Battery Analytics & Quality Control Platform

Use data to make faster, more informed battery decisions

Stop wrestling with Excel and DIY solutions. Get professional battery analysis, automated quality control, and predictive insights, all from your existing test equipment. Built by battery engineers for battery engineers.

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× Faster Quality Control Decisions

Three Ways to Ensure Battery Quality

Incoming Quality Control

For Product Companies

Test and qualify battery cells before pack assembly. Predict performance from supplier formation data and avoid costly field failures.

  • Pre-assembly cell screening
  • Supplier data integration
  • Performance matching for packs
  • Warranty risk assessment

Manufacturing Quality Control

For Battery Production Lines

Optimize formation, grading, and EOL testing. Predict final performance during formation to reduce grading time and improve yield.

  • Formation process optimization
  • AI-powered cell grading
  • EOL test automation
  • Yield improvement analytics

R&D Test Optimization

For Development Labs

Accelerate battery development from prototype to production. Manage test data across multiple cyclers and predict scale-up challenges early.

  • Multi-cycler data integration
  • Prototype characterization
  • Scale-up risk prediction
  • Recipe optimization tools

Measurable Business Impact

Proven ROI that justifies investment and drives competitive advantage

85%
Faster Testing & Validation
Reduce cycle life testing from 1000+ cycles to just 50 cycles with 99.7% accuracy. Cut months from product development timelines.
Business Impact: Accelerate time-to-market, reduce R&D costs, beat competitors to launch
$2M+
Annual Cost Savings
Eliminate manual data processing, reduce testing infrastructure needs, prevent costly field failures through better quality control.
Business Impact: Lower operational costs, reduced warranty claims, improved cash flow
90%
Engineering Time Savings
Automate data analysis workflows that previously took weeks. Free engineers to focus on innovation instead of spreadsheets.
Business Impact: Higher team productivity, faster decision-making, better resource allocation

Why Engineering Managers Choose Micantis

Risk Reduction: Predict failures before production, ensure quality compliance, protect brand reputation
Scalability: Handle 10x more data without 10x more staff. Growth-ready infrastructure that scales with your business
Competitive Advantage: Make data-driven decisions faster, optimize processes in real-time, stay ahead of competition
Executive Reporting: Automated dashboards and reports that keep leadership informed without manual work
Operational Excellence: Standardize processes across teams, reduce variability, ensure consistent quality
Team Satisfaction: Eliminate tedious manual work, empower engineers with better tools, improve retention

See Micantis in Action

Automated Data Management

Seamless data integration from all your test equipment with intelligent processing.

  • Automatic uploads from cycle testers and safety equipment
  • Metadata extraction links data to cell/pack entities
  • Signal extraction processes data automatically on import
  • Image classifier associates safety test photos
  • Complex reports generated with just clicks
Signal Extraction Feature

Advanced Analysis Tools

Graphs and analysis tools designed specifically for battery data.

  • HPPC, EIS, cycle life analysis
  • dQ/dV and DCIR calculations
  • Compare cell or process data
Advanced Analysis

Real-Time Test Management

Near-real-time updates of equipment status and test lab monitoring.

  • Equipment status dashboard
  • Test progress tracking
  • Automated alerts on failures
Test Management

Discover Everything Micantis Can Do

From automated data import to AI predictions, explore our complete platform capabilities

Explore All Features

Enterprise-Grade Platform

Developer APIs & Data Science Tools

Get started in seconds with our Python SDK and Jupyter notebook integration.

pip install micantis
  • Simple Integration: Import and start analyzing battery data immediately
  • Jupyter Native: Works seamlessly in notebooks with built-in visualizations
  • Pandas Compatible: Direct DataFrame integration for data science workflows
  • Async Support: High-performance async/await for large-scale analysis
  • Rich Documentation: Comprehensive guides and examples at pypi.org/project/micantis
import micantis

# Connect and analyze
client = micantis.Client()
cells = client.get_cells(chemistry="NMC")
predictions = client.predict_cycle_life(cells)

# Instant visualization
predictions.plot()

Enterprise Resilience & High Availability

Scale confidently with our Enterprise tier featuring Azure's premium infrastructure and disaster recovery capabilities.

Enterprise Tier
  • Multi-Zone Redundancy: Deploy across Azure Availability Zones for 99.99% uptime SLA
  • Geo-Redundant Storage: Automatic cross-region replication with 16 nines durability
  • Premium Database Tier: Azure SQL Database with automatic failover groups and global read replicas
  • Enhanced Recovery: Point-in-time restore up to 35 days with cross-region backup
  • Global Distribution: Active geo-replication for worldwide low-latency access
  • Advanced Protection: DDoS Protection Standard and threat detection
  • Dedicated Support: 24/7 monitoring with priority incident response
  • Custom SLAs: Tailored service level agreements for your requirements
99.99%
Uptime SLA
< 10s
RTO
< 1min
RPO

"The only realistic alternative to navigating terabytes of excel sheet data"

Gabriel Torres, Sionic Energy

Ready to Accelerate Your Battery Innovation?

Join industry leaders who are already making battery decisions faster with Micantis.

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