Scaling Digital Heart Twins
PHYSICAL AI FOR CARDIOLOGY - We bypass slow, costly simulations to deliver sub-second cardiac twins directly to the bedside.

PHYSICAL AI FOR CARDIOLOGY - We bypass slow, costly simulations to deliver sub-second cardiac twins directly to the bedside.

Amine Chabane, Founder/CEO
Traditional high-fidelity multi-physics heart simulations remain too slow and costly. This prevents digital twins from reaching routine clinical diagnostics and large-scale digital clinical trials.
"Physics-informed AI models are only as powerful as the volume and fidelity of the simulation data used to train them."
Rather than trying to accelerate raw computing hardware, Spikitude solves this bottleneck at the data-generation layer to train robust, clinical-grade neural operator
By owning the entire pipeline from high-fidelity data generation to domain-specific neural architectures, we build a highly defensible advantage in speed, precision, and clinical utility
Powering our platform with active synthesis of gold-standard simulation datasets to eliminate the constraint of scarce clinical data
Specialized neural operators and World Models trained on superior data to guarantee absolute physiological consistency
Delivering sub-second, patient-specific predictive software directly to the bedside to assist clinicians in instant diagnostics
We turn the living physics of the heart into reliable, real-time intelligence through a rigorous five-stage process.
For more details, contact us.
For more details, contact us.
For more details, contact us.
For more details, contact us.
For more details, contact us.
We apply two decades of low-latency systems and semiconductor co-design experience to the demanding computational world of clinical physical modeling.

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