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BATTERY INTELLIGENCE PLATFORM

Predict battery failures
before they happen.

The only physics-based battery safety system that's FAA-certifiable. 7 days of advance warning. No training data. No black boxes.

r = 0.996
Peak Correlation
7 Days
Early Warning
500+
Cells Validated
96
Patent Claims

Batteries fail without warning.

Current battery monitoring can't predict novel failures. They wait for known signatures — by then, it's too late.

Reactive, not predictive

Conventional BMS monitors thresholds. By the time voltage or temperature spikes, thermal runaway is already beginning.

Hidden degradation

Internal cell damage is invisible to voltage and capacity measurements until catastrophic failure occurs.

Black-box ML

Machine learning needs thousands of failure examples. New chemistries and edge cases remain unpredictable.

One metric. Universal physics.

STABILITY MARGIN INDEX (SMI)
SMI

A single, physics-derived metric that quantifies battery stability in real-time.

SMI ≥ 1.0 Stable
0.7-1.0 Marginal
<0.7 Critical

Why it works

  • Chemistry-agnostic — works on any lithium-ion without calibration
  • Uses standard BMS data — no new sensors required
  • Deterministic — same input always produces same output
  • Predicts novel failures — first principles, not pattern matching

Real-time battery intelligence.

Cell-level monitoring, fleet-wide visibility, and FAA-certifiable safety insights — all from one interface.

Pack Monitoring

Real-time SMI for every cell in your pack. Identify weak links before they fail.

Fleet Operations

Multi-aircraft dispatch authority with go/no-go decisions based on stability margin.

Certification Support

ARP4761 safety assessment, DO-178C compliance, and full audit trails.

Physics, not patterns.

Traditional battery monitoring relies on thresholds and machine learning. SEIONICS takes a fundamentally different approach — applying first-principles physics to predict instability before it occurs.

The Core Principle

Our proprietary methodology uses fundamental physical laws to calculate a real-time Stability Margin Index (SMI). This deterministic approach requires no training data and works across any lithium-ion chemistry.

Unlike black-box ML models, SMI is fully explainable and FAA-certifiable. The same physics that governs battery behavior governs our predictions.

PROPRIETARY METHODOLOGY

  • Grounded in fundamental physical laws
  • Protected by 96 patent claims across 4 provisional applications
  • No training data required — works from first principles
  • FAA-certifiable deterministic algorithm

Same physics.
Universal results.

SMI is validated across multiple electrochemical domains — proving the underlying physics are fundamental, not curve-fitted.

r = 0.996
Peak Correlation
500+
Cells Tested
3
Domains Validated
0
Training Data Required

One Method. Three Systems.

LI-ION BATTERIES
r = 0.996
500+ cells • 4 chemistries
VALIDATED
PEM FUEL CELLS
r = 0.995
IEEE PHM 2014 • 8-19 day warning
CONFIRMED
MICROBIAL FUEL CELLS
r = 0.995
Mendeley MFC • Living biological
CONFIRMED
Same method works across systems = Universal Physical Principle

Where certainty matters.

Battery safety is mission-critical across industries. SMI provides the certainty needed for high-stakes applications.

Urban Air Mobility

$1T+ by 2035

FAA certification requires physics-based safety monitoring. DO-178C compliant.

Defense & DOD

$15B+ battery spend

Unmanned systems, ground vehicles, portable power, naval electrification.

Electric Vehicles

$900B+ by 2030

Warranty optimization, fast-charging stress, second-life qualification.

Grid Storage

$35B+ by 2030

200+ BESS fires since 2017. Real-time stability monitoring at scale.

Cell Manufacturing

$100B+ globally

15-30% scrap rates. Detect instability during formation, not after aging.

Maritime

$10B+ market

Electric ferries, hybrid cargo, offshore energy, mining equipment.

Space & Satellites

$400B+ by 2030

Lunar missions, space stations, satellite constellations, launch vehicles.

Submarines & UUV

$30B+ market

Attack subs, ballistic missile subs, autonomous underwater vehicles.

Built on first principles.

We're building the definitive battery safety platform — grounded in physics, protected by patents, validated by science.

Our Mission

Make battery failures predictable and preventable. We believe physics-based approaches are the only path to truly safe electrification — from urban air mobility to grid-scale storage.

Intellectual Property

Patent Applications 4 Provisional
Total Claims 96
Core Innovation SMI Methodology
2024
Founded
Underway
National Lab Partnerships
8+
Target Markets
96 Claims
IP Protection

Request access.

See how SEIONICS can protect your battery systems. Our team will schedule a personalized demo.

Live platform demonstration
Technical deep-dive on SMI methodology
Custom analysis of your use case