Safebooks AI
Safebooks AI is an enterprise software company that provides an agentic financial data platform automating quote-to-revenue finance operations, including reconciliation, close, and revenue integrity, for enterprise finance teams such as CFOs and Controllers.
- Company typePrivate
- Founded2023
- HeadquartersWilmington, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Safebooks AI does
Safebooks AI (legal entity: Safebooks, Inc., Delaware) is a San Francisco-headquartered enterprise software company founded in 2023 by Ahikam Kaufman (former co-founder of Check, acquired by Intuit for $360M) and co-founder Guy Bar-Gil. The company develops an agentic financial data platform, branded as Agentic Revenue Integrity (ARI), that automates quote-to-revenue finance operations for enterprise customers, with publicly disclosed customers including Hippo, WIZ, and SentinelOne.
The platform is built on a proprietary Financial Data Graph, a semantic layer that ingests data from ERPs, CRMs, billing systems, HRIS, banking feeds, CLM, and source documents (with named integrations including Salesforce, NetSuite, Zuora, Workday, Stripe, AWS Marketplace, Ironclad, and Okta), normalizing the data into a unified schema and mapping every relationship. On top of this graph, dozens of specialized AI agents run financial processes end-to-end, including reconciliation, data validation, document intelligence, policy enforcement, anomaly detection, and automated workpaper generation. The company has monitored over $40 billion in financial transactions and reports outcomes such as 50% faster close times, 100% transaction coverage, and 80-95% reduction in manual reconciliation hours. The platform is certified SOC 1 Type II, SOC 2 Type II, and ISO 27001.
Safebooks AI operates an enterprise sales-led go-to-market model, delivering 25-minute finance-engineer-led product demos followed by 4-6 week white-glove implementations. Pricing is quote-based annual subscription; revenue is not publicly disclosed. The company has raised approximately $22 million in total funding across a $7M round in April 2023 and a $15M seed round in December 2025 led by 10D, Propel Ventures, and Mensch Capital, with participation from Moneta Venture Capital, Magnolia Capital, Cerca Fund, and Blue Moon. The company employs 11-50 people and currently operates in North America.
Safebooks AI firmographics
Firmographics- Name
- Safebooks AI
- Legal name
- Safebooks, Inc.
- Website
- https://safebooks.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Safebooks AI is an enterprise software company that provides an agentic financial data platform automating quote-to-revenue finance operations, including reconciliation, close, and revenue integrity, for enterprise finance teams such as CFOs and Controllers.
- Ownership category
- akta.pro rank
Safebooks AI industry classification
Industry- Product category
- Financial Data Governance Platform
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE)
- akta.pro secondary industries
- Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), AI Privacy Engineering & Data Governance (PII, consent, retention) (HDAAAKAB), Responsible AI, AI Governance & Compliance Services (BPAEAHAJ)
Keywords
Where Safebooks AI is headquartered
LocationHeadquarters
- HQ city
- Wilmington
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Safebooks AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales
Revenue model
- Platform/SaaS Subscription: Subscription-based SaaS model providing access to the Safebooks AI agentic finance platform. The platform is deployed as a white-glove implementation service followed by ongoing subscription access to AI agents and the Financial Data Graph.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS subscription with white-glove deployment |
Go-to-market motion2 records
Distribution channels1 record
Marketing channels6 records
Safebooks AI product offering
Product offeringCore offering
Safebooks AI builds an agentic financial data platform that connects enterprise ERP, CRM, billing, banking, HRIS, and source-document systems, normalizing them into a proprietary Financial Data Graph. AI agents then run quote-to-revenue, order-to-cash, procure-to-pay, payroll, and financial close processes end to end, with continuous reconciliation, real-time validation, policy enforcement, anomaly detection, and automated workpapers.
Product overview
Safebooks AI is an agentic financial data platform consisting of a core AI platform powered by the proprietary Financial Data Graph, with multiple specialized modules and solutions. The platform operates as a unified system where the Financial Data Graph connects ERPs, CRMs, billing systems, and banking feeds, normalizing all data into a single schema with full traceability. Built on top of this graph are process-specific solutions including Agentic Revenue Integrity (ARI) for revenue data integrity, Agentic Financial Close for end-to-end close automation, Order to Cash (O2C) and Procure to Pay (P2P) for core financial workflows, plus specialized modules for Cash Application, Automated Journal Entries, AI-Powered Flux Analysis, AWS Marketplace Reconciliation, and Payroll Reconciliation. The platform deploys AI agents that run complete financial processes autonomously with human review in the loop.
Differentiator
Problem solved
Functional benefit
Products and services
- Safebooks AI Platform The agentic financial data platform that connects to ERPs, CRMs, billing systems, and banking feeds, normalizing data into a unified Financial Data Graph and powering AI agents that run financial processes end to end with full audit traceability. Targeted at enterprise finance teams.
- Agentic Revenue Integrity (ARI) AI-driven platform that automates revenue data monitoring and reconciliation for enterprise finance teams, validating documents across CRM, ERP, and billing systems, catching discrepancies in real time, and auto-remediating errors without manual intervention.
- Agentic Financial Close Automates the financial close process end to end for enterprise controllers, running reconciliation, workpaper generation, journal entries, variance analysis, and close orchestration continuously rather than only at month-end.
- Order to Cash (O2C) Automates Order to Cash reconciliation across CRM, billing, ERP, and payment systems, validating contract terms against billing setups, matching payments to invoices, and flagging discrepancies in real time.
- Procure to Pay (P2P) Automates procure-to-pay workflows including 3-way invoice matching, vendor reconciliation, and duplicate payment prevention across entities and payment methods.
- Cash Application Automatically matches incoming payments to open invoices, handles bundled payments and partial settlements, and applies cash with minimal manual intervention.
- Automated Journal Entries Drafts journal entries from source data (accruals, reclassifications, intercompany, payroll), calculates amounts, builds debit/credit lines, and queues for posting with human review in the loop.
- AI Powered Flux Analysis Identifies and explains period-over-period variances automatically, providing balance change drivers, breakdowns, and trend analysis with supporting data attached.
- AWS Marketplace Reconciliation Automates reconciliation of AWS Marketplace transactions including fee netting, payment remittance, and marketplace fee opacity handling.
- Payroll Reconciliation Automates payroll accrual validation, reconciles payroll records across HRIS and ERP, and drafts payroll-related journal entries automatically.
Quantifiable outcome
- Over $40 billion in financial transactions monitored since platform launch
- +6 more outcomes
Companies that use Safebooks AI
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles2 records
Safebooks AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration9 records
AI capability8 records
Feature4 records
Safebooks AI partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- OktacorePartnership for identity and access management. Okta provides Single Sign-On (SSO) integration connecting with company directory systems, supporting both Okta and Google Workspace. Also provides granular permissions for role-based access control across teams.
Scale indicators5 records
Recent moves6 records
Expansion highlights5 records
Safebooks AI competitors and assessment
Company assessmentDirect peers
- BlackLine: BlackLine is the established leader in cloud financial close automation, serving CFOs and controllers at large enterprises with account reconciliation, intercompany accounting, and close management. It directly overlaps with Safebooks' core financial close and reconciliation wedge, though BlackLine lacks Safebooks' agentic AI and Financial Data Graph capabilities.
- FloQast: FloQast provides close management and accounting workflow automation software used by mid-market and enterprise controllers. It targets the same finance close buyer with similar automation outcomes, making it a head-to-head competitor for Safebooks' Agentic Financial Close module.
- Workiva: Workiva is a leading platform for SOX compliance, financial reporting, and audit-ready connected data, deeply embedded in public-company finance functions. It overlaps with Safebooks on the compliance/audit side and competes for the same controller/CFO budget on regulatory use cases.
- OneStream: OneStream offers a unified corporate performance management (CPM) platform for financial close, consolidation, reporting, and planning used by large enterprises. It competes for the same CFO/COntroller seat and overlaps on close automation, financial reporting, and reconciliation workflows.
- HighRadius: HighRadius provides AI-powered order-to-cash, treasury, and record-to-report automation for enterprises. Its O2C and autonomous receivables capabilities directly compete with Safebooks' O2C and Cash Application modules and share the same agentic AI positioning for finance.
- Auditoria.AI: Auditoria.AI applies AI agents to finance and accounting workflows including vendor management, AR, and close. It targets similar enterprise finance personas with agentic automation, making it a close comparably-sized peer to Safebooks.
Emerging players
- Trovata: Trovata is a fintech automating cash management, bank reconciliation, and treasury workflows via direct bank API connections. It overlaps with Safebooks on bank-to-GL reconciliation and cash application, though its treasury focus is narrower than Safebooks' broader finance ops wedge.
Broad incumbents
- Ramp: Ramp is a corporate card and spend management platform that has expanded into broader finance automation including bill pay, vendor management, and accounting integrations. It targets the same finance teams but from a spend-management wedge and with a much larger scale and customer base.
- NetSuite (Oracle): NetSuite is a leading cloud ERP used by mid-market and enterprise finance teams, and Safebooks integrates natively with it. NetSuite could choose to natively embed agentic reconciliation and revenue integrity features, representing both a partner and competitive threat to Safebooks.
- Workday: Workday is a major enterprise cloud platform for finance and HR, integrated by Safebooks for payroll reconciliation and HRIS data. Like NetSuite/Oracle, Workday could move into agentic finance workflows that overlap with Safebooks' reconciliation and close offerings.
Market position
Weaknesses1 record
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Safebooks AI social profiles
Digital presenceSafebooks AI compliance and trust
Trust signalCompliance4 records
Safebooks AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Safebooks AI leadership team
Management profileNumber of profiles
Profiles2 records
Safebooks AI funding detail
Funding detailFunding overview
Funding rounds2 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Safebooks AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Safebooks AI
What does Safebooks AI do?
Safebooks AI builds an agentic financial data platform that connects enterprise ERP, CRM, billing, banking, HRIS, and source-document systems, normalizing them into a proprietary Financial Data Graph. AI agents then run quote-to-revenue, order-to-cash, procure-to-pay, payroll, and financial close processes end to end, with continuous reconciliation, real-time validation, policy enforcement, anomaly detection, and automated workpapers.
Is Safebooks AI a public or private company?
Safebooks AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Safebooks AI founded?
Safebooks AI was founded in 2023. It employs 11 to 50 people.
Where is Safebooks AI based?
Safebooks AI is headquartered in Wilmington, United States, in the North America region.
How does Safebooks AI make money?
One revenue line is on record: platform/SaaS Subscription.
Who are Safebooks AI's main competitors?
Direct peers on record are BlackLine, FloQast, Workiva, OneStream, HighRadius and Auditoria.AI. Trovata is listed as an emerging player. Broad incumbents are Ramp, NetSuite (Oracle) and Workday.
Does Safebooks AI have an API?
No public API is recorded for Safebooks AI.
What industry is Safebooks AI in?
Safebooks AI's product category is Financial Data Governance Platform. Its primary akta.pro industry code is HDAEANAE, Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies), with a secondary code of HDAAAMAE, Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001). Its NAICS code is 513210 and its SIC code is 7372.