With the Yieldmanager, you spend less time managing files — and more time solving real engineering problems. Structuring data, guiding your experiments, and turning every trial into actionable insight.
Innovative. Fast. Data-driven.
The new standard for process development.
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In high-precision manufacturing environments engineers face increasing pressure to:
Traditional tools such as Excel, powerpoint reports, or fragmented databases fail to meet these demands.
That’s why we at Betteryields developed the Yieldmanager: An AI-supported Engineering Notebook.
An AI supported Engineering Notebook (AISEN) is a centralized digital workspace designed to define, execute, analyze, and document engineering experiments with full traceability.
It represents a significant evolution from traditional documentation tools, enabling structured data capture, real-time process linking, and intelligent decision support.
Smart Trial Planning: AI suggests experiment setups based on past results, process history, and statistical gaps
Automated Data Capture: Logs process parameters, machine settings, and results in a structured, traceable format
Instant Analysis: Detects patterns, correlations, and root causes—no manual sorting or guesswork needed
AI-Generated Reports: Creates clean, audit-ready documentation with one click
Faster Learning Cycles: Engineers save hours per experiment and gain deeper, data-driven insights instantly
"During pre-development, engineers often have two years to experiment and iterate without strict constraints. But once a concept proves viable, the expectation is to scale it to mass production within six months. Without a structured engineering notebook, this transition becomes nearly impossible."
"You can't build a great engineering culture unless everyone speaks the same language. With Yieldmanager, we standardized our development process and created a shared foundation that every engineer can rely on."
"In the past, launching a product took three years. Now, it’s expected in just six months. Without an intelligent engineering notebook, that wouldn’t be possible."
Time efficiency: Reduces time spent on redundant documentation and enables instant retrieval of past tests.
Improved decision-making: AI analyzes historical and current runs, highlighting correlations and suggesting optimal parameter windows.
Data integrity: All information is stored in standardized formats, with automated timestamps, user tracking, and change history.
Team continuity: Eliminates dependency on individual knowledge. Every project, test, and result is preserved, searchable, and reusable.
AISEN helps engineering teams reduce rework, improve process stability, and reuse valuable knowledge across real-world applications:
€500,000+ annual savings through reduced scrap, faster onboarding, and fewer repeated trials
1,000+ engineering hours freed up per year
Yield improvements of 5–10% and energy savings of up to 40,000 kWh/year
Typical ROI: 1,500%–3,000%
AISEN pays for itself within weeks—by helping teams work smarter, faster, and with less waste.
Ag sintering development: Pressure, temperature, and dwell time studies with structured result capture (e.g. shear strength, void rate).
Reflow soldering: Thermal profile tracking, zone-wise adjustments, and correlation with defect rates.
DoE campaigns: Full-factorial and Taguchi plans with multi-dimensional parameter/result mapping.
FDM 3D printing: Parameter sweep documentation (speed, nozzle temp, material), output quality scoring, and automated reporting.
Disjointed tools like Excel, PowerPoint and paper logs slow down innovation, introduce errors, and make it difficult to scale advanced manufacturing process development, troubleshooting, and improvement activities.
A unified platform that brings structure, automation, and intelligent insights to engineering teams—streamlining experiments, capturing machine data, supporting root cause analysis, and enabling continuous improvement through quantitative insights.
We provide structured onboarding, equipment integration, and continuous support—ensuring every process team can digitize and scale its workflows with minimal disruption.
More →We support you in integrating existing data, notes and reports — so your team starts with structured, searchable content from day one.
More →Together we create custom software solutions that will integrate into the software to bring it all into one platform.
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