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Webinar - Nutriset x Juno
Mardi 12 Novembre - 11h30
Comment améliorer sa productivité en digitalisant sa qualité ?
With Juno, capture your team's expertise in AI that simulates and optimizes your processes in real-time.
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Juno changes that. We build AI models that capture your team's knowledge and simulate your process in real-time - so you can test optimizations digitally, reduce scrap, and preserve institutional knowledge. No more guessing. No more lost expertise.
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To build accurate models, our AI integrates all your data: machine parameters, quality systems, business expertise, product specifications, and production context. The result? Models that actually understand your process.
Monitor the KPIs that matter for your operation - quality rate, downtime, material waste, cycle time. Our platform connects process data to performance outcomes, revealing which parameters actually drive your results.
Our AI analyzes all your data, compares it against captured expertise, and delivers actionable recommendations. Use them to optimize existing processes, simulate future production runs, or continuously adjust parameters to prevent quality drift.
improvement in industrialization cycle
improvement in defect rate
gain in non-production time
In 30 minutes, we'll explore your production challenges and identify which line or product would deliver the fastest ROI in a pilot.
Just a focused discussion about where to start.
Book your discovery call →
1. 30-minute discovery call
2. Identify your highest-impact use case
3. Map out your pilot approach
Most AI vendors analyze your data remotely and deliver generic recommendations. Juno starts with plant visits — our engineers walk your production line, map the process with your team, and capture the expertise that drives quality. We then build custom AI models that combine your data with this domain knowledge. It's not plug-and-play AI; it's AI built specifically for your process.
Juno specializes in continuous and batch manufacturing processes including injection molding, extrusion, blow molding, coating, mixing, and assembly. If your process has adjustable parameters (temperature, pressure, speed, time) and measurable quality outcomes, Juno can optimize it.
Our standard pilot runs 6 weeks: 1 week for discovery and process mapping, 2 weeks to build and validate your custom AI model, then 2-3 weeks of live production trials to prove results. You'll see recommendations applied on your actual production line during the pilot — not just theoretical analysis.
No. Juno is designed for process engineers, not data scientists. We handle all the AI complexity — data cleaning, model training, and validation. Your team focuses on what they do best: understanding the process and deciding which recommendations to implement.
That's normal. Most plants have data gaps, inconsistent timestamps, or missing quality records. Part of our discovery phase is auditing your data and identifying what's usable. We've built pilots with as little as 3 months of historical data when combined with strong process expertise from your engineers.
All data and process knowledge captured during discovery and pilots remain strictly confidential. We sign NDAs upfront, store data in secure, isolated environments, and never share insights across customers. Your competitive process expertise stays yours — Juno just helps you leverage it more effectively.
Results vary by process and KPI focus, but pilot customers typically see 15-30% improvements in their target metric — whether that's reduced scrap, improved first-time yield, faster cycle times, or lower energy consumption. We define success criteria upfront during kickoff so expectations are clear from day one.
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