Stop reading decks.
Start evaluating companies.

DealLens handles the manual screening work that consumes most of an analyst's week. Software and service, tailored to your fund's templates, integrated with your stack, hosted in the EU. Your team spends its time on judgement, not on copy paste.

01 · The product

Deck in. Full intake workflow out.

Five core artefacts your associates would otherwise create by hand. Every item is linked back to its source pages in the deck. Analysis done quicker, more consistently, and with a clear audit trail.

app.deallens.nl  /  intake  /  Q3-2026 · Lumen Logistics BV.pdf
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LUMEN LOGISTICS BV · 2025 INVESTOR DECK P. 14

Recurring revenue, FY 2022 to 2025

Subscription contracts, EUR millions. Audited where indicated.
FY22
FY23
FY24
FY25
Source: management accounts Confidential
...
Investment Teaser
Confidential

Lumen Logistics. Last mile fulfilment for European DTC.

Asset-light fulfilment platform serving 240+ DTC brands across NL, DE and FR. Subscription revenue model with strong net retention and a defensible operator network.

€18.4M P.14
ARR · FY25
62% P.16
YoY growth
128% P.21
Net retention
€2.1M P.27
EBITDA · FY25
240 P.09
Brand customers
€8M P.34
Round size
Recurring revenue compounded at 62% YoY through FY25P.14, anchored by 240 brand customersP.09 and 128% net retentionP.21. EBITDA inflected positive in H2-FY25.
Citation coverage
42 / 42 figures
Template
Northway · v3
Compute
EU-WEST-1
Status
Ready · review
Intake → Output
04:21
01 · Teaser

The fund's house template

Not a generic AI summary. The teaser comes out in the firm's own typography, layout and tone, pixel aligned to the existing one pager standard.

02 · Excel

Populated, not regenerated

Your LBO and screening models, filled. Formulas are preserved, named ranges respected, audit-traceable to the deck page they came from.

03 · CRM

DealCloud / Affinity ready

Structured record with sector, round, geography, advisor and thesis-fit score. Pushed straight into pipeline. No copy-paste.

04 · Email

Draft follow-up to advisor

A house tone draft to the sell side advisor. Not a templated reply, but the three sharp questions an associate would have asked anyway.

05 · Benchmark

Your archive as a comparator

Every new deal scored live against your fund's own deal history and deck archive. Multiples, growth, cohorts, retention. your institutional memory becomes a reference set.

02 · The thesis

Judgement needs to be manual. Analysis doesn't.

European mid-market PE/VC funds receive hundreds of inbound decks every year. Most will be a no, and that is the point. The job of screening is to filter. The job that should not be manual is what comes after the filter.

Across an inbound deal flow, the structured first-pass work is the same set of tasks repeated hundreds of times per year. Extract the KPIs. Populate the model template. Update the CRM. Draft follow-up. The volume varies fund to fund. The work does not. And when the same associate handles a Monday morning deck and a Friday afternoon deck, they apply different attention to each.

DealLens handles the analysis uniformly. Every inbound deck is processed against your house template, your model, your CRM and your archive, the same way, every time. Judgement stays with you.

Where analyst time goes · indicative Example · mid market
Today
Analysis~ 1,200 h
Extract, populate, update, draft. Same tasks, every deck.
Judgement~ 200 h
What partners and associates actually decide on.
With DealLens
Analysis~ 80 h
Automated extraction. Associate reviews each output.
Judgement~ 1,320 h
Time on the work that needs you.
The hours don't disappear. They move. ~ 1,400 h / yr
Indicative figures for a typical European mid-market fund. DealLens time assumes about 20 minutes per deck of associate review after automated extraction. Real numbers vary by deck complexity.
03 · EU hosted, by design

Your dealflow stays in Europe. By design.

Every deck, every prompt, every output processed inside the union. Your data stays yours.

01

Hosted in the Netherlands.

Google Cloud Eemshaven. Backend, storage and AI inference run in europe-west4. No data leaves the union. Zero retention with Anthropic via Vertex AI.

02

Compliant by construction.

GDPR Article 28 processor agreement. DORA Article 30 clauses with audit rights for AFM and DNB. Every AI output labelled and source cited back to its deck page. ISO 27001 certification targeted Q4 2026.

03

Your archive, your IP.

We do not train on customer decks. Tenant isolation between funds. Your institutional memory remains yours. Full export and deletion on demand.

Standard at signing. DPA, DORA clause MSA, public sub processor register.

Founding partners shape these templates with their own compliance officer. The first review becomes the standard the rest of the market inherits.

04 · Launch partner · Three slots

The investor's seat and the operator's seat, at the same desk.

Launch partners hold equity in DealLens and use the product daily on their own inbound deal flow. The fund that invests is the fund that operates. Your daily friction becomes the roadmap. Your archive becomes the benchmark layer.

  • 01 You are an investor. Pre-seed allocation alongside the contract. Indicative range €100k to €500k at the pre-seed valuation.
  • 02 You are the operator. Your team runs the product on live inbound deal flow. Friction surfaces in the weekly check-in. Roadmap follows.
  • 03 You are a co-author. Templates, integrations, roadmap shaped by your workflow. Your house template is the v1 template. Your CRM is the v1 integration.
  • 04 You are the first reference. Founding rate locked for 24 months, indicatively around 50% of post-launch pricing. Direct line to developers. No account managers, no support tickets.

Apply for one of three launch slots

Rather start with a conversation? Email us directly at [email protected]. We will reply within 48 hours.

05 · The founders

Two data specialists. Direct line. No account managers.

Both Roy and Laurens are data scientists and AI engineers running DealLens as data specialists with years of hands on experience shipping data driven projects. Roles are split evenly: complementary expertise, both ambitious, both at the keyboard.

Roy Veenboer
Co founder · Data scientist · AI engineer

Roy Veenboer

Ambitious and assertive by nature, with a serious football career and a love for the ski slopes. Genuinely obsessed with AI, always up to date and always trying out what's new. Has worked across data science, forecasting, and AI engineering in both consulting and in-house roles. Came to DealLens to build something of his own, where the work actually makes a difference.

Laurens Bos
Co founder · Data Scientist · Software Engineer

Laurens Bos

[PLACEHOLDER] Senior data scientist with a track record delivering AI-driven products in regulated industries. Specialises in document understanding, structured extraction, and building systems that non-technical teams can trust and verify. Joined DealLens to apply that work where the output actually changes a decision.