We started nextX because the same story kept coming back: teams want predictive maintenance, monitoring, or safety-critical analytics — but their ML roadmap dies on “we don’t have enough labeled failure data.” Rare events are exactly what you’re trying to detect, so waiting for history before you ship never made sense to us. CRONOS is our answer: temporal pattern recognition that runs zero-shot — no training set, no fine-tuning — and stays 100% deterministic so outputs are reproducible and auditable. We cared a lot about edge reality: ARM-class hardware, low power, no GPU requirement, because that’s where industrial and medtech data actually lives. Along the way we validated the same engine across very different signals (industrial, biomedical, robotics-style faults) and opened AQEA Lab so people can stress-test the underlying math, not just the marketing. Happy to go deep on use cases, benchmarks, or limitations — ask anything. Your feedback on this launch genuinely helps us prioritize the roadmap.

CRONOS-Temporal Pattern Recognition

CRONOS: time-series intelligence with zero training data

CRONOS: time-series intelligence with zero training data