Validio raises $30M Series A to fix enterprise data quality for the AI era
- Validio, the enterprise data management platform ensuring business-critical data is reliable, has seen rapid growth with its ARR increasing by 800% during the last 12 months alone, as demand for AI-ready data accelerates
- Fortune 500 companies and industry leaders in banking, manufacturing, telco, and software, including Nordea, Deutsche Glasfaser, and Canva, rely on Validio’s agentic data management platform to ensure trust in their data for analytics and AI
- New funding will be used to scale go-to-market across the US, UK and Northern Europe, continue product development and expand its team with top-tier talent
05 March 2026, Stockholm: Validio, the agentic enterprise data management platform, has raised $30 million in Series A funding led by Plural. Previous investors and angels such as Lakestar, J12, Kevin Ryan (MongoDB), Denise Persson (Snowflake), and Emil Eifrem (Neo4J) also participated in the round. The round brings Validio’s total funding to $47 million and will be used to further scale go-to-market across the US and Europe and continue development of its agentic data management platform.
From ‘garbage in, garbage out’ to ‘garbage in, disaster out’
While enterprises are racing to deploy AI, most pilots never reach production because the underlying data isn’t good enough. Gartner states that data quality and availability are the number one obstacle to implementing AI, whilst a recent MIT study found that 95% of AI projects never reach production. In banking, regulations like BCBS 239 have required high-quality reporting data since 2013, yet more than a decade later, fewer than 10% of banks are compliant. Large language models are already delivering productivity improvements, but their greater potential for the industry will come from combining them with high-quality, trusted enterprise data. Therefore, the frontrunners of tomorrow will be the ones with proper data management in place for high-quality data.
Legacy data management tools weren’t built for this reality. Many enterprises still rely on manual, rules-based approaches, requiring large teams to write and maintain tens of thousands of static checks. These systems are slow to deploy, costly to maintain and fundamentally incapable of keeping pace with AI-driven operations.
Validio was created to solve this problem. Enterprises across data-driven and highly regulated industries like financial services, manufacturing, and telco, such as Nordea, Canva, Deutsche Glasfaser, Truecaller, Surfshark, Walden and AllianceBernstein, rely on Validio to ensure data reliability and quality.
Patrik Liu Tran, CEO & Founder at Validio, said: "Most enterprises cannot even trust their data for reporting and analytics, and they are now trying to leverage their data for AI. In the old days, we used to say 'garbage in, garbage out'. In the AI era, everything is magnified: now it’s 'garbage in, disaster out’. It is simply not surprising that more than 95% of AI initiatives never reach production. The fastest way for enterprises to become truly data-driven and implement AI is to fix their data foundation with carefully curated and quality-assured data. We’ve built Validio to be the platform to help enterprises do just that, and we’re excited to partner with Plural as we scale globally.”
Treating data as a business-critical asset
Before founding Validio in 2019, CEO Patrik Liu Tran advised some of the leading enterprises of the world on their AI and data strategies. He consistently saw how bad data was preventing AI projects from being pushed into production, despite strong commitments. The complexity of ensuring high-quality data requires more than ad-hoc monitoring or in-house solutions; it instead demands an enterprise-grade platform built for scale.
Validio’s agentic platform deploys in minutes and autonomously detects and resolves data quality issues across billions of records. Its unique approach replaces thousands of brittle, manual rules with automated monitoring, anomaly detection, and comprehensive data lineage and cataloguing to give enterprises complete visibility and control over their data. Customers report that issues which previously went unnoticed until end-of-month reporting are now detected in minutes, reducing manual investigation time by up to 95%. In one case, data lineage that previously took eight months to configure was operational within a single day. Unlike traditional observability tools built for engineering teams, Validio is designed for cross-functional use, enabling business and technical leaders to collaborate, resolve issues at source and treat data as the business-critical asset it has become.
In the past 12 months alone, Validio has grown its annual recurring revenue by 800% as a result of the increased demand for enterprise data trust, helping customers to meet regulatory requirements, build trusted analytics and unlock the full potential of AI.
Pierre-Dimitri Gore-Coty, partner at Plural, said: “Patrik has seen first-hand how poor data quality keeps the world’s largest enterprises from turning AI ambition into production reality. He’s an intensely driven founder and, through his relentless ambition and energy, has built what I believe is a genuinely best-in-class platform for enterprise data reliability. I look forward to supporting Validio as they scale globally and strengthen their position as a category leader in enterprise data management.”
Denise Persson, Validio investor, said: “Data quality is no longer a nice-to-have — it’s mission-critical for AI success. Validio tackles the data trust challenge head-on with an AI-powered quality and lineage platform for all types of data, AI and agentic workloads. I’m excited to back Validio in their global expansion.”
Kevin Ryan, Founder of MongoDB and Validio investor, said: “The gap between AI ambition and AI execution comes down to the trust in data. Validio has built a platform that solves this at enterprise scale, and I’m happy to support their continued growth.”
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