Microsoft for Startups, Author at Microsoft for Startups Blog

June 25 4 min read

What Microsoft 365 E7 means for startups building enterprise AI agents

Building powerful AI agents is not enough.

June 17 3 min read

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.

May 21 6 min read

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.

May 19 4 min read

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.

Investors working together to review a startup they may accept into their portfolio

April 23 4 min read

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.

April 16 7 min read

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.

April 9 4 min read

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.

Two people looking at a tablet with vision to venture background

March 26 4 min read

From vision to venture: What it takes to build a VC-backable AI startup

Learn how structural forces, investor benchmarks, and enterprise demands are redefining what it takes to build a durable, VC‑backable AI startup.

March 23 3 min read

How Notch ships action-taking AI agents safely in regulated customer support

Notch shows how startups can build action-taking AI agents for regulated support with layered guardrails, escalation controls, and Azure infrastructure.