New research / AI + materials

From promising science to paying customers.

AI-native chemicals and materials companies are advancing the science. But what must they prove before a customer is ready to buy? Seven real-world cases explore the commercial test.

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15–20 minute read
07Real-world cases
03Types of customer offer
05Conclusions for leaders
VALIDATE INTELLIGENCE / 2026 Cover microscopy: Falcaro & Buso / CSIRO, CC BY 3.0. Cropped; illustrative.
RICHARD PERKINSREPORT / 01
01 / What you’ll learn

Where the promise meets the buyer.

A practical commercial reading of what AI is making possible — and the evidence buyers still need.

01 / Value

Where AI is creating value today

Examples from materials discovery, formulation, engineering and industrial operations.

02 / Customer

What customers are actually buying

Better R&D decisions, trusted operational capabilities or a physical product.

03 / Evidence

What has to be proved next

Why the evidence needed for a model benchmark differs from a plant deployment or material qualification.

And the commercial implications.What separates a promising technical result from a credible proposition — and what needs to become repeatable for adoption to scale.
02 / Read the full research

Put the commercial test to work.

Download the full report: seven real-world company cases, a side-by-side comparison of the evidence, and five practical conclusions for commercial leaders, innovators and investors.

07Detailed company cases with evidence and the next question to answer.
05Practical conclusions to help turn early deployments into repeatable adoption.

INSIDE THE REPORT / EVIDENCE & CASE COMPARISONS

Free research report / 2026

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03 / The commercial question

Technical sophistication alone is not a commercial proposition. What matters is whether AI improves a decision the customer needs to make.

04 / Evidence framework

The evidence gets harder as AI moves closer to the real world.

A framework used throughout the report, not a ranking of the seven companies.

01Model works
02Workflow improves
03Physical or operational test
04Customer use
05Measurable outcome
06Repeatability
07Scalable adoption

A company does not have to reach the last stage before it has something valuable to sell. The commercial question is whether the available evidence supports the next customer decision.

05 / Seven company cases

Seven cases. Different routes to value.

Each case examines the customer problem, what AI changes, the evidence published to date and the next commercial proof.

01Matlantis + ENEOSCatalyst discovery
02Intellegens + FUCHSFormulation
03Citrine InformaticsCustomer specifications
04Polaron + AVLBattery engineering
05ImubitIndustrial operations
06Greyparrot + Biffa / FCCMaterials reporting
07Orbital IndustriesPhysical products

06 / About Validate Marketing

Independent thinking.
Commercial perspective.

Validate Marketing is the independent consultancy and research platform of Richard Perkins, a B2B marketing leader specialising in science-led and technically complex markets.

Through Validate, I share research and perspectives on the challenges facing these businesses, while helping organisations sharpen their positioning, build effective marketing strategies and turn technical expertise into commercial opportunities.

If you're looking for experienced marketing leadership, strategic advice or hands-on support, I'd welcome a conversation.

Let’s talk