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Home » Safebooks AI secures $15 million for technology ensuring the integrity of financial data.
AI in Finance

Safebooks AI secures $15 million for technology ensuring the integrity of financial data.

3 Mins Read
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Safe

Safe Emerges from Stealth with Innovative Financial Technology

Safe has made headlines by unveiling its advanced financial technology aimed at transforming revenue integrity for enterprise finance teams.

Significant Seed Funding to Propel Growth

The startup successfully raised $15 million in seed funding through notable investors including 10D, Propel Ventures, and Mensch Capital. Additional backing came from Moneta Venture Capital, Magnolia Capital, Cerca Fund, Blue Moon, along with various strategic investors, enhancing its financial positioning for future developments.

Introducing Agentic Revenue Integrity (ARI)

Safebooks AI focuses on automating financial data governance vital for listing-to-earnings operations. Its platform features an innovative solution known as Agentic Revenue Integrity (ARI), which serves as an intelligent automation layer that complements existing financial infrastructure. Instead of replacing current systems, ARI enhances them by providing real-time monitoring of revenue data and promptly addressing discrepancies.

Capital Infusion to Expand Capabilities

The recent funding will be instrumental in extending the reach of Safebooks AI, particularly in the wake of its stealth phase. The company aims to position ARI as a critical tool for finance functions facing increasing demands for accuracy and speed amidst complex data landscapes.

Streamlining Financial Operations with Automation

Safebooks AI’s model is designed to minimize reliance on manual monitoring of revenue operations, which traditionally involves labor-intensive reviews and reconciliations. By converting these processes into automated and continuous controls, finance teams can expedite transaction approvals, diminish inefficiencies, and achieve compliance readiness at scale. The platform builds a comprehensive map of interconnected financial data, analyzes documents in various formats, and validates transactions seamlessly across systems.

Proven Track Record of Success

Since its inception, Safebooks AI has successfully monitored over $40 billion in financial transactions, significantly cutting down manual reconciliation time for SaaS companies. The technology empowers finance managers with live visibility into revenue data, allowing them to shift from reactive control measures to proactive, continuous monitoring.

Leadership Vision for the Future

Ahikam Kaufman, co-founder and CEO of Safebooks AI, emphasized the necessity of automating data integrity efforts for finance teams, stating, “We created Safebooks to streamline this crucial work using AI, establishing a deep data platform that comprehensively connects structured and unstructured financial data across the CFO’s technology ecosystem.”

Strategic Insights from Industry Leaders

Yahal Zilka, Managing Partner of 10D, noted that “AI is revolutionizing business operations, particularly within CFO offices. Safebooks AI is laying the framework for this evolution, allowing large enterprises to function confidently on reliable and consistently accurate financial data.” The need for such infrastructure will become essential for businesses aiming for scalable operations.

A Vision Built on Innovation

Founded in 2023, Safebooks AI has also introduced the Financial Data Graph to facilitate ARI and automate reconciliations, data checks, and compliance assessments. This forward-thinking approach is designed to prevent revenue leakage while enhancing cash flow predictability by validating transactions in real time.

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CFOs in Finance Adopt AI Technology in Coding

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CFOs in Finance Adopt AI Technology in Coding

January 23, 2026

Regulatory Changes Open Opportunities for Competition Between Fintech and Traditional Banking Institutions

January 23, 2026

Survey reveals that the financial services sector is increasing its investments in AI and open source technologies twofold.

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