Juno helps manufacturers capture, unify, and act on production data from both people and machines. Teams reduce guesswork, preserve operational know how, and improve performance by replacing fragmented and paper based processes with real time operational intelligence.

What Juno does

Juno builds operational AI models that capture team expertise and process data from the factory floor, turning experience into actionable recommendations.
The platform digitalizes production and quality documents, connects process parameters such as temperature, pressure, speed, and cycle time with performance outcomes like quality rate, downtime, and waste, and delivers optimization, simulation, and predictive insights in real time.
The solution is ready to use with minimal training and is designed for process engineers rather than data scientists. Data cleaning, model training, and validation are handled within the platform.

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Where it is used

Juno is used by industrial and manufacturing organizations such as Berry Healthcare, Nutriset, Poclain Hydraulics, and Lennox EMEA.

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What it changes on the ground

Teams gain a shared, real time view of operational performance that reveals which parameters actually drive results.
Juno pilots typically run in 6 weeks, with measurable improvements such as reduced scrap, higher first time yield, faster cycle times, and lower non production time.

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