AI application development startup Superblocks has entered into a multi-year co-marketing agreement with Amazon Web Services (AWS). According to reports, Superblocks’ tools will be embeddable within AWS customers’ private cloud environments and integrated with Amazon Bedrock for enterprise AI application development and inference access.
This means that when businesses use the relevant tools, their data remains within their own AWS accounts and is consistently managed under existing audit, encryption, and network control systems, rather than forming standalone applications outside of IT governance. For large enterprises, this deployment approach makes it easier to meet internal security and compliance requirements.
Access the tool via the enterprise private cloud
Brad Menezes, co-founder and CEO of Superblocks, said the partnership focuses on bringing the so-called "vibe coding" capability directly into private clouds where customer data resides, avoiding data leakage. AWS stated it will support partners in sales when customer needs are clear and product directions align with platform development.
In addition to deployment capabilities, Superblocks’ application will integrate with Amazon Bedrock, AWS’s enterprise platform for developing AI applications and invoking models. This integration will enable businesses to access models, build applications, and manage security entirely within the AWS ecosystem.
AWS completes the enterprise AI application layer
The report notes that AWS currently offers Kiro, an AI coding agent for developers, and Quick, an AI assistant for enterprise users, but has not yet launched a dedicated "vibe coding" product for business users. This collaboration with Superblocks is seen as AWS filling this gap.
For Superblocks, a relatively young company, this represents a significant channel expansion. The company currently has around 50 employees and has raised a total of $60 million in funding. Its Series A round, announced in May 2025, was led by investors including Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks.
Cloud providers are promoting a multi-model strategy.
The report suggests that the greater significance of this partnership lies in its reflection of major cloud providers encouraging enterprises to purchase AI models and upper-layer application capabilities separately. Cloud platforms aim for enterprises to continue performing AI orchestration, security controls, and business application deployment within their cloud environments, rather than delegating these capabilities to a single model provider.
Recently, Microsoft CEO Satya Nadella has repeatedly emphasized a multi-model strategy to enterprise customers, citing reasons such as cost reduction and reduced vendor lock-in. The report notes that an increasing number of enterprises are no longer relying solely on a single model but are instead adopting a combination of OpenAI, Anthropic, open-source models, and some Chinese open-source models.
Under this trend, enterprise AI application frameworks, access control systems, and business process tools are also becoming harder to lock in to a single model provider. Superblocks believes that the next wave of enterprise AI products may be AI development tools for business users moving into private clouds, following the rise of AI coding agents for developers.