Okuant's institutional credibility test: can algorithmic valuation underwrite European real estate at scale?

50,000 valuations a day, yet institutional trust remains the real bottleneck

Okuant processes 50,000 automated property valuations every day, drawing on a Big Data platform with more than 26 million market references spanning 14,000-plus properties and over €1.2 billion in managed investments, according to data the company presented at Mipim in March 2026. Those are formidable throughput numbers for an algorithmic valuation platform operating across European markets. They also raise a pointed question that institutional allocators, fund managers, and cross-border investors are clearly trying to answer: does operational scale translate into the institutional-grade credibility required to underwrite portfolios worth hundreds of millions of euros?

The question matters because the global valuation advisory market is projected to expand from approximately USD 12.8 billion in 2024 to USD 21.7 billion by 2033, according to the Global Valuation Advisory Market Report, driven in part by the adoption of automated valuation models (AVMs) and rising ESG disclosure requirements. Algorithmic platforms like Okuant sit at the centre of this expansion. Yet the European institutional real estate community, as observed in discussions among GRI Institute members and at recent GRI gatherings focused on capital deployment across the continent, continues to treat algorithmic valuation with cautious interest rather than wholesale adoption.

How does Okuant's model compare to traditional valuation infrastructure?

Traditional valuation in European commercial real estate remains dominated by global advisory firms whose appraisal desks benefit from decades of institutional mandate history, recognised surveyor credentials, and deep integration into the lending and transaction ecosystem. Exact market share figures comparing Okuant's algorithmic output to the valuation volumes of these established players are not publicly available. This data gap is itself revealing: the market lacks a transparent, standardised benchmark for measuring algorithmic valuation penetration against conventional appraisal activity.

What is clear is that Okuant's value proposition centres on velocity and data density. A platform capable of 50,000 daily valuations across a reference dataset of 26 million data points operates at a fundamentally different tempo than a traditional appraisal process, which typically requires weeks per asset and relies on comparable transaction analysis conducted by individual chartered surveyors. Algorithmic valuation approaches have demonstrated significantly greater accuracy for certain asset classes in controlled studies, according to a February 2025 paper from the U.S. Federal Reserve, lending empirical weight to the thesis that AVMs can complement, and in some segments potentially replace, manual appraisal workflows.

The competitive landscape also includes other proptech valuation platforms such as PriceHubble and Hypoport, each pursuing distinct segments of the European market. Okuant differentiates through its focus on institutional portfolio-level valuation rather than residential mortgage pricing, positioning it closer to the mandates typically held by large advisory firms. Verified data on specific institutional mandates won by Okuant in 2025 or 2026, however, remains limited to the company's own portfolio claims. For institutional investors conducting due diligence, the absence of independently verifiable mandate disclosures represents a material information gap.

What regulatory frameworks will shape algorithmic valuation in Europe?

Two regulatory architectures are converging to define the compliance environment for platforms like Okuant.

The EU AI Act, the world's first comprehensive regulation of artificial intelligence, is progressively coming into effect as of 2026. It employs a risk-based framework under which algorithmic risk assessments and automated property valuation models in real estate may face increased compliance obligations, liability risks, and documentation requirements if classified as high-risk applications. For any AVM provider operating at institutional scale across multiple European jurisdictions, the AI Act introduces a new layer of regulatory overhead that will demand transparent model documentation, bias auditing, and human oversight mechanisms.

Simultaneously, the Alternative Investment Fund Managers Directive (AIFMD) continues to mandate that authorised AIFMs maintain appropriate and consistent procedures for proper and independent asset valuation, ensuring functional independence from portfolio management. This directive creates a structural demand for third-party or technologically independent valuation processes, which in theory benefits platforms like Okuant that can demonstrate separation between their valuation engine and any portfolio advisory function.

Adding further definition, the Royal Institution of Chartered Surveyors (RICS) is expected to publish its first global practice guidance on artificial intelligence in real estate valuation in late 2026, according to RICS. This guidance will establish a professional framework for AI use in valuation, potentially creating the credentialing pathway that algorithmic platforms need to achieve parity with traditional surveyor-led appraisals in institutional procurement processes.

The regulatory trajectory favours platforms that can demonstrate compliance readiness. Any algorithmic valuation provider that secures early alignment with both the EU AI Act's documentation requirements and forthcoming RICS guidance will hold a significant competitive advantage in winning institutional mandates across European markets.

Institutional capital is moving, and it demands verifiable valuation infrastructure

The institutional investors actively deploying capital into European real estate provide the clearest demand signal for robust valuation capabilities.

Greykite's debut opportunistic real estate fund, Greykite European Real Estate Fund I, reached $1.4 billion at its second close in September 2025, according to PERE. The firm, alongside StepStone Real Estate, also agreed to recapitalise Vitalia, Spain's second-largest care home operator, in a landmark transaction announced in October 2025 via GlobeNewswire. Transactions of this complexity and scale require valuation processes that satisfy both lender requirements and LP due diligence standards.

In Italy, Namira SGR, an independent real estate fund manager, acquired a newly developed 30,500 square metre Grade A logistics asset in Caorso from Barings in March 2025, according to Institutional Real Estate, Inc. Cross-border logistics acquisitions involving institutional counterparties on both sides of the transaction exemplify the deal structures where valuation independence, speed, and regulatory compliance intersect.

These capital flows illustrate the scale of institutional activity that valuation platforms must credibly serve. European commercial real estate transaction volume reached €254 billion in 2023, according to the European Central Bank, a figure that, while dated, establishes the baseline demand for valuation services across the continent. Updated consolidated figures for 2025 and 2026 have yet to be published by the ECB, but market sentiment observed at GRI Institute events across London, Madrid, and Milan suggests that transaction volumes have recovered meaningfully from the interest rate-driven compression of 2023 and early 2024.

The credibility gap: where Okuant must deliver verifiable evidence

Okuant's operational metrics, including its €1.2 billion in managed investments, 14,000-plus properties, and 26 million reference data points, establish a platform of meaningful scale. The critical next step for institutional adoption involves closing several specific credibility gaps.

First, regulatory licensing transparency. Okuant's exact regulatory standing under specific European financial authorities has not been independently verified in publicly available sources. As the EU AI Act's high-risk classification framework takes effect, platforms that proactively disclose their compliance architecture will differentiate themselves from those that rely on self-reported metrics alone.

Second, mandate disclosure. The institutional real estate market operates on verifiable track records. Fund managers, pension funds, and sovereign wealth funds allocating capital across European jurisdictions expect valuation counterparties to disclose specific mandates, asset types valued, and the institutional principals served. Okuant's current public disclosures centre on aggregate portfolio figures rather than named institutional relationships.

Third, independent accuracy benchmarking. The U.S. Federal Reserve's February 2025 research supports the thesis that algorithmic models can outperform traditional approaches for certain asset classes. Translating that academic finding into commercial credibility requires Okuant to submit its models to independent back-testing against realised transaction prices across European markets, with results published or audited by a recognised third party.

The algorithmic valuation sector in Europe is approaching an inflection point. The regulatory infrastructure is materialising through the EU AI Act and forthcoming RICS guidance. Institutional capital is flowing at scale through vehicles like Greykite's $1.4 billion fund. The global valuation advisory market is on a trajectory toward USD 21.7 billion by 2033. Platforms that convert operational throughput into independently verifiable institutional credibility will capture a disproportionate share of this expanding market.

Okuant possesses the technological foundation. The market is now waiting for the evidentiary layer that transforms a data platform into a trusted institutional counterparty.

GRI Institute convenes senior leaders across European real estate and infrastructure to examine the capital allocation, regulatory, and technology trends shaping the sector. Algorithmic valuation and its institutional adoption remain a recurring focus in the Institute's cross-border dialogues.