Irregular Secures $80M to Transform Enterprise AI and Data Security
October 1, 2025
byFenoms Startup Research
Irregular (formerly Pattern Labs), a rising force in enterprise AI and data infrastructure, has raised an impressive $80,000,000 to accelerate its mission of reshaping how organizations secure, analyze, and deploy data at scale. The round was backed by leading investors including Sequoia Capital, Redpoint, Swish Ventures, Assaf Rappaport, and Ofir Ehrlich.
At the helm of Irregular is Dan Lahav, who has built the company into one of the most promising players in the AI-driven enterprise technology sector. This raise marks a pivotal moment for both the company and the broader enterprise security and infrastructure market.
What Irregular Does
Irregular is developing solutions to protect and optimize data workflows in enterprise environments. By combining AI-driven insights with modern infrastructure, the company aims to help organizations detect vulnerabilities, ensure compliance, and streamline decision-making.
Key focus areas include:
- Data Security at Scale – Protecting sensitive enterprise data from breaches and misuse.
- AI-Driven Analysis – Leveraging machine learning to automate pattern recognition and anomaly detection.
- Compliance and Governance – Ensuring enterprises meet evolving regulatory demands with less manual effort.
- Scalable Infrastructure – Building systems that grow alongside global enterprises without slowing down performance.
By addressing both security and usability, Irregular positions itself as a partner for companies navigating digital transformation.
Why This Funding Matters Now
The funding comes at a crucial time. Enterprises are facing unprecedented challenges around data security, compliance, and infrastructure resilience.
- Cybercrime costs are projected to reach $13 trillion globally by 2030, more than doubling from 2023 levels (Cybersecurity Ventures).
- The global AI in security market is expected to surpass $133 billion by 2030, growing at a CAGR of 23.6% (Fortune Business Insights).
- Over 70% of enterprises say data fragmentation is slowing their AI adoption (McKinsey).
Irregular’s approach solves two of the biggest enterprise headaches: safeguarding data while making it actionable.
But here’s the lesson founders often overlook: in enterprise markets, credibility compounds faster than code. You can ship features, but enterprises don’t just adopt tools- they adopt trust. Once embedded into compliance workflows and board-level risk management, your product becomes nearly irreplaceable. That’s why the most enduring enterprise companies don’t just out-innovate competitors, they out-trust them.
This is the ultra value drop- if you’re building for enterprises, the moat isn’t just your algorithm, it’s the cost of being untrusted. A competitor can clone a feature, but they can’t clone years of risk-free operation, regulatory credibility, and proven resilience under pressure. Irregular’s $80M raise underscores this truth: funding in enterprise AI isn’t just to speed up product development, it’s to accelerate the credibility flywheel that makes customers lock in for a decade or more.
The Market Opportunity
The market Irregular is entering is vast and rapidly expanding:
- The global enterprise data management market is expected to reach $209 billion by 2030 (Grand View Research).
- Spending on cloud security exceeded $6.7 billion in 2024, with projections to nearly triple by 2030 (Gartner).
- With AI adoption accelerating, 90% of enterprise leaders rank data governance and compliance as top priorities (Deloitte).
Irregular’s sweet spot lies at the convergence of AI, security, and compliance, giving it a clear advantage in a market where CIOs and CISOs are demanding holistic solutions rather than siloed tools.
Who’s Behind Irregular?
Irregular’s success is anchored in the leadership of Dan Lahav, supported by a team of engineers and security experts with backgrounds in AI, enterprise infrastructure, and compliance systems. The company’s rebrand from Pattern Labs to Irregular reflects a sharpened focus on tackling the complex “irregularities” enterprises face in managing data securely.
Backing from Sequoia Capital and Redpoint- two firms with deep portfolios in enterprise and AI- underscores investor belief in Irregular’s ability to scale into a global category leader.
What’s Next for Irregular
With $80 million secured, Irregular plans to:
- Expand product capabilities, enhancing AI-driven security automation.
- Invest in global expansion, with targeted growth in the U.S., Europe, and APAC.
- Strengthen compliance-ready features, helping enterprises meet diverse regulatory standards.
- Grow its engineering and go-to-market teams, ensuring speed in product development and customer adoption.
Given that 61% of enterprises plan to increase spending on AI-driven security solutions in 2025 (IDC), Irregular is entering a market primed for adoption.
Conclusion
Irregular’s $80 million funding round highlights its position as a leader at the crossroads of AI, data security, and enterprise infrastructure. With world-class investors, a strong founding team, and a clear focus on solving some of the biggest challenges enterprises face today, the company is poised for global impact.
For founders, the key takeaway is clear: in enterprise technology, resilience and trust matter as much as innovation. Irregular is showing how focusing on those elements can secure not only customers but also the kind of investor backing that fuels long-term category leadership.