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EXPERT KNOWLEDGE

AUTOMATED ANALYSIS

ARTIFICIAL INTELLIGENCE

We analyze and evaluate software systems, their technical value and debts, their ability to scale, and the proficiency and velocity of the development team behind them. We uncover hidden issues and point out red flags, so that you can make an informed investment decision.

ANALYSIS

We review five key areas of interest: technical value and debts, scalability, team competence and velocity. But every investment is unique. We collect all necessary information needed to do a profound analysis of the software systems and development organization to answer your questions.

Report

We report potential red flags early in the process. We summarize our findings in a report containing an executive summary page, performance benchmarks comparing the target company with previous analyses, and detailed technical recommendations and priorities for improvement after a potential investment.

RECOMMENDATION

We give a clear investment recommendation from the technology point of view. In a debriefing meeting we provide technical expertise regarding the target company, the technology they use, hidden cost, opportunities and the business impact of their technology.

THE BIG FIVE

The Big 5 KPIs objectively benchmark the target’s IT systems and development organization.

45

/ 100
Technical Value
What are the costs to redevelop the system?

30

/ 100
Technical Debts
What are the costs to bring the system to standard quality level?

60

/ 100
Scalability
Can the system handle growing numbers of customers, can the team onboard growing numbers of customers and developers?

55

/ 100
Team Competence
Is the IT team capable to what they plan to develop?

80

/ 100
Team Speed
How fast can the IT team deliver value?

These KPIs put target company’s IT technology and organization on the balance sheet. They show technology assets and liabilities.

THE DUEDIVE PROCESS

We suggest the following IT due diligence process. It takes 1-2 weeks. We are also flexible to integrate in our customer’s processes.

1. Analysis
  • Kick-off with the investors to understand investment hypothesis and special questions.
  • Kick-off with the target to explain the process, responsibilities, and time line.
  • Manual and automated code analysis.
2. Report

Structured interview with tech leads of the target company.

  • Red flag report.
  • Executive summary, benchmark and roadmap recommendation report.
3. Recommendation
  • Investment recommendation based on technical observations.
  • Roadmap discussion.
  • Questions and answers.
4. FOLLOW UPS
  • Reassessment, short update.
  • Trend and gap analysis.
  • Roadmap alignment.

About Us

Our due diligence service rests on three cornerstones: scientific analysis methods, years of experiences in the IT industry, and artificial intelligence based on data from all our due diligence projects.

Scientific analysis methods

They are based on tools and structured inspections for an objective assessment. We tightly collaborate with Linnaeus University, where our co-founder Prof. Dr. Welf Löwe holds a chair in Software Technology (since 2002).

Experiences in the IT industry

We utilize the expertise of our owner company Softwerk, an IT project company, where our cofounder Dr. Rüdiger Lincke works as CTO (since 2009).

Artificial intelligence

Experts learn from experience and computers learn from data. We leverage our service based on experience and data from more than 100 due diligence projects.