Axioma Intelligence
Axioma Intelligence
Data · Action · Assurance
Battery & Energy Intelligence Platform

The operating system for the battery & energy lifecycle.

Site development, simulation, diagnostics, and compliance — from the first parcel of land to second life, in one platform.

$790B
TAM by 2034
31
Integrated modules
Feb 2027
EU Battery Passport
NVIDIA Inception Program member
NVIDIA Innovation Lab Award
Building and testing our models on an eight-GPU NVIDIA H100 supercomputer — screening tools for battery materials, lithium battery shipping safety, and energy site intelligence.
Battery materialsShipping safetySite intelligence
For Operators · Insurers · Investors
One platform, every battery decision.
Cell to portfolio. Connected data, consistent answers.
Platform overview
31 integrated modules
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Partners & customers
ACTIVEBRIDGE · PARTNERSHIP CORRIDOR

In production with industry partners.

Axioma Intelligence is being deployed under NDA with manufacturers, operators and insurers across the battery value chain. Our first European deployment partners:

01 / 02European technology partnerEU rolloutUnder NDA
Asia-headquartered ODM battery & BESS manufacturer

Vertically-integrated cell-to-pack manufacturer scaling EV batteries, container-scale BESS and next-gen perovskite PV into European markets — with Axioma Intelligence as their platform partner for compliance, diagnostics and second-life.

02 / 02Operations & risk partnerNordicsUnder NDA
Small Northern European BESS provider

Boutique battery storage developer-operator deploying behind-the-meter and grid-edge BESS across Northern European markets — using Axioma Intelligence for asset health, dispatch optimisation, warranty tracking and insurer-grade risk reporting.

8
Domains live
2
Continents
R&D → 2nd-life
Stack

Customer name withheld during commercial onboarding. Named references available on request.

NVIDIA Inception Program member
Innovation Lab Award
60-day NVIDIA H100 programme · first governed runs July 2026
Battery materialsShipping safetySite intelligence
What you get

Evidence produced once, used everywhere it is needed.

Most battery data is produced once and used once. A cell test settles a question in a lab report. A terrain study settles an argument in a planning meeting. A cost basis wins a board paper — and then each one stops. The next person who needs that number derives their own version, from worse inputs, and defends it from scratch.

We build for the opposite. One record, many readers: the work that establishes a fact happens once, and every discipline downstream reads it in its own language, with its origin and its grade still attached.

The principle, worked through
01 / 05
Produced once
One costed site design
Drawn quantities and layout-derived civils, each with its grade
Reads it
An EPC scope package
Reads it
A tender RFQ
Reads it
The finance capex basis
In the platform today

Example 1 of 5: One costed site design, read by An EPC scope package, A tender RFQ, The finance capex basis.

Three teams, three deadlines, three different questions — and one piece of evidence between them. Building the platform so that happens mechanically, rather than by someone remembering to send an email, is the whole design.

These five are seams that carry data today. Most of the chain's seams do not yet — a passport still does not price its own second life, and an operating history does not yet grade its own inventory. We would rather name the ones that work than imply the whole chain is joined up.

Stop re-deriving what someone else already established

A terrain analysis, a cell test, a cost basis, a risk score — established once, then available wherever it is needed, carrying where it came from and how good it is.

Reach a defensible decision in a sitting

From a parcel file to a costed site concept without leaving the platform — so you can screen far more candidates before committing survey and engineering budget.

Be able to prove it

Our standard is that a figure arrives with its source and its grade attached: screening estimates labelled as such, models that name themselves — a trail built for a regulator or a lender's adviser.

A better answer, not only a faster one

Physics and AI models calibrated to your cells and duty cycles cover more of the design space than manual checks — including the part you would not check.

Everyone on the asset on one record

Developer, EPC, owner, underwriter, lender, recycler — one project record read in each discipline's own terms, not nine spreadsheets that quietly disagree.

The deadline that is actually coming

EU Battery Passport, February 2027: the supply-chain thread that makes a passport real, not a form filled in at the end of the project.

Close the loop

What leaves an asset at end of life re-enters as graded inventory, as material and as evidence for the next one, not falling off the end of the chain.

And what it is not

Not a replacement for judgement

These are screening tools that narrow the field and show their working. Detailed engineering studies, ground surveys and professional underwriting judgement still make the final call — and we would rather tell you the grade of a number than let you assume it is better than it is.

Why this and not a better single tool

Anyone can build a better site designer, a better underwriting model or a better passport form. The hard part is making the output of each stage usable by the next one — without retyping it, and without losing where it came from. That is the product we are building. The modules are how it gets delivered.

Platform

One platform across the battery value chain.

Every capability is a cell of the same pack. Eight cells in series — R&D to compliance — wired to one source of truth.

CHAIN 
DATA
R&D
MFG
FIELD
GRID
RISK
2ND
COMPLY
LIVE
CELL 01
DATA

Unified data layer

BMS, lab, manufacturing, and field assets in one schema.

3.7V100% SoH
CELL 02
R&D

Physics & AI simulation

BattMo, ECM, and ageing models calibrated to your data.

3.6V100% SoH
CELL 03
MFG

Manufacturing insights

Defect analytics and yield, linked to field performance.

3.7V100% SoH
CELL 04
FIELD

Real-time diagnostics

SoH, thermal risk, and degradation for every cell and site.

3.8V100% SoH
CELL 05
LIFE

Warranty & lifetime intelligence

RUL forecasting, warranty shield, and degradation-mode diagnostics.

3.7V100% SoH
CELL 06
RISK

Risk analytics

Underwriting, claims prediction, and fleet benchmarks.

3.6V100% SoH
CELL 07
2ND

Second-life & circular

Repurposing, SoH-graded inventory, recycling logistics.

3.5V100% SoH
CELL 08
COMPLY

EU Battery Passport

Compliance-ready digital product passports.

3.8V100% SoH
BATTERY PACK · 8-STAGEENERGY FLOW
NVIDIA Inception Member · Innovation Lab Award
Our NVIDIA programme, in plain English

NVIDIA selected Axioma Intelligence for its Innovation Lab: a 60-day programme with dedicated time on an eight-GPU NVIDIA H100 machine — the class of computer used to train today's leading AI systems. We use that machine to build and test the models behind our platform. The first fully governed runs completed in July 2026, and the current sprint runs through August 2026 across three areas.

Battery materials
Designing better battery cells

We run thousands of detailed physics simulations of battery cells, then use the results to teach a fast AI model that gives near-instant answers. Questions that took seconds or minutes of computing now take milliseconds — quick enough to power the interactive battery materials design tool inside our platform. Next, we plan to bring in NVIDIA BioNeMo molecular models to help screen the chemical ingredients of new electrolytes.

Why it matters: Engineers can explore far more design options in the time it used to take to check one.

Shipping safety
Safer shipping of lithium batteries

The programme's original use case, developed with an insurance design partner. We built an AI model that helps assess the risk of shipping lithium battery cargo, trained on a million example shipments constructed from public incident records and the official rules for transporting batteries. Alongside it sits a catastrophe model — the kind insurers use to understand hurricane exposure — purpose-built for portfolios of battery storage sites.

Why it matters: Underwriters get a consistent, evidence-based starting point for battery risk.

Site intelligence
Finding and valuing energy sites

We analyse satellite elevation data to read the shape of the land — slope, buildable area, and how much earth would need moving — and combine it with around 30 public datasets on grids, planning and markets. A market model tuned for NVIDIA GPUs then estimates what a battery site could earn across several electricity markets at once.

Why it matters: Developers see early whether a site is worth pursuing, before commissioning full studies.

What's next

The July–August 2026 sprint scales up the battery simulation campaign, brings NVIDIA BioNeMo molecular models into materials screening, and deepens the terrain and market models behind site intelligence.

A note on honesty

These are screening tools: they make experts faster, they don't replace them. Detailed engineering studies and professional underwriting judgment still make the final call.

Why now
Regulatory
Feb 2027
EU Battery Passport mandatory
Market
$790B
Battery & storage TAM by 2034
Market
~30%
Annual GWh deployment growth
Project development

From a parcel file to a bankable site concept.

Battery storage projects usually live across a dozen disconnected tools — GIS here, spreadsheets there, CAD somewhere else. Ours is one flow on one project record: every step below reads from and writes to the same project, so nothing gets lost between teams.

STEP 01

Import or draw the site

Start from a parcel file or draw the site boundary straight onto the map. Designs round-trip losslessly — what you import is what you export.

STEP 02

Screen the land

Terrain analysis from satellite elevation data — slope, buildable area, how much earth would need moving — plus flood, planning and grid constraints from around 30 public datasets.

STEP 03

Lay out the plant

Place batteries, inverters and transformers from a vendor component library with true physical dimensions, and preview the design in 3D.

STEP 04

Cost and revenue screening

Indicative build costs from the layout you drew, and a screening estimate of what the site could earn across electricity markets.

STEP 05

Hand off to finance & EPC

The costed concept flows into the finance business case and EPC tendering — same project record, no re-typing.

Why it matters

A developer goes from a parcel file to a costed, bankable site concept in one sitting — and can screen many more sites before deciding where to spend real survey and engineering budget.

Screening-grade by design

Costs and revenue here are screening estimates to focus effort, not final numbers. Ground surveys, grid studies and expert judgment still make the investment decision.

The advantage

A model earns its place two ways: it removes a wait, or it changes a decision.

Those are different mechanisms and we argue them separately, because a model that does neither is decoration. Below, each example says which of the two it does — and what is in the platform today, at what grade.

Time to market

A wait removed

A wait for compute, a wait for a specialist, or a wait for a document to be read. The claim is about elapsed time to a decision of the same quality — not about cutting corners to get there sooner.

Deciding whether a parcel is worth a survey

Usually
The site waits on a specialist terrain study, and then on somebody building a cost spreadsheet, before anyone can say whether it deserves survey budget. Marginal sites get looked at last, or never.
With Axioma
Draw or import the boundary. The platform reads slope, buildable area and how much earth would need moving from satellite elevation data, you lay out real components at their true dimensions, and an indicative cost and revenue range comes back in the same sitting.
In the platform todayScreening-grade

Exploring a cell chemistry

Usually
Every candidate design is a physics simulation you queue and wait for. You check the handful you can afford, and never see the shape of the space around them.
With Axioma
A model trained on thousands of those simulations answers in the time it takes to move a slider, so you sweep the range first and spend the slow, exact run on the shortlist. The deterministic projection stays the number of record; the fast model's answer sits beside it, labelled as what it is.
NVIDIA Innovation LabShown alongside the deterministic result

Handing a design to the people who build it

Usually
The EPC team and the tender team retype a bill of plant the project already holds. From that moment there are several versions of the quantities and no agreement on which one is current.
With Axioma
The costed bill of plant crosses as one artefact: the drawn quantities, the road, fence and earthworks volumes derived from the layout rather than typed, the evidence grade of each figure — and a named list of what the design does not yet hold, instead of a silent gap.
In the platform today
Product quality

A decision changed

Either it searches a space too large to search by hand, or it sees a signal nobody reading a spec sheet would catch, or it makes a judgement consistent where it used to depend on who ran it.

Pricing a lithium battery consignment

Usually
Two underwriters price the same shipment differently, because each weighs packaging, route and carrier record from their own experience. The file ends up recording the number, not the reasoning.
With Axioma
Every submission starts from the same evidence-based assessment, trained on a large set of example shipments constructed from public incident records and the official rules for transporting batteries. Where the register holds too few comparable shipments on a lane or a carrier, it reads insufficient history and contributes nothing — rather than inventing a midpoint.
In the platform todayScreening-grade

Answering a warranty question about one pack

Usually
Remaining life comes off a generic curve in a datasheet, so the argument about warranty exposure is really an argument about whose curve to use.
With Axioma
The platform reconstructs that pack's own duty cycle from its telemetry, replays it through an equivalent-circuit model and estimates remaining useful life from a published lifetime model. When the underlying data is simulated rather than measured, it caps the confidence it reports and shows you the cap.
In the platform today

Getting a project through due diligence

Usually
A checklist records what a reviewer asserts. Which of those assertions the project can actually evidence is discovered when a lender's adviser asks — which is the worst moment to find out.
With Axioma
The platform reads the project's own records — design, terrain analysis, cost basis, finance and revenue cases, risk assessments, document workspace — and marks each requirement present, partial, missing or stale, naming the artefact that satisfies it and what to do next. It never records a pass it cannot quote a record for.
In the platform todayNot legal or financial due diligence
How we label a model

A capability appears in the platform only when it is real, labelled with its grade, and falls back honestly. A model never quietly replaces the deterministic calculation it sits beside — that stays the number of record, and the model's answer is kept next to it. When a model is unavailable you see the deterministic result, not a different class of answer wearing the same badge.

About the examples above

They are illustrative. They describe how a piece of work changes shape — not a measured saving from a named customer. We do not publish percentages or hours-saved figures we have not measured, and our design partners stay anonymous while commercial onboarding is under way.

Periodic table of modules

31 elements, one platform.

Every module is a building block. Combine them across the value chain — from cell to portfolio.

01
Bi
BESS Investment Portal
BES
02
Lo
Location Intelligence
GEO
03
Sd
Site Designer
CAD
04
Ri
Revenue Intelligence
ARB
05
Fp
Finance Portal
FIN
06
Dd
Due Diligence
DD
07
Ra
Risk Analytics
TER
08
Th
Tender Hub
BID
09
Ep
BESS EPC
EPC
10
Bm
BESS Management
GRD
11
Ts
Telemetry Simulator
BMS
12
Sp
Solar Pulse
PV+
13
Ar
Asset Register
FED
14
Ev
EV Battery Health
SoH
15
Dt
Digital Twin
TWN
16
Pi
Production Insights
SPC
17
Ss
Shipping Safety
ADR
18
Rh
Research Hub
PRJ
19
Me
Material Engine
SIM
20
Pe
Physics Engine
P2D
21
Cs
Cell & Module Simulations
CCV
22
Ca
Cell Ageing Model
EOL
23
Ec
Cell ECM
RC2
24
Dn
Data Nexus
ETL
25
Ai
AI Orchestrator
LLM
26
Bp
Battery Passport
EU
27
Sl
Second Life Hub
2L
28
Wm
Warranty Manager
WTY
29
Ct
Carbon Tracker
CO₂
30
Ip
Investor Portal
IR
31
Ps
Products & Services
CAT
LEGENDProject DevelopmentOperations & Asset PerformanceEngineering & R&DData & AIGovernance & LifecyclePortals31 elements active
Use cases

One platform, nine perspectives.

The same battery data, translated into each stakeholder’s workflow. Hover the orbit or a card — they’re wired together.

1/ 09
Project developers

Parcel file to bankable site concept

Import a boundary, screen terrain and constraints, lay out the plant, screen costs and revenue.

Site design + cost + revenue screening
2/ 09
Insurers

Underwrite battery risk with real data

Live BMS-driven thermal-event risk and claims likelihood, not spec sheets.

Risk scoring + claims prediction
3/ 09
Investors & financiers

Price storage on actual performance

Due-diligence, residual-value, and portfolio risk for BESS and EV batteries.

Asset-level cash-flow modelling
4/ 09
OEMs

Close the loop, manufacturing to field

Trace defects and warranty claims back to cells, lots, and processes.

Defect-to-field traceability
5/ 09
Fleet operators

SoH on every vehicle battery

Health, second-life eligibility, and predictive maintenance at fleet scale.

SoH + RUL on every pack
6/ 09
Renewable operators

Forecast, dispatch, trade with confidence

Weather + demand + battery state, optimised for co-located storage.

Forecast + dispatch + trading
7/ 09
Recyclers & second-life

Grade, repurpose, resell at scale

SoH-graded inventory, application-fit matching, circular passports.

SoH-graded inventory
8/ 09
R&D teams

Simulate before you build

BattMo, ECM, and ageing simulators calibrated to your test data.

Physics + AI co-simulation
9/ 09
Regulators

Audit-ready EU Battery Passport

Materials, carbon, and lifecycle structured to EU 2027 requirements.

EU Battery Passport ready
Services

Software, plus the team to make it land.

Battery intelligence isn’t plug-and-play. We bring the engineers, scientists, and operators with it.

S01

Platform deployment

Stand up Axioma in your environment, integrated with your stack.

  • Multi-tenant or dedicated cloud
  • BMS / SCADA / ERP integrations
  • SSO, RBAC, audit logging
S02

Custom modelling

Calibrate ageing, ECM, and physics to your cells and duty cycles.

  • Cell-specific ageing fits
  • Duty-cycle simulation
  • Calibration against field BMS data
S03

Compliance & passport

End-to-end EU Battery Passport implementation.

  • Regulation gap analysis
  • Supplier data onboarding
  • Audit-ready submission packs
S04

Advisory & training

Workshops with engineering, operations, finance, and risk teams.

  • Stakeholder workshops
  • On-site enablement
  • Quarterly business reviews
Bespoke engagement

Tell us what you’re trying to solve.

We scope to OEMs, insurers, financiers, and operators.

info@axioma-intelligence.com
About us
Two strands. One source of truth.

Accelerating the energy transition with connected intelligence.

The battery industry produces vast amounts of data. Almost none of it flows between the people who need it.

We built one platform that connects R&D, operations, underwriting, and compliance — so a single cell test can inform a warranty decision, a residual-value forecast, and a regulatory submission.

Data first

No placeholders. Every chart is wired to real, federated data.

Cross-stakeholder

One battery, nine workflows. Developer to insurer to regulator.

Built for the lifecycle

R&D → manufacturing → field → second-life → recycling.

Operators · Insurers · Investors

Let's talk.

Battery and energy data, on your assets, in 30 minutes.

info@axioma-intelligence.com
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Partnership
OEMs · insurers · funds
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