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Models propose Your business decides

Request private accessSee how it works
A matte black architectural portal with a ribbon of light passing through a precise rectangular opening

WHY TEMPERA

What Tempera keeps clear

A model response is only the start

Evidence
Keep sources and context with the proposal
Authority
Set the signal required before work can continue
Record
Keep the proposal, required signal, and result together

Representative starting points

Built for analyst review and later inspection

  • Revenue operationsReview account, contract, and renewal exceptions
  • Finance operationsBring reconciliation context, exceptions, and required authority into view
  • Compliance reviewPrepare source-linked material for later inspection

The platform

The infrastructure behind a reviewable decision

Each surface has a clear job and a private boundary

Private preview

PRICING

Start small, scale deliberately

Choose a private starting point, then expand when the work calls for it.

STARTER KIT

$129per month

Starter Kit

Workflows or a provisioned suite for a small team

  • Choose Workflows or a provisioned suite
  • Reloadable credits in configured private workspaces
  • One founder call each month
  • Self-guided between calls
Request Starter Kit access

Starter access, configuration, and plan changes are arranged directly with Tempera.

ENTERPRISE

Custom pricingcontact us for pricing

Enterprise

A private operating model for consequential work

  • At least one implementation meeting each week
  • Full support for the agreed implementation
  • Staff-configured SAML SSO
  • Negotiated single-tenant or on-premises deployment
Discuss enterprise

Scope, pricing, provisioning, and deployment commitments are set in writing with your team.

Need a different arrangement? Contact us for custom pricing

ABOUT TEMPERA

Built for AI work that has to hold up

Tempera is building the validation layer between model proposals and business consequences.

FOUNDER-LED

Talk with founder Jaden Fix

Bring one decision your team needs to make more dependable.

Book a founder briefingShare context by email