In development · Pilot conversations open

Understand the health of every battery.

VoltTrace is a battery health analytics platform being built to turn data from compatible battery management systems into health trends, degradation estimates, and maintenance insights — so operators can decide when to inspect or replace assets with more context.

  • Stationary energy storage
  • Electric vehicle fleets
  • Battery service companies

Rack-03 · LFP · Demo data

Estimated health trend

Demo
93% est. range 90–95%
Estimate Uncertainty range

Product concept

One view of every asset, from fleet to cell stack.

An interactive preview of the planned interface. Select an asset to see its profile, temperature trends, charging history, and estimated health indicators.

Demonstration data only. Every asset, value, alert, and maintenance record in this preview is synthetic and generated for illustration. It does not describe real batteries, real customers, or measured results.

VoltTrace · Fleet overview Demonstration data

Estimated state of health Monthly estimate with uncertainty range · dashed = projection to an operator-defined planning threshold
Estimate Uncertainty range Projection Planning threshold (example)
Cell temperature · last 30 days Daily average and maximum
Average Maximum Review level (example)
Charging history · last 14 days Energy charged per day (kWh), by charge rate
Standard rate High rate

Alerts

    Maintenance records

      Synthetic demonstration data. Health values are model-style estimates shown with ranges, not measurements. Thresholds shown are examples an operator would set.

      The problem

      Operators have the data. Interpreting it is the hard part.

      Battery management systems record voltage, current, and temperature continuously. Turning years of that telemetry into a clear view of how assets are ageing — and what to do about it — often falls to spreadsheets and individual judgement.

      Limited fleet visibility

      Data often sits in separate BMS portals, site loggers, or vehicle platforms. Comparing asset condition across sites, vehicle types, or customers is slow, so outliers can go unnoticed.

      Inconsistent maintenance planning

      Inspections are frequently scheduled by calendar or triggered by faults rather than by observed condition. Records are scattered, making it hard to link interventions to later behaviour.

      Uncertainty around degradation

      Capacity fade depends on chemistry, temperature exposure, depth of discharge, and charge rates. Without a consistent method, replacement budgets and warranty conversations rely on rough assumptions.

      Planned features

      Built around the decisions operators actually make.

      The capabilities below describe the product we are building. Scope will be refined with pilot partners.

      Battery fleet overview

      Every connected asset in one list, with segment, chemistry, estimated health, and open alerts — filterable by site, vehicle group, or customer.

      Temperature & charging analysis

      Summaries of thermal exposure, charge rates, depth of discharge, and cycling patterns — the operating factors most associated with ageing.

      Degradation trend estimates

      Estimated state-of-health trends shown with uncertainty ranges, so teams see both the likely direction and how confident the model is.

      Unusual behaviour alerts

      Flags for patterns worth a closer look — such as rising temperature spread or faster-than-peer capacity fade — routed for human review.

      Maintenance records

      Inspections, part swaps, and firmware updates logged against each asset, so condition trends can be read alongside what was done.

      Replacement planning support

      Projections against thresholds you define, to help schedule inspections and budget for replacements. Final decisions stay with your engineering team.

      How it works

      From raw telemetry to a maintenance shortlist.

      1. 01

        Connect compatible battery data

        Ingest telemetry and historical exports from supported BMS and data sources. Compatibility is confirmed per system during pilot scoping.

      2. 02

        Analyse operating history

        Clean and align the data, then summarise temperature exposure, charging behaviour, and cycling for each asset.

      3. 03

        Estimate trends

        Apply degradation models to estimate state-of-health trends and flag unusual behaviour, with uncertainty shown explicitly.

      4. 04

        Review maintenance priorities

        Your team reviews a ranked list of assets to inspect, records actions taken, and plans replacements against its own criteria.

      Planned AWS architecture

      A straightforward, auditable data path.

      This is the intended design for the first release. It is not yet in production and may change as pilots reveal data and integration requirements.

      Planned VoltTrace architecture on AWS Battery management systems send telemetry to AWS IoT Core. Telemetry is stored in Amazon S3. Amazon SageMaker AI reads historical data from S3 to build degradation models. Estimates and asset and maintenance records are held in Amazon RDS, which the VoltTrace application reads. Battery sites compatible BMS / gateways AWS · planned AWS IoT Core telemetry ingestion Amazon S3 historical storage SageMaker AI degradation modelling Amazon RDS assets · maintenance · estimates VoltTrace web app MQTT/TLS raw training estimates
      Telemetry

      AWS IoT Core

      Receives device and gateway telemetry over authenticated connections.

      Storage

      Amazon S3

      Holds raw and processed operating history for analysis and model training.

      Modelling

      Amazon SageMaker AI

      Trains, evaluates, and runs degradation models; model versions are tracked.

      Records

      Amazon RDS

      Stores asset profiles, maintenance records, and the estimates shown to users.

      Model limitations

      Estimates, not certainties.

      Battery degradation modelling is useful when its limits are clear. Here is what our estimates depend on and what they are not for.

      Data quality

      Sampling rate, sensor accuracy, gaps, and the length of available history all affect estimate quality. Sparse or noisy data produces wider ranges — or no estimate at all.

      Battery chemistry

      LFP, NMC, and other chemistries age differently. Models must be matched and calibrated to the chemistry and cell format in use; unsupported chemistries will be identified during scoping.

      Validation

      Estimates need to be checked against reference measurements such as capacity tests. We plan to validate with pilot partners and report accuracy per deployment rather than claim general figures.

      Operating context

      Unusual duty cycles, repairs, or configuration changes the platform is not told about can shift results. Maintenance records help, but cannot capture everything.

      About

      An early-stage company, being clear about where we are.

      VoltTrace is building analytics to help battery operators understand long-term degradation and plan maintenance with more confidence. We are currently in development: the product shown on this site is a concept, and we are looking for a small number of pilot partners to shape it with real data.

      We have no production customers yet, and we do not hold safety certifications for the platform. Hardware compatibility will be assessed system by system.

      Legal entity
      [Company legal name]
      Registered address
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      Company number
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      Team
      [Founder names and roles]

      Development status

      1. Product concept

        Problem research, interface concept, and planned architecture.

      2. Pilot scoping — current

        Talking with operators about data access, chemistries, and priorities.

      3. Pilot deployments

        Connect partner data, validate estimates against reference tests.

      4. General availability

        Timing depends on pilot results.

      FAQ

      Common questions

      Is VoltTrace available today?

      Not yet. VoltTrace is in development. The product preview on this site uses demonstration data. We are currently scoping pilots with a small number of operators.

      Which battery systems and BMS brands are supported?

      We don't claim universal compatibility. Support depends on what data a BMS or gateway can export, how often, and in what format. We assess each system during pilot scoping and will be direct if it isn't a fit.

      How accurate are the health estimates?

      We don't publish accuracy figures yet because we haven't validated models on partner data. Accuracy will depend on data quality, chemistry, and available reference measurements, and we plan to report it per deployment with uncertainty ranges shown in the product.

      Will VoltTrace extend battery life?

      We make no such claim. VoltTrace aims to give operators better information for inspection and replacement decisions. Any operational changes, and their effects, remain the operator's decision.

      Can VoltTrace alerts replace our safety systems?

      No. VoltTrace is decision support only. Battery management systems and other protective equipment remain responsible for safety and protective control.

      What does a pilot involve?

      Typically: agreeing on a set of assets and the data available, a secure data-sharing setup, a period of analysis, and joint review of estimates against your own records and tests. Scope and terms are agreed with each partner.

      How will our data be handled?

      Data handling, retention, and access terms will be agreed in writing before any data is shared. The planned platform runs on AWS; region and security controls will be confirmed with each pilot partner.

      Contact

      Discuss a pilot

      If you operate stationary storage, run an EV fleet, or service batteries for others, we'd like to understand your data and the decisions you need to make.

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