Evidence map
Source-linked facts, open questions and missing documents.
Two buying situations
Same evidence engine. Different commercial question.
Investment funds
Can we buy this, at what price, and what must be fixed?
- Commercial risk before IC
- Quality of revenue and customer base
- Growth levers and 100-day priorities
Companies preparing for sale
Are we buyer-ready, and what will they attack?
- VDD readiness and data room gaps
- Management story and KPI evidence
- Red flags before advisors go to market
Positioning
The safe alternative is not always the best alternative.
The large advisory firms are strong when scale, audit, tax and global process matter. OceanX is for deals where speed, senior judgement and operational relevance matter more.
Named founders
No leverage pyramid. Senior people own the work, the interviews and the recommendation.
Mid-market fit
Designed for DKK 50–250m revenue companies, where a Big-4 process can become too heavy.
Decision output
IC-ready risks, upside and next actions — not just a polished diligence report.
Operator lens
We read DD findings as future operating problems: CRM, data, GTM, product, team and execution.
What the buyer receives
Less report. More evidence, decisions and action.
Risk register
Red flags ranked by deal impact and fixability.
Decision pack
IC, board or owner-ready narrative and recommendation.
Value plan
The practical next moves after signing, or before sale.
Added
Trajectory read
Substitution and structural-risk score, with the moves that survive.
AI only appears where it helps the buyer: faster document review, broader coverage and traceable source references.
Added service · a decision layer on top of classic DD
Trajectory Modelling.
From structural risk to prognostic, capital-relevant intelligence. We model when and how behaviour, technology and market dynamics undermine a company's economics — before it shows in the numbers.
Scan
Is behaviour already moving in ways the numbers don't show yet? Rapid detection across touchpoints and workflow economics.
Forecast
Which futures break the thesis? Assumption stress-testing in controlled sandboxes, with substitution logic under pressure.
Map
Given the modelled exposure, which move holds across every future — accelerate, hold, reposition or avoid?
Most diligence measures the present. Value erosion starts before the numbers move.
The full diligence picture
One connected deal picture.
Every lens feeds a single decision.
Commercial
Market and revenue quality, customers and pipeline.
Financial
Quality of earnings, working capital and robustness.
Tech
Architecture, security, tech debt and scalability.
Legal & regulatory
Contracts, compliance and structural risk.
Operational
Processes, org, systems and delivery.
Tax
Structure, exposures and transaction efficiency.
ESG
Sustainability, governance and reporting readiness.
Trajectory / behavioural
How AI and behaviour shift demand, before the numbers move.
The layer we addThree simple ways to buy
Start small, then expand when the deal demands it.
2–3 weeks
DD Readiness Sprint
For sellers 6–24 months before market. Data room gaps, KPI evidence and buyer attack points.
4–6 weeks
Commercial DD Core
For investors or sellers in an active process. Market, customers, GTM, growth and risks.
6–10 weeks
Value Creation Sprint
For post-deal or pre-sale fixes. CRM, data, process, GTM and operating-model priorities.
2–4 weeks
Trajectory Overlay
Bolt onto any DD, or run portfolio-wide. Signal detection, scenario stress-tests and a go / no-go read.
How we work
Tight cadence. Named owners. Clear decision gates.
Scope
Deal context, audience, questions and timeline.
Evidence
Data room, interviews, financials, CRM and market signals.
Challenge
Buyer attack points, red flags and evidence gaps.
Decide
Recommendation, risk register and next actions.
No anonymous delivery machine. Every engagement has a founder lead and a single decision owner.
Credibility buyers can verify
Four operator profiles. Not four analysts.
Enterprise software, SaaS scale-up, AI strategy and product engineering — senior people who have built and run the things we diligence.
Michael
Salesforce + Celonis
Nordic leadership across enterprise SaaS, plus CEO experience.
Rasmus
12 years CEO
Co-founder and CEO of Howdy; enterprise CRM/ERP delivery background.
Jacob
20+ years
AI, strategy, service design and executive transformation programmes.
Mads
0 to 30 devs
Built Trustpilot's dev team and product foundations during scale-up.
What this means in DD: we don't only check the story. We know what it takes to make the story true after closing.
First step
A 30-minute deal clarity call.
We use the first conversation to decide whether you need readiness, VDD/CDD, a trajectory overlay — or nothing from us.
If you are buying
Bring one target and three open questions.
- We identify the risk areas
- We suggest the right DD scope
If you are selling
Bring your data room status and exit timeline.
- We identify buyer attack points
- We suggest the readiness sprint