Inferagate
Business Value

Adopt AI faster without turning every app into a custom AI platform.

Reduce AI security risk, operational complexity, and provider sprawl while improving visibility, spend control, and innovation speed.

Risk and control

Make AI adoption safer for the business.

  • Prevent unsafe prompts, sensitive data exposure, and unauthorized AI usage.
  • Enable approved experimentation inside enterprise boundaries.
  • Use audit, usage, policy, and routing evidence to support reviews.
Operating leverage

Replace fragmented AI integrations with one platform.

  • Accelerate enterprise AI adoption with centralized governance and security controls.
  • Standardize how AI services are consumed across the organization.
  • Track model usage, token consumption, budgets, and provider activity from one place.
Console areaUsage, Cost, Plans, Logs, Workspaces
Primary usersExecutives, FinOps, platform, product
OutcomeControlled AI innovation at production scale
Step by step

Turn AI usage into budget, adoption, and renewal signals.

Open usage
Inferagate usage and cost analytics screen
  1. 01
    Track usage volume

    Review requests, token movement, provider activity, route pressure, and model hotspots.

  2. 02
    Segment by scope

    Break usage down by workspace, project, environment, provider, model, and route.

  3. 03
    Apply budgets

    Set budgets and alerts so teams see spend pressure before it becomes an operational surprise.

  4. 04
    Use renewal signals

    Combine adoption, reliability, and cost data to decide which teams need support or plan changes.