Kaleidoscope
Making R&D more collaborative, reproducible, and scalable.

Latest

Nov
19

Failed biotech partnerships: defining and proving milestones

What causes biopharma partnerships to fail? Can these failures be mitigated? One such example: a failure to clearly align on
4 min read
Nov
06

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
3 min read
Oct
17

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
4 min read
Oct
04

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
4 min read
Sep
18

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
4 min read
Aug
22

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,
5 min read
Aug
07

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
4 min read
Jul
18

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
4 min read
Jun
21

Buying peace of mind

Most often, we buy software for functionality: a specific feature, a solution to an annoying problem. But with some categories
3 min read
May
29

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
4 min read