Credal (Secure Enterprise AI) Dossier

Operating within the B2B SaaS enterprise space, Credal (Secure Enterprise AI) generated .5M in 2025 revenue. The core revenue driver for Credal (Secure Enterprise AI) originates from customized enterprise plan tiers scaled by data sources, integrations, usage, and user counts.

Financial Highlights

* Revenue: Generated .5M for the 2025 fiscal period.

* Total Funding: Accumulated total funding of .3M.

* Net Revenue Retention: Reached a net revenue retention rate of 170 percent.

* Customer Retention: Reported zero churn across the enterprise client base.

* Contract Value: Secured multiple 6-figure contracts within highly regulated industries.

* Employee Count: Maintained a headcount of 17 personnel based on operational metrics.

* Establishment Year: Founded in 2022 to address the enterprise AI security sector.

Credal (Secure Enterprise AI) targets enterprise customers across various sectors, securing notable clients including MongoDB, Wise, Comcast NBC Universal, and the U.S. Department of Health and Human Services. The operational focus of Credal... Sign in / Sign up to learn more about Credal.ai

Continue your research by chatting with our AI financial analyst about Credal.ai. Ask follow-up questions, request specific analysis, or explore investment scenarios. All insights are grounded in verified financial data and SEC filings.

Start your analysis with these investor-focused questions:

• Given Credal (Secure Enterprise AI)'s impressive 170% Net Revenue Retention and zero churn, how should investors evaluate the sustainability of its FY2025 financial performance as it scales its operations with a lean team?
• How does the customized, usage-based B2B SaaS pricing model of Credal (Secure Enterprise AI) position the firm to capture value from prominent enterprise clients like MongoDB and HHS, and what are the implications for its FY2025 revenue predictability?
• Against competitive threats from established cybersecurity giants like Palo Alto Networks and specialized peers like GuardionAI, how defensible is Credal (Secure Enterprise AI)'s technological moat built around real-time permission syncing and multi-agent workflows?
• Considering the significant traction Credal (Secure Enterprise AI) has gained in securing six-figure enterprise contracts in regulated industries, what strategic R&D initiatives are most critical to expanding its multi-agent collaboration pipeline and driving FY2025 market share growth?
• How effectively can Credal (Secure Enterprise AI) leverage its native compliance features, such as PII redaction and policy-based access controls, to mitigate substantial regulatory risks from the EU AI Act without compressing its operating margins?