Vici.bio brings drug discovery into browser

Hot take: this is less a flashy “AI drug discovery” pitch and more a practical workflow wrapper for people who already know what they want to run but do not want to manage the plumbing.

• –Strong wedge: browser UI lowers friction for researchers who are blocked by environment setup and compute access.
• –Broad workflow coverage: structure prediction, docking, protein design, molecular conversion, and simulation make it more useful than a single-model demo.
• –Good buyer fit: scientists, students, and biotech teams are clear segments with an obvious pain point around iteration speed.
• –The main risk is trust and differentiation: in computational biology, users will want to know which models run underneath, how results are validated, and why this is better than existing notebooks or lab pipelines.