NEOMA P-CAM SDK

NEOMA P-CAM is a breakthrough Embodied Hardware-Attested AI Physics & Bio-Simulation Engine designed for extreme real-time performance.

While conventional molecular docking (e.g., AutoDock Vina) and physics solvers require seconds to minutes per iteration, P-CAM achieves macro-dynamic convergence in under 1 millisecond (< 1.0 ms) with cryptographic proof-of-execution.

Performance Benchmarks

Installation

pip install neoma-pcam

Quickstart

Get your API key at RapidAPI Hub.

1. Ultra-Fast Molecular Docking (< 1.3ms)

import neoma_pcam as pcam

client = pcam.PCAMClient(api_key="YOUR_RAPIDAPI_KEY")

result = client.dock(
    target_protein="SAMPLE_PDB_DATA",
    ligand_smiles="CC(=O)OC1=CC=CC=C1C(=O)O"
)

print("Status:", result["status"])
print("Latency:", result["physical_telemetry"]["total_latency_ms"], "ms")
print("Hardware Seal:", result["physical_telemetry"]["hardware_seal_id"])

2. Physical Equilibrium Reflex Convergence (< 0.9ms)

import neoma_pcam as pcam

client = pcam.PCAMClient(api_key="YOUR_RAPIDAPI_KEY")

reflex = client.compute_reflex()

print("Status:", reflex["status"])
print("Execution Latency:", reflex["physical_telemetry"]["total_latency_ms"], "ms")

License

MIT License. Engineered by NEOMA Embodied Systems.