Seamflow raises £3.3m seed to speed medical-device certification using AI workflows
This article covers Seamflow, a London-based AI startup, which has raised £3.3m ($4.5m) in a seed funding round to build AI tools for the testing, inspection and certification (TIC) industry. The funding is intended to support development and deployment of its platform to help TIC organisations and regulated manufacturers organise documentation, coordinate reviews and reduce certification timelines.
Seamflow, a London-based AI startup, has raised £3.3m ($4.5m) in a seed funding round to build AI tools for the testing, inspection and certification (TIC) industry. The funding arrives as regulatory complexity and long certification timelines — particularly in medical devices — create bottlenecks for manufacturers and inspection bodies.
Why it matters
TIC organisations sit at the intersection of regulation, safety and market access: they audit facilities, review documentation and issue approvals that must be in place before products, infrastructure or facilities can operate. Increasing regulatory requirements and a shortage of qualified assessors have stretched those processes, leaving some medical devices waiting more than a year for certification in the EU.
If AI can reduce administrative workload and speed routine parts of reviews, it could cut time to market for regulated products and relieve pressure on notified bodies. For startups and larger manufacturers alike, shorter certification timelines can mean faster commercialisation and lower costs.
Inside the product
Seamflow’s platform applies machine learning to certification workflows to help TIC organisations organise documentation, coordinate reviews and manage auditor scheduling. The goal is to shift repetitive administrative work away from expert assessors so they can focus on substantive technical judgements. The company says this can materially reduce certification timelines; details on measured impact or independent validation were not disclosed in the announcement.
Early deployments began in the medical device sector, where documentation volumes and regulatory scrutiny are high. Seamflow has since expanded to address broader TIC operations, working with enterprise clients to deploy its platform across certification workflows at scale.
Who are the investors?
The seed round was co-led by venture firms Northzone and Initialized Capital. Participation came from Entrepreneur First and Nebular, plus angel investors including Charlie Songhurst and Mario Götze.
Northzone and Initialized are established venture backers in Europe and the US respectively. Entrepreneur First is a founder talent investor that often backs very early-stage teams. The investor group reflects a blend of institutional venture capital and strategic early-stage support aimed at scaling product and go-to-market efforts in regulated industries.
Investors cited the opportunity to apply AI to a large, fragmented industry where operational gains can translate into significant time and cost savings for certification workflows.
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Founder perspective
In the announcement, Konstantin Klingler, CEO and co-founder at Seamflow, said:
The TIC industry is essential to global safety and innovation, and it relies on highly skilled professionals. Our goal is to support those teams with AI that helps them manage growing complexity and demand, without compromising the trust and rigour the industry is built on.
The company says the seed will be used to grow its team, continue product development and expand deployments with testing, inspection and certification organisations globally.
The bigger picture
Seamflow’s raise sits at the intersection of two trends: investor appetite for AI applied to vertical, regulated workflows, and growing pressure on certification ecosystems across Europe. Improving throughput in certification could help device makers, infrastructure projects and other regulated industries move faster, but any automation must preserve the standards and trust that underpin regulatory systems.
As UK and EU regulators weigh both AI governance and ways to modernise compliance processes, startups that can demonstrate robust, auditable improvements to regulated workflows may attract further funding. For the TIC industry, incremental efficiency gains can have outsized effects on product availability and safety oversight across the region.
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