I like that Tnuki is easy for the team to learn and it works fast. I appreciate not having to go to as many places like NIH reporter, which is slow and requires putting together many search terms. The initial setup was very easy.

There’s so much power there. It works so well that I don’t want to use anything else. Tnuki has become something I use continuously throughout my workday — it’s my go-to AI assistant for biotech sales. The way I describe it to colleagues is like having an AI virtual assistant. At first, I thought about using it for simple things like rewriting emails or handling mundane tasks, but my thinking has evolved. Now I use it for much bigger workflows. For example, I can ask Tnuki to find the 50 most relevant researchers studying Parkinson’s disease, research them, and help create targeted outreach. The real value is combining Tnuki’s research capabilities with my sales process — taking insights about someone’s work and using them to create more personalized, relevant conversations instead of generic outreach.

New integrations with the life sci databases means I can find the right prospects, signals, and contact data all-in-one