Architecture
simai operates at the intersection of high-resolution ocean simulation and distributed inference. Every computation is pressure-aware, depth-calibrated, and signal-propagation modeled against real bathymetric data from the GEBCO archives. The platform ingests raw sonar telemetry and produces simulation-grade outputs at sub-meter resolution.
Inference Engine
The inference layer is built for environments where latency is measured in acoustic delay — where a signal takes 2.6 seconds to return from 3,847 meters. Our scheduler accounts for this. Jobs are queued against signal-return windows. Results arrive with confidence intervals derived from actual acoustic dispersion models, not statistical proxies.
Data Protocol
Transmission is binary-packed, delta-compressed against a rolling 60-second baseline. Each packet carries a precision timestamp, a depth vector, and a cryptographic checksum. There are no lossy frames — if a packet cannot be verified, it is retransmitted at the next window, not interpolated. The system does not guess; it confirms.