Stop Asking If You're an "AI Biotech Company"
The question of whether a biotech is an AI company or not has created a dichotomy that might be hurting
How well do you know your own biotech company?
Running a biotech means managing a complex engine of people and IP. Despite this complexity, the most successful industry leaders
The 'too early to track' fallacy
When does it make sense to start tracking your work? In this Kaleidoscope blog, we explore a common misconception in
The myth of biotech uniqueness
Every biotech is unique in some way, but biotechs have far more in common than most care to admit. In
The psychology behind documentation burden in science
We all know scientists hate documenting things. What's behind this and how can we begin to address it,
Why we invested in customer success at <10 people and <10 enterprise accounts
Customer success is a core pillar for most B2B businesses. But at product-driven startups, this typically isn't emphasized
Stretching your capital: thinking long, thinking parallel
In high-stakes, capital-constrained environments, it's easy to put your head down and focus on putting one foot in
Buying peace of mind
Most often, we buy software for functionality: a specific feature, a solution to an annoying problem. But with some categories
Unlocking the Importance of Structure: Data vs Keys
Biotech R&D generates a vast and complex web of experimental data. To make informed decisions and drive analyses
Culture is an overlooked competitive advantage: lessons from top biotech execs
Creating a culture of transparency and accountability is important – not just for driving company outcomes, but also for motivating team