Infer
Automatic compression from our latest research lowers cost without losing performance. Same model in. Same model out.
Average 30% lower cost on leading AI workloads. Single calls can reach 90%. Best benchmark result: 49%.
Saved for users so far.
Trusted by
Savings
Automatic compression lowers cost by about 30% on average and can cut individual calls by up to 90%, without losing performance.
100% billed path
70% routed token load
Average lower-cost path measured from current production traffic.
Guarantee
The model you request is the model we route. No silent substitutions.
anthropic/claude-sonnet-4.5
anthropic/claude-sonnet-4.5
No silent downgrades. No hidden fallbacks.
Privacy
Prevent confidential information like API keys, internal business metrics, and sensitive identifiers from leaking with automatic masking before egress.
Mask API keys automatically
Redact sensitive business data
Block confidential leakage before egress
Built with real research
The compression layer comes out of real research. It is shaped by academic work and research collaboration, not by reselling traffic or downgrading requests.
Operating model
Research-informed engineering for production traffic.
Policy-first checks before egress.
Billing visibility across teams.
No silent model substitution.
Same model. Lower cost.
Research roots
Savings calculator
Put in your current model bill and see what a 30% average lower-cost path looks like.
Estimated savings
3,000
per month
$10,000
$7,000
30%
