Company lists · Data refreshed September 2026
Top 18 Machine learning pharma companies based in Canada
RevenueBase identified 39 machine learning pharma companies headquartered in Canada as of September 2026 and tracks 432 professional contacts across them, including 204 with verified work emails and 65 with mobile numbers. Toronto is the largest hub.
This list covers machine learning pharma companies headquartered in Canada, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, how directly it supports the match, and when it was last checked. Data refreshed September 5, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase SmartSearch, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 18 largest machine learning pharma companies based in Canada
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 105 | ||||
“Deep Genomics collaborates across disciplines to solve hard molecular design and target biology problems historically requiring slow, empirical iteration.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 52 | ||||
“DrugBank is your trusted companion in drug discovery and development.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 50 | ||||
Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 36 | ||||
“Fiddlehead works with machine learning to find elegant solutions to some of the fast-moving consumer goods (FMCG) industry’s most complex problems.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 21 | ||||
“Our mission is to fast-track therapeutics development with improved properties and performance.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 19 | ||||
“NetraMark combines proprietary QML/ML algorithms with cross-domain expertise to bring ML commercialization into reality, starting with the pharmaceutical space in drug development…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 17 | ||||
“GenAIz unlocks the value of life sciences enterprise data, connecting systems with AI-powered intelligent solutions so teams can act with clarity, confidence, and speed.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 9 | ||||
“Kapoose Creek Bio is a Canadian biotech company using AI technologies to uncover small molecule medicines from nature with unprecedented speed and scale.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 7 | ||||
“Stoked Bio leverages high-throughput biology and a diverse suite of state-of-the-art AI approaches to discover and design novel drugs to address urgent unmet clinical needs.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 7 | ||||
“At Symbiotic AI, our mission is to harness the potential of artificial intelligence to empower clinicians and patients making healthcare decisions, because health is what matters…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 7 | ||||
“AI Techlife is an interdisciplinary Artificial Intelligence based biotechnology and biomedical company in Toronto, Canada.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | Simmunome INCIndirect evidence | 6 | |||
“We address the inefficiency of clinical trial success that is currently at >90% failure rate.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 4 | ||||
“Biossil is an applied AI drug discovery platform founded to develop targeted therapies for biologically defined patient sub-populations.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 1 | ||||
Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 1 | ||||
“Our portfolio and type of applications are expanding.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | Solvergen INCStrong evidence | 1 | |||
“web-based no-code auto machine learning platform that's tuned for analyzing biomedical data to find disease markers, therapies and drug targets” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | ML Insights & MetricsStrong evidence | 1 | |||
“ML Insights & Metrics is building a machine learning-based tool to enable scientists to develop safer and more effective therapeutics with targeted delivery through nanoparticles.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 1 | ||||
“GbS Global Biopharma ("GbS"), the wholly-owned Canadian subsidiary of GB Sciences, Inc.(OTCQB:GBLX), is a data-driven drug discovery and development company that leverages machine…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
Showing 18 of 39 machine learning pharma companies based in Canada
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Machine learning pharma companies based in Canada at a glance
As of Sep 5, 2026Companies by employee count
Verified emails by last verification
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning pharma companies, so some rows will be adjacent to the category rather than pure plays. The description and evidence rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase SmartSearch, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in Canada whose own description of what they do matches “machine learning pharma companies”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among machine learning pharma companies, and records with no verified work email. Companies headquartered outside Canada are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and an evidence rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 204 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 5, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
How many machine learning pharma companies are there based in Canada?
RevenueBase identified 39 machine learning pharma companies headquartered in Canada as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Deep Genomics, headquartered in Toronto, tops this list with the largest team on record.
Which city has the most machine learning pharma companies?
Toronto leads with 13 headquartered companies, followed by Montreal (7) and Waterloo (3).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 204 verified decision-maker contacts tracked across these 39 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 5, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase SmartSearch, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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