Superblocks’ cover photo
Superblocks

Superblocks

Software Development

New York, New York 8,558 followers

Unite engineering, IT, and business teams to build secure internal apps—together

About us

Superblocks is the only internal AI app generation platform powering mission critical operations at global enterprises like Instacart, Credit Karma, and Carrier. It brings business, IT, and engineering teams together to build production-grade internal apps with AI. Centrally govern with granular access controls like RBAC and SSO, version control, audit logs, and observability - all from a single pane of glass. Superblocks is backed by Kleiner Perkins, Spark Capital, Greenoaks, and Meritech Capital, along with founders of Workday, Box, Okta, and more.

Website
http://www.superblocks.com
Industry
Software Development
Company size
51-200 employees
Headquarters
New York, New York
Type
Privately Held
Founded
2021

Products

Locations

Employees at Superblocks

Updates

  • ✨ Wrapping up an incredible week at AWS re:Invent, where we had the privilege of showcasing how 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 is transforming what is possible with AI! We connected with hundreds of builders, watched them create live applications, and showed how Superblocks empowers teams to 𝗯𝘂𝗶𝗹𝗱, 𝗱𝗲𝗽𝗹𝗼𝘆, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 with speed and security. At Superblocks, we believe the future of enterprise development is empowering domain experts to build autonomously while the IT org maintains complete governance and control. One platform where technical and non-technical teams ship enterprise-grade applications, without bottlenecking engineering. The excitement was electric! CTOs built financial dashboards. Engineers created deployment tools. Product managers prototyped customer portals. Some serious, some experimental - all built with the enterprise governance that gets them to production. Thank you to the incredible re:Invent community for your curiosity, collaboration, and inspiration. We cannot wait to see what you build next. #reinvent2025 #AWSreInvent #EnterpriseVibeCoding #Governance #AWSmarketplace #AWS #AWSPartners

    • No alternative text description for this image
    • No alternative text description for this image
    • No alternative text description for this image
    • No alternative text description for this image
  • View organization page for Superblocks

    8,558 followers

    Just one more week for AWS re:Invent! The gap we keep hearing from enterprise CTOs: Teams can prototype with AI quickly, but getting those prototypes into production with proper governance is where everything stalls. That's the problem Superblocks solves. Your domain experts build with a full context of your actual systems, including your databases, APIs, and business logic. Engineers set the governance and security once, then your domain experts can ship production apps autonomously - all within your VPC We're meeting with CTOs and VPEs. Stop by Booth #1328 at the Venetian Expo Center to discuss your AI development infrastructure. Book a meeting with us - https://lnkd.in/ei9spsVh #AWSreInvent #AWSPartners #EnterpriseVibeCoding

    • No alternative text description for this image
  • View organization page for Superblocks

    8,558 followers

    "Vibe coding" was just named Word of the Year by Collins Dictionary. 💡 Inside the enterprise, though, another phrase is trending fast: Shadow AI. 👻 Ungoverned AI tools are generating code outside of security, compliance, and audit processes. We surveyed 50 CTOs and VPs of Engineering in enterprises on how they're adopting AI coding tools, and their biggest concern was guardrails, governance and security. Check out the results in our new report below. The report also breaks down a clear, simple framework for: - accelerating safe, governed AI adoption for internal apps - eliminating Shadow AI risks across teams - maintaining full control across your tools, data, and workflows 👉 Let’s not make “Shadow AI” the trending term next year. To see how Superblocks can help you build secure, governed internal apps with AI, aligned to your exact stack, RBAC, and audit requirements - book a demo below: https://lnkd.in/equVhyEF #Superblocks #Enterprisevibecoding

  • According to Gartner, by 2026, over 80% of enterprises will have deployed generative AI applications in production. AWS has built the unified infrastructure for this with SageMaker - bringing together SQL analytics, data processing, ML development, and generative AI in one governed environment. We break down the complete stack architecture and how governed AI platforms provide the application layer on AWS. The modern enterprise data and AI architecture has 4 layers: - Foundation Layer - Governance Layer - Capability Layer - Application Layer The application layer is where governed AI platforms complete the stack. While AWS SageMaker Unified Studio provides the infrastructure and development environment, enterprises still need to build the applications that end users interact with. When infrastructure and applications share the same governance framework, the integration gaps are eliminated. One IAM policy applies from data engineering to end-user apps. We break down the unified experience in enterprises and what the most successful implementations have in common. https://lnkd.in/eV4mYf9s

  • We interviewed 50 CTO's and VP's of Engineering at enterprises how they're using AI coding tools to build internal apps. Whether you're exploring AI tools or already have them in production, this report offers a practical roadmap. Here's the link. https://lnkd.in/exVk9uqX

    According to Gartner, AI vibe coding is on track to reshape software delivery, with enterprises expected to use these tools and techniques to build 40%+ of all new production software by 2028. The new State of Enterprise Vibe Coding report backs that up with data from 50 C-suite and VP-level engineering leaders across SaaS, finance, and infrastructure companies ranging from 500 to 10,000+ employees. A few themes stood out: ✈️ AI-assisted development is leaping from pilots to production. ⚠️ Teams are not moving recklessly. Most leaders are adopting AI with a very intentional, security-heavy approach, especially around data access and review. 🔐 Governance is separating the fast from the very fast. The organizations gaining real leverage are not just using AI. They are putting structure around it: permissions, audit trails, source control, and predictable review cycles. 🏗️ Platform Engineering is driving the rollout. They are the ones laying down the “paved road” for AI-powered internal development so teams across the business can build safely and consistently.

  • Introducing Professor Brad Wyman!

    View profile for Brad Wyman

    It was an honor to participate in Carnegie Mellon University - Tepper School of Business Executive AI Education Session - “AI Value Creation, Operating Model Transformation, and Moving from a ‘Thousand Flowers Bloom’ Approach to Truly Transformative Opportunities.” A few insights from the discussion: 🤖 AI makes writing code easy, but building secure, governed, production-grade applications is still slow and quite challenging. Even with advanced AI tools, enterprises struggle with the architecture, compliance, and operational rigor required for real-world AI deployment. 📈 Most of the executives in the room were familiar with Vibe Coding, and most have already experimented with it for design and prototypes. ⏳ Every organization faces a 2+ year engineering backlog, whether they have 10 engineers or 10,000. The universal question: How do we unlock a step function in engineering capacity to deliver business value more quickly? 🏛️ Legacy systems running mission-critical processes represent a big opportunity for AI transformation - but time, cost, and risk make them hardest to prioritize. 🔐 As AI tool adoption accelerates, so do concerns around security, governance, and “Shadow AI.” More teams are experimenting, but without guardrails, organizations expose themselves to real operational, complexity and compliance risks. 🏗️ The build vs. buy conversation is evolving fast in the age of AI. Executives are rethinking where AI accelerates internal development and where platform leverage creates outsized ROI. At Superblocks, these are many of the challenges our Enterprise Vibe Coding Platform was built to solve for: 🚀 5–10x engineering productivity through AI-accelerated internal app development with 80-90% less maintenance. 👩💻 Unlocking more organizational capacity by empowering junior devs, product, tech-savvy ops, and data teams to build securely, without relying solely on engineering 🔐 Enterprise-grade governance and controls to eliminate Shadow AI and enforce your architectural, security, and compliance standards across every app and workflow. ⚖️ Changing the Build vs Buy, Paradigm: Superblocks gives enterprises the flexibility to build exactly what they need. It’s the best of both worlds: the ownership of “build” with the speed & security of “buy.” Thank you to Tanya PriveBalika Sonthalia, and Sean Ammirati for including Superblocks & FieldAI in this thought-provoking discussion! Sebastian Scherer #futureofwork #nextbilliondevelopers

    • No alternative text description for this image
    • No alternative text description for this image
    • No alternative text description for this image
  • Exciting update for enterprises who are vibe coding apps on Databricks and are able to do it while enforcing Unity Catalog permissions.

    View profile for Thomas Mante

    Big news for our Databricks ecosystem partners and customers! We just released a new demo showcasing Databricks Token Federation in Superblocks. Teams can now vibe code internal apps quickly while inheriting Unity Catalog permissions via auth token passthrough. In plain English: build faster, stay governed. Why this matters: Many of our Global 2000 design partners asked for a way to move at AI speed without creating new credential sprawl or side doors to data. Token Federation means the same Unity Catalog policies your data teams trust are enforced automatically in your Superblocks apps - no copies, no workarounds, no surprises. Your builders get the creative velocity of vibe coding, and your security/data leaders get guardrails-by-default. If you’ve been evaluating other vibe coding tools and worried about governance, this is the difference: speed with inherited controls. Watch the demo: https://lnkd.in/gP5iYpDz Docs in comments Excited to get this in front of customers and prospects. DM me or find me at DAIWT NYC and Chicago if you want a tailored walkthrough for your Databricks environment. #enterprisevibecoding #aiapps #unitycatalog #databricks #superblocks

  • Superblocks reposted this

    This holiday season, we launched a brand new corporate gifting experience at Wine.com: a project we’re really proud of. (https://lnkd.in/gHpZhe7H) What started as a manual, spreadsheet-heavy process is now a self-serve platform that makes it easier for customers to send gifts nationwide, just in time for the busiest time of the year. Huge thanks to our team and our partners at Superblocks for helping us build and ship this in record time. It’s been exciting to work with a great team and a great reminder of how tight feedback loops, strong product alignment, and the right internal tooling platform can drastically accelerate delivery without sacrificing quality. See my interview about our experience building this platform with Superblocks at the YouTube Link below. https://lnkd.in/gsywMeGM

Similar pages

Browse jobs

Funding

Superblocks 2 total rounds

Last Round

Series A

US$ 23.0M

See more info on crunchbase