Hey {{first_name|default:there}}, itās Vadim š
An exciting update in case you missed it:
Our previous poll made it pretty clear - getting investors to actually respond is the #1 challenge for many of you right now.
So I'm putting together a dedicated training on investor outreach. This will cover not just how to get responses, but how to build real, authentic relationships with investors that can stay with you well beyond your current raise and even your current company.
If thatās something that would be helpful for you, you can get on the waitlist here, so you don't miss it.
Now, on to today's issue.
Once investors start responding and you're moving them through your funnel, the next question I hear from almost every founder is: "What should I put in my data room?"
This is not a trivial question - most data room guides are built for tech startups and seldom address the complexity for biotech or life science founders navigating IP, regulatory, and scientific data.
š§ HEREāS WHAT WEāLL COVER TODAY:
Why most biotech data rooms slow down fundraising instead of speeding it up
The 3-layer data room architecture (and what goes in each layer)
What changes by subsector - therapeutics, devices, SaaS, diagnostics
How to build a data room in 30-days without a legal team or burning out
Bonuses like data room tools & AI prompts for getting organized fast
Letās jump in!
FOUNDER STORY
Do you, founder, take this VC to be your lead investor?
Here's what's funny about data rooms: most biotech founders lose sleep over their setup, but most investor conversations never even get to that stage. They end much earlier, for reasons that have nothing to do with due diligence materials.
But for the ones that do get there? A messy or poorly structured data room is the last thing you want slowing down a deal that's actually moving forward.
The good news: setting one up isn't that complicated. You probably already have most of the materials. It's just a matter of organizing them thoughtfully and knowing what goes where, especially the biotech-specific pieces like scientific data, IP, and regulatory documentation that most generic startup guides completely miss.
But there is also a larger dynamic to be aware of: a VC investment, especially at seed or Series A, is a relationship that's often harder and more expensive to unwind than a marriage.
So, in my view, the data room isn't just a file-sharing exercise.
It's a trust ceremony.
What is a trust ceremony, you may ask?
Well, you can think of it this way:
"Do you, Founder, take this VC as your lead investor? Do you accept that they are bought into your science, that they will bring in other high-quality investors into this round and the next, and that they will support you through pivots, down rounds, and 3am existential crises?"
"And do you, Investor, take this founder as your Series A commitment? Do you accept that they will act with integrity and consistency, that the data they've shared is complete and accurate, and that they will deploy your capital with the same care they'd give their own?"
āI do..ā
āI do.ā
"You may now open the data room"
(Am I the only one thatās tearing up? :)
In seriousness, the real question behind every data room decision is: do I trust this person enough to share this, and have they earned it? Do I truly trust them to do business together for years to come?
The framework below is built around these questions. It gives you a structure that protects you while making it easy for the right investors to move forward.
Feel free to use it as your starting point and adapt it to your specific relationships and circumstances.