Partners
Braincube
Transforming Industrial Productivity with AI
Decimal Point Analytics partners with BRAINCUBE to drive measurable productivity and eliminate hidden inefficiencies in manufacturing.
Decimal Point Analytics + BRAINCUBE: Transforming Manufacturing Intelligence
At Decimal Point Analytics, we are proud to partner with Braincube, a global leader in industrial AI and productivity management. This collaboration brings cutting-edge digital transformation solutions to manufacturers seeking to achieve data-driven decision-making, eliminate production inefficiencies, and scale performance across plants.Our partnership empowers manufacturers with actionable insights, driven by AI, to move beyond incremental improvements and achieve Total Productivity.
Transform Your Operations — At Every Level
Uncover Hidden Potential
AI identifies inefficiencies across operations
Empower Every Level
From engineers to leadership—enable real-time, data-driven decisions
Scale with Confidence
Validate and replicate gains across machines, lines, and plants
The Right Partnership for Industrial Transformation
Our partnership brings together deep industrial context and AI-driven clarity to solve real manufacturing challenges. It’s not about more data — it’s about the right insights, delivered in a way your teams can act on.
Purpose-Built for Manufacturers
The tools and frameworks are tailored for the complexity of industrial environments—not generic AI.
Quick, Measurable Outcomes
Manufacturers begin seeing tangible improvements in efficiency and decision-making within a short span.
Collaborative Implementation
We work alongside your teams—not just as technology providers, but as partners in problem-solving.
Actionable Insights, Not Just Data
We focus on delivering insights teams can act on, not just dashboards or reports.
Seamless Team Enablement
From line operators to plant heads, the solution is designed to be accessible and practical.
Frequently Asked Questions
Everything You Need to Know About the DPA + Braincube Partnership.
Braincube connects to existing industrial systems such as MES, SCADA, ERP, historians, and sensors to ingest and contextualize production data.
It creates Product Clones, which are digital models of manufacturing processes at the product level. Using CrossRank AI, Braincube identifies the variables that most influence performance outcomes and provides real-time guidance or enables automated adjustments through closed-loop optimization.
Braincube addresses production challenges that directly impact cost, quality, and throughput. These challenges are organized into five measurable manufacturing goals (WEMEQ):
- Reduce waste, including scrap, rework, and yield loss
- Reduce energy consumption
- Reduce raw material usage
- Optimize line efficiency and throughput
- Improve product quality and consistency
These use cases are linked to core manufacturing KPIs such as cost per unit, OEE, production speed, and sustainability targets.
Braincube addresses production challenges that directly impact cost, quality, and throughput. These challenges are organized into five measurable manufacturing goals (WEMEQ):
- Pulp and Paper
- Food and Beverage
- Tires and Elastomers
- Metals and Mining
- Building Materials
- Chemicals and Plastics
Across these industries, manufacturers achieve measurable gains in cost reduction, production stability, throughput, and quality.
Organizations using Braincube typically achieve:
- Elimination of hidden inefficiencies and waste
- Improved yield and product quality through optimized process setpoints
- Reduced energy and material costs
- Higher throughput and faster production cycles
- Real-time operational decision-making
- Scalable productivity improvements across plants and geographies
Customers report measurable results, including higher line speeds, lower energy usage, throughput gains, and rapid return on investment.
Braincube adapts to different levels of digital maturity. At a minimum, implementation requires:
- Connectivity to existing production systems such as SCADA, MES, historians, ERP, or sensors
- Operational subject-matter experts to support contextualization
- A designated Braincube champion at the plant level
Full IIoT maturity is not required. Braincube integrates with both modern and legacy infrastructure using edge and cloud connectors.
Implementation timelines depend on plant connectivity and deployment scope. Braincube offers starter packages that enable rapid onboarding for data ingestion, visualization, soft sensors, and basic analytics.
Advanced capabilities such as Product Clones, AI models, and closed-loop optimization are deployed progressively. Many manufacturers begin seeing measurable improvements within weeks, with ROI often achieved within months.
Braincube is designed to minimize ongoing IT dependency. Its middleware automates data structuring, contextualization, and synchronization.
IT teams are primarily involved during the initial integration phase. After deployment, operations, process engineering, and continuous improvement teams drive most day-to-day usage.
Yes. Braincube centralizes production insights, enabling manufacturers to share best practices, replicate proven setpoints, and standardize performance improvements across lines, plants, and regions.
Many organizations deploy Braincube enterprise-wide to scale productivity gains globally.
MES executes production, SCADA supervises operations, and historians collect and store data. However, these systems do not identify optimization potential or guide performance improvements.
Braincube adds a dedicated productivity intelligence layer by analyzing all production data, identifying hidden improvement opportunities, providing AI-driven recommendations, and enabling real-time or closed-loop optimization.
Braincube was founded in 2007 by manufacturing and AI experts who experienced firsthand the limitations of traditional optimization tools. The platform was built to combine industrial expertise with advanced AI to unlock hidden productivity potential.
Today, Braincube serves more than 250 manufacturing companies across 30 countries. The company expanded into the United States and Latin America starting in 2009, raised Series A funding in 2018, was recognized in the Gartner Magic Quadrant in 2019, and secured an €84 million Series B round in 2023. Braincube is led by its founders, Laurent Laporte (CEO) and Sylvain Rubat du Mérac (CTO).
