Multimodal reasoning at industrial scale.

Reasoning across text, image, signal and structured data is no longer an academic exercise — it's an operational requirement for every modern enterprise.

We describe the architectural choices that allow Janaka AI to fuse modalities without sacrificing latency, and the training recipe that keeps the model calibrated as the world it reasons about evolves.

Results are presented across three domains — clinical diagnostics, industrial perception, and financial risk — with comparisons against single-modal baselines.