Argon AI (YC) - automating clinical & commercial workflows for life science professionals
60% of of executives in Life Sciences are already baking savings and productivity boosts into their 2024 budgets because of AI But realizing these projections will be hard. Everyone sees breakthroughs in AI as a path to efficiency and productivity. But no one knows how to deploy AI and what use cases to go after Common challenges are integration, data and IP protections, on-prem deployment, and building the right supporting product software and products to earn adoption of users. What challenges is the industry facing that I haven’t listed? At Argon, we’re focused on bridging the gap between biopharma domain specific AI and safety & trust for enterprise. We’re the first professional grade AI built specifically for pharma and we’re seeing near 2X month-over-month increase in how often people come to Argon to do their work