What we offer

Manual ECL models are slow, error-prone, and hard to audit. Excel-based provisioning doesn't scale and often fails internal control tests.

We build model-driven impairment engines that automate Expected Credit Loss (ECL) calculations under IFRS 9. These solutions ingest your risk and portfolio data, apply stage-based logic, and produce transparent results—with full traceability.

Recognizing revenue over time or by performance obligations is tricky. Most systems can’t handle deferrals, reclassifications, or multi-step contracts.

We encode IFRS 15 rules into flexible engines that track contracts, fulfillment conditions, and revenue schedules. Whether it's straight-line, milestone, or percentage-of-completion—we model it.

Consolidating and presenting trial balance data is tedious, especially across entities or years. Excel-based mappings break easily.

We build systems that auto-map trial balances into custom statement formats. You define the layout—assets, equity, liquidity groupings—we automate the transformation.

Most GL systems are rigid. You end up hacking workarounds or juggling multiple tools to match your accounting structure.

We design and build full general ledger engines tailored to your chart of accounts, business logic, and reporting needs. Multi-entity, multi-currency, audit trail—everything finance-grade.

Generic APIs don’t understand accounting rules. Integration becomes a liability instead of an asset.

We build robust, well-documented APIs with accounting logic baked in. Whether you're exposing financial data, automating reconciliations, or syncing with external systems—our endpoints speak GAAP and IFRS.

Finance teams need insights, not dashboards. And most data teams don’t understand accounting.

We design machine learning and statistical models grounded in finance. From credit risk to anomaly detection, our solutions are transparent, explainable, and useful to finance professionals.