Bling needed sophisticated financial documentation to support its Series A raise. Specifically, advanced cohort analyses, investor-grade projections, and a model flexible enough to pressure-test multiple strategic paths. Axiom Finance delivered a full 5-year financial model with multiple growth scenarios, detailed unit-economics visibility, and automated investor-ready dashboards. Results: Series A closed 2 months faster than planned, $12M raised, 4× valuation increase vs. seed, and 90% reduced time for scenario planning.
Sector Pi's finance operations relied heavily on manual pre-accounting. Invoices, receipts, and vendor data were handled across multiple tools, which made reconciliation slower than it needed to be. Axiom Finance redesigned their entire finance operations workflow, introducing automated pre-accounting with structured data capture, smart categorisation, and streamlined approval flows. Results: 70% reduction in time spent on pre-accounting, 5× faster month-end close, 100% real-time view into spend, and zero data drift.
OpenRegister's revenue operations were largely manual, making revenue recognition hard and inconsistent. Axiom Finance designed and implemented an automated revenue-recognition workflow tailored to their subscription model. Built a structured reporting framework with standardized SaaS metrics, and automated data flows. Results: 100% automated revenue recognition, 80% faster monthly close, real-time visibility into MRR, churn, and deferred revenue, plus investor-ready insights with a consistent reporting structure.