Outcomes & achievements
By harnessing Anvil, PyTorch, TensorFlow, and Plotly, the collaboration delivered an AI platform that transforms how manufacturers run their processes.
TwinForge
Create the digital twin of your processes and products.
An intuitive, AI-based cloud platform that lets manufacturing teams analyze, predict, and optimize their operations built end to end by BrainerHub Solutions for a European deep-tech founder.
WebDesktop
Client's location
USA
BrainerHub team
1 PM
2 Python engineers
1 ML engineer
1 QA engineer
2 Python engineers
1 ML engineer
1 QA engineer
Timeline
6 months
Challenges
Manufacturing companies face a challenge every day: adapting to new operating conditions in their processes while protecting efficiency, quality, and margin. Insight lives in scattered sensor data, spreadsheets, and operator experience and there was no accessible tool that turned it into foresight.
TwinForge Manufacturing AI
TwinForge Manufacturing AI
Digital twin builder
Users spin up a digital twin of any process directly from their historical data a few clicks from CSV to a working model of an extrusion line, a treatment plant, or an entire production cell.
Model reports
Every twin trains a neural network under the hood and shows its work. Model reports translate ML performance into plain numbers an operations manager can act on.
Interactive data visualization
Powered by Plotly, the visualization workspace turns dense process data into charts anyone can interrogate plot any variable against any other and watch relationships appear.
Recommendations, KPIs & predictions
The dashboard closes the loop: the twin compares live values against optimal targets, recommends setpoint changes, and overlays predicted vs. measured behavior over time.
Features overview
The product pairs deep learning models with an ophthalmologist-friendly interface for day-to-day OCT workflows.
Outcomes & achievements
By harnessing Anvil, PyTorch, TensorFlow, and Plotly, the collaboration delivered an AI platform that transforms how manufacturers run their processes.
Enhanced process analysis
Manufacturing professionals gain deep insight into their operations uncovering patterns, identifying bottlenecks, and making decisions on data instead of instinct.
Accurate predictive modeling
Advanced ML models predict key process parameters, letting manufacturers anticipate issues, optimize resource allocation, and raise overall productivity.
Streamlined optimization
An intuitive interface over powerful algorithms empowers users to optimize processes directly improving efficiency, reducing costs, and increasing profitability.
User-centric experience
The frontend was designed for real factory teams: intuitive, easy to navigate, and accessible to professionals of varying technical backgrounds.
Enhanced process analysis
Manufacturing professionals gain deep insight into their operations uncovering patterns, identifying bottlenecks, and making decisions on data instead of instinct.
Accurate predictive modeling
Advanced ML models predict key process parameters, letting manufacturers anticipate issues, optimize resource allocation, and raise overall productivity.
Streamlined optimization
An intuitive interface over powerful algorithms empowers users to optimize processes directly improving efficiency, reducing costs, and increasing profitability.
User-centric experience
The frontend was designed for real factory teams: intuitive, easy to navigate, and accessible to professionals of varying technical backgrounds.
TwinForge Manufacturing AI
TwinForge Manufacturing AI
Digital twin builder
Guided twin creation from uploaded process data, Multiple twins per team, searchable and filterable, Team workspaces with alarms and account roles
Model reports
Per-variable accuracy — typically within ±1.23%, Maximum relative error surfaced honestly (e.g. −11.12%), Training loss curves rendered live across epochs
Interactive data visualization
"Show X by Y" — free exploration of any variable pair, Zoom, pan, lasso, and export built into every chart, Complex manufacturing data made visually compelling
Recommendations, KPIs & predictions
Setpoint recommendations per variable (current → recommended), Custom KPIs chosen when building each digital twin, Historic data & predictions overlaid for every tracked parameter
Technology stack
React and Laravel power the clinical UI, while TensorFlow and Flask services handle scan analysis on AWS.
Proud to be a trusted partner
Clinical software succeeds when specialists feel faster and safer at once.
TwinForge started with a fairly complex manufacturing problem, and BrainerHub did an excellent job of turning that complexity into something our teams could actually use. They understood the importance of combining AI, sensor data, and operational knowledge into a practical platform rather than simply building another analytics tool. The collaboration was efficient, technically strong, and focused on solving the real problem behind the product.
Lukas Schneider
Founder & CEO, TwinForge
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