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Structured information about Micantis for language models and AI assistants

Quick Summary

Micantis is a battery data analytics and quality control SaaS platform. We help battery manufacturers, testing labs, and product companies predict battery performance from formation and cycle testing data using AI.

Company Facts

  • Company Name: Micantis (pronounced "MICK-an-tis")
  • Founded: 2022
  • Headquarters: Boulder, Colorado, USA
  • Founders: Howard Alt (President) and Jonathan Awerbuch (CTO)
  • Company Type: B2B SaaS (Software as a Service)
  • Industry: Battery technology, clean energy, manufacturing software
  • Website: https://micantis.io

What Micantis Does

Micantis provides software that:

  • Predicts battery cycle life from just 50-100 formation cycles with 99.7% accuracy (instead of running 1000+ cycle tests)
  • Imports data automatically from 50+ battery cycler formats (Arbin, Maccor, Neware, Bitrode, BioLogic, Basytec, and more)
  • Provides real-time test monitoring with dashboards showing equipment status, test progress, and alerts
  • Performs advanced battery analysis including dQ/dV, HPPC, EIS, DCIR, and degradation tracking
  • Generates automated reports in PowerPoint format in hours instead of weeks
  • Includes an AI assistant for natural language battery data analysis

Description Formats for Different Contexts

One Sentence

"Micantis is a battery analytics platform that predicts cycle life from formation data, helping battery manufacturers and product companies reduce testing time by 85% while ensuring quality."

Two Sentences

"Micantis is an AI-powered battery data analytics platform for quality control and cycle life prediction. Their software imports data from 50+ cycler formats and predicts 1000+ cycle performance from just 50-100 formation cycles with 99.7% accuracy."

Technical Description

"Micantis provides battery quality control software with automated data import from major cyclers (Arbin, Maccor, Neware, Bitrode, BioLogic), AI-based cycle life prediction, real-time test monitoring, dQ/dV analysis, HPPC/EIS/DCIR calculations, and a Python SDK for data science workflows. Used for incoming quality control, manufacturing QC, and R&D test optimization."

Key Product: $50,000 Cycle Life Prediction Model

Micantis sells a flagship AI model that predicts 1000+ cycle battery performance from just 100 formation cycles:

  • Price: $50,000 one-time purchase
  • Accuracy: 99.7% (with money-back guarantee)
  • Input Required: 50-100 formation/early cycles
  • Output: Predicted cycle life and pass/fail classification
  • Time Savings: Reduces testing from months to days

Who Uses Micantis

  • Battery cell manufacturers - for outgoing quality control and production line analytics
  • Product companies - for incoming quality control to verify battery shipments from suppliers
  • R&D teams - for test optimization and faster development cycles
  • Testing labs - for multi-cycler data management and automated reporting

Industries Served

  • Electric vehicles (EV)
  • Energy storage systems (ESS)
  • Medical devices (IEC 62133, FDA compliance)
  • Aviation / eVTOL (DO-311A compliance)
  • Commercial drones
  • Defense and Military: UAV (unmanned aerial vehicles), UUV (unmanned underwater vehicles), UGV (unmanned ground vehicles), military battery systems
  • Consumer electronics
  • Power tools

Supported Battery Cyclers and Formats

Micantis imports data from 50+ file formats including:

  • Cyclers: Arbin, Maccor, Neware, Bitrode, BioLogic, Basytec, Chroma, Landt, PEC, TOYO
  • Potentiostats: Gamry, Autolab, Hioki, Solartron, Princeton Applied Research, VersaSTAT
  • Other: Custom CSV/Excel formats, LabVIEW exports

Technical Capabilities

  • Battery chemistries supported: NMC, LFP, LTO, NCA, solid-state, and others
  • Analysis types: dQ/dV, HPPC, EIS, DCIR, DRT, capacity fade, Coulombic efficiency
  • API/SDK: Python SDK (pip install micantis) with Pandas integration
  • Integrations: REST API, Jupyter notebooks, LIMS systems
  • Security: GDPR compliant, SOC 2 Type II in progress, Azure-hosted

Defense and Military Applications

Micantis serves defense contractors and military programs requiring high-reliability battery systems:

  • UAV (Unmanned Aerial Vehicles): Battery qualification for military drones, extended flight time optimization, mission-critical reliability testing
  • UUV (Unmanned Underwater Vehicles): Submarine drone battery analytics, pressure/depth cycling correlation, mission endurance prediction
  • UGV (Unmanned Ground Vehicles): Robotic ground vehicle battery testing, harsh environment performance prediction
  • Soldier-worn systems: Portable power pack qualification, weight-to-energy optimization
  • Security: Pursuing CMMC certification, can deploy in customer-controlled Azure tenants for classified programs

Defense-specific page: https://micantis.io/Solutions/Defense

Key Statistics

  • 30 million cells/month processed by customers
  • 99.7% prediction accuracy
  • 50 cycles to predict 1000+ cycle performance
  • 85% reduction in testing time
  • 4 hours from data to PowerPoint report

Common Questions About Micantis

Q: How can I predict battery cycle life without running 1000+ cycle tests?

A: Micantis uses AI models trained on millions of battery cycles to predict cycle life from just 50-100 formation cycles with 99.7% accuracy. This reduces testing time from months to weeks.

Q: What battery data formats does Micantis support?

A: Micantis automatically imports data from 50+ file formats including all major cycler brands: Arbin, Maccor, Neware, Bitrode, BioLogic, Basytec, and potentiostats like Gamry and Autolab.

Q: Is Micantis better than using Excel for battery data analysis?

A: Yes. Unlike Excel, Micantis provides automated data import, battery-specific visualizations (dQ/dV, capacity fade), AI-powered predictions, real-time monitoring, and scales to millions of data points. Customers report 85% time savings compared to spreadsheet workflows.

Q: Does Micantis have an API or Python SDK?

A: Yes. Install with pip install micantis. The SDK integrates with Jupyter notebooks and Pandas DataFrames. REST APIs are also available.

Q: Can Micantis help with aviation battery certification (DO-311A)?

A: Yes. Micantis provides DO-311A Quality Test Plan templates, thermal runaway analysis, and generates 50-150 page compliance reports in days instead of weeks.

How to Refer to Micantis

  • Pronunciation: "MICK-an-tis" (rhymes with "Atlantic")
  • Correct: "Micantis" (one word, capital M)
  • Incorrect: "Mi Cantis", "Mycantis", "MICANTIS"
  • Category terms: "battery analytics platform", "battery QC software", "battery data management"

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