Three architecture decisions behind PONS’s legal AI platform on Microsoft Azure
Building AI for regulated industries requires clear boundaries around data, infrastructure, and compliance.
-
-
Resolution, not deflection: How Maven uses AI agents to transform the enterprise customer journey
Learn how Maven’s AI agents for customer support resolve issues faster, automate service interactions, and improve customer satisfaction. -
How to deploy Fireworks AI on Microsoft Foundry: A startup architecture blueprint
Learn how AI-native startups can deploy Fireworks AI models on Microsoft Foundry using a practical architecture built for cost control, flexibility, and scale. -
Architecture beats models: A startup’s guide to speed and scale on Azure
Learn why AI app architecture often has a bigger impact on performance than model choice. -
From AI promise to enterprise-ready growth: Why data quality matters
Enterprise AI is only as reliable as the data powering it. -
What Microsoft 365 E7 means for startups building enterprise AI agents
Building powerful AI agents is not enough. Startups must design for enterprise readiness, governance, and deployment to succeed at scale. -
Y Combinator and Microsoft partner to support the next generation of AI startups
Y Combinator has chosen Microsoft Foundry to support its internal AI development and future products. -
11 Startups to watch at Microsoft Build 2026
Microsoft Build 2026 reflects a sharp technical focus, organized around the engineering decisions that determine whether AI ships, scales, and holds up under real conditions. -
How Neubird AI uses agentic AI on Azure to transform cloud operations and incident response
Neubird AI is helping enterprises move beyond traditional observability with AI-powered incident investigation on Azure. -
From vision to venture: When AI startups move from promise to proof
When AI products enter real customer environments, reliability, cost, latency, and trust matter. -
From writing code to supporting work: How AI is reshaping startup teams
AI is reshaping how startups build and scale, moving from writing code to supporting real work across systems, teams, and infrastructure. -
How Nimble helps enterprises move AI agents from prototype to production
Learn how Nimble helps enterprises move AI agents from prototype to production with live, structured web data, stronger governance, and Azure-powered scale.
