Celeris-1 Decision Hits 80% on JevBench

Celeris is targeting a compelling gap between classifiers and general-purpose LLMs: fast, typed decisions that application code can consume directly.

• –System One API compatibility lets existing Jev integrations switch with minimal code changes
• –Outputs probabilities, choices, and scores instead of free-form text, reducing parsing and routing overhead
• –Multimodal inputs expand use cases to receipt checks, document review, visual verification, and agent control
• –The 67ms latency claim is especially relevant for real-time routing, voice systems, and high-volume automation
• –The JevBench lead is promising, but developers should validate calibration, edge cases, and benchmark methodology on their own workloads