The founder’s AI foundation: The top announcements for startups from Next ‘26

The momentum is undeniable: the world’s fastest-growing AI startups are building with Google Cloud. Instead of stitching together fragmented point solutions, founders are building their businesses here because we offer the entire AI stack in a single, open environment.

And, as we saw at Next ‘26 last week, we continue to advance the models, infrastructure, platforms, security, and governance that allow startups to build faster and dream bigger.

You can already see this scale and velocity in action every day. Platforms like Lovable are empowering developers to generate over 200,000 new projects daily. Thinking Machines Labs is leveraging the latest NVIDIA Blackwell chips through Google Cloud to double its training and serving speeds. When it comes to activating complex data, Parallel bypassed the multi-vendor headache, using our integrated ecosystem — bridging Gemini, BigQuery, and Spanner — to massively scale their high-accuracy search APIs.

Startups are moving at this pace because we’ve eliminated the operational plumbing. Aible is running complex enterprise agents directly where their data lives in BigQuery, while teams like Emergent AI are using Google Kubernetes Engine (GKE) to autonomously scale thousands of secure sandboxes for vibe coding natural language prompts into production-ready applications. 

By putting everything in one place, we provide the ultimate foundation so you can focus 100% on shipping the AI-native products your customers are waiting for.

Let’s look at some of the biggest announcements out of Next ‘26 and what they mean for you. 

1. Gemini Enterprise: comprehensive agent platform

The new Gemini Enterprise Agent Platform is how we’re moving beyond isolated AI tools to a complete lifecycle platform. It evolves the model building capabilities of Vertex AI with advanced features for:

• Building: The upgraded Agent Development Kit (ADK) introduces a graph-based framework for complex multi-agent reasoning, while the low-code Agent Studio allows you to move seamlessly from prompts to deployed agents. Developers can also utilize Agent Garden to jumpstart development with pre-built agent templates.

• Scaling: The re-engineered Agent Runtime delivers sub-second cold starts and supports long-running agents that maintain state for days at a time. The new Agent Memory Bank enables agents to recall high-accuracy details for personalized, long-term context.

• Governing: To ensure security and compliance, the platform introduces Agent Identity for trackable auditing, Agent Gateway for unified connectivity and policy enforcement, and Agent Threat Detection to flag suspicious behavior in real time.

• Optimizing: Teams can ensure quality using Agent Simulation to test against synthetic interactions, and rely on Agent Optimizer to automatically analyze real-world failures and suggest improvements.

What it means for startups: Startups no longer need to stitch together fragmented tools to build complex AI systems. The new Agent Platform provides every tool in one place — whether you are using the visual interface of Agent Studio to quickly prototype or the code-first logic of the ADK for advanced orchestration, a lean team can build and scale production-ready agents with security guardrails from day one. This approach helps eliminate technical debt and drastically accelerates time-to-market.

2. The Agentic Data Cloud: Data that actually does the work

We are moving your data from rows and columns to autonomous action. This is where you build AI agents that understand your business logic and execute the next best action—closing the gap between simply analyzing data and actually resolving real tasks on your behalf. Because agents generate orders of magnitude more workloads, our Agentic Infrastructure scales to handle bursty startup demands, improving query speeds and reducing infrastructure costs. 

• Query anywhere, leave data where it lives: The Cross-Cloud Lakehouse lets you use Google’s advanced AI on data living in AWS or Azure. Build smarter agents without requiring migrations, experiencing vendor lock-in, or incurring additional costs to move your data.
• The zero-ETL startup: Features like One-Click Reverse ETL and Lakehouse Federation collapse the walls between operational databases and analytics, allowing data to flow seamlessly without manual engineering.
• Give your agents business context: Before an agent acts, it needs to understand your specific business rules. The new Knowledge Catalog turns passive data into active semantics, ensuring your agents know the exact difference between “booked revenue” and “projected revenue” without guessing or hallucinating.
• Eliminate “glue code” and manual connectors: Fully managed, remote Model Context Protocol (MCP) servers are now embedded directly across the database portfolio (Firestore, Spanner, BigQuery, and AlloyDB).
• Production-grade guardrails: Connecting AI to your database usually means risking dangerous SQL hallucinations. New Tools for Data Agents solve this by providing pre-built, modular building blocks that deliver near-100% text-to-SQL accuracy, letting your custom agents interact with live data safely and reliably.
• Instant app generation: A new integration with Google AI Studio allows developers to use natural language for vibe coding to turn a simple text prompt into a live, deployed application connected to Firestore in seconds.

What it means for startups: Your proprietary data can be a competitive moat, but activating it usually requires a massive integration tax — breaking down cloud silos, writing brittle glue code, and managing complex ETL pipelines. Our latest data advances eliminate the friction. Startups can now leave their data right where it lives in AWS or Azure, “vibe code” an app into existence, and instantly plug agents into secure databases using standard MCPs. It turns data integration from a multi-week engineering sprint into a single afternoon’s work.

4. Agentic Defense: Security as Your Enterprise Go-To-Market Engine

Google Cloud is combining its global threat intelligence with Wiz’s Cloud and AI Security Platform to provide startups with a fully automated, unified security posture from code to cloud:

• API economics protection: The new Google Cloud Fraud Defense acts as an intelligent bouncer, preventing malicious bots from scraping IP or running up massive compute bills on unauthorized agent interactions.

• Full-stack AI protection: The Wiz AI Application Protection Platform (AI-APP) secures every layer of the AI stack and natively supports the “outer layer” of the cloud, now securing tools startups actively use like Vercel, Databricks, and Cloudflare.

• Google-scale threat intelligence: New agentic SecOps tools, like the Threat Hunting Agent and dark web intelligence, automate detection rules and elevate only the threats that matter with 98% accuracy. Meanwhile, the Triage and Investigation agent uses Gemini to shrink 30-minute security investigations down to just 60 seconds.

• SecOps agents: We introduced three new agents in Google Security Operations — Threat Hunting (proactive pursuit of stealthy threats), Detection Engineering (automated detection creation), and Third-Party Context (workflow data enrichment) — that empower teams to defend at the speed of AI.

• Drag-and-drop security automation: Wiz Workflows introduces a new hub with a customizable drag-and-drop interface, allowing lean teams to easily orchestrate how and when these AI agents act without writing complex security scripts.

What it means for startups For B2B startups, the enterprise information-security review is where deals often go to die. By building on our unified security foundation, you can demonstrate that your application has continuous, automated red-teaming and runtime protection. 

It turns the dreaded vendor risk assessment into a competitive advantage, allowing you to bypass procurement roadblocks and close enterprise deals faster without needing to hire a massive SecOps team.

5. The Go-To-Market Engine & Ecosystem Capital

Google is solving the ultimate startup hurdles — distribution and funding — by opening up its enterprise channels and deploying massive capital to partner ecosystems:

• Agent Gallery in Gemini Enterprise: Startups can now monetize their customized agents directly inside the Gemini Enterprise app via Google Cloud Marketplace. This reaches millions of users right in their daily workflows and turns everyday user discovery into an automated procurement flow for IT, accelerating purchasing cycles by up to 50%.

• $750-million fund: A capital injection dedicated to partner agent development and co-marketing, designed to fuel the next generation of AI builders.

What it means for startups Building the product is only half the battle; surviving enterprise procurement is the other.  By integrating into the Agent Gallery, your startup can reach millions of Gemini Enterprise users directly in their daily workflow, where they can easily click to request IT procurement. Plus, their purchases can draw down on existing Google Cloud commitment, allowing you to tap into a $240 billion backlog. Paired with the $750-million partner innovation fund, Google is putting capital and distribution directly behind your growth.

Start building with the AI Agents Challenge

We’ve given you the architecture, the security, and the distribution channels — now it’s time to get hands-on. To help you accelerate your development, we are launching the Google for Startups AI Agents Challenge. Open globally to eligible startup founders and developers, this six-week competition equips your team with $500 in cloud credits and access to our latest AI tools, including Gemini Enterprise, so you can build autonomous systems and compete for a share of a $90,000 prize pool.

We’re offering separate tracks, whether you want to build a net-new agent from scratch, optimize an existing prototype for production, or prep a business-ready agent for enterprise distribution, there is a track tailored to your exact stage. Submissions are open until June 5, 2026, and will be evaluated on technical implementation, business case, innovation, and your final demo. Learn more and sign up for the challenge here.