Luno Xyrem analyzes your incoming project revenue and idle capital in real time, then delivers predictive recommendations built for the irregular cash flow of freelance work.
The dashboard consolidates project invoices, retained earnings, and market signals into one continuous view, replacing manual spreadsheets with a single point of reference.
Every recommendation originates from a defined data pipeline, not a static model run once a quarter.
Luno Xyrem ingests account balances, invoice cycles, and relevant market indicators on a rolling basis. Predictive models re-score your position as new data arrives, so recommendations reflect current conditions rather than a snapshot from onboarding.
Outputs are ranked by expected impact and confidence, giving you a short list of actions rather than an unfiltered stream of data points. You review, adjust parameters if needed, and decide when to act.
Financial data belonging to independent professionals is held to the same standard we apply to institutional clients: military-grade encryption at rest and in transit, combined with data handling aligned to German and EU regulatory requirements.
Data processing agreements and storage practices aligned with EU General Data Protection Regulation requirements.
Operational procedures structured around German financial supervisory expectations for data governance.
All account and transaction data encrypted at rest and during transmission between services.
Data is stored and processed within EU-based infrastructure, with no routine transfer outside the region.
Access to your account data is restricted by role and logged for audit purposes. No recommendation engine or third-party integration receives raw account credentials at any stage of processing.
Two recurring situations shape how freelancers use the platform day to day.
Income between contracts is rarely predictable. Luno Xyrem models your historical invoice pattern against upcoming known commitments and flags the periods where liquidity is likely to tighten, so you can plan withdrawals or reserves ahead of time rather than reacting after the fact.
Capital held beyond your operating buffer is scored against defined risk bands rather than left idle in a single account. Recommendations account for your stated risk tolerance and liquidity needs, and every allocation suggestion includes the reasoning behind it before you approve or decline.
Onboarding is structured in four stages, each designed to keep manual effort to a minimum.
Connect business accounts and invoicing tools through encrypted, read-only access. No manual data export is required.
Historical income patterns and current balances are processed to establish a baseline risk and liquidity profile.
Ranked, explainable recommendations are presented for review, each with a stated rationale and confidence range.
You approve the actions you want to take. Nothing is executed automatically without your explicit confirmation.
Common questions from freelancers evaluating the platform for the first time.
Every recommendation is tagged with a risk band based on your stated tolerance and the liquidity buffer you define. The platform will not suggest allocations that would breach your minimum reserve threshold.
Recommended allocations are structured around your declared liquidity needs, so a portion of retained earnings typically remains readily accessible. You retain full control over withdrawal timing at all times.
Data is processed and stored on infrastructure located within the EU, encrypted using AES-256 both at rest and in transit, in line with GDPR (DSGVO) requirements.
No. The platform issues recommendations only. Every action requires your explicit confirmation before execution.
Yes. Integration is designed to work with standard invoicing and business account exports, and recommendations are presented with plain-language rationale rather than raw model output.
Questions not covered here can be directed to our team via the contact page.
Request a guided demo to see how Luno Xyrem models your project income and presents allocation recommendations under full regulatory compliance.
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