Analyses and original research on AI, data, and markets, written for those who decide and build: useful and direct, no fluff. Open and free, under the same rigor as the NDA projects.
Open content, no sign-up — built for you to use right now.
Strategic decisions, market, competition, trends, audience, and policy. Research that grounds the move before it happens.
Meet D.Lab's AI Building Blocks: an open repository of skills and workflows to plug into AI systems, with documented methodology and direct download, no sign-up. What it is, who it's for, and how to use it.
Meet D.Lab's Decision Diagnosis: a free tool that quantifies the risk of deciding without data from 5 inputs, with an open method and cited sources. How it works, when to use it, and how to read the result.
A D.Lab study in partnership with IMPS on cyclist crashes in Brazil: roughly 1,300 deaths a year, hospital admissions up 71% over the decade, and an estimated 2 to 3 urban cyclists for every sport cyclist. Secondary data reconciled from DATASUS, IBGE, IPEA, and WHO.
A D.Lab survey of 98 Brazilian gamers: 87.8% believe affirmative campaigns have an impact, but only 16.3% trust brands' sincerity. Minoritized gamers are 3.48× more likely to switch brands over social commitment. Practical implications for marketing, branding, and ESG.
Researchers, independent scientists, frontier minds. If you have a study ready, a relevant dataset, or a question that fits our agenda, we want to know. We publish with explicit co-authorship and exposed reasoning. The same stance applies to consulting: when a client project calls for expertise we don't have, we bring in partners with explicit credit, never anonymously.