One platform. Every layer of the inference stack.
Routing, caching, evals, observability, governance — engineered together so you don't have to staff six teams to ship one feature.
Policy-aware model routing.
Stop hard-coding model names. Declare what you care about — latency, cost, accuracy, region — and let the router pick per request.
Latency budgets
Set a p95 latency target. Inferly will not select a provider that has breached it in the last 60 seconds.
Cost ceilings
Hard caps per request, per workflow, per team. Spend never exceeds policy, even under load spikes.
Accuracy floors
Reject any model whose eval score on your golden set drops below threshold.
Data residency
Pin requests to EU, US, UK, AU, or on-prem clusters. Audited per call.
Trained reranker
Our routing model improves with every request you send.
A cache that thinks in meaning, not strings.
Embedding-based dedup catches paraphrased prompts your exact-match cache would miss. Typical workloads hit 30–60% in two weeks.
Exact
Sub-millisecond response on identical prompts and parameters.
Semantic
Cosine-similarity match across an embedding index. Tunable threshold per workflow.
Partial
Token-prefix caching for chat continuations. Re-uses prior turns, charges only new tokens.
Continuous evaluation, not vibes.
Define a golden set once. Inferly runs it nightly against every candidate model, charts the drift, and blocks regressions from reaching prod.
| Eval suite | Run on | Score | Δ vs. last week | Status |
|---|---|---|---|---|
| customer-support-v3 | claude-3.5-sonnet | 0.942 | +0.011 | passing |
| customer-support-v3 | gpt-4o | 0.918 | −0.004 | passing |
| code-review-v2 | deepseek-v3 | 0.871 | +0.022 | passing |
| summarize-long | llama-3.3-70b | 0.802 | −0.038 | blocked |
| structured-extract | gpt-4o-mini | 0.965 | +0.003 | passing |
Per-request truth, not aggregate guesses.
Every request emits a structured trace: provider, tokens, latency, retries, cost, eval score. Stream to Datadog, Honeycomb, or your warehouse.
Traces
OpenTelemetry-native. Drop into your existing tracing UI.
Spend
Live cost per team, per workflow, per model. Budget alerts.
Quality
Eval scores trended against deploys and provider changes.
Export
S3, Snowflake, BigQuery, Postgres. Your data, your warehouse.
Compliance built in, not bolted on.
SSO, SCIM, RBAC, allow/deny lists, PII redaction and full audit log — available from day one, not at the Enterprise tier.
Identity
SAML, OIDC, SCIM via WorkOS. Group-based RBAC per workflow.
Data controls
PII redaction pre-flight, region pinning, retention windows per workflow.
Audit log
Every config change and every call, immutable, exportable for SOC 2 audits.
The shortest path from prototype to production AI.
Free tier. OpenAI-compatible. One base URL away.