Perimattic
ManageStacks · AI & ML

Managed FlowiseAI Hosting — production-ready from $15 a month

Drag-and-drop LLM flow builder. Deployed on your own dedicated instance in AWS, Azure, or GCP, kept patched, backed up, and monitored by ManageStacks — standard FlowiseAI, no lock-in.

FlowiseAI is an open-source low-code tool for building LLM flows and AI agents with a drag-and-drop interface — deployed and fully managed by ManageStacks on AWS, Azure, or GCP with persistent storage and monitoring.

Daily backups includedAWS · Azure · GCPData export any time24×7 SRE available
FlowiseAI logo
FlowiseAI
Drag-and-drop LLM flow builder
100+ LLM & vector store integrations
Apache 2.0Open source
The application

What does FlowiseAI do, and why do teams deploy it?

FlowiseAI is an open-source low-code tool for building customized LLM orchestration flows and AI agents. Its drag-and-drop interface makes it easy to create chatbots, AI assistants, and document analysis tools without extensive coding.

Flowise supports a wide range of LLMs, embeddings, vector stores, and tools. It enables rapid prototyping and deployment of AI applications with built-in features for conversation memory, document loaders, and API endpoints.

  • Drag-and-drop LLM flow builder
  • 100+ integrations with LLMs and tools
  • Custom chatbot and AI agent creation
  • Document loaders and vector store support
  • API endpoints for production deployment
  • Conversation memory and context management
Neural network visualization representing machine learning inference
AI & ML

Drag-and-drop LLM flow builder

Pricing

What does managed FlowiseAI hosting cost?

Flat per-app pricing, in your chosen AWS, Azure, or GCP region. No per-user pricing — a busy deployment costs the same as a quiet one.

Starter

$15/app/mo

Staging and internal tools. Dedicated instance, TLS, daily backups, managed upgrades.

Standard

$29/app/mo

Production workloads. Adds monitoring, staging environment, region choice, priority support.

Business

$49/app/mo

High-traffic and compliance workloads. Adds a high-availability replica and same-day support.

24×7 SRE retainer

$499/mo

Round-the-clock on-call across every hosted application, for teams that need a pager answered at 3am.

The honest answer

When is self-hosting FlowiseAI the right answer instead?

“Managed hosting is not always the correct call.”

Self-host when a platform team already runs the infrastructure and on-call rotation to operate FlowiseAI at genuinely low marginal cost. Self-host when compliance requires an air-gapped or on-premises deployment that no hosted option can satisfy. And self-host when the deployment depends on heavy customisation with a fast internal build-deploy loop, because an internal release process will beat any managed change process.

For everyone else — teams whose engineers have better things to do than shepherd upgrades — managed hosting is cheaper than the hours it replaces.

Infrastructure

Which cloud should FlowiseAI run on — AWS, Azure or GCP?

For most workloads, the choice of cloud matters less than proximity: run FlowiseAI in the same cloud and region as the applications and data it talks to, because every request between them adds a round trip. The underlying compute performs equivalently across AWS, Azure, and GCP.

In practice, an existing cloud footprint decides it. All plans support all three clouds, and moving regions later is a scheduled migration, not a rebuild.

AWS logo
AWS

Deepest managed-service catalog, default when there's no existing footprint

Azure logo
Azure

Best fit for teams already on Microsoft 365 or Entra ID

GCP logo
GCP

Strongest for data/analytics-adjacent workloads

GPU compute hardware used for AI model inference
Multi-cloud

Every plan supports AWS, Azure, and GCP — region choice included.

FAQ

Common questions about FlowiseAI on ManageStacks

How long does it take to deploy FlowiseAI on ManageStacks?

Under 5 minutes. ManageStacks provisions FlowiseAI with persistent storage, SSL, and monitoring automatically — no Docker setup required.

Can I connect FlowiseAI to multiple LLM providers?

Yes. FlowiseAI supports 100+ integrations including OpenAI, Anthropic, local models, and various vector stores. Configure them through the visual interface.

Does ManageStacks handle FlowiseAI version upgrades?

Yes. We test each release for stability and ensure persistent storage for flows and chat history is preserved during upgrades.

Run FlowiseAI without carrying the pager

Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $15/mo.