Battery materials

Every battery material, traceable from powder to cell

For scientists and R&D leaders developing cathodes, anodes, electrolytes, and next-generation cells, from first experiment through scale-up.

Bodie

ALL PROJECTS
high-nickel cathode, 4.3 V, ≥85% after 500 cycles
Ni ≥ 80% 4.3 V cutoff 500-cycle retention ≥ 85%
BATCHPROJECTCAPACITYRETENTION
NMC811-0412 v7Al₂O₃-coated, made 2025Ni-rich coatings203 mAh/g91.2%
NMC811-0367 v4Zr-doped, made 2024Dopant screen198 mAh/g89.5%
NMC90-0451 v2LiNbO₃-coated, made 2025NMC90 scale-up214 mAh/g86.1%
3 matches from every project and year, with cycling data attached.
Raw material to cell
full barcoded traceability
DOE and predictive ML
built in from day one
Voltage curves, dQ/dV, EIS
full cycling data preserved, not flattened

Deployed by 175+ enterprise product development teams

Lohmann logo with green abstract cross and tagline The Bonding Engineers in black text.
Dow company logo with white text on a red diamond-shaped background
Syngenta company logo with a green leaf above the letter g.
Beiersdorf
Clariant
Braskem company logo with stylized yellow and blue arrow design.
Total Energies Logo
St Jude Logo
Lubrizol company wordmark logo with blue curved line underneath the text.
Lohmann logo with green abstract cross and tagline The Bonding Engineers in black text.
Dow company logo with white text on a red diamond-shaped background
Syngenta company logo with a green leaf above the letter g.
Beiersdorf
Clariant
Braskem company logo with stylized yellow and blue arrow design.
Total Energies Logo
St Jude Logo
Lubrizol company wordmark logo with blue curved line underneath the text.

Deployed by Enterprise R&D and Innovation Teams

Nothing gets lost between steps

Battery R&D generates enormous, heterogeneous data, from cathode synthesis and cell builds to cycling results and characterization, across early experiments through multi-million-dollar scale-up. When sample tracking and results live in spreadsheets, the structure-process-property relationships that drive performance get lost. Uncountable gives barcoded traceability from raw material to result, so every cycling curve traces back to the exact powder and process that produced it.

The workflow behind the chemistry

Battery teams trace every result to its material, keep structure-process-property links intact, and carry context from early experiments through scale-up.

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Trace every result to its material: Barcoded traceability from raw material through precursor and electrode to cell.

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Keep structure-process-property links: Connected, structured data that predictive ML can work on.

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Carry context from bench to scale-up: Early-stage data stays usable when a program moves to production.

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When a full cell underperforms, you can trace it back through cathode, anode, electrolyte and separator at once and find the cause before scale-up makes it expensive.
Stage-Gate board showing Development phase with 4 projects: SPF 50 reformulation (140 experiments, 32 days, on track), UV-cure primer platform (212 experiments, 41 days, on track), Legacy tackifier swap (68 experiments, 90 days, stalled), and Recycled-content binder (0 experiments, 12 days, not started). Gate 3 criteria include formulation frozen and regulatory dossier drafted as met, with scale-up trial plan approved and cost model validated pending.
From first synthesis to pilot line, battery teams work from one bill of materials and one record, so every change between coin cell and production is visible.

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1. Synthesize & track

Barcoded traceability from raw material through precursor to electrode and cell.

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2. Test & characterize

Full voltage and capacity curves, dQ/dV, coulombic efficiency, and EIS stay with the sample that produced them, not flattened to a single number.

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3. Design

DOE and predictive ML narrow cathode, electrolyte, and cell candidates to the ones worth building.

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4. Scale

Carry the full record from early experiments into multi-million-dollar scale-up.

Project management interface for 'Launch signoff' in the Waterborne Topcoat V24 project, stage 3: scale-up & validation. It shows 4 prior approvals, 4 reviewers, and 6 days open. A section invites leaving a review for launch signoff with options to Approve, Reject, or Comment. Prior approvals list completed tasks with dates and approvers: formulation sign-off, regulatory pre-screen, scale-up trial readiness, and quality risk assessment. The current stage is 3: scale-up & validation, next stage is 4: launch readiness, with target launch in February 2027. The interface user is Dana Whitmore, who has a profile icon at top right.
Everything battery R&D needs on one connected platform, including the sourcing and compliance data regulators and customers now require:

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  1. Battery passport & compliance data: Recycled nickel, cobalt, and lithium content, cradle-to-gate carbon footprint, and certified supplier lots held on the same record.
  2. ELN: Structured, searchable records, not free-text notebooks.
  3. LIMS for R&D: Sample tracking with barcoded traceability from raw material to result.
  4. LIMS for quality: Root cause, deviation, and CAPA at production scale, with live SPC.
  5. Product Lifecycle Management (PLM): Move a material from R&D to production with stage-gate approvals and version control
Project management dashboard for Waterborne Topcoat V24 showing milestones and tasks in the initiation and scoping stage. Tasks total 8 with 2 completed, 2 in progress, and 4 not started. Tasks listed include Initial Process Flow Diagram and Raw Material Availability Check marked in progress, Product & Packaging Dev Brief, Regulatory/Compliance Pre-Screen, Voice of Consumer Document, Stakeholder Kickoff Review not started, and Competitive Benchmark Summary, Cost Target Alignment completed. Stage milestones with targets and dates are Initiation complete on Jul 12, 2026, Formulation kickoff on Jul 19, 2026, and Scale-up trial on Oct 24, 2026. Two tasks, Raw Material Availability Check and Regulatory/Compliance Pre-Screen, are marked at risk and blocking the stage.

Before and after Uncountable

The traditional way

Cell builds and cycling data in spreadsheets
Samples tracked manually
Structure-process-property links lost
Early data unusable at scale-up
Project tracking disconnected from the lab

The Uncountable way

Unified workflows with full traceability
Barcoded raw-material-to-result traceability
Connected data with predictive ML
A foundation built to scale from day one
One data layer from portfolio to experiment

What our customers say

Mitra Chem company logo with a green battery icon and dark blue text.
“Uncountable saves us hours each week by eliminating manual data handling and simplifying collaboration. Our scientists spend less time tracking down information and more time developing better materials.”
Marie Herring, Engineering Manager, Mitra Chem, 2025
Group1.ai text logo in blue font.
“Uncountable has been instrumental, providing rapid insights and fostering swifter, more transparent learning.”
Alexander Girau, Co-founder and CEO, Group1, 2023

The full stack for battery development

Every battery R&D team runs ELN, LIMS, cycler data, and reporting somewhere, usually in four different places. Uncountable puts them on one record, so nothing gets re-entered, re-exported, or lost in translation.

Integrated ELN + LIMS
Barcoded sample traceability
Voltage curves, dQ/dV & EIS
Battery cycler integration
Predictive AI & ML optimization
Design of experiments (DOE)
High-throughput workflows
Reporting & dashboards
Live SPC
Inventory management
Automated data ingestion
Electrode & slurry formulation
Supplier lots & CoAs
Specs & QC release
Material-to-performance correlation

Get the data right before you scale

In battery materials, a broken data foundation shows its cost at scale-up: when early experiments can't be trusted or traced. Get the structure right early, and a capital-intensive expansion gets less risky, not more.

BEFORE THE LAB WAS OPERATIONAL
Build the data foundation

Mitra Chem adopted Uncountable before its lab was even running, structuring data and building barcoded traceability from raw materials to results on day one. Not retrofitted later.

SCALING TO PRODUCTION
Scale with confidence

That foundation now supports a $100M DOE-funded manufacturing expansion; full lineage from powder to cell, carried straight into scale-up.

Built around your chemistry

One platform for every program battery teams develop and scale, configured to the data each one generates:

Cathode materials

NMC, LFP, and next-gen chemistries against cycling performance.

Anode materials

Graphite, silicon, and composites, tracked from powder to cell.

Electrolytes

Formulation and stability linked to cell results.

Cell design & engineering

Build parameters and cycling data on one record.

Solid-state batteries

Novel materials and interfaces with full traceability.

Sodium- & potassium-ion

Emerging chemistries on the same structured foundation.

Recycling & sustainability

Recovered-material streams tracked end to end.

Characterization & testing

Instrument and cycling data preserved, not flattened.

Link every test, trace every cell

See how Uncountable connects battery materials, cell builds and test results, so you can design the next cell from your data.

Every result traces back to the powder that made it.

Barcoded lineage from raw material to cell keeps the structure-process-property links intact, so scale-up stands on data you can trust. Structure first, AI second.

FAQs

What does Uncountable do for battery materials R&D?

Uncountable connects R&D, Quality, and PLM on one platform and unifies lab workflows, sample tracking, and results for battery materials. Teams get barcoded traceability from raw material to cell, preserve full cycling and instrument data, and carry context from early experiments through scale-up.

How does it trace samples from raw material to cell?

Every sample carries barcoded traceability, so a raw-material lot, precursor powder, electrode, and finished cell stay linked to the cycling and characterization results they produced. A result is always traceable back to the exact material and process behind it.

Does it support DOE and predictive ML for cathode development?

Yes. Design of experiments and predictive machine learning are built in and grounded in your own connected data, so they narrow cathode, electrolyte, and cell candidates to the ones worth building. Structure first, AI second.

Does it include ELN and LIMS?

Yes. Uncountable includes ELN and LIMS functionality and goes further, connecting R&D, Quality, and PLM on one structured data model with full instrument-data capture and live SPC.

Can we bring in years of legacy data?

Yes. Historical experiments, results, and instrument files are migrated during implementation as part of data-integration design, using bulk ingestion, the REST API, and 400+ instrument connections, so past work becomes searchable in the same structured system as new experiments. Uncountable's implementation team works with your power users to map and structure historical files, so migration is a guided step, not a dump.

Bring your own battery data.

Skip the slides. Run your workflow.