Tyxo.ai

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paid • From Contact

Updated Aug 2026

Tyxo.ai is an AI research assistant built specifically for European scientists tackling classification problems on tabular data — genomics, clinical biomarkers, sensor streams, geoscience, and similar domains where the bottleneck is rarely the science and almost always the ML plumbing. Instead of asking researchers to spin up a data team, wire together notebooks, and negotiate compliance with their DPO, Tyxo collapses the workflow into upload, train, classify. You bring a labeled dataset, Tyxo trains predictive models against it, and you get back classifications plus an audit trail formatted for EU AI Act and GDPR documentation requirements. The platform is EU-hosted end to end, with no transatlantic data transfers and no US-cloud dependencies, which matters for grant-funded labs, hospitals, and public-sector teams whose data governance forbids shipping samples through American infrastructure. Under the hood it runs on AltiCore's compiled inference stack, which the team uses to deliver results at a fraction of the cost and latency of conventional ML platforms — making it realistic for individual researchers and small labs, not just well-funded enterprises. The headline differentiator is the combination: most no-code ML tools are either US-hosted with bolt-on compliance, or European but generic productivity tools without a real audit trail. Tyxo is GDPR-native from the ground up, with the audit log, lineage, and documentation outputs European regulators are starting to ask for built in rather than retrofitted.