Optimization control
Whether you’re combing through clinical trial results during the drug discovery process, parsing consumer analytics for targeted sales or pinpointing potential glitches in a manufacturing system, making sense of volumes of complex data can consume valuable resources, derail operations and constrain a company’s growth. But innovators have been developing artificial intelligence–driven platforms that can efficiently comb through reams of information to highlight patterns and surface valuable insights, equipping corporate leaders with the tools they need to make crucial business decisions.
Our next MaRS Session will showcase four Canadian ventures leveraging AI to build solutions that help users manage risk, bolster resilience and hone their competitive edge.
Learn more about the ventures:
Toronto-based Azoma has developed agentic commerce optimization (ACO) software, which allows users to improve their visibility on AI platforms.
Toronto’s Basetwo AI has developed a platform that uses AI to generate a digital twin of a user’s manufacturing process, providing pharma, cosmetics and other companies with a safe, cost-effective way to test new formulations, optimize processes and conduct quality control checks.
Toronto-based BioBox has created an AI solution that consolidates clinical trial results, lab notes, public database records and other information, allowing users to efficiently zero in on the most promising therapeutic targets.
Toronto-based Terno AI has incorporated AI, machine learning and data visualization into a platform that provides insights to help optimize inventory, forecast sales, analyze demographics and tailor recommendations to prospective customers.