Control plane: Operational
UTC: --:--:--
// vs · internal tools·centralized AI control + governance

stackcontrolai vs Superblocks.

Superblocks builds internal apps. stackcontrolai governs the AI those apps — and every other surface — actually call.

Superblocks is a serious internal app platform with AI features bolted in. It is not designed to govern AI traffic outside the apps you build with it — which is what stackcontrolai handles centrally.

// superblocks · sweet spot

Engineering teams building internal apps with embedded AI

where they're strong
  • · Strong internal-app authoring
  • · Solid integrations and SSO
  • · AI components inside the app builder
where they leave gaps
  • · AI governance only inside Superblocks-built apps
  • · No cross-stack model routing or cost ledger
  • · No platform-level audit across providers
// stackcontrolai · where we win

Centralized AI control + governance

differentiator
  • · One audit + policy plane across every surface
  • · Vendor-agnostic routing and approval chains
  • · Cost attribution across all AI consumers
use it with

Keep building internal tools in Superblocks. Wire their AI nodes through stackcontrolai so the same policy, audit, and cost rules apply whether the call originated in an app, an agent, or a backend service.

// capability_matrix

stackcontrolai vs Superblocks, row by row.

CapabilitystackcontrolaiSuperblocks
Multi-vendor model routing full none
Inline policy enforcement full partial
Approval workflows full partial
Tamper-proof audit log full none
SOC 2 / ISO / EU AI Act mapping full none
Cross-stack cost attribution full none
Secure deploy (VPC · self-host) full partial
Granular RBAC + ABAC full partial
// why centralized control wins

Five things a control plane has to do.

pillar 01

Centralized control plane

One plane for every model, agent, and workflow — across every provider.

pillar 02

Cross-vendor governance

Policy enforced inline on OpenAI, Anthropic, Google, xAI, Mistral, Bedrock, vLLM.

pillar 03

Policy-as-code + approvals

Versioned policy DSL with human-in-the-loop approval chains wired to audit.

pillar 04

Tamper-proof audit + compliance

Every prompt, output, decision logged and mapped to SOC 2, ISO 27001, EU AI Act.

pillar 05

Cost + reliability across stacks

Token, dollar, and SLO accounting per team, app, and feature — every provider.

// frequently asked · stackcontrolai vs superblocks
Do we have to rebuild apps?expand

No. Point the Superblocks AI nodes at stackcontrolai instead of the model providers directly. Governance and audit kick in without changing the apps themselves.

What about non-Superblocks workloads?expand

That's the point of a control plane. stackcontrolai covers internal apps, agent runtimes, batch jobs, and ad-hoc backend calls under one policy and one audit log.

Is this a Retool competitor?expand

Not directly. stackcontrolai is upstream of any internal-app platform — Superblocks, Retool, custom — and governs the AI calls those tools make.

Can we self-host?expand

Yes. stackcontrolai runs in your VPC or fully self-hosted, including the audit store and policy engine.

// platform
AI Control Plane

One control plane for governance, orchestration, multi-model routing, observability, agents, and cost. Built for enterprise AI.

Read platform page
// buyer's guide
Enterprise AI infrastructure

How to architect enterprise AI infrastructure: control plane, gateways, vector stores, agents, governance. Compared.

Read guide
// see how we compare to others
// see it on your traffic

One plane for governance, routing, audit, and cost.

Replace stitched-together vendors with a single control plane — without ripping out the tools your teams already use.