In a move that screams 'enterprise AI, but make it secure,' vibe-coding startup Superblocks has inked a multiyear joint marketing agreement with Amazon Web Services (AWS). The deal lets Superblocks' tool be embedded directly within the private clouds of AWS customers, ensuring that all those AI-generated apps stay on the corporate reservation.
Here's the pitch: an enterprise on AWS that subscribes to Superblocks can offer vibe coding to its business users, with the assurance that no data will leak out to external model providers or databases. Instead of spinning up external Supabase databases - the vibe-coding database of choice - these apps will use Amazon Aurora databases within the company's private cloud. They'll also integrate with Amazon Bedrock, AWS's AI development and inference platform. Essentially, these apps become obedient corporate citizens, falling under IT's management and security rather than running wild as rogue applications.
"We're going to bring it to your data inside your private cloud," Superblocks co-founder and CEO Brad Menezes told TechCrunch, adding, "The big thing about that is data never leaves. … It's their AWS account and basically secure with all of the auditing, all of the encryption, all of the network controls."
AWS will also help sell Superblocks to enterprises, as it does for many Marketplace partners. "We support partners where we see strong customer demand and alignment with how customers want to build," an AWS spokesperson said.
Notably, AWS doesn't yet have its own vibe-coding agent for business users. It has Kiro, an AI coding agent for developers, and Quick, an AI assistant for business users - but those are more like Claude Cowork or Microsoft Copilot, not a Lovable or Replit. So this partnership fills a gap, and it's a nice boost for early-stage Superblocks, which has 50 employees and raised $60 million total as of its Series A in May 2025, backed by Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks.
But this is more than just a nice boost. It's part of a growing trend where hyperscaler cloud providers are pushing enterprise customers to separate their AI models from the scaffolding needed to run enterprise AI - and to buy that scaffolding from them, not from frontier AI providers. Microsoft CEO Satya Nadella has been banging this drum, telling customers to use multiple models to reduce costs and avoid lock-in, and warning that AI labs aren't trustworthy enough for agent orchestration or app-level harnesses because they might use your data to study your business and then compete with you.
Enterprises seem to be getting the message. They're already adopting multiple models, particularly open-weight options from China. "That is flipped because 60 days ago they were like, I want a specific model. It's called Anthropic," Menezes noted. Open models accounted for 29% of all traffic routed through Vercel's AI gateway last month, a popular tool for managing multi-model AI use. So, by necessity, all this AI scaffolding can't be tied to one provider.
"Having a multi-model strategy across big frontier labs, OpenAI, Anthropic, and open source - and I'd say Chinese open source right now, but also U.S. open source is now starting to come up. It's a must-have for the CIO," Menezes said, adding that they want model choice for coding, customer service, HR, and sales automation.
Menezes is so confident in this trend that he predicts "any enterprise that is betting on a single model provider, that executive will be fired." Strong words, but with cloud providers now bringing vibe coding for business users into private, secure clouds, it looks like the second wave is here. AWS told TechCrunch, "It's an emerging category with real momentum, and exactly the kind of innovation we support." Indeed, because nothing says innovation like making sure your AI-generated todo list app stays within the corporate firewall.