Ask your battery data
anything.

Connect your cycler and ask a question in plain English, or dig into the data yourself. The AmpereData agent runs the analysis for you. Live dashboards, per-cell analytics, and a full data explorer are always a click away.

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We support these cyclers

Agentic analysis

An agent that runs
the whole analysis.

Ask a question the way you'd ask a colleague. The agent plans the steps, queries your cycler data, computes the metrics, generates the plots, and hands back a written answer you can check line by line.

Plain-English queries. No SQL, no notebooks, no exporting CSVs at midnight.

Every step is shown. See exactly which data it pulled and how each number was computed.

Runs on your data only. The agent reads your lab's tests it isn't trained on them.

AmpereData Agent online

Which cells are fading fastest, and what's driving it?

Queried cycle data

4 cells · 831 cycles · 2.1M points

Computed capacity fade & dV/dQ

per cell · normalized to C/3

Plotted capacity vs. cycle

cells A–D overlaid

▬ BAT-003 ▬ BAT-001/002/004

BAT-003 is fading ~2.1× faster than the rest 0.42%/cycle vs. ~0.20%. Its dV/dQ peaks are shifting left, which points to lithium inventory loss rather than impedance rise. The other three cells track together within tolerance.

Add to report Open in explorer

Ask about any cell, build, or run…

A real question, answered end to end. Try it on your data →

From raw file to finished report,
one platform.

Upload your data

Drop any cycler file and Ampere detects the format automatically. Column mapping, deduplication, and unit normalization run on ingest no scripts, no manual work.

Monitor live

Every active battery streams its latest cycle data in real time. Voltage, capacity, and ingestion status refresh every 5 seconds as tests run.

Explore per-cell

Capacity fade, dV/dQ, coulombic efficiency, and voltage curves per-cell. Compare cells side by side, run Ragone plots, and build custom charts in the data explorer or ask the agent to pull them for you.

Report and forecast

SOH today, end-of-life projected tomorrow. Scheduled PDF and notebook exports delivered automatically no manual slides the night before a review.

AmpereData / {{ frameTitle }} live

Upload Data

neware_20240618.ndax

247 cycles · 1.2M points

Neware

arbin_batch_07.csv

183 cycles · 948K points

Arbin

maccor_nmc811.xlsx

Mapping columns…

.ndax.txt.xlsx.csv

Live Dashboard

Batteries

Ingesting

pts/s

847

Battery Cycle Voltage Status

BAT-001 247 4.19 V

live

BAT-002 183 3.82 V

live

BAT-003 312 idle

BAT-004 89 idle

⬤ auto-refresh · 5s

BAT-001 · Analytics

Coulombic Eff.

99.42%

Capacity Fade

−8.4%

Capacity vs. cycle · Cells A–D

Reports

NMC811 Formation Q1

Jun 21, 2026 · 247 cycles

PDF

80% SOH threshold

EOL: cycle 1,240

± 34 cycles

Silicon-C Characterization

Jun 18, 2026 · 89 cycles

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Existing tools were built for the enterprise.
Battery labs got left managing spreadsheets.

Six-figure platforms assume you have a data team and an IT department. Most battery labs don’t. Researchers end up exporting CSVs at midnight, copying build parameters into notebooks by hand, and losing traceability between cell builds and test results. Ampere closes that gap.

$299

/mo

Starting price a fraction of what enterprise platforms charge.

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From first file upload to a live dashboard with your data in it.

cyclers

Neware, Arbin, Maccor, BioLogic, and Ivium supported out of the box.

An analysis agent, and the platform under it.
Nothing bolted on.

Live time-series analytics

Voltage, capacity fade, dV/dQ, coulombic efficiency, and Ragone plots every channel, every cycle. Build custom charts yourself or let the agent pull them.

Electronic lab notebook

Log experiments, track projects, manage cells and materials linked to the data they produced.

Experiments Projects Cells Materials

Live monitoring

Real-time ingestion status, auto-refresh dashboards, and per-channel streaming as tests run.

Build sheets

Document cell assembly and link batteries to builds full traceability from electrode to test result.

Data explorer

Browse every table, write SQL queries, and export your data in any format. Full manual control when you want it.

Browse tables · SQL editor · CSV export

Automated reports

Scheduled PDF and notebook exports for every program generated and delivered without lifting a finger, or on demand from the agent.

weekly.pdfsummary.ipynb

Pull clean data into your stack

Python MATLAB R Excel

Flexible deployment

Managed cloud or fully on-premise your data stays where it needs to.

Transparent pricing.
No sales call required.

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Questions, answered.

Request a live demo.
See it on your own data.

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We’ll reach out within one business day to schedule your demo no sales gauntlet, just an engineer and your data.

An agent that runsthe whole analysis.

From raw file to finished report,one platform.