
Safebooks AI, a San Francisco-based startup founded in 2023, secured $15 million in a seed round. This investment coincides with the public launch of its core product, positioning the company as a pioneer in financial data governance. The round reflects strong investor confidence in AI solutions for enterprise finance, particularly as CFOs seek tools to handle growing data complexity without expanding teams.
Safebooks AI’s seed round was co-led by three venture firms focused on fintech and enterprise software:
- 10D (led the round, with managing partner Yahal Zilka highlighting the need for a governance layer in AI driven finance).
- Propel Ventures.
- Mensch Capital.
Additional participants include Moneta Venture Capital, Magnolia Capital, Cerca Fund, and Blue Moon. No valuation was disclosed. CEO Ahikam Kaufman, a former co-founder of Check (acquired by Intuit for $360 million), brings deep experience in corporate finance and revenue operations.
The capital will fuel product expansion and customer growth. Alongside the raise, Safebooks introduced Agentic Revenue Integrity (ARI), an intelligent automation platform that:
- Maps financial data across CRM, ERP, billing, and document systems.
- Reads contracts and documents in any format.
- Continuously monitors, validates, and auto remediates discrepancies in real time.
- Enables finance teams to shift from reactive checks to proactive, agentic control.
This addresses pain points like revenue leakage, delayed deal cycles, and manual reconciliations.
Despite operating in stealth, Safebooks has already processed over $40 billion in transactions for enterprise SaaS clients, saving thousands of hours on reconciliations. The platform integrates seamlessly with existing tech stacks, making it appealing for large organizations adopting AI agents.
Safebooks AI’s $15 million seed round represents a significant milestone for the two year old startup as it exits stealth mode and introduces its flagship offering to the market. Headquartered in San Francisco, the company was co-founded by Ahikam Kaufman (CEO) and Guy Bar-Gil (CPO). Kaufman’s prior success with Check, sold to Intuit in a $360 million deal, underscores his expertise in automating finance workflows, which directly informs Safebooks’ mission.
The funding round was structured as a seed extension or public seed, building on an earlier undisclosed $7 million raise in April 2023. It attracted a mix of specialized venture investors focused on fintech, AI, and enterprise software. Leading the investment were 10D, Propel Ventures, and Mensch Capital. Yahal Zilka of 10D emphasized the transformative potential, stating that AI is reshaping enterprise operations and that the CFO’s office is next in line, with Safebooks providing the foundational infrastructure for trusted financial data at scale.
Participating investors included Moneta Venture Capital, Magnolia Capital, Cerca Fund, Blue Moon, and several unnamed strategic backers. This diverse group signals broad appeal across venture ecosystems, particularly those betting on AI governance tools amid rising adoption of agentic systems in finance.

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Proceeds from the round are earmarked for accelerating product development and supporting rapid enterprise rollout. The timing aligns perfectly with the launch of Agentic Revenue Integrity (ARI), described as the first agentic layer for quote to revenue processes. ARI functions as an autonomous automation engine that constructs a comprehensive data map linking opportunities, contracts, invoices, payments, and revenue recognition across disparate systems. It ingests documents in any format, validates alignments with CRM, ERP, and billing platforms, and employs AI for continuous monitoring, detecting issues instantly and often resolving them without human intervention.
This capability directly tackles longstanding challenges in revenue operations. Traditional workflows rely heavily on manual reviews, spreadsheets, and periodic reconciliations, leading to errors, delayed closings, and revenue leakage. By shifting to real time, proactive governance, ARI accelerates deal cycles, improves cash flow predictability, and frees finance teams to focus on strategic priorities rather than data cleanup. Kaufman noted that finance teams currently spend most of their time ensuring data integrity across systems, and Safebooks automates this entirely through a deep understanding of financial connections.
Even before its public debut, Safebooks demonstrated impressive early adoption among enterprise SaaS companies. The platform has monitored more than $40 billion in financial transactions and removed thousands of hours of manual reconciliation work. These metrics highlight immediate value delivery and position the company well for scaling in a market increasingly demanding AI governed data to support faster, autonomous workflows.
The broader context underscores why this round matters. As enterprises integrate more AI agents into operations, the need for reliable underlying data becomes critical, especially in finance, where accuracy directly impacts reporting, compliance, and decision making. Safebooks fills a gap by providing an automation layer that operates at machine speed, ensuring completeness and trustworthiness without adding headcount. Investor enthusiasm, evidenced by the oversubscribed round and supportive quotes, reflects optimism that tools like ARI will become essential infrastructure for the modern CFO.
| Aspect | Details | ||
| Amount Raised | $15 million | ||
| Round Type | Seed | ||
| Lead Investors | 10D, Propel Ventures, Mensch Capital | ||
| Participating Investors | Moneta Venture Capital, Magnolia Capital, Cerca Fund, Blue Moon, others | ||
| Valuation | Not disclosed | ||
| Use of Funds | Product development, enterprise adoption | ||
| Key Product Launched | Agentic Revenue Integrity (ARI) | ||
| Early Traction | >$40 billion transactions monitored; thousands of hours saved | ||
| Founders | Ahikam Kaufman (CEO), Guy Bar-Gil (CPO) | ||
| Headquarters | San Francisco, CA |
Overall, this funding positions Safebooks AI as a rising player in AI driven finance automation. With proven early results, experienced leadership, and backing from prominent investors, the company is well equipped to capture share in the growing demand for data governance solutions that enable enterprises to “trust their numbers” at scale.
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