Established MMXXIV

Medical imaging, made differentiable.

We build embedded AI segmentation SDKs that medical-imaging OEMs license and ship inside their own viewers and planning suites — production C++ that runs in-process on the workstation GPU, with no cloud, no service to operate, and a regulatory dossier that plugs into your file.

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Mathematical Precision • Engineering Rigor

  • For medical-imaging OEMs

    Embed segmentation. Skip years of build.

    License a binary C++ SDK that runs in-process in your viewer or planning suite — a library in your binary, not a service to run. We deliver the segmentation engine and the component-level regulatory dossier; you carry the product and the clinical claim.

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  • For investors

    A specialist company with a beachhead and a horizon.

    A specialist company with a beachhead in CBCT image segmentation — dental today, more CBCT anatomies next — and a long-running focus on the foundations of medical-imaging segmentation that predates the current deep-learning wave. European AI company headquartered in Italy, senior engineering team, B2B2C SDK economics — building the kind of imaging-AI company that scales by partnership, not by patient throughput.

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  • For clinical partners and KOLs

    Imaging engineers who take provenance seriously.

    Validation studies, dataset licensing, and clinical-advisor relationships, on retrospective anonymised data, on terms that respect the clinic's role and the patient's privacy.

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Today's product

More than 70 classes of dental CBCT segmentation, embedded.

Today the product is CBCT image segmentation, beginning with more than 70 classes of dental cone-beam CT. As the catalogue grows, the same SDK foundation extends to adjacent CBCT anatomies, while our work stays on the foundations of medical-imaging segmentation. Segmentation only; clinical interpretation is the OEM's and the clinician's responsibility.

  • Runs in-process in your binary — no container, no local service, no cloud round-trip. A full clinical CBCT in less than a minute of inference on a single, modest workstation GPU (RTX A4000) — no high-end card, no separate server or GPU cluster, and faster still on newer hardware.

  • Production C++ binary SDK for Windows and Linux.

  • Fully encapsulated public API. No third-party headers in your build.

  • Regulatory dossier package (SOUP, model card, validation summary, IFU template) that plugs into your CE MDR or FDA 510(k) technical file.

  • Model IP protected: encrypted, licence-bound model artifacts, and a security posture assessed against IEC 62443, ISO/IEC 27001, and the EU Cyber Resilience Act.

  • Reproducible by policy: every shipped model is uniquely versioned and traceable to a sealed, quality-gated training run.

Built for OEM economics, not for research demos.

  • From first principles.

    PhD-level applied mathematics on the inside, a clean binary on the outside. We work from the mathematics of medical volumes — geometry, numerical analysis, optimisation theory — up to the C++ that ships in the customer's installer. We do not glue libraries together and hope.

  • Regulatory leverage.

    Our component-level dossier package drops into the OEM's CE MDR or FDA 510(k) file. We deliver the software-component documentation; the OEM carries the clinical claim. We are a component vendor, not a finished-device manufacturer — and we engineer accordingly.

  • No surprises in the customer's binary.

    Embedded utility dependencies, encapsulated public API, signed Windows installers, reproducible Linux builds. The only thing the customer sees is a stable C++ contract and a sealed model artifact.

Beyond the SDK

Partnerships for complex AI/ML problems and critical system software.

For a small number of organisations that need the same depth of engineering that built the SDK — applied to a problem of their own — we open a focused partnership track. Senior team only, narrow scope, deliverables we ship rather than slides we present.

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Build medical imaging hardware or planning software?

If you are tired of evaluating research notebooks dressed up as products, we should talk.

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