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For midmarket & enterprise

Useful AI for your people. A deployment your business can own.

Give teams one place to ask questions, create documents and run workflows with company context. Choose how Plooms fits your infrastructure, access requirements and operating model.

Plooms Your workspace
Prepare a supplier review from our policy and meeting notes.
Company policies + meeting notes
Supplier review briefDraft ready for the team to review
Context with sources and history
Illustrative workflow. Explore the interactive walkthrough

Connected to the work your business already does.

Put Plooms to work

Start with work your team recognizes.

Start with work that crosses teams, documents and decisions. Connect the relevant sources and keep the review steps your business needs.

01

Find answers across company knowledge

Ask about policies, projects and past decisions in plain language. Follow the supporting sources instead of searching disconnected folders.

02

Turn context into working documents

Create briefs, presentations and spreadsheets from relevant company material, then review and refine the actual files.

03

Coordinate multi-step work

Use Playbooks and agents for repeatable tasks, with approval gates and scoped tool access where the workflow calls for them.

Explore the full platform
Why Plooms

The workspace is only part of the decision.

Your technology team also needs to understand where data lives, how models run and who operates the stack.

Choose your application boundary

Run the application, documents and knowledge graph in your Azure tenant, or use a fully managed dedicated business stack.

Keep the history behind an answer

Plooms tracks when information was true and when it was learned. New facts can supersede earlier ones without erasing their history.

Separate model serving from the application

Plooms manages open-weight model serving separately. The inference configuration is agreed for your needs; a dedicated application stack does not automatically mean dedicated GPUs.

Deployment & cost

Choose what you want to operate.

Both options use separately managed model serving. Stored data location and inference processing are distinct parts of the architecture.

Your Azure. Managed model serving.

The application, documents and knowledge graph run in your Azure tenant. Plooms manages model serving separately, receiving the relevant context needed for inference.

Commercial structure
One-time setup, per-seat subscription and token usage.
Infrastructure billing
Azure is billed directly to you by Microsoft.
Request a customer-cloud workspace

Dedicated stack. Fully managed.

Spej operates your dedicated business stack in an isolated Azure subscription within its tenant. Model serving is managed as part of the agreed deployment.

Commercial structure
One-time setup, per-seat subscription and token usage.
Infrastructure billing
Azure costs pass through at cost plus a fixed markup.
Request a managed workspace

Compare seat, infrastructure and usage assumptions before choosing a deployment. Explore the cost simulation

Your next step

See how Plooms would fit your business.

Walk through the product, the deployment boundary and the cost assumptions with your business and technology teams together.