How Wazari.ai built an Azure agent with GitHub and Microsoft’s AI stack
Wazari.ai keeps the AI agent memory of Ezra, its Azure expert agent, in a GitHub repository where people can compare and revert changes.
Microsoft for Startups
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Build AI agents for real enterprise workflows: 6 lessons from Datox
What does it take to move an AI agent into a real enterprise workflow? Datox shares six lessons for designing agents that operate with the context, controls, and accountability enterprise applications require. -
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. -
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. -
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. -
Biotech’s AI upgrade: An operating system built for science
Biotech is shifting to AI‑native operating models. -
From agents to enterprise: 5 signals that matter when you’re building AI for real customers
AI founders and investors from Microsoft for Startups, Ema, Drishya AI, and M12 share five signals shaping the next generation of enterprise-ready AI companies, from workflow integration and trust to production deployment and enterprise scale. -
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.
Microsoft for Startups
Access the latest AI models and developer tools so you can build faster on Azure – complete with leading security, privacy, and Microsoft’s global network of customers.
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