Platform

W-MaaS

Model-as-a-service inference endpoints.

  • Hosted model endpoints
  • OpenAI-compatible API
  • Usage metering
  • Multiple models
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W-MaaS product UI previewUI preview

W-MaaS gives developers and teams instant access to hosted AI model inference without managing GPUs, containers, or scaling infrastructure. Drop in your API key and start calling models through a fully OpenAI-compatible interface — your existing SDKs and tooling work unchanged. Built for builders who need reliable, metered inference as a platform primitive rather than a separate vendor relationship.

W-MaaS overview visual

Hosted inference, zero ops

W-MaaS runs model endpoints on managed infrastructure so you never provision a GPU node or worry about cold-start latency. Each endpoint is always-on and accessible over HTTPS with consistent response times. Your team ships features, not infrastructure tickets.

W-MaaS: Hosted inference, zero ops

OpenAI-compatible API

Every endpoint speaks the OpenAI Chat Completions format, so any library or tool that already works with OpenAI works with W-MaaS — no adapter code required. Swap the base URL, keep your existing prompts and client code, and gain access to the full model roster available on the W platform.

W-MaaS: OpenAI-compatible API

Usage metering & quota control

Token consumption is tracked per request and surfaced in real time through W-Radar. Set per-workspace quotas to prevent runaway costs, inspect usage history, and allocate capacity across teams. Billing integrates directly with your W membership so there is no separate invoice to reconcile.

W-MaaS: Usage metering & quota control

Multiple models, one endpoint surface

Choose from a curated roster of open and proprietary models through a single API surface. Switch models by changing a single parameter — no new credentials, no new SDK, no new deployment. As new models are added to the platform, they become immediately available to your existing integration.

Use cases

  • Add LLM-powered features to a product without managing model hosting
  • Run internal AI tools under a shared quota controlled by your organization
  • Prototype with multiple models and switch without changing client code
  • Meter per-team AI usage for internal chargeback or governance reporting
  • Back a W-ModelGW route with a private, rate-limited inference endpoint
Products you use

No per-product fees. Your W membership unlocks every product — sign in anywhere with W-ID.