Codeego's AI Aims to Turn Software From a Cost Into a Certified Asset

LONDON, UK – June 29, 2026 – For decades, the C-suite has grappled with a fundamental paradox: software has become the engine of modern enterprise, yet it remains an accounting black hole, largely treated as a cost to be managed rather than a core asset to be valued. A UK-based firm, Codeego, launched a new service today that aims to definitively solve this problem, creating what it calls a new category of "Certified Software Valuation."

The company's AI-powered platform promises to deliver an independent technical and economic valuation of a software codebase in under 20 minutes. This isn't just about finding bugs; it’s about generating a certified report detailing a codebase's financial worth, maturity, and operational risk, effectively giving CFOs, investors, and regulators a balance-sheet-ready view of what was previously an intangible asset.

From Cost Center to Crown Jewel

The traditional approach to understanding software value, particularly during M&A, has been notoriously cumbersome. Technical due diligence is a manual, expert-led process that can take four to six weeks and cost anywhere from £30,000 to £80,000. This bottleneck slows down deals and often produces a static report that quickly becomes outdated. Codeego is making a direct play to disrupt this model, offering its reports starting at a startlingly low £99.

For investors, the implications are significant. Instead of relying on high-level presentations and expensive, time-consuming audits, a private equity firm could, in theory, screen multiple potential acquisitions in a single afternoon. The platform offers a rapid, evidence-based method to compare the underlying quality and risk of different software assets, moving capital allocation decisions from educated guesswork to data-driven validation.

This shift re-frames software from a line item in the IT budget to a quantifiable asset. A certified valuation allows a CFO to treat their company's proprietary code as a tangible part of its worth, impacting everything from corporate valuation and securing financing to IP disputes and insurance. It provides a common language that can bridge the chronic divide between the engineering floor and the boardroom, translating complex technical metrics into the language of business: value, risk, and readiness.

The AI Auditor You Can Actually Trust

In an era of AI hype, claims of disruption are common, but Codeego's approach appears deliberately grounded to address enterprise skepticism. The company is positioning its technology not as a magical black box, but as a transparent and auditable "AI Auditor." The key is its hybrid methodology, which combines two distinct layers.

First, a deterministic code analysis engine performs a measurable and, crucially, reproducible scan of the codebase. This layer produces verifiable evidence based on user-selected frameworks, ensuring that the same code will always produce the same raw output. This addresses a major frustration with many generative AI tools, whose outputs can be inconsistent and difficult to trace.

Second, an AI reasoning layer interprets this hard evidence, much as a human expert would, to assess factors like maintainability, security posture, and production readiness. "The deterministic layer is preserved intact, so every conclusion is traceable to verifiable evidence rather than the opinion of a model," the company states. This traceability is the cornerstone of its claim to be a "Trusted Third Party."

Security and confidentiality, often the biggest barriers to adopting cloud-based code analysis, are addressed through a zero-trust architecture. The platform can be deployed on-premise or in the cloud, and for highly sensitive assets, it utilizes Trusted Execution Environments (TEEs)—secure hardware enclaves that ensure even Codeego's own engineers cannot access the code or its intermediate analysis. Evidence is then sealed and timestamped using Qualified Trust Service Provider (QTSP) services, providing a legally defensible chain of custody.

“AI is changing how software is built, but organisations still need to know what it is worth and what risk it carries," says Saioa Echebarria, President of Codeego. "Codeego makes software value visible, measurable and certifiable, with the independence of a Trusted Third Party: software is no longer just an engineering concern but, in many cases, the core value of the organisation.”

A Compass for the Regulatory Minefield

The timing of Codeego's launch is no accident. It arrives as European and global organizations are scrambling to comply with a tidal wave of technology-focused regulation. The Digital Operational Resilience Act (DORA), the NIS2 Directive, and the EU AI Act are no longer distant threats; they are active compliance mandates that place unprecedented scrutiny on how organizations build, manage, and secure their software assets.

DORA, for instance, requires financial institutions to have robust ICT risk management frameworks and conduct regular resilience testing. An independent, certified valuation of critical software provides exactly the kind of auditable evidence that regulators demand. Similarly, the NIS2 Directive expands cybersecurity obligations across more sectors and emphasizes supply chain security, making a tool that can quickly assess the risk in third-party code invaluable.

Perhaps most timely is the platform's relevance to the EU AI Act. As the Act's phased implementation begins, providers of AI systems face strict requirements for transparency, traceability, and risk management. Codeego's deterministic-first approach provides a mechanism to validate the underlying software quality and governance of AI-powered applications, helping companies build the case for compliance. By turning abstract code into a concrete report on value and risk, the service acts as a practical tool for navigating this complex legal landscape.

Unifying a Fragmented Market

By combining technical analysis with economic valuation and regulatory alignment, Codeego is effectively creating a new, unified layer of software assurance. It consolidates functions that were previously siloed across different departments and handled by a patchwork of tools and expensive consultants.

For procurement teams, it offers a way to verify that a software delivery matches the contract specifications. For legal departments, it provides a qualified method for preserving and valuing intellectual property. In the public sector, it can be used to ensure accountability for taxpayer-funded software projects. The platform's ability to generate a single, comprehensive report on a software asset's health, risk, and value serves as a Rosetta Stone for diverse stakeholders.

This unified approach aims to foster a culture of accountability around software development and management. When value and risk are made visible and measurable, they become manageable. By providing a fast, affordable, and trustworthy standard for software valuation, Codeego is not just launching a product; it is proposing a fundamental shift in how the digital economy accounts for its most critical assets.