R&D INTELLIGENCE FOR LEADING BATTERY LABS

Better cells, fewer cycles: faster results.

Every cell you measure sharpens the model that picks your next experiment. Evidence over intuition accelerating optimization.

Private beta · onboarding design partners only
You're on the list. We'll reach out as the next beta cohort opens.
Data from any cycler parsed natively — your database: open and without the lock-in
BioLogicNewareArbinMaccorGamryBasytecDigatronLandChromaPECIviumMetrohm BioLogicNewareArbinMaccorGamryBasytecDigatronLandChromaPECIviumMetrohm
01 · Speed

Optimized results, with >70% fewer experiments.

One cycling run blocks a channel for 1–2 weeks. Amplytics proposes the next experiment with the highest information gain — so every week of channel time moves you forward.

02 · Understanding

Know what truly drives performance.

Statistically-checked correlations rank which formulation and process parameters actually impact performance — and surface the phenomena no single experiment shows.

03 · AI-native

Your lab, your data — AI-native by default.

All your data, structured in one database you own — queryable by Claude, OpenAI or your own scripts over a live MCP server. A full project report in under a minute.

What it is

The data platform accelerating battery R&D.

app.amplytics.org / C-F01-C03 / upload
Amplytics upload — the file is recognised, measurement type determined, missing data calculated, filters applied and written to the database
0.4s Format, protocol and channels detected automatically — extracts, compares and matches metadata autonomously.
app.amplytics.org / C-F03-C03 / QA & measurement details
Amplytics sample detail — voltage vs capacity chart, sample info, QC insights with flags, and the measurements table
QC Quality-checked on upload — every flag tied to the exact cycle that caused it.
app.amplytics.org / Project datasets
Amplytics project dashboard — samples table with capacity, CE and cycle counts across the NMC622 cathode screening campaign
Structured Every sample in the workspace, comparable on shared axes — clean, queryable, model-ready.
app.amplytics.org / NMC622 / S-0147 / insights
Amplytics decision support — the insights panel proposes the next measurement: rate performance on Li₂S annealed at 130 °C, with expected information gain
Next run The campaign model proposes the highest-information next measurement — reasoning attached.
Why now

The next decade of battery R&D goes to the teams whose data can train models. Most teams' data can't.

The problem

Right now, your best data dies in a folder.

The bottleneck isn't running experiments — it's trusting, comparing and acting on what comes out.

Without Amplytics
  • Every group exports a different format. Parsing scripts rot and break with each firmware update.
  • Quality control is manual and inconsistent. Bad cycles slip into conclusions and nobody notices for weeks.
  • Experimental drift is caught late. By the time you see it, you've burned weeks of channel time.
  • Every tool creates another silo. Cycler software, ELNs and spreadsheets each hold a fragment — and none of them talk to each other.
With Amplytics
  • One ingestion path, maintained by us. Data from any instrument: mapped and transformed to the same standard schema.
  • Every number comes with its uncertainty. Confidence, significance and anomaly flags: tied to the exact cycle that caused them.
  • The next experiment proposed from data. The data from your cells recommends what to measure next, avoiding wasted channel time.
  • Deep integration into YOUR system. Adapted to your IT, security, software and governance needs. No yet another data silo.
Founding lab
"Deciding what to measure next always felt ambiguous — we lost weeks on samples that added no real insight. Seeing our cells as one mapped parameter space changes how we plan experiments."
CP
Christian Prehal
Co-founder & Principal Investigator
>0%
Faster optimization of material parameters
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Of your lab's data in one database — every result traceable to its raw source
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From question to full project report — via MCP, in Claude or your own scripts
How it works

Watch a measurement become intelligence.

One raw file is all it takes — scroll to follow it through the loop.

  1. 01UploadDrag in a raw file — BioLogic .mpr, Neware .xlsx or .csv. No vendor software, no export step.
  2. 02Raw signalEwe vs capacity, parsed straight off the instrument file.
  3. 03ValidatedCycles screened for anomalies — CE outliers flagged, exclusions under your control.
  4. 04StructuredNormalised into one comparable, queryable dataset — every value linked to its raw file.
  5. 05InsightKPIs with confidence intervals, ranked correlations — and a proposed next experiment.
SiGr-anode_C03.mpr UPLOAD
Drop a raw measurement to begin
.mpr · .xlsx · .csv · straight from the instrument
SiGr-anode_C03.mpr
Insight ready. First-cycle loss isolated at 11.4%; fade tracks SEI growth. Recommended next run — rate performance · Li₂S annealed at 130 °C.
scroll to transform
Capabilities

What makes it powerful.

Underneath the loop sits the depth a battery R&D team actually relies on.

Protocol recognition

GCPL, OCV, EIS and more, detected from the file — no manual tagging.

Agent-ready by design

A live MCP server and public API — your AI agents query the same provenance-backed numbers you see.

Rigorous correlations

Which variables move which KPIs — Spearman with false-discovery correction, real p-values, per-cell drill-down.

Shared workspace

Projects, samples and measurements your whole team reads from.

Audit trail

Every computed value links back to the raw file and step it came from.

Secure by design

Role-based access, invite-only workspaces and your data isolated per workspace.

Your custom infrastructure

Amplytics adapts to your hosting, database, storage and backup requirements — on-premise on your servers, managed hosting, or private cloud. Our setup service integrates it with the systems you already run.

Who it's for

Built for the people who live in the data.

From the bench to the boardroom, everyone works from the same source of truth.

Two engineers reviewing a pouch cell beside voltage curves

Battery labs

Drop a file, get quality-checked chart, auto generate KPIs, talk to your data with AI.

Researcher preparing coin cells at a glovebox in an academic battery lab

R&D teams

One workspace, several researchers, multiple campaigns, and connected data.

Data lead at a dual-monitor workstation beside instrument racks

CIOs & data leads

One governed, AI-ready platform: your needs, your infrastructure, your security - one source of truth.

Battery scientist loading a coin cell into a multi-channel cycler

Academic labs

Rigorous, citable analysis: every number traceable from raw file to claim.

Use cases

What teams run on Amplytics.

Lifetime

Lifetime & degradation studies

Track capacity fade, cycles-to-80% and CE over hundreds of cycles — with model-fitted fade laws, not eyeballed trends.

Formation

Formation & protocol optimisation

Compare formation recipes side by side and converge on the protocol that holds capacity best.

Optimisation

Formulation & process screening

Rank which formulation and process variables actually move performance — then let the model propose the next batch.

GET STARTED

Bring your data backlog.

Your journey starts with the data you already have. We migrate your historical files — regardless from which cycler — into one provenance-backed database during week one. Years of past experiments, queryable by your team and your AI tools from day one.

Your database, your infrastructure, one schema.

Private beta

Be one of the first and join the beta.

We're onboarding a small group of design partners. Beta users get white-glove onboarding, their instrument formats supported first — and a real say in the roadmap.

Selected onboarding · small teams & pioneers
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