Materials intelligence infrastructure

Make the material
world visible.

Atlas builds a persistent, evidence-backed model of what materials are, how they transform, what they can become and where they should go next.

Beginning with complex industrial materials and processors.
Illustrative material modelMaterial flow / evidence
Feedstock
Recovered product
Composition
Refinery
Next use
Evidence
TransformationRecovery / next use
Material stateTransformationNext state

01 / The missing layer

Industry has systems for everything except matter itself.

Material understanding is fragmented across business systems, laboratory files, process records and expert judgement. The object being bought, transformed and sold has no shared intelligence layer.

MoneyFinancial systems
CustomersCRM
ProductsPLM
FacilitiesMES
LaboratoriesLIMS
MatterNo coherent system

Atlas creates the shared intelligence layer for physical materials and their transformations.

02 / Atlas Graph

A persistent model of material reality.

Atlas Graph connects canonical materials to their physical states, transformations, evidence, specifications, organisations, facilities, custody, value and uncertainty.

ATLAS GRAPH / ILLUSTRATIVEMaterial understanding
CANONICAL MATERIALLithium HydroxideLiOH·H₂O
Supplier lotLHX-118
Material state99.62% purity
TransformationControlled drying
New stateLHX-204
Assay99.42% purity
Specification≥ 99.50%
FacilityLine 02
UncertaintyMoisture missing
Identity resolved5 evidence records2 uncertainties

03 / Atlas Engine

Turn connected material evidence into understanding.

The Atlas Engine is the reasoning layer over the graph. Current product work supports structured search, relationships, comparison, provenance and evidence-led explanations; broader matching and planning capabilities remain in development.

01

Search

Find material identities, states and connected records.

02

Resolve

Distinguish aliases, lots, batches and physical instances.

03

Connect

Link evidence to observations and transformations.

04

Compare

Compare materials, specifications and process outcomes.

05

Explain

Trace an outcome through the evidence that supports it.

06

Match

Identify processes and possible next states worth assessing.

04 / Products

One intelligence foundation. Four interfaces.

Atlas is the infrastructure. Each product is a different way to work with the same material graph and reasoning engine.

05 / Illustrative material reasoning

Open a material. See everything known about it.

This fictional example demonstrates the intended product model. It is not a customer result or a claim of automated industrial diagnosis.

CANONICAL MATERIALLithium HydroxideLiOH·H₂O · 3 known states · 91% confidence
01SUPPLIER LOTLHX-118

99.62% purity · supplier declared

02TRANSFORMATIONDrying + milling

Process records · one missing measurement

03NEW STATELHX-204

99.42% purity · laboratory tested

QUESTIONWhy did purity fall below 99.5%?
QUALIFIED EXPLANATION
Supplier lotIdentity resolved
Assay variationMethods differ
MoistureIntermediate missing
Process conditionsHumidity excursion
Final specificationFails by 0.08%
Atlas can assemble the causal evidence path. A technical owner still reviews the explanation and decides the next measurement or action.

06 / Domain extensions

One core model, specialised by industry.

Domain extensions add terminology, schemas, process models, specifications, calculation methods and specialised views without changing the universal material-state model.

01 / Mining02 / Refining03 / Battery materials04 / Chemicals05 / Metals06 / Recycling07 / Advanced manufacturing

07 / Long-term direction

From isolated records to a connected material economy.

Over time, Atlas aims to help organisations understand where materials exist, which specifications they meet, what processes can accept them and what they could become next. Global coverage and the Exchange network are long-term ambitions, not current capabilities.

Illustrative material modelMaterial flow / evidence
Feedstock
Recovered product
Composition
Refinery
Next use
Evidence
TransformationRecovery / next use

08 / Start with one material question

Build a focused model of the decision that matters now.

An Atlas pilot models one material, process or quality problem across the evidence you already have.

  • Explain a purity issue
  • Reconcile a transformation
  • Compare suppliers or batches
  • Understand material loss
  • Assess an output against specification
Book a pilot

Material reality first. Every answer retains its evidence.

Read the methodology