Joodra

BATTERY LIFECYCLE INTELLIGENCE

See how much life
your batteries have left.

A battery management platform built on a physics-informed AI life prediction model.One continuous data record from deployment (BOL) through operation (MOL) to end of life (EOL).

SOH FORECAST · CELL #A-0412Sample data
SOH · Current
85.0%
RUL · Remaining life
1,200 cyc
Decision
Reuse → ESS
  • LG Energy Solution
  • LS ELECTRIC
  • DAEHEUNG
  • Paladin Envirotech
  • Eco Envirotech
  • GreatRise Materials Recovery
  • ENODAM
  • SER Capital

Every battery faces a decision after service

When service ends, each battery has to be cleared for reuse or sent to recycling.That call is only as good as the operating record behind it.Most sites either don't keep that record or lose it between stages.

Issue 01

Broken operating records

Operating data disappears when a battery leaves the site.Its history never reaches the people making the call.

Issue 02

One-time testing

Years of degradation and remaining life are inferred from a single final measurement.

Issue 03

Reusable batteries lost

Without evidence, decisions default to the safe side.Batteries that could be reused get shredded instead.

Our approach: capture data where batteries operate, and carry the same record all the way to the final decision.

Different questions at every stage. One data record.

Designed around reused batteries.Handles mixed makers and specs, incomplete histories, and uneven aging.Works just as well for new batteries.

BOLDeployment

Is it fit for ESS?

Go/no-go based on predicted remaining life · Expected service life and economics

MOLOperation

Is it healthy right now?

Continuous operating logs · Early anomaly alerts · State-aware charge and discharge control

EOLEnd of life

Where should it go next?

Reuse, recycle, or dispose based on operating history and remaining capacity · Connected to recycling plant operations

Physics × AI
Battery life prediction model

An ensemble of electrochemical modeling and deep learning.Physics rules out impossible answers. Deep learning picks up subtle degradation patterns.Reliable even when a battery's history is incomplete.

Inference —

01 · Sense

Signal input

Cell-level voltage, current, temperature, and SOC time series.Operating history included.

02 · Reason

Parallel inference, fused

Electrochemical model and Kalman filter alongside CNN, LSTM, and attention, combined in a physics-informed ensemble.

03 · Learn

Field retraining

Retrained on live data from JDMS and JD EMS.Accuracy improves with every new deployment.

SOH prediction error · Lower is betterMAE
Joodra
0.62pp
Conventional
3.24pp

1/5

the prediction error of conventional methods.

Internal benchmark · n=1,428

Four products. One model.

Start with any stage.Data from each stage carries into the next.

Who uses what

CustomerBOL · DeploymentMOL · OperationEOL · End of life
ESS operatorsPower trading · Data center gridJD PlanJD EMSJD Plan
Battery-powered fleetsStation UPS · Drones · Forklifts · Golf cartsJDMSJD Plan
R2 recycling plantsBatteries and e-wasteJD Works

Point solutions vs. one connected lifecycle

A separate tool for each stage

Built-in BMS diagnostics · ESS EMS · ITAD software

  • Batteries are retested every time they change hands
  • Reusable batteries are lost for lack of evidence
  • A separate contract and integration for every vendor

Joodra, end to end

JD Plan · JDMS · JD EMS · JD Works

  • Decisions based on operating data, with no retesting
  • More batteries recovered for reuse
  • One contract covers every stage

Proven in the field

JDMS · KR

62+

Monitoring UPS batteries across KORAIL stations

8 months in commercial operation14,009 anomalies caught early. Zero incidents.Now expanding to defense drone batteries.

JD Works · US

3

Paid deployments at R2-certified U.S. recycling plants

200+ active users · About 30% less admin work (customer-measured)

JD Plan · JD EMS

2

Co-development with industry leaders

Co-developing ESS built on reused batteries.Jointly validating the AI life prediction model.

MoULG Energy SolutionCo-developing grid ESS with reused batteries
PoCLS ELECTRICJoint validation of the AI battery life model
CustomerKORAILStation UPS battery monitoring · JDMS
CustomerPaladin Envirotech and othersR2-certified U.S. recycling plants · JD Works
  1. 2023Founded. Started building JDMS.
  2. 2024First commercial JDMS rollout at KORAIL. JD Works launched.
  3. 2025U.S. entity established and first U.S. revenue.
  4. 2026 · NowMoU with LG Energy Solution. PoC with LS ELECTRIC. Defense drone battery management contract.
  5. NextJD EMS commercial launch. Expansion into Europe and North America.