Calibre Raises $3.3 Million to Modernize the AI Backbone of Global Certification

Calibre a London-based startup focused on artificial intelligence for the testing, inspection, and certification (TIC) industry, has raised $3.3 million in pre-seed funding as it looks to modernize one of the least visible yet most critical layers of global commerce.

The round was led by Vicus Ventures and CIV, with participation from I2BF, 9 Yards Capital, Jigeum, and several angel investors including Nikesh Arora. According to the company, the funding will be used to expand its enterprise AI deployments and scale AuditorOS, a new platform designed specifically for auditors and certification professionals.

The startup is targeting a market that quietly underpins much of the global economy. Nearly every regulated product or system, from aerospace components and banking infrastructure to food supply chains and industrial equipment, must pass through testing and certification processes before reaching customers or regulators. The broader TIC industry represents roughly $200 billion in annual activity globally and employs more than one million people worldwide.

Why Certification Has Become a Bottleneck

Despite the industry’s importance, certification workflows remain heavily manual. Auditors and inspectors often spend significant amounts of time reviewing documentation, cross-checking standards, and generating reports rather than focusing on higher-level technical judgment.

That challenge is becoming more acute as regulatory complexity increases and experienced professionals retire from the workforce. At the same time, artificial intelligence itself is introducing new categories of products and systems that require additional oversight, governance, and certification.

Industry organizations have increasingly warned that trusted assurance systems will become even more important as AI adoption accelerates across sectors. Demand is rising for scalable verification systems capable of supporting AI governance, cybersecurity validation, and cross-border compliance.

Building AI Systems for Auditors

Calibre’s approach centers on deploying specialized AI agents inside enterprise TIC organizations. Rather than offering a general-purpose chatbot, the company says its systems are customized around each client’s specific standards, workflows, and security requirements.

Its newly announced AuditorOS platform is designed for independent auditors and inspection professionals. The software automates large portions of documentation review, report drafting, and standards cross-referencing, tasks that traditionally consume substantial manual effort during audits and certification reviews.

According to the company, early customers are already using the platform ahead of its planned public launch in June.

The broader opportunity extends beyond productivity gains. As certification requirements expand across AI systems, sustainability reporting, cybersecurity, and increasingly digitized supply chains, the TIC industry itself is undergoing a technological transformation. Multiple industry reports have pointed to rising demand for digital audit infrastructure, automation, and AI-assisted compliance systems capable of handling increasingly complex regulatory environments.

From Manual Certification to Continuous Compliance

Calibre was founded by Gautham and Steve, who previously spent several years at Palantir Technologies deploying enterprise AI systems across a wide range of industries.

Their work reflects a broader shift now emerging inside regulated industries. Historically, certification and compliance processes have relied heavily on manual reviews performed periodically by highly specialized experts. As products, software systems, and supply chains become more complex, that model is becoming increasingly difficult to scale.

AI-assisted auditing tools could eventually change how certification operates altogether. Instead of compliance being treated as a slow, document-heavy checkpoint performed every few months, future systems may move toward continuous monitoring and real-time verification. That could become especially important as AI systems themselves become embedded in critical infrastructure, manufacturing, healthcare, transportation, and financial services.

The implications extend beyond efficiency. If AI tools can reliably assist with standards interpretation, documentation analysis, and regulatory cross-referencing, they may help preserve institutional knowledge that is currently concentrated among aging specialists nearing retirement. At the same time, regulators and certification bodies will likely face new questions around transparency, accountability, and how AI-generated audit workflows should themselves be validated.

As governments and industries introduce new rules around artificial intelligence, cybersecurity, sustainability, and digital infrastructure, the demand for scalable trust and verification systems is expected to grow significantly over the next decade.