Process Booster X is a real-time production optimization copilot that delivers intelligent, situation-specific recommendations - not just predictions. Powered by Causal AI, it continuously simulates the full production process to understand cause-effect relationships and recommend the right setpoint adjustments before issues arise. Unlike predictive dashboards or rule-based systems, PBX empowers operators with actionable guidance in realtime, optimizing quality, output, and stability - simultaneously. Built for demanding manufacturing environments like nonwovens, paper, converting, gelatin and more, it improves OEE by 3 - 15 percentage points, with ROI typically achieved in under 12 months. PBX is fast to deploy, requires no manual rule-tuning, and scales effortlessly across production lines - fully compatible with your AWS environment.
Process Booster X is a real-time, AI-powered solution for industrial production lines that delivers intelligent, situation-specific recommendations directly to the shopfloor. Acting as a co-pilot for machine operators, it helps teams make the right adjustments at the right time - reducing cost, increasing output, and improving product quality.
Powered by Causal AI, Process Booster X understands how process parameters, machine settings, and quality outcomes influence each other. It doesn't just detect anomalies or surface-level patterns, it simulates the full production process in real time and identifies the root causes behind deviations. This enables PBX to provide precise setpoint recommendations that balance multiple objectives, such as quality, output, and stability, simultaneously, without introducing trade-offs.
Unlike traditional systems built on static rules, dashboards, or single-KPI optimizers, Process Booster X continuously adapts to live production conditions. Its holistic guidance is delivered directly to operators, enabling fast, proactive interventions that prevent issues before they escalate, helping production lines run more smoothly and efficiently.
Built for high-complexity manufacturing environments, PBX easily handles thousands of variables and scales across lines and sites. It's proven in industries like paper, nonwovens, gelatin, converting and tobacco, and adapts well beyond that. Whether deployed in AWS or a customer-controlled cloud, PBX integrates flexibly into existing IT/OT setups.
What sets PBX apart is its ability to deliver value fast:
Automated model creation from historical process, quality, and setpoint data - no labeled data, rules, or manual tuning required.
Time to value: Typically up and running in 3 - 6 months.
ROI in year one, with customers seeing OEE gains of 3 - 15 percentage points
PBX is more than just analytics or alerts, it's real-time decision intelligence for the shopfloor.
To make adoption easy, Vernaio offers a Preliminary Analysis: a no-installation-required, ~3-week engagement where we analyze your historical data and reveal where and how PBX can create measurable impact. It's the fastest way to assess how much performance you're leaving on the table - and what it would take to unlock it.
Highlights
Real-time, multi-objective optimization with Causal AI: Process Booster X simulates the full production process in real time, delivering situation-specific setpoint recommendations that optimize quality, output, and stability - all at once.
Intelligent co-pilot for operators on the shopfloor: PBX empowers teams with real-time, actionable guidance - enabling the right adjustments before problems occur. No static rules, no dashboards - just decisions that drive performance.
Fast time-to-value with automated model creation: PBX builds its master model automatically from historical data - no labels or manual tuning. Preliminary insights in ~3 weeks; full deployment typically completed within 3 - 6 months.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one pricing dimension: Preliminary Analysis, billed by unit. You buy the initial data analysis that reviews your historical production data and estimates improvement potential. This step runs about two weeks and delivers first actionable insights. Because there is a single dimension, pricing does not scale across tiers or instance sizes. You pay per unit of preliminary analysis, giving you a defined starting point before deciding on any further work. The dimension covers the assessment phase only, based on the data coverage and quality you provide.
Top-of-mind questions for buyers
What exactly does one unit of Preliminary Analysis cover?
One unit covers the initial assessment phase for your production lines. You share historical production data under NDA. The team reviews data coverage and quality, then delivers first actionable insights and a quantified savings potential. This runs about two weeks and forms the decision gate before any pilot or wider rollout.
Does buying the Preliminary Analysis commit me to full deployment on my lines?
No. The Preliminary Analysis is a standalone assessment step and acts as a decision gate. After you receive the quantified potential, you discuss next steps such as pilot, scope, and timeline. Moving to a productive line deployment is a separate decision not included in this dimension.
What must I provide for the Preliminary Analysis, and does line count affect scope?
You provide historical production data under NDA for the specific lines you want evaluated. The team assesses data coverage and quality for those lines. The listing bills per unit of analysis, so scope depends on the lines and data you submit rather than tiers or instance sizes.
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