Same projects. Different combination. Greater results.
You can achieve higher returns with your existing projects.
We calculate the optimum scenario - before you decide.
Free of charge. Without obligation. Based on your existing projects.
StratePlan calculates the optimal portfolio where traditional tools reach their limits.
Instead of evaluating projects in isolation, we analyze all possible combinations - and identify the best solution.
The global optimum is not an assumption - it can be calculated.
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Blog main article:
IRR optimization across the entire portfolio using hybrid AI and precise multithreading
Why individual projects are deceptive - and capital is earned where combinations are right
There is still an unspoken assumption in almost all investment, project development and infrastructure organizations:
If each project delivers an attractive IRR on its own, then the overall portfolio is also good.
This assumption is wrong.
And it costs investors, cities and companies billions every year.
Return on capital is not generated at project level.
It is generated at portfolio level - where cash flows, capital commitment, risk, time, dependencies and re-investment opportunities interact.
If you only evaluate projects, you see trees.
Those who calculate portfolios see the forest.
1. Why IRR at project level is systematically deceptive
The IRR (Internal Rate of Return) is a powerful key figure.
It measures how quickly capital invested grows over time.
But it has a dangerous characteristic:
It is not additive.
Two projects with an IRR of 15 % each do not automatically result in a portfolio with an IRR of 15 %.
Why?
Because IRR says nothing about the following factors:
- Capital commitment
- Simultaneity
- Liquidity requirements
- Re-investment ability
- Dependencies
- Risk accumulation
- Cash flow timing
These factors only exist at portfolio level.
2. The mathematical problem: 2n complexity
A portfolio of N projects does not have N decision options.
It has:
2N
possible combinations.
| Projects | Combinations |
|---|---|
| 10 | 1.024 |
| 20 | 1.048.576 |
| 30 | 1.073.741.824 |
| 50 | 1.125.899.906.842.624 |
No investment committee, no Excel spreadsheet, no human being can keep track of this space.
And yet we make decisions every day as if it were linear.
3. Why Excel, business cases and investment memos fail
Traditional tools always answer the same question:
"Is this project any good?"
But they cannot answer:
"Is this combination of projects optimal?"
Because they would have to:
- look at all cash flows simultaneously
- Recognize capital bottlenecks
- take into account temporal overlaps
- Model risk accumulation
- and compare millions to billions of combinations
This is a combinatorial optimization problem - not a spreadsheet problem.
4. A real example (simplified)
An investor has €100 million.
He has five projects:
| Project | Capital | Maturity | IRR | Cash flow |
|---|---|---|---|---|
| A | 40 | 8 J | 14% | late |
| B | 30 | 6 J | 13% | late |
| C | 20 | 3 J | 10% | early |
| D | 25 | 4 J | 11% | medium |
| E | 15 | 2 J | 8% | early |
Project A and B look best individually.
But together they tie up 70 million for 6-8 years.
This means there are no funds for re-investments.
A portfolio of C, D and E can generate a higher portfolio IRR, although each individual project looks worse - because capital flows back faster and can be reinvested.
Excel sees IRRs.
Capital sees cycles.
5. The real truth
Investors don't lose money because they choose bad projects.
They lose money because they
choose the wrong combination of good projects.
6. What a true portfolio IRR optimizer must do
A true portfolio optimization system must:
- Model all projects simultaneously
- Consider all realistic combinations
- Adhere to budget and liquidity restrictions
- Consider cash flow timelines
- Map risk accumulation
- Optimize target conflicts (IRR, risk, ESG, liquidity)
This is not a finance tool.
This is high-performance optimization mathematics.
7. This is exactly where StratePlan comes in
StratePlan is not a reporting tool.
It is not a simulation tool.
Not a BI system.
StratePlan is a hybrid AI portfolio solver for investment spaces with 2n complexity.
It combines:
- combinatorial optimization
- Branch-and-bound
- Heuristic-driven search
- Evolutionary algorithms
- Machine learning for search control
StratePlan does not calculate scenarios.
It calculates the entire decision space.
8. What StratePlan delivers in concrete terms
Instead of:
"This project is good."
stratePlan delivers:
"This project combination maximizes your portfolio IRR under all real-world constraints."
That is a fundamental difference.
9. Why this is changing the market
Banks, funds, area holdings and governments move trillions, while seeing only a fraction of the decision space.
StratePlan makes this space calculable for the first time.
That changes:
- Lending
- Investment committees
- Funding decisions
- Urban development
- Infrastructure programs
Those who use StratePlan not only see better projects.
They see better realities.
10. The new world
In future, people will no longer ask:
"Why did you choose this project?"
But rather:
"Why did you choose this project combination - and not a better one?"
StratePlan provides the answer.
FAQ - IRR optimization across the entire portfolio
What is the difference between project IRR and portfolio IRR?
Project IRR measures the return on an individual project.
Portfolio IRR measures the return on the entire capital allocation including timing, liquidity and interactions.
Why is Excel not enough for this?
Excel can do the math.
But it cannot optimize combinatorially.
250 combinations are not a spreadsheet problem.
What makes StratePlan different?
StratePlan calculates the entire decision space mathematically and finds the optimal combination - not just good individual projects.
For whom is this relevant?
- Area holdings
- Private equity
- Infrastructure owners
- Banks
- Cities
- Energy and industrial companies
Wherever capital is tied up in portfolios.
How big is the benefit?
Just 2-5% better capital allocation in portfolios worth billions means tens of millions per year.
Is that AI or math?
Both.
StratePlan uses AI to make mathematical optimization controllable in extreme decision spaces.
Can this be used for political and regulatory purposes?
Yes.
Because StratePlan does not deliver an opinion - but calculable optimality.
Final thought
The next generation of investors will not be the one who find the best projects.
It will be the one that combines their capital most precisely.
And that is exactly what StratePlan calculates.
Dr. Igor Kadoshchuk is a computer scientist, algorithm architect, and one of the leading minds behind mAInthink's optimization and decision-making algorithms. As scientific director of the StratePlan™ and DeepAnT platforms, he combines in-depth mathematical research with practical applications in project portfolio optimization, business, finance, and public administration.
He holds a PhD in computer science from the renowned Moscow Institute of Physics and Technology (MIPT), where he also taught as a professor of computer engineering and mathematics. He has decades of experience developing highly complex mathematical models for project portfolio optimization and financial systems, investment planning, and strategic decision-making. His professional career includes leading positions such as Head of IT at Gazprombank and Director of Project Management at TransTeleCom.
Dr. Kadoshchuk writes on the mAInthink AI Blog. Kadoshchuk on:
- Algorithmic strategy optimization
- New methods for calculating ROI and impact
- Project portfolio optimization beyond traditional tools
- The limits of human decision-making – and how AI overcomes them
His aim: to calculate strategy, not estimate it.
His contributions combine scientific precision with clear, understandable language – always with the goal of making complex decision-making spaces transparent, manageable, and measurable.