Passive capital loses value as the market moves
Many small businesses allow significant amounts to remain in the operating account. The funds are available, but they do not contribute to the development of the business.
Traditional analysis tools have been adapted to large players with their own analysis environments. This has given skewed access to information. Pirel Kvasto removes this barrier by combining real-time data with machine learning.
Predictive analysis means in practice that the model looks for patterns in historical and ongoing data, and estimates likely trends. Volatility describes how much values fluctuate over time. The platform translates both parts into a language the management can use: expected effect, time horizon and risk level.
The result is a decision basis that is adapted to the company's size and liquidity, not standard advice. You retain control, while the analysis does the heavy lifting of sorting information.
Read about the approach of Pirel KvastoTechnology that explains what it does and why
Three functions cover the entire chain from data to recommendation. Each function is defined, verifiable and adapted to companies without their own analysis department.
Predictive modeling for early signals
The models process large amounts of data and identify trend changes before they become apparent in accounts or market reports. You get an estimate with a time horizon and level of uncertainty, so that priorities can be adjusted in time.
Explore models and data sourcesFull access with no minimum amount
There is no threshold to start. You work with the amount the company actually has available, whether it is a smaller profit after tax or a larger reserve. The functionality is the same regardless of amount.
See who the solution is suitable forAutomated risk management that protects capital
The risk module monitors fluctuations and alerts when the exposure deviates from the limits you have set. It suggests adjustments that reduce downside risk, and documents the rationale for each suggestion.
Read about risk frameworks and warningsA sober working tool for financial decisions
Pirel Kvasto has been developed as a professional assistant for financial and strategic choices. The platform collects relevant data streams, analyzes them systematically and presents findings in a format that is suitable for boards and management.
- Real-time processing of large amounts of data, with an emphasis on verifiability.
- Scalable recommendations that adapt to liquidity, horizon and risk framework.
- Measurable outcomes, where each recommendation can be followed up against actual development.
The analysis basis is presented without unnecessary complexity, so that decisions can be documented internally.
This is how the platform goes from raw data to recommendation
The process is divided into three steps. Each step is separated and documented, so you can see what data was used and how the conclusion was derived.
Data collection
We connect to relevant data streams in a secure and limited way. Only data that is necessary for the analysis is collected.
AI processing
The algorithms analyze large amounts of data to find patterns and deviations. Findings are weighted according to relevance and reliability.
Decision support
You receive concrete recommendations for capital placement, with expected effect, horizon and risk assessment.
Would you like to see what questions other companies ask before starting up?
Applications for smarter capital management
Same method, adapted to different needs. Choose the scenario that best describes the company's situation.
Short-term liquidity optimization
Profits that are not to be tied up for a long time are invested with an emphasis on availability and predictability. The analysis assesses the time horizon against expected fluctuations.
See analysis for liquidityStrategic rebalancing
For portfolios with several placements, the model provides suggestions for adjusted distribution. Every change is justified by data, not by general market assumptions.
See analysis for portfolioRisk reduction in turbulent periods
As fluctuations increase, the frames are tightened and exposure is reduced in a controlled manner. You will be notified before limits are breached.
Let the data form the basis for the next growth decision
Submit the contact form for a review of how Pirel Kvasto can be applied to your company's liquidity. The review is non-binding and is adapted to the amount, horizon and risk framework.
- No minimum deposit to use the platform
- Documented method with clear assumptions
- Recommendations that can be followed up against actual outcomes
Request review
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