

Today, we’re excited to introduce Clark, the first AI agent to build internal enterprise applications.
Clark is the biggest leap forward since we founded Superblocks — bringing engineering, IT, and business teams together to build secure internal apps collaboratively with AI. We’ve raised $60 million in total, including a fresh $23 million from Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks to empower the next billion developers at work.
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Faster engineers aren’t enough, domain experts must build
With the rise of AI, the way internal operational software gets built has fundamentally changed.
In the old model, an Operations team member spots a problem, a PM files a ticket, and it sits in engineering’s backlog for months. Even with the adoption of developer coding assistants like Cursor, Windsurf and GitHub Copilot, the bottleneck on engineering remains the same.
Enterprises clinging to the old model are bleeding time, money, and market share — while competitors who empower domain experts to build internal apps with AI are free to redirect engineering resources toward differentiated customer-facing innovation. The most innovative enterprises are not just reducing costs with AI, they are unlocking 100x more opportunities to automate operations, streamline workflows, and drive revenue.

The CIO nightmare: vibe coding and a new wave of shadow IT
In the last 90 days, eager non-technical teams have flocked to consumer “vibe coding” tools like Bolt, Lovable, Replit, and v0. While these tools can hack together quick prototypes, they were never designed for the enterprise. These tools lack the data integration, security, governance, and compliance controls required in mature IT environments, making them fundamentally unfit for production.
The result? A fractured landscape of rogue apps, security vulnerabilities, and operational chaos. Without centralized guardrails and IT oversight, democratized AI-driven internal app development quickly turns into a major security risk – one that scales with every new builder you add.
Introducing Clark: Empowering IT, Engineering and Business teams to build with AI collaboratively, with centralized governance
With Clark, you prompt to generate an internal application, automatically applying your unique enterprise standards: design systems, integrations, permissions, SSO, audit logging, and more. This enables domain experts in IT, Business and Data teams to collaborate in the development process alongside Engineering, increasing development velocity 10x while enforcing complete governance.
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A novel multi-agent architecture, built for enterprise app development at scale
Clark is designed to operate exactly like a human internal tools team at your company. Platform Engineering or Central IT define your organization’s unique IT, security, and compliance policies in Superblocks. Upon prompting, Clark’s specialist AI agents in Design, IT, Engineering, Security, and QA then use that unique context to enrich AI system prompts, ensuring every generated app meets your enterprise standards out of the box.
Clark applies your organization’s standards and guardrails in each area, for example:
- Design: Applies your design system, reusable React components, themes, and UX standards.
- IT: Enforces integration permissions and RBAC/ABAC via Okta or Entra ID groups, ensuring proper access across APIs and UIs.
- Engineering: Generates apps from approved building blocks. Generates custom code in React, Python, JS, or SQL code only when required, following your best practices.
- Security: Enforces org-wide security policies, including PII masking, audit logging, secrets management, and scanning for vulnerable packages.
- QA: Auto-generates and runs tests to ensure app accuracy, stability, and production readiness.
This unique architecture for Clark blends probabilistic AI generation with deterministic policy enforcement for results you can rely on in production.
Build at the right level of abstraction: AI, Visual, or Code — all in one platform.
Since engineers require a completely different set of tools than non-engineers, Superblocks provides best-in-class tooling across three modalities that are live-synced for real-time collaboration across personas:
- AI: Use natural language with Clark to generate full-stack applications on your enterprise standards
- Visual: Point and click meets drag and drop for precise control all aspects of the app in the Superblocks Editor
- Code: Modify the underlying React code directly in your preferred IDE (e.g. Cursor, Windsurf, VSCode)
And best of all, your builders and applications are governed centrally through a single pane of glass, so IT has full control as your internal application landscape evolves quickly with AI.
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The future belongs to the builders
There are over 1 billion spreadsheet users and the majority of enterprise processes still run on Excel. Each of these users will become software builders with AI. With the introduction of Clark on Superblocks, enterprises no longer have to choose between speed and governance to develop mission-critical enterprise apps to run their operations. Clark safely unlocks a new class of builders across your organization with the oversight of the engineers and IT, transforming your operations completely.
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Clark is now in private beta — request early access today. We can’t wait to see what you build.
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“Superblocks empowers our teams to rapidly build critical AI-driven applications, all while ensuring our data and access policies are securely enforced on a governed platform.”

“With Superblocks, we’ve enabled people who are not traditional engineers to build solutions. What’s impressed me most is the way Superblocks integrates AI responsibly, suggesting changes instead of blindly applying them. That’s exactly the right approach."

"We've moved away from individual scripts and solutions by leveraging Superblocks across the board—taking advantage of its AI capabilities. We need a central platform, otherwise each team does their own versions of things.”
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“Superblocks is taking a bold, inventive approach to one of the most expensive inefficiencies in business. Instead of solely focusing on making engineers more efficient, they’ve empowered more teams to build the internal applications needed for back office workflows and operations.”

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