Startups & Spinouts
Lean, senior computational teams that scale with early-stage biotechs from seed to Series B.
TYPICAL CLIENT
A technical co-founder or CSO at a seed-to-Series-B biotech without a dedicated computational team yet
Needs senior computational support without the overhead of a full-time hire, and wants infrastructure that will hold up under investor diligence at the next round.
The problems that bring teams to us.
No dedicated computational team yet, but real computational needs
Early-stage biotechs often need senior computational work well before they can justify a full-time hire.
Infrastructure built to move fast now, rebuilt later
The classic early-stage trade-off: fast infrastructure now that becomes a liability the moment diligence starts.
Diligence surprises during fundraising
Technical and data infrastructure gaps that surface during Series A or B diligence can slow down or complicate a raise.
Four places we plug into your program.
What each of these actually looks like day to day — not just the one-line version.
Fractional computational team
Most early-stage biotechs can’t justify a full-time computational hire before Series A, but still need senior-level judgment on architecture decisions that are expensive to get wrong. We embed senior computational biologists and engineers part-time, scaling the engagement up as your team and funding grow.
- Senior computational biologists and engineers embedded part-time
- Engagement scales up smoothly as headcount and funding grow
- No re-hiring or knowledge transfer required as you scale the team
Founder-friendly data infrastructure
Infrastructure built for a pre-seed budget usually needs a full rebuild by Series B, which is expensive at exactly the moment a company can least afford the distraction. We size and price data platforms for an early-stage budget while architecting them to extend cleanly as the company scales, so the rebuild never has to happen.
- Data platforms sized and priced for pre-Series-A budgets
- Architecture designed to extend rather than require a rebuild at scale
- No unnecessary infrastructure bought ahead of actual need
Investor-ready documentation
Technical diligence can stall a round if a data room can’t answer an investor’s questions about the underlying science and systems. We prepare technical documentation and data room materials ahead of time, so diligence conversations move on the strength of the work instead of stalling on missing paperwork.
- Technical documentation prepared for investor and partner diligence
- Data room materials organized around common diligence questions
- Architecture and IP documentation kept current as the company evolves
Speed without shortcuts
Early-stage teams need to move fast, but the reproducibility and security shortcuts that feel fine at seed stage tend to surface as diligence findings at Series B. We run fast iteration cycles that still meet the reproducibility and security bar a later-stage investor or partner will scrutinize, so speed now doesn’t create rework later.
- Fast iteration cycles built around your fundraising and product timeline
- Reproducibility and security standards held constant as you move fast
- Technical debt tracked and flagged before it becomes a diligence risk
Infrastructure that doesn’t need to be rebuilt at your next round.
Early-stage teams often make an understandable trade-off: move fast now, clean it up later. The problem is ‘later’ usually arrives during due diligence, under time pressure, at the worst possible moment.
We build lean but correctly from day one — so the infrastructure that got you through seed funding is still the infrastructure you’re using at Series B.
How we approach this field
Four stages, shaped around how this industry actually operates.
Scope to your stage
We size the engagement to your current runway and team, not a generic enterprise package.
Build for the next round, not just this one
Architecture decisions account for the scale you’ll need at your next funding stage.
Scale the team with you
Our computational team scales up or down as your headcount and funding change.
Prepare for diligence
Documentation and data infrastructure are kept diligence-ready throughout, not assembled at the last minute.
Our Series B diligence was the smoothest part of the raise — because the infrastructure was already built to hold up.
Before you reach out
We regularly work with pre-seed and seed-stage teams of just one or two founders, scaling our involvement as they grow.
That’s explicitly what we design against; architecture decisions account for the scale you’ll need at your next funding stage.
Yes, preparing diligence-ready documentation and data room materials is a standard part of this engagement.
Fundraising and not sure your infrastructure is ready?
Tell us your stage and current setup — we’ll flag anything that could slow down diligence.