Control AI costs and secure production pipelines.

Spendplane adds a pre-egress boundary for AI traffic: redaction, routing, and budget policy before requests reach providers.

Product surfaces

An integrated suite that moves AI work from prototype to controlled, observable production.

Point-and-shoot connectivity for all LLM traffic

Put a control layer in front of provider traffic so requests can be reviewed, redacted, and routed before they leave your environment.

Cost-aware routing that swaps models in real time

Use routing logic to steer requests intentionally across providers, models, and cost profiles as usage grows.

Automatic redaction and policy enforcement

Apply policy checks, privacy controls, and pre-egress scanning without turning every workflow into a manual review process.

Price and shape projects before writing code

Model scope, delivery pressure, and operational tradeoffs before the build gets expensive, messy, or unrealistic.

Unified dashboard for budgets, logs, and policy

Give teams and operators one place to observe AI traffic, budget usage, and enforcement events across the stack.

Integrations for IDEs and AI-native workflows

Keep existing developer workflows intact while routing them through Spendplane’s control and visibility layer.