XenoBios develops AI Engines that model bioelectric fields at nanoscale resolution — enabling next-generation electroceuticals, brain-computer interfaces, and bioelectric medicine.
Model complex bioelectric phenomena at cellular and tissue scales with unprecedented accuracy and speed.
Neural networks trained on experimental data accelerate simulations 1000x while maintaining physical accuracy.
Seamlessly bridge molecular, cellular, tissue, and organ-level physics in a unified framework.
Predict electrode configurations and stimulation parameters for desired bioelectric outcomes.
Interactive 3D visualization of bioelectric fields and neural activity in real-time.
Enterprise-grade security and privacy for sensitive medical and research data.
Design and optimize electrical stimulation therapies for neurological disorders, chronic pain, and autoimmune conditions.
Engineer high-fidelity BCIs with precise neural recording and stimulation using bioelectric physics models.
Harness the electrical language of life to develop novel therapeutics targeting bioelectric dysfunction.
Intuitive Python and C++ interfaces. Run your first simulation in under 10 lines of code.
Optimized for NVIDIA GPUs with multi-GPU scaling. Simulate full organ fields in minutes.
Deploy on managed cloud, your infrastructure, or hybrid. HIPAA-compliant data handling.
Physics models validated against experimental data. FDA 510(k) pre-submission support.
import xenobios as xb
# Load patient tissue model
tissue = xb.TissueModel.from_mri("patient.nii")
# Configure electrodes
electrodes = xb.ElectrodeArray(
positions=[[0, 0, 5], [10, 0, 5]],
impedance=1.2e3
)
# Run simulation
sim = xb.Simulation(
tissue=tissue,
electrodes=electrodes,
frequency=10e3
)
result = sim.run(duration=0.1)
field = result.electric_field
print(f"Peak: {field.max():.2f} V/m")
The XenoBios SDK is available for research institutions and commercial partners. Request early access to start building with our physics engine.
XenoBios was founded in 2025 on the conviction that bioelectric, non-equilibrium thermodynamics, information dynamics, bioelectromagnetics, represent the frontiers in medicine and biology. By combining deep physics understanding with cutting-edge AI, we're building the tools that will unlock the denovo technologies to model biophysical nature of life specifically diseases.
Every claim is grounded in peer-reviewed research and experimental validation.
We partner with leading academic institutions and industry leaders.
Our goal is to translate research into therapies that improve human health.
Founder & CEO
Mudassar is a visionary leader at the intersection of physics, artificial intelligence, and biomedical science. With deep expertise in computational biophysics and machine learning, he founded XenoBios to democratize access to advanced physics simulation tools for the bioelectric medicine community.
Expertise: AI Physics Engines, Bioelectric Simulation, Neural Networks
Mission: Transforming medicine through the Biophysical language of life
We partner with research institutions, pharmaceutical companies, and innovators who share our vision of transforming medicine through bioelectric physics.