Priority Software, an Israeli ERP provider, has acquired AI cash flow forecasting startup Obol for tens of millions of shekels, marking its fourth deal since Blackstone took a controlling stake in 2024. The acquisition adds real-time cash flow visibility and predictive analytics to Priority's platform at a time when finance teams increasingly rely on AI for day-to-day treasury decisions.
Obol developed an AI platform that connects to banks, ERP systems, and payment processors, giving finance teams a single view of cash positions and forecasts. The company, founded by Michael Shomer Schwartz, Ori Mizrahi, and Aviv Sadra, serves over 100 customers, mostly in North America, with a team of about 20 people.
Priority's acquisition strategy under Blackstone
The deal is part of an aggressive acquisition strategy that has reshaped Priority in recent years. The company has completed nine acquisitions worth hundreds of millions of shekels since 2013, when Fortissimo Capital acquired it from receivership for NIS 192 million. Under CEO Sagive Greenspan, Priority has expanded into new verticals including tourism, education, and engineering software.
In May 2024, Blackstone bought a 70% stake in Priority at an $800 million valuation, with Fortissimo and TA Associates retaining a combined 30%. Since then, Priority has accelerated its dealmaking, acquiring Expondo and Retailsoft, among others. The company's ERP platform serves about 75,000 customers across 70 countries, with roughly 660 employees.
What Obol brings to the platform
Obol's technology will be integrated into Priority's ERP system, strengthening its financial management capabilities. The startup's AI models analyze cash positions in real time and generate forecasts, helping finance teams anticipate liquidity needs without manual data aggregation. Most of Obol's customers are in the United States, giving Priority a stronger foothold in the North American market.
The shift reflects a broader trend: AI-powered cash flow management is moving from a niche tool to a standard ERP feature. Finance professionals are increasingly seeking AI for Finance resources and structured learning paths that cover forecasting, budgeting, and predictive analytics.
Why this matters for finance professionals
Priority's move signals that machine learning models for liquidity forecasting will soon be as common in ERP systems as spreadsheets are today. For finance managers, the ability to interpret and validate AI-generated forecasts is becoming a core skill. The deal also underscores the importance of real-time data integration across banking and ERP systems - a competency that finance teams must build now to stay relevant.
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