Advanced Analytics & Expert Consulting
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Advanced Battery Analytics & Expert Services
From data analysis to custom AI models, our team of battery scientists and data experts provides comprehensive solutions for your toughest challenges.
Whether you need advanced analytics, predictive models, feature engineering, or strategic guidance, we combine deep electrochemical expertise with cutting-edge data science to unlock insights from your battery data.
Complete Analytics Solutions
Expert consulting, custom AI models, advanced analysis, and platform services - all backed by our team's deep battery domain knowledge.
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Expert Consulting Services
Our team of battery scientists and data experts work with you to solve your toughest challenges
Custom ML Model Development
We build tailored machine learning models for your specific battery chemistry, application, and performance requirements.
- Cycle life prediction models
- Quality control algorithms
- Failure mode detection
- Process optimization models
Data Analysis & Feature Engineering
Our battery domain experts extract meaningful features from complex electrochemical data that traditional analysis misses.
- Advanced feature extraction
- Statistical analysis consulting
- Data quality assessment
- Experimental design guidance
Technical Training & Support
Get hands-on training from our experts to maximize the value of your battery data and testing programs.
- Battery testing best practices
- Data interpretation training
- Platform optimization
- Ongoing technical support
Platform Capabilities
ML/AI Early Cycle Life Prediction
Know the endpoint before you get there.
Our machine learning models analyze subtle electrochemical signatures in early cycling data to predict long-term performance with unprecedented accuracy.
- 50-100 cycles → 1000+ cycle prediction with 99.7% accuracy
- Multiple endpoints - Capacity retention, cycle count, failure modes
- Chemistry agnostic - Works with NMC, LFP, LTO, solid-state
- Confidence intervals - Know the certainty of each prediction
- Continuous learning - Models improve with your data
Formation Data Analysis
The first 10 cycles tell the whole story.
Formation cycles contain rich information about cell quality that traditional analysis misses. Our AI extracts hidden patterns that correlate with long-term performance.
- SEI quality assessment - Predict stability from formation kinetics
- Manufacturing defect detection - Identify assembly issues early
- Capacity matching - Group cells for optimal pack performance
- Process optimization - Tune formation protocols with AI guidance
- Real-time grading - Sort cells immediately after formation
Proven Model Performance
How Our ML Approach Works
Data Collection
Import your formation and cycle data
Expert Analysis
Our battery scientists extract predictive features using domain expertise
Custom Models
Build ML models tailored to your specific needs
Implementation
Deploy solutions in your production environment
Industry-Leading Accuracy
Our models don't just work in the lab—they deliver in production.
Beyond Predictions: Complete AI Suite
Anomaly Detection
Automatically identify outliers and unusual behavior patterns that humans might miss.
Root Cause Analysis
AI traces quality issues back to specific process parameters and material properties.
Optimization Recommendations
Get AI-powered suggestions for improving yield, performance, and consistency.
Failure Mode Prediction
Predict not just when, but how batteries will fail—lithium plating, SEI growth, or capacity fade.
Accelerated Testing Design
AI designs optimal test protocols to get maximum information in minimum time.
Natural Language Analysis
Ask questions in plain English and get AI-powered insights from your battery data.
Get Our Premium Cycle Life Prediction Model
Transform your quality control with our proven ML solution:
- Predict 1000+ cycles from just 50-100 cycles
- 99.7% accuracy validated across chemistries
- Reduce testing time and costs by 85%
- Money-back performance guarantee
- Full integration support included
Frequently Asked Questions
How accurate are the predictions?
Our models achieve 99.7% accuracy in predicting whether cells will meet cycle life specifications, validated across millions of cycles.
What chemistry types are supported?
All lithium-ion chemistries including NMC, LFP, LTO, NCA, and emerging solid-state batteries.
How much data is needed?
Predictions require 50-100 formation or early cycles. The more data, the higher the confidence.
Can the model be customized?
Yes, models can be fine-tuned with your specific data to improve accuracy for your unique chemistry and processes.
What's included with the model license?
The model license, integration support, training, and a money-back guarantee if accuracy targets aren't met.
Ready to Unlock Your Battery Data's Potential?
Work with our team of battery experts to get the insights you need.
Contact Our Team