Building - and governing - the internal apps that AI now writes.
Superblocks HQ, 100 5th Ave, New York. The company's AI agent, Clark, turns plain-English prompts into full-stack enterprise apps - then hands IT the audit trail. Photograph illustration: company logo.
Superblocks is an enterprise software platform that lets organizations build, deploy, and govern internal applications - the admin panels, order-management screens, data dashboards, and back-office workflows that keep a company running but that you cannot buy off the shelf. Its defining product, an AI agent named Clark, takes a natural-language prompt and produces a working full-stack app, written in clean, extensible React code rather than a locked proprietary format.
The twist that sets the company apart is what happens around that generated app. Every application Clark builds inherits the enterprise's existing security policies, data permissions, and design standards. Role-based access control, audit logs, VPC and on-premise data handling, multi-environment support, and Git-based source control are wired in from the start - not bolted on after a security review flags a problem. Superblocks describes this as bringing AI-generated software "back under IT control."
For teams that prefer to build by hand, the platform also offers a visual, drag-and-drop editor with API and database integrations, workflow orchestration, custom code extension, and scheduled jobs. AI generation, visual assembly, and hand-written code all sit on the same governed foundation.
"Vibe-coded apps just became the #1 attack vector in the enterprise. Business teams are building on production data, while IT has zero visibility."
Two problems collide here. The first is old: the internal-tools backlog. CTOs want their best engineers on the customer-facing product, but operations keeps pulling them back to build internal software, because that is the only way ops scales with the business. The apps pile up faster than any team can ship them.
The second problem is new. AI coding tools made it trivial for non-engineers to spin up apps in an afternoon - "vibe coding." But those apps often touch production data with no reviews, no permissions, and no audit trail. By one figure Superblocks cites, roughly 62% of AI-generated code contains vulnerabilities or fundamental errors. Speed created a governance gap. Superblocks aims to close it without slowing anyone down.
An AI agent purpose-built to generate secure internal enterprise apps from natural-language prompts. Produces clean, traceable React code and enforces org security policies, data permissions, and design standards as it builds.
Drag-and-drop editor with API and database integrations, workflow orchestration, custom code extension, and scheduled jobs for internal tools, admin panels, and back-office apps.
Role-based access control, audit logs, VPC / on-premise data handling, multi-environment support, Git-based source control, and observability across every app - AI-built or hand-built.
Export and extend generated apps as real React code in your own IDE. No black box, no low-code lock-in - a faster start to code you fully own.
Customers. Superblocks sells to enterprise IT, engineering, data, and operations teams - and to a new class of "builders" beyond engineering: ops, finance, and domain experts who have the context but not the code. Publicly referenced customers span financial services, travel, logistics, and healthcare.
Business model. Superblocks is B2B SaaS. Enterprises subscribe to build and govern internal apps, with pricing tied to usage, seats, and governance and security features. Deployment runs on cloud and multi-cloud, with on-premise and VPC options for security-sensitive customers who need data to stay inside their perimeter.
Revenue & scale. Estimated annual revenue is around $5.5M, with a team of roughly 51 that the company planned to double after its 2025 raise.
Superblocks has raised about $61M total. Kleiner Perkins has backed the company since the early days; the 2025 extension added angel firepower from Box CEO Aaron Levie and Workday founder Aneel Bhusri.
Investors: Kleiner Perkins · Spark Capital · Greenoaks · Meritech Capital · Aaron Levie · Aneel Bhusri. Post-money valuation not publicly disclosed.
Consumer AI builders like Lovable, Bolt, and Vercel's v0 win applause on the demo. Superblocks is aiming at the deploy - the moment an app has to survive a security review and touch real production data. In internal tools, its closest rival is Retool.
The founding thesis came from a customer insight. CEO Brad Menezes scaled Datadog's Application Performance Monitoring product from zero to $100M in revenue over four years. On sales calls he kept meeting customers monitoring their internal apps - and realized monitoring was the small part. The real pain was the mountain of mission-critical internal software they could not build fast enough.
He co-founded Superblocks in 2021 with CTO Ran Ma, who had built for developers at Confluent. The team pulls talent from Datadog, Confluent, Twilio, Fivetran, Airtable, Instacart, Box, and Okta - companies that know what enterprise-grade software has to withstand. Menezes now sits on the Forbes Technology Council.
"This isn't a toy or prototype generator. This is a serious platform for enterprises to scale internal app development, securely and sustainably."
Superblocks sits at the intersection of three fast-moving markets: enterprise low-code, internal developer tools, and generative AI. Its bet is that the governance question - not the generation question - decides who wins the enterprise. As investor Mamoon Hamid put it, the opportunity is to lower software development costs the way cloud infrastructure once lowered the cost of servers.
If AI is going to let ops teams, data analysts, and business domain experts build production software, someone has to make sure that software is safe. Superblocks is positioning to be the layer that says yes to the builders and yes to IT at the same time.
Brad Menezes and Ran Ma start Superblocks to tackle the enterprise internal-tools backlog.
Funding expands the drag-and-drop platform for building internal apps and workflows.
The AI agent Clark ships and the Series A extends to $23M, taking total funding to $61M.
A major release focused on putting AI-generated enterprise apps under IT governance and control.
It's an enterprise platform for building, deploying, and governing internal applications. Its AI agent Clark generates secure full-stack apps from natural-language prompts using extensible React code.
Brad Menezes (CEO) and Ran Ma (CTO) founded it in 2021. They came from Datadog and Confluent respectively, and the company is headquartered in New York City.
Those target consumers and prototypes. Superblocks focuses on the enterprise, enforcing security policies, permissions, audit logs, and design standards so generated apps are production- and compliance-ready.
About $61M total, including a $37M Series A in 2022 and a $23M Series A extension in 2025, from Kleiner Perkins, Spark Capital, Greenoaks, and Meritech Capital.
Enterprise IT, engineering, data, and operations teams. Publicly referenced customers include SoFi, Instacart, Cvent, Carrier, Airwallex, and the NHS.
Profile compiled from public sources. Funding figures and customer references reflect public reporting as of mid-2026; valuation is not publicly disclosed. Company logo used for identification.