Research & Development Platform
Micantis helps you scale from research lab to commercial production
Accelerate Battery Innovation
Built for battery startups and R&D teams developing breakthrough technologies with commercial ambitions.
From prototype cell development to pilot production scaling, Micantis eliminates data bottlenecks so you can focus on innovation, not spreadsheets. We grow with you from first proof-of-concept through commercial manufacturing.

Works With Your Lab Equipment
Seamless data import from all major battery testing equipment
Battery Cyclers
We guarantee data import from any cycler - if we don't support yours yet, we'll add it
Potentiostats & EIS
Import EIS data and electrochemical measurements
LIMS Systems
Connect lab data with sample tracking and metadata
Comprehensive R&D Platform Features
One-Click Data Analysis
From raw data to insights in seconds
Stop wrestling with Excel and complex Python scripts. Get instant, professional visualizations of your battery data with one click. Focus on developing better batteries, not better spreadsheets.
- One-click visualizations: Voltage curves, capacity fade, dQ/dV, EIS Nyquist plots
- Multi-cell comparisons: Overlay unlimited datasets for comprehensive analysis
- Interactive exploration: Zoom, pan, and inspect individual data points
- Professional quality: Clean, presentation-ready visualizations
- Smart annotations: Add context and insights directly to your graphs

Interactive graphing with multiple datasets and professional styling
Custom Research Dashboards
Build personalized views for your research
Create custom dashboards that show exactly what matters for your specific research goals. Monitor live experiments, compare test campaigns, and share insights with your team.
- Drag-and-drop builder: Create dashboards without any coding required
- Real-time updates: Live data streaming from running experiments
- Multi-experiment views: Compare results across different test campaigns
- Shareable templates: Standardize dashboard views across research teams
- Mobile responsive: Monitor experiments from anywhere, anytime

Customizable dashboards with real-time experiment monitoring
Advanced Electrochemical Analysis
Automatic feature extraction from complex electrochemical data
Skip the manual data processing. Micantis automatically extracts key parameters from EIS, HPPC, and other electrochemical tests, giving you instant insights into battery performance and degradation mechanisms.
- EIS analysis: Automatic Nyquist/Bode plots with circuit fitting
- HPPC processing: Resistance extraction and power capability mapping
- Feature extraction: Automated parameter calculation and trending
- Multi-condition analysis: Temperature and SOC correlation
- Degradation tracking: Automated detection of performance changes
- Mechanism identification: Pattern recognition for failure modes

Advanced EIS analysis with automatic circuit fitting

HPPC analysis with automated resistance and power extraction
Developer APIs & Integration
Seamless integration with your existing workflows
Integrate Micantis into your research ecosystem with comprehensive APIs and SDKs. Whether you're using Jupyter notebooks, custom scripts, or automated pipelines, Micantis fits into your workflow.
- Python SDK: Native Jupyter notebook integration for data scientists
- REST API: Full platform access for custom applications
- Real-time streaming: Live data WebSocket connections
- Batch processing: Efficient bulk data operations
- Custom algorithms: Deploy your models on our infrastructure
import pandas as pd
from micantis import MicantisAPI
# Connect to Micantis platform
api = MicantisAPI(service_url=SERVICE_URL,
username=USERNAME,
password=PASSWORD)
api.authenticate()
# Get cell data and metadata
cells = api.get_cells_list(search="*LFP*")
data_table = api.get_data_table(search="cycle_life", limit=100)
# Download test data
file_ids = data_table['id'].to_list()
test_data = []
for file_id in file_ids:
df = api.download_csv_file(file_id)
test_data.append(df)
# Combine and analyze
all_data = pd.concat(test_data)
print(f"Analyzed {len(test_data)} test files")
Streamline Your Research Workflow
Import
Automatic data collection from 50+ cycler formats
Process
AI-powered feature extraction and analysis
Visualize
Interactive graphs and custom dashboards
Collaborate
Share insights with your team instantly
Choose Your Plan
Scale from research to production with flexible pricing
Basics
Perfect for individual researchers and small labs
Professional
For growing teams and advanced research
Enterprise
For production-scale operations
Accelerate Your Battery Research Today
Join leading research institutions and companies using Micantis.
Request Demo