for tech and life sciences, supply-chain AI for the port and logistics buyers, and PIPEDA-aware deployment for everyone — BC PIPA tracks closely to PIPEDA for the same operational discipline.
Typical rates and fees by type of provider, in US dollars.
| Option | Typical rate or fee (USD) | Approx. in CAD | How it is priced | Usually a fit for |
|---|---|---|---|---|
| Big Four | $400–$800/hr | CAD $570–$1,140/hr | Time and materials, by statement of work | Multi-country programs that bundle audit, tax and technology work |
| MBB (McKinsey, BCG, Bain) | $500–$1,000+/hr | CAD $710–$1,420+/hr | Time and materials, by team and week | Board-level strategy questions |
| Boutique firm | $150–$300/hr | CAD $215–$425/hr | Hourly or fixed scope | One specific capability, such as data engineering or automation |
| Independent consultant | $150–$350/hr | CAD $215–$500/hr | Hourly | A narrow task, with your own engineers doing the build |
| AIDOLS | Sprint $15K–$25K (2–3 weeks); Build $75K–$150K (90 days); Scale $25K/month | Sprint about CAD $21K–$36K; Build about CAD $107K–$213K; Scale about CAD $36K/month | Fixed fee, agreed before work starts | Operations teams that want one workflow measured in 2–3 weeks and in production within 90 days |
Hourly bands are AIDOLS Research Team estimates of typical 2026 list rates, not survey results; quotes vary with seniority and scope. How the rates were estimated
Canadian-dollar figures are approximate, converted at 1.4222 CAD per USD (Bank of Canada daily average, October 13, 2026).
For a Build, if the deployed system does not generate ROI exceeding its fee within 90 days, the fee is refunded in full. Scale tier: prorated refund. Sprint tier excluded (assessment, not deployment). See the pricing page
Industry-specific AI consulting and autonomous systems tailored to Vancouver's core economic sectors.
Production MLOps for Vancouver's tech base, from scale-ups to applied-ML startups. We integrate with existing stacks rather than replacing them, and report the first measurable result in 2–3 weeks.
Learn about MLOps Intelligence →Applied ML for BC biotech and antibody-discovery operations, in a market that includes STEMCELL Technologies and AbCellera. PIPEDA + sector compliance, full lineage, audit-ready documentation. We deploy, not advise.
Learn about MLOps Intelligence →Supply-chain AI for Port of Vancouver-adjacent operators, BC distribution networks, and trade logistics buyers. Demand forecasting, route optimization, and inventory intelligence built for cross-border flows.
Learn about AIDOLS products →Applied AI for Vancouver cleantech companies, in a cluster that includes Ballard and Carbon Engineering plus the broader hydrogen, materials, and waste/recycling base. Forecasting, telemetry intelligence, and ops automation that ships fast.
Learn about MLOps Intelligence →Drill into Vancouver AI consulting for your specific vertical — pricing, top firms, compliance, and use cases tailored to each industry.
The verdict is not always AI.
Healthcare education platform
The assessment routed most bottlenecks to software, with AI only where it earned a place. Today the platform is onboarding thousands of doctors across Switzerland and Germany automatically.
Ontario courier
The assessment said don't buy AI first: build the missing Shopify sales channel. The channel shipped, and AI agents were sequenced second.
We map one workflow for free and, within three business days, return a one-page map with a written verdict: software, process change, or AI. No obligation.
Get a free workflow map →AI agents map how the work actually flows, we pick the highest-ROI workflow, and you see the first measurable result.
The system runs in production, integrated with your existing tools, against a 40%+ efficiency target, measured at day 90.
Optional Scale tier ($25K/month): we monitor, retrain and improve the system in production.
Yes. Tech, SaaS, and life sciences are core focus markets in Vancouver. We deploy MLOps Intelligence for production ML and applied AI workloads, integrate with existing stacks, and ship first measurable result in 2–3 weeks.
All Canadian client data stays in Canadian regions by default. We architect under PIPEDA (the operative federal privacy law) and BC PIPA where applicable. Canada has no general AI statute today — AIDA died with prorogation in January 2025 — so PIPEDA plus sector rules are the working framework.
Sometimes, where the work qualifies as experimental development; routine deployment work usually does not. Budget 2025 raised the enhanced 35% refundable ITC cap from CAD $3M to $6M, restored capital expenditures, and extended eligibility to certain Canadian public corporations. GrantOps automates the claim prep.
Tech and SaaS, life sciences and biotech, cleantech and sustainability, and Pacific gateway supply chain and logistics. We work with applied-ML buyers who need to ship production systems.
Kickoff in 5–10 business days from signed scope. First measurable efficiency gains in 2–3 weeks. Full deployment inside 90 days. For a Build, if the deployed system does not generate ROI exceeding its fee within 90 days, the fee is refunded in full.
Fixed fees agreed before work starts, deployed systems, and a contractual guarantee on the Build: if the deployed system does not generate ROI exceeding its fee within 90 days, the Build fee is refunded in full. Big Four engagements run 6-month discoveries; we deliver a first measurable result in 2–3 weeks and a production system within 90 days.
For a Build, if the deployed system does not generate ROI exceeding its fee within 90 days, the fee is refunded in full.
No commitment required. 15-minute call. Concrete recommendations you can act on immediately.
Book a 15-minute call