Flaredog Research
Competitive analysis and market research on enterprise AI, by region and domain.
Deregulated Federally, Regulated Everywhere Else: The US Enterprise AI Landscape in 2026
Washington has pulled back on AI rules, but banks, health systems, and public agencies still answer to NIST, SR 26-2, the FDA, and a contested patchwork of state law — here's what that means for buyers.
Sandboxes, Not Statutes: What the UK's Regulator-Led AI Approach Means for Enterprise Buyers
The UK has chosen supervised experimentation over a comprehensive AI Act — here's what that means for building AI systems in finance, health, and government.
Switzerland's Enterprise AI Path: Narrow Regulation, Heavy Supervisory Expectations
Switzerland is betting on sector-specific AI rules over an EU-style horizontal law, but FINMA and the revised FADP already set a high governance bar for regulated enterprises.
South Korea's Enterprise AI Reckoning: Capital, Law, and Compliance Collide in 2026
South Korea is spending at national scale on AI infrastructure while its AI Basic Act, PIPA amendments, and FSC financial-sector guidance turn 2026 into the year enterprise AI deployments must prove they're governable.
Hong Kong's Enterprise AI Market: Sandboxes, Supercomputing, and an Unfinished Data Law
Hong Kong is building enterprise AI adoption around regulatory sandboxes and public compute infrastructure — but a still-dormant data transfer law leaves cross-border architecture decisions to the buyer.
Singapore's Enterprise AI Market: Regulation Is the Product Spec, Not the Obstacle
Singapore is turning AI governance into deployable infrastructure — a look at what MAS, IMDA, HSA, and PDPC rules mean for enterprise AI builders in finance, government, and healthcare.