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Superblocks Raises $23M And Launches Clark To Help All Teams Build Secure Internal Apps With AI

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Superblocks has raised $60 million in total, including a new $23 million round, to support the launch of Clark—an AI agent that enables IT, engineering, and business teams to collaboratively build secure internal applications. Clark applies enterprise-specific policies across design, security, and access control while supporting natural language prompts, visual editing, and code-level customization. The platform aims to reduce development bottlenecks and prevent shadow IT by centralizing governance in AI-assisted app creation.

AI Enters the Enterprise App Chat: Why Superblocks Makes a Bold Bet

Superblocks announces a total raise of $60 million, including a new $23 million round backed by Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks. This latest funding round supports the introduction of Clark, described as the first AI agent to build internal enterprise applications. Founded with a focus on internal tooling, Superblocks now enables engineering, IT, and business teams to build secure applications collaboratively using AI.

The funding is intended to support a shift in enterprise app development, unlocking what the company calls a new class of builders. Superblocks outlines its mission to enable organizations to create operational software without relying solely on developer capacity. The move is positioned as a significant change in enterprise software, targeting inefficiencies in traditional development pipelines.

Meet Clark: The AI That Builds Apps Like Your Internal Dev Team Would

Clark functions as a multi-agent AI system designed to replicate how an internal tools team operates. It incorporates roles for Design, IT, Engineering, Security, and QA. When a user prompts the system, these AI agents generate applications based on the organization’s specific standards.

It supports collaborative development among business users, IT, and engineers while enforcing centralized governance. Clark integrates systems like Okta or Entra ID for RBAC/ABAC, adheres to design system rules, follows engineering best practices in React, Python, JavaScript, and SQL, and applies security controls such as PII masking and audit logging. It also generates and executes test cases for QA verification.

Why Faster Developers Aren’t Enough Anymore

Traditional development workflows often begin with an operations team spotting a problem, followed by a request ticket that enters an engineering backlog. Even with tools like GitHub Copilot or Windsurf, the bottleneck of limited engineering resources remains.

Clark shifts this by enabling domain experts to build internal tools directly. This expands organizational capacity without additional headcount and reallocates engineering effort toward customer-facing initiatives. Superblocks highlights the inefficiency of relying solely on developers and suggests that collaborative AI tooling can unlock significantly more opportunities across workflows and automation.

From Rogue Tools to Centralized Control: How Superblocks Tackles Shadow IT

Enterprise IT teams face challenges from unregulated tools adopted by non-technical staff. In the last three months, teams have adopted platforms like Bolt, Lovable, Replit, and v0, which were not designed for production environments. These tools typically lack required features such as compliance, auditability, secure data integration, and access controls.

This fragmentation introduces vulnerabilities and security risks. Superblocks claims that Clark prevents this outcome by embedding IT oversight and organizational policy enforcement from the beginning of the development process. The centralized governance model reduces the risk of fragmented app ecosystems and inconsistent standards.

One Platform, Three Ways to Build: AI Prompts, Visual Tools, and Code Editing

Superblocks integrates AI-driven development, visual interfaces, and direct code editing into a unified environment. This allows different team members to contribute at various technical levels:

  • AI: Natural language prompts through Clark generate applications that align with enterprise standards.
  • Visual: Drag-and-drop interface in the Superblocks Editor allows for manual refinement.
  • Code: Developers can adjust or extend applications using their IDE of choice.

These three modes are live-synced for real-time collaboration, offering flexibility without compromising structure or control. IT maintains full visibility and governance through a single administrative interface.

Recommended: Relevance AI Secures $24 Million And Builds The Future Of Autonomous AI Workforces

Why VCs Are Betting Big on Superblocks

Superblocks’ investor list includes Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks. These firms are supporting Superblocks’ expansion into AI-powered enterprise development. The platform’s approach to integrating non-engineers into secure app creation, while retaining policy control, aligns with enterprise needs in managing scale and compliance.

Clark’s private beta and the platform’s foundational shift in internal app development contribute to investor confidence. The company emphasizes this as a necessary change in how enterprises manage operational inefficiencies and developer resource allocation.

Clark Isn’t Just Smart—It’s Governed by Design

Clark uses a combination of probabilistic AI and deterministic guardrails to meet enterprise production standards. Each AI agent is context-aware, using pre-defined policies from central IT or platform engineering teams.

Key governance layers include:

  • Design: Applies themes, reusable components, and UI/UX patterns.
  • IT: Enforces permissions and group-level access control.
  • Engineering: Uses approved logic blocks and generates new code only when necessary.
  • Security: Incorporates audit logging, data privacy features, and package vulnerability scanning.
  • QA: Builds and runs tests to ensure functional accuracy and stability.

This architecture ensures generated applications are not only functional but also secure and production-ready.

Empowering the Next Billion Builders—Safely and Securely

Superblocks notes that over one billion users still rely on spreadsheets for operational workflows. With Clark, the company aims to transition these users into software builders without compromising security or structure.

Rather than replacing engineers, Clark expands who can contribute to app development under the supervision of technical teams. This model increases build velocity while maintaining compliance. Enterprises can support innovation without introducing unmanaged systems or security risks.

Why This Moment Matters for Internal Software and the Future of Work

Superblocks positions Clark as a solution for enterprises seeking to modernize internal operations. The $60 million funding supports expansion into AI-assisted tooling that enables non-developers to build applications under enterprise governance.

By combining development efficiency with centralized control, Superblocks presents an alternative to both traditional engineering bottlenecks and unregulated app creation. Clark reflects a broader trend in enterprise software toward cross-functional collaboration powered by AI systems that respect organizational policy and infrastructure.

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