ISV, GSP, and MPOPP Partner

Selling Apps on AWS

How apps drive consumption across Amazon Bedrock, Amazon RDS, Amazon Redshift, and the AWS data platform — and how Superblocks helps you sell them.

What is Superblocks

Superblocks is the governed enterprise vibe coding platform. Business teams (analysts, ops, finance, HR, marketing) prompt an AI agent called Clark to build production apps on top of your customer's AWS data. IT configures governance once. Every app inherits it, so hundreds of builders ship safely on AWS AI services.

Who builds

Business teams, not engineers

What they ship

Production apps, not prototypes

How it stays safe

IT sets guardrails once

Where it runs

Cloud-hosted or inside the customer's own AWS account

Build governed apps at scale on AWS

Business users building 1,000s of Production Enterprise Apps

Burn down committed spend and drive AWS consumption via Superblocks, the enterprise vibe coding platform built on AWS.

  • Token Auth
    Inherit SSO & IAM policies
  • $AWS
    Amazon Bedrock
    Clark inference
  • $AWS
    Amazon S3
    Object storage
  • $AWS
    Amazon RDS
    Operational database per application
  • $AWS
    Amazon Redshift
    Governed read/write queries

AWS services activated per app

  • Amazon Bedrock
    Apps invoke Bedrock for summarization, classification, document intelligence, and agentic workflows. Every business team interaction can be a Bedrock API call. Clark itself runs on Bedrock inference, so the AI layer continuously drives consumption.
  • Amazon RDS
    Each new Superblocks app can provision an RDS instance as its transactional backend. Orders submitted, approvals recorded, records updated — apps that mutate state live here. Scales naturally as apps proliferate across the org.
  • Amazon S3, Redshift, and Aurora
    Apps read and write against governed analytics and operational data. Every screen, every chart, every filter is a query. Token federation through IAM keeps permissions intact end to end across object storage, the data warehouse, and relational databases.
  • EKS, Secrets Manager, CloudWatch
    In Cloud Prem deployments, the entire Superblocks platform runs inside the customer's AWS account — EKS for compute, Secrets Manager for credentials, CloudWatch for observability. Every user interaction is direct AWS infrastructure spend.

Superblocks' AWS Cloud Prem

A dedicated, single-tenant deployment inside the customer's own AWS account, fully managed by Superblocks.

Why customers want it
Data Residency & Isolation

All application data, AI prompts, and responses are processed and stored entirely within the customer's AWS account and chosen regions.

AI Inference on Amazon Bedrock

Clark executes inference using Amazon Bedrock in the customer's account. All governed by their regional selection, model access controls, and service policies.

Enterprise Security & Compliance

Apply existing AWS IAM policies, VPC network controls, and governance guardrails directly to Superblocks. No new security model to learn.

Why AWS sellers love it
Counts Toward AWS PPA Spend

All Cloud Prem infrastructure runs in the customer's AWS account and counts toward their PPA committed spend, directly accelerating PPA drawdown.

Drives Native AWS Consumption

Every Superblocks user interaction consumes EKS, RDS, S3, Bedrock, Secrets Manager, and CloudWatch. Direct AWS spend — no middleman, no leakage.

Managed Service — No Ops Burden

Superblocks owns all upgrades, patching, and incident response. Customers get infrastructure ownership with zero operational lift — removing the top security objection.

Superblocks compared with Amazon Q Developer

Amazon Q Developer is AWS's AI-powered coding assistant for engineers and DevOps teams — it accelerates software development, automates migrations, and assists with cloud operations inside the tools developers already use. Superblocks is the app layer for governed enterprise workflows on AWS data. The two serve different buyers and solve different problems.

Area Amazon Q Developer Superblocks
Primary builder Software engineers, DevOps, cloud architects, SREs Business teams (ops, finance, HR, analysts, PMs). Plus engineers who want governance baked in
Interface IDE (VS Code, JetBrains, Visual Studio), CLI, AWS Console, Slack Browser, natural language — no IDE or AWS Console access required
Output Code completions, agentic code edits, IaC templates (Terraform, CloudFormation, CDK), migration plans, security scans, cost estimates Production apps with UIs deployed to end users — approval flows, portals, admin consoles, exception queues
Reach in the account The technical team already inside developer tooling and AWS Console The whole company, including people who never log into the AWS Console
Governance Code quality, security best practices, IAM and CloudFormation linting App-layer RBAC, SSO passthrough, audit logs, secrets management, deploy controls — on top of IAM passthrough
AWS consumption driver Accelerates developer velocity; consumption comes from the infrastructure and code shipped downstream Direct per-interaction consumption: Bedrock calls, RDS/Aurora queries, Redshift reads, EKS compute on every user action
Best for Engineering teams writing code, modernizing legacy workloads, and managing AWS infrastructure faster Governed apps the whole business uses daily, on AWS data and beyond
How to sell apps

The signals to spot deals, qualifying questions, 60-second talk track and buyer personas.

Three signals of a great deal

  • 01
    Vibe coding is already happening

    Prototypes are floating around the org. The CISO has had at least one "what is this?" moment. Business teams are not waiting for IT.

    ‍

    Listen for: "we banned X tool," "shadow AI," "the board told us to bring in AI."

  • 02
    Governed democratization on AWS

    Engineering is the bottleneck. Business analysts and ops teams have ideas that never ship. The customer wants IT to say yes more often without losing IAM control.

    ‍

    Listen for: "engineering backlog," "non-technical builders," "IAM governance matters."

  • 03
    Scale and control as a platform play

    They have seen the one-off prototype work. Now they want a repeatable stack — hundreds of apps the same way, configured once and inherited everywhere.

    ‍

    Listen for: "standard stack," "repeatable," "platform decision," "enterprise-wide."

Four questions that qualify the deal

  • 01
    Who is going to build the app?
  • 02
    What systems does it read or write— are they in AWS?
  • 03
    Who is going to own and control this at the IT level?
  • 04
    What app-layer governance does security need?

The right answers: non-data-team builders, broad data access across AWS and beyond, IT or the CIO owning it centrally, and serious app-layer governance needs. When you hear that shape, it's a Superblocks plus AWS deal.

The 60-second talk track

  • 01
    Name the gap

    Every customer governs their data with AWS. Most have no equivalent layer for the apps that sit on top of it.

    ‍

    That gap is where shadow tools grow and where engineering backlogs build up.

  • 02
    Make the risk real

    Every app that opens up AWS data is a new surface for leaks. More builders, more apps, exponentially more risk.

    ‍

    The app layer needs the same governance AWS brings to the data — or AI sprawl outpaces IAM controls.

  • 03
    Tie it to consumption

    Every governed app drives AWS services: Bedrock inference, RDS transactions, Redshift queries, and in Cloud Prem deployments — EKS, Secrets Manager, and CloudWatch on every user interaction.

    ‍

    The customer gets safe app development. You get numerous levers of AWS consumption per app.

The right personas

  • CTO or CIO
    Economic buyer

    Owns IT and the AI mandate. Has the budget. Holds the room.

  • Head/VP of platform/data eng
    Mobilizer

    Manages AWS infrastructure and the data platform. Becomes your active seller inside the org.

  • CISO or InfoSec Partner
    Risk gatekeeper

    Either blocks or accelerates. Convert them with the architecture and audit story in one meeting.

How to think about apps with the AWS stack

The Launchpad Program

The first 10 AWS account teams to engage get end-to-end support: scoping, a pre-built demo on the customer's AWS data, and a joint customer pitch. No cost to the customer.

  • 01
    Surface a use case

    AE or SA flags an account with a stalled app, an AI sprawl problem, or AWS data the customer wants to turn into a real product. Approval workflows, internal portals, ops tools — any backlogged use case qualifies.

  • 02
    We build the demo

    Superblocks scopes and builds a working app on the customer's use case before the first meeting. SA walks in with a live demo on the customer's own AWS data — not a deck.

  • 03
    Joint customer pitch.

    AWS rep and Superblocks pitch together. Customer sees their own data, their own use case, live. Drives Bedrock, RDS, and Redshift consumption. Creates a joint AWS case study.

Apply for the Launchpad Program

First 10 AWS account teams. White-glove support at no cost to the customer.

Questions? Email: tom@superblockshq.com

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