“SWAT aims to empower software development teams to gain and share insight from their data to make better decisions; and develop technologies to help improve the quality and the development productivity of AI intensive and cloud based software systems.”In its own words: swat.polymtl.ca
Foutse Khomh's software engineering lab at Polytechnique Montréal, working on the quality of AI-intensive software; he co-leads a project on safety assurance for multimodal foundation model systems in the CAISI Research Program at CIFAR.
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Received $72k from 1 funder
Led by Foutse Khomh (Team leader / PI (Mila), Lei Ma (co-PI on CAISI grant (Amii), Randy Goebel (co-PI on CAISI grant (Amii)Checked 26 Oct 2026
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All grants
1 grant totalling $72k, newest first.
2025 1 grant · $72k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Jun 2025 | Canadian AI Safety Institute (CAISI) Research Program at CIFAR | $72k | CAISI AI Safety Catalyst Grant (first round): Safety assurance and engineering for multimodal foundation model-enabled AI systems. CA$100,000 for one year, at CA$1 = US$0.72 source |