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TensorX raises $10M to build privacy-native AI for Europe

Dublin-based startup offers GDPR-compliant AI inference on NVIDIA Blackwell GPUs with zero data retention, reaching $5M revenue and 5,000+ customers in first year.

TensorX raises $10M to build privacy-native AI for Europe

TensorX announced this week it has pulled together $10 million in seed capital to build what it calls the first truly GDPR-hardened AI inference platform—one where customer data never crosses the Atlantic and every query gets wiped from memory the moment it's processed. The Dublin outfit, founded in 2025, claims it has already logged $5 million in revenue and signed up more than 5,000 paying customers, a growth curve that would be remarkable if the numbers hold up under scrutiny.

The October 8 disclosure revealed cumulative seed funding to date, clarifying an earlier €8 million round announced in June. Both tranches came from Darius Cubed Ventures, a family office controlled by TensorX founder Shane Morton—an arrangement that raises eyebrows in venture circles, though not uncommon when a founder with exits under his belt decides to bankroll his own next act. Morton previously built and sold trading software and runs ICT Services, an Irish data-center operator, according to ThinkBusiness. The majority of the fresh capital is earmarked for GPU procurement through Dell.

What TensorX is selling, essentially, is insurance against regulatory headaches. The company runs over 50 open-source language models—DeepSeek, Qwen, Moonshot Kimi among them—on NVIDIA's latest B300 GPUs housed exclusively in Ireland and Finland. No data retention, no U.S. cloud hops, and an OpenAI-compatible API that supposedly lets developers swap out their existing provider "in a single line of code." The startup says it processed 1.1 trillion tokens in September, a 171-fold jump since February, and now handles as many as 34.5 million API requests each month. Whether that pace continues is anyone's guess.

Tim Grant took over as CEO on October 8, 2026, after joining as executive chairman at launch. His résumé reads like a tour through the higher altitudes of finance and digital assets: managing director at UBS, research chief at R3, CEO of SIX Digital Exchange, head of Galaxy Digital Europe. He also chairs APEX:E3 and TradeLocker, two firms TensorX counts as customers—a tidy overlap that underscores how tight-knit the European fintech world remains. Craig Donnelly, who co-founded the company with Morton, serves as CTO. The team now numbers around 20, the company said.

The technical setup is straightforward but capital-intensive. TensorX operates 96 B300 GPUs in production in Ireland, with another 96 on standby in Finland, and says it's finalizing orders for a substantial fleet expansion. Dell supplies the hardware; NVIDIA's Inception program provides startup support. The company also routes developer demand through OpenRouter, a platform that aggregates access to AI models, a distribution channel that may have accelerated early customer acquisition. TensorX's documentation claims ISO 27001 alignment and positions the service as compliant with the EU AI Act, which only recently took effect in stages.

The pitch lands hardest with regulated industries. Usman Khan, CEO of APEX:E3, said in the company's October release that TensorX "turbo charged the output of our development team" and called it "the only platform we trust with our most sensitive data." Other named customers include TradeLocker and Cor Prime, both financial services players where data sovereignty isn't just a compliance checkbox but a boardroom-level concern.

Digital illustration for article section "Content Section 2" in "TensorX raises $10M to build privacy-native AI for Europe" - A clean, minimalist illustration of a vibrant, stylized upward-pointing arrow bursting energetically...

TensorX isn't alone in this corner of the market. Scaleway Managed Inference, backed by French cloud giant Iliad, bills itself as "the first European inference product" and offers bring-your-own-model options. OVHcloud runs more than 40 models and in June announced partnerships aimed squarely at sovereign AI delivery. Nebius, another EU-hosted provider, teamed up with Palantir in September to roll out what the companies called "a complete sovereign AI stack." The competitive landscape is getting crowded, and fast.

The broader tailwinds look favorable, at least on paper. Gartner projected worldwide sovereign cloud infrastructure spending would hit $80 billion in 2026, with Europe poised to overtake North America the following year, according to a forecast released in February. An Accenture survey from late 2025 found 62 percent of European organizations hunting for sovereign solutions, a figure that climbed to 76 percent in banking. Whether that translates into sustained revenue for upstarts like TensorX depends on how quickly enterprises move past proof-of-concept projects and commit to production workloads.

"Progressive businesses are building real AI powered applications right now," Grant said in the October statement, adding that "they also need control over where their data is processed." The company is expanding to Frankfurt, with that deployment already underway as of October. GPU capacity, headcount, and infrastructure buildout are the near-term priorities, he said—a familiar refrain for any infrastructure play racing to capture market share before the window narrows.

Digital illustration for article section "Content Section 3" in "TensorX raises $10M to build privacy-native AI for Europe" - A conceptual illustration symbolizing progressive businesses building AI applications and maintainin...

The Dublin headquarters situates TensorX in a city that has become a hub for U.S. tech companies seeking EU footholds, though the startup's bet is that European firms will increasingly prefer homegrown alternatives. Morton's dual role as founder and lead investor tightens the feedback loop between strategy and capital allocation, for better or worse. If the customer growth holds and the GPU expansion pencils out, the company may find itself well positioned as enterprises rethink where their most sensitive workloads run. If the numbers soften or the regulatory landscape shifts, the tight-knit funding structure could leave less room to maneuver.

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