The most expensive part of a venture capitalist's job is the time they spend reading. For DeepTech, where the science is dense and the founders are often PhDs, that reading is a particularly slow, expensive burn. Roelof Vuurboom, a startup mentor with a background in data science and machine learning, thinks he can automate the first, grueling pass. His company, EviDimensional, promises to grade a startup across 37 dimensions and deliver an investor-grade assessment within 24 hours, all for a flat €2,950 [evidimensional.com, retrieved 2024]. The most audacious claim on his LinkedIn profile is that the system once generated a 75-page commercial due diligence report on a bio-tech business in under ten minutes [linkedin.com/in/roelofvuurboom/, retrieved 2026]. It is a classic automation play, but applied to one of the most stubbornly human processes in finance.
The 37-Dimension Wedge
The product is built around a structured methodology designed to replace gut feeling with graded evidence. It evaluates companies across 37 dimensions, using five levels of evidence and six readiness gates [evidimensional.com, retrieved 2024]. The output is not a simple score, but a detailed report that flags where claims are backed by public data and where critical gaps exist. This is the wedge: offering a consistent, repeatable framework for evaluating companies at every stage, from pre-seed to scale-up. For a solo founder operating with minimal public footprint, the focus is entirely on the product's intellectual scaffolding. There are two service tiers: a Public-Source assessment based on available information, and a Confidential-Source deep dive conducted under NDA [evidimensional.com, retrieved 2024]. The promise is to give investors a head start and founders a brutally honest mirror, all for less than the cost of a junior associate's week.
A Bet on Founder Readiness
The stated market is a four-sided one: investors, founders, advisors, and accelerators [evidimensional.com, retrieved 2024]. The most immediate pain point, however, seems to be founder readiness. DeepTech founders are experts in their field, but often novices at framing their work for venture capital. An evidence-graded assessment could, in theory, act as a translation layer and a roadmap, showing a founder exactly what they need to prove before they walk into a partner meeting. Vuurboom's experience as a mentor and jury member for pitch competitions positions him to understand this gap [linkedin.com/posts/roelofvuurboom, retrieved 2026]. The bet is that by serving founders first, he builds a funnel of qualified companies that investors will eventually pay to assess.
The Solo Founder's Ascent
EviDimensional is a stark example of a venture-scale bet being pursued by a solo founder. Roelof Vuurboom is the entire public team, with a background in IT startup coaching and a specific focus on data science and AI ventures [fastercapital.com, retrieved 2026]. He has raised an undisclosed pre-seed round, but the company's profile is otherwise deliberately quiet, with no customer logos, partnerships, or additional team members visible. This suggests a strategy of perfecting the product engine before scaling distribution. The risks inherent in this approach are straightforward.
- Proof of demand. The €2,950 price point is meaningful for a service with no public track record. The core risk is whether institutional investors, who are the ultimate customers for this data, will trust an automated report over their own team's first read.
- The human element. Due diligence is as much about relationship-building and qualitative judgment as it is about evidence aggregation. An automated report might excel at the latter while completely missing the former.
- Scalability of insight. The system's value depends on the quality of its underlying models and data sets. Maintaining a competitive edge in assessing cutting-edge DeepTech fields requires continuous, expert-led iteration.
The Spreadsheet Test
Let's run the numbers the old-fashioned way. A mid-level associate at a venture firm might bill out at an effective rate of €150 per hour. A thorough first pass on a complex DeepTech startup could easily consume 40 hours of their time, a cost of €6,000 to the fund in lost bandwidth. EviDimensional's €2,950 report, delivered in a day, represents a potential 50% cost saving on that initial screen. The question is not about cost, but about fidelity. If the automated report can reliably identify the 80% of deals that are obvious passes, it frees up human capital for the 20% that merit a deeper look. That is the efficiency gain Vuurboom is selling.
For EviDimensional to succeed, it must beat the incumbent, which is not another software platform, but a deeply ingrained habit: the partner's trusted gut feeling, refined by thousands of pitches. Its report must become so indispensable that skipping it feels like negligence. That is a high bar for any algorithm, but in a field drowning in information, it is a bet worth grading.
Sources
- [evidimensional.com, retrieved 2024] EviDimensional | https://www.evidimensional.com/
- [linkedin.com/in/roelofvuurboom/, retrieved 2026] Roelof Vuurboom | https://www.linkedin.com/in/roelofvuurboom/
- [linkedin.com/posts/roelofvuurboom, retrieved 2026] Roelof Vuurboom on LinkedIn | https://www.linkedin.com/posts/roelofvuurboom_yesterday-i-was-a-jury-member-for-a-pitch-activity-7021802300113309696-K6x9
- [fastercapital.com, retrieved 2026] Roelof Vuurboom - Mentors | https://fastercapital.com/mentor/roelof-vuurboom.html