Worked examples

Five pieces of work, each shown twice: how it usually goes, and how it goes when every step reads from and writes to one project record. Each carries chips saying what is in the platform today, at what grade. 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 We do not publish percentages or hours-saved figures we have not measured, and our design partners stay anonymous while commercial onboarding is under way.

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

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

The two mechanisms these examples argue — a wait removed, and a decision changed — are defined on the home page's Advantage section.