Superblocks, a vibe-coding startup, has announced a multi-year marketing deal with Amazon Web Services (AWS). This collaboration allows Superblocks' platform to be integrated into AWS users' private cloud environments. Companies using AWS can now offer vibe coding to business users, with applications created this way not sending data outside the private cloud to external model providers or databases. Instead, apps will create Amazon Aurora databases internally, avoiding external solutions like Supabase. These applications will also connect with Amazon Bedrock, AWS's AI platform for app development and inference. This ensures IT departments maintain control and security, avoiding rogue applications. Brad Menezes, CEO and co-founder of Superblocks, says, 'We’re bringing it to your data inside your private cloud. The key point here is that data never leaves. It’s in your AWS account, fully secured with encryption, network controls, and auditing.'
AWS will help promote Superblocks to enterprise clients, as it does with its other Marketplace partners. An AWS spokesperson said, 'We support partners who align with how customers want to build and who have strong demand.' However, AWS does not currently offer a vibe-coding solution for non-technical business users. While Kiro, an AI coding tool for developers, is available, it's not a vibe coder. AWS also has Quick, an AI assistant for business users, but Menezes says it's more like Microsoft Copilot or Claude Cowork, not a true vibe coding platform. This partnership is a major step for Superblocks, which is still in its early stages. As of its recent Series A funding in May 2025, the company had raised $60 million and was backed by Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks. The company has 50 employees.
The growing push for multi-model AI strategies
Beyond this specific deal, the partnership reflects a broader trend in enterprise AI. Major cloud providers are encouraging companies to separate AI models from other infrastructure and use their own platforms for secure AI application development. This approach reduces reliance on the same AI providers who offer models, a trend gaining traction. Microsoft CEO Satya Nadella has actively promoted this strategy, urging companies to use multiple AI models to cut costs, avoid vendor lock-in, and maintain data control. Nadella has also warned that AI labs may use enterprise data to study businesses and eventually compete with them. Enterprises are already adopting multi-model strategies, especially with open-weight models from China. 'Just a few months ago, companies were asking for one model, like Anthropic,' Menezes says. According to recent data, open models now account for 29% of traffic through Vercel’s AI gateway, an enterprise tool for managing multi-model AI.
Menezes argues that a multi-model approach across major labs like OpenAI, Anthropic, and open-source platforms—especially those emerging from China—is now essential for enterprise CIOs. U.S. open-source solutions are also beginning to gain traction. Businesses need flexibility and choice across scenarios like customer service, HR, and sales automation. 'It’s not optional anymore,' Menezes says. 'It’s a must-have.' He even predicts that executives who stick with a single model provider 'will be fired.'
The next phase of AI innovation: agentic apps for business users
Cloud providers are focusing on helping enterprises build secure and scalable agentic apps and AI orchestration tools. Superblocks' AWS partnership is a clear example of this trend, enabling companies to develop applications using vibe coding while keeping data secure within private clouds. Menezes sees this as the next step after developers began using AI coding agents—a second wave in enterprise AI adoption. The shift means AI tools are no longer just for technical teams but also for business professionals building and deploying apps themselves. By embedding vibe coding into private clouds, Superblocks and AWS are addressing a major need in enterprise tech: control, security, and flexibility in AI tooling.
Superblocks is at the forefront of this emerging market. With $60 million in Series A funding and backing from top-tier venture capital firms, the startup is well-positioned for growth. As AWS and other cloud giants invest in secure, multi-model AI solutions, it's clear that the future of enterprise AI depends on balancing innovation with control. The partnership between Superblocks and AWS highlights how cloud providers are stepping in to help businesses build AI strategies without relying on external model providers.