The experience behind
better intelligence.

Our perspective on how real-world knowledge can advance AI—and what it takes to turn that possibility into useful, measurable progress.

Colleagues collaborating with laptops in a glass-walled meeting roomOur thesis

Why real business workflows matter to the next generation of AI

How business decisions, processes and outcomes can contribute to more useful AI—and why context matters more than collecting another archive.

Read article →Laptop displaying software codeAI capability

Training data, evaluation data and the gap between benchmarks and real work

Understand how AI training and evaluation differ, what SWE-bench and tau-bench measure, and why business-specific tests still matter.

Read article →Textile factory production equipment and overhead pipesIndustry

Industrial AI needs the knowledge behind the work

Why maintenance histories, quality records and operational decisions may matter to industrial AI, and how to assess their potential responsibly.

Read article →Stacks of business documents and file foldersData partnerships

Responsible business data licensing starts before the transfer

A practical introduction to data rights, provenance, anonymization and evaluation scope for companies exploring AI data partnerships.

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