Safebooks AI raises $15m to bring continuous revenue data integrity to finance teams
Date: December 12, 2025
Safebooks AI has come out of stealth with $15m in seed funding to tackle revenue data integrity for enterprise finance. The round was led by 10D, Propel Ventures and Mensch Capital, with participation from Moneta Venture Capital, Magnolia Capital, Cerca Fund, Blue Moon and several strategic investors.
The company is introducing Agentic Revenue Integrity (ARI), an automation layer that sits on top of existing finance systems. Instead of replacing tools, ARI watches revenue data in real time across the stack and acts when something looks off-before it becomes a month-end problem.
What finance teams get
- Automated, continuous controls across quote-to-revenue workflows
- Faster deal approvals with fewer back-and-forth checks
- Less manual reconciliation and data entry
- Audit-ready compliance at scale
- Reduced revenue leakage and more predictable cash flow through real-time validation
How ARI works
Safebooks AI maps the connections inside your revenue data-documents, CRM, ERP, billing and everything in between. It reads multi-format documents, analyzes records across systems and validates each transaction as it moves through the process.
Since launch, the platform has monitored over $40bn in transactions and removed thousands of hours of manual reconciliation work for enterprise SaaS companies. Finance leaders get live visibility across revenue data, shifting from reactive checks to proactive oversight.
Founded in 2023, Safebooks built a Financial Data Graph to support ARI and automate reconciliations, data controls and compliance checks. The system validates every transaction in real time to prevent leakage and keep cash flow forecasts cleaner.
Why this matters to the Office of the CFO
Accuracy, speed and assurance are under pressure as data volumes and systems grow. ARI offers a way to strengthen control without re-architecting the stack or adding headcount-continuous monitoring instead of spot checks.
As CEO Ahikam Kaufman put it, "Finance teams spend most of their time on data integrity, ensuring revenue data matches across systems. We built Safebooks to automate that work, using AI, as part of a deep data platform that understands how financial data, structured and unstructured, connects across the CFO's entire tech stack. It restores confidence in the data itself, without the manual effort."
10D managing partner Yahal Zilka added, "AI is redefining how enterprises operate, and the Office of the CFO is the next domain to be transformed. Safebooks AI is building the foundational infrastructure for this shift, empowering large organizations to run on trusted, governed, and continuously accurate financial data. Every enterprise will need this layer to operate with confidence at scale, and Safebooks is years ahead in making that future real."
Practical checks before you pilot
- Systems coverage: CRM, ERP, billing, contract repositories and data lakes
- Control design: support for continuous controls monitoring and configurable policies
- Data governance: lineage, access controls, audit trails and exportable evidence
- Intervention workflow: clear ownership, alert routing and SLA for remediation
- Security and privacy: encryption, data residency, and compliance requirements
- Time-to-value: typical integration timeline, sample controls and early ROI signals
The takeaway
If revenue integrity depends on manual reviews, you're paying in delays and risk. An automation layer like ARI can close gaps across systems and keep your revenue data reliable without adding friction to the business.
Want a broader view of finance-focused AI tools? Explore curated options here: AI tools for finance.
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