AI fintech startup shifts finance from reactive to proactive

Croatian AI fintech startup Sifted has repositioned its platform to turn finance teams from reactive reporters into proactive operators, the company confirmed in a briefing reported by Sifted.eu. The shift follows months of pilot deployments with European mid-market banks and corporate treasury groups.

Sifted’s software ingests live transaction feeds, market data, and internal ERP signals, then surfaces cash-flow forecasts, hedging triggers, and working-capital optimizations before human teams log in. The company claims pilot customers have seen measurable improvements in reducing unplanned overdrafts and optimizing early-payment discounts, though it has not released independent audits to validate these outcomes.

The announcement lands amid broader industry attention to enterprise AI agents. When we covered Deliverance AI’s sovereign-control framework on 13 October, the company framed the issue as a continuity challenge; Sifted now applies a similar lens to finance, arguing that latency in traditional reporting creates material risk. AMD’s local-AI push, noted in our 1 October report, also suggests infrastructure is catching up to the compute demands of real-time financial modeling.

Sifted’s pivot arrives after a recent funding round led by a prominent venture firm. The company has not disclosed revenue, but its customer list—including a handful of banks and corporates—positions it in the mid-market segment where AI adoption is accelerating but enterprise-grade guardrails are still being defined. Observers will watch whether incumbents respond with in-house builds or bolt-on acquisitions.

Sources: sifted.eu