Laguru Sebori processes your business's financial data in real time to identify liquidity opportunities, quantify risks, and support reinvestment decisions, under a military-grade encryption framework and current regulatory compliance.
Most SMEs accumulate liquidity in low-performing accounts because they lack tools that analyze risk and opportunity as quickly as markets change. Laguru Sebori turns this analysis into a continuous and auditable process.
Reinvestment decisions are often based on quarterly reports that are already out of date by the time they reach the management committee.
Our models analyze cash flows and treasury positions in real time, updating recommendations as conditions change.
Excess liquidity without a defined destination translates into opportunity cost and unnecessary exposure to inflation.
The system identifies idle capital thresholds and proposes allocation scenarios with their quantified risk profile before executing any movement.
Each Laguru Sebori module is designed to translate volumes of data into measurable actions, without compromising the security of the information processed.
Algorithms trained with financial time series that estimate liquidity and risk scenarios in the short and medium term, updating with each new treasury data.
All information transits and is stored under AES-256 encryption, with keys managed independently of operational data to reduce the exposure surface.
Cash flows, receipts and payments are incorporated on a continuous basis, so recommendations reflect the true financial position of the business, not a snapshot of the previous month.
The platform is designed in accordance with the principles of the General Data Protection Regulation and the usual traceability requirements in the financial sector.
Laguru Sebori documents each stage of the analysis so your team can audit the origin of each recommendation before making a decision.
Existing financial sources—banking, accounting, and treasury—are connected through secure integrations, without duplicating manual processes.
The models process data to detect business-specific patterns of liquidity, seasonality, and risk.
The system proposes capital allocation scenarios with their estimated impact on profitability and risk exposure.
A human team reviews the proposals together with its financial management before any capital movement is executed.
Data is encrypted both in transit and at rest, with role-based access control and audit logs independent of the analytics team. No recommendation is generated without leaving a verifiable trace of the data that originated it.
Laguru Sebori does not share financial data with third parties for commercial purposes nor does it use it to train models other than the client. Each company maintains ownership and control over its own information.
The platform connects to existing financial data sources using standard integrations. There is no need to replace the accounting or treasury software your company already uses; Laguru Sebori is positioned as an analysis layer on that information.
The data is hosted in infrastructure located in the European Union, under AES-256 encryption and with access restricted by roles. Your company retains ownership of the information at all times and may request its export or deletion.
The deadline depends on the volume and quality of data available, as well as the frequency of each company's treasury decisions. The intake and initial analysis process is usually completed in the first few weeks; From there, the recommendations are updated continuously.
We will discuss the current situation of your treasury and evaluate whether Laguru Sebori can provide visibility on your idle capital.
See the details of technical functionalities