The Infrastructure Layer for
LLM Workflows

The all-in-one platform for LLM prompt management, evaluation, and observability - with enterprise-grade reliability, governance, and cost control in one place.

Designed to handle billions of requests Low Routing Latency 99.9% uptime SLA 200+ Edge Locations

Everything you need to scale AI

One platform to route, optimize, and control every AI request your application makes.

AI Cost Optimization

Cut AI spend with an AI-powered model router that analyzes prompt complexity and routes to the optimal model - plus per-token budgets with hard caps and workspace-level visibility.

Git-Native Workflow

Manage prompts like code - branch, merge, version, and A/B test in real git repositories. Every save is a version backed by a commit.

Unified AI Gateway

One OpenAI-compatible endpoint across leading AI providers. An AI-powered model router, three context-compression strategies, AI prompt enhancement, fallback chains, and circuit breakers - no in-house routing layer.

Evaluator-Driven Quality Gates

Score prompts and models with AI judges and deterministic evaluators, compare runs side by side, and gate deployments on regression policies.

Workspace Isolation

Give every team autonomy with their own tokens, prompt repositories, and budgets without losing centralized visibility across organizations and workspaces.

Full Audit Observability

Every API call logged as a request, grouped into traces, and tagged with custom properties - inspect, filter, and export for security reviews.

Less tooling, more shipping

Infere removes the busywork between writing a prompt and putting it in production.

Git-native workflow

Ship prompts like code

Your prompts live in real git repositories. Review, merge, and deploy them the same way you ship software - every change versioned, every release reversible.

  • Roll back any release in one click
  • Review changes in pull requests before they go live
  • Deploy by push - no pipelines to build
Git Dashboard
API Calls
1,651 ↑ 7.1%
Latency
4195ms
Status
Healthy ✓
Deployments
12
vs last week -0
Active Prompts
4
Managed prompts
Repos
2
2 active repos
Keys
7
6 API · 1 SSH
Prompt Status
View All →
Prompt Token Branch Status Deployed
qa-jun30-gate-prompt qa-jun30-gate-token main Live 1m ago
prod-eval-router prod-eval-token main Live 3d ago
staging-classifier stg-class-token dev Staging 5d ago
Clone Repository
infere-repo
infere-docs
git clone https://ik_39079dac:[email protected]/git/infere-repo
agent-trace-quality
✓
Info
2
Evaluator
3
Tier
4
Config
Evaluator Type
Step 2 of 8 - Choose your evaluator use case.
LLM Boolean LLM
True/false judgment
LLM Range LLM
Score 0.0–1.0 on criteria
LLM Categorical LLM
Pick named categories
LLM Comparative LLM
Rank/compare responses
Python Code Code
Execute in sandbox
Text Similarity Deterministic
BLEU, ROUGE, cosine
Heuristic Deterministic
Latency, length, tokens
LastMile AI Integration
LastMile integration
Evaluators & regression gates

Choose an evaluator, catch the regressions

LLM judges, deterministic checks, and sandboxed code - 60+ evaluator types that score every deployment against your quality bar.

  • LLM, code, and deterministic evaluators in one library
  • Regression policies block bad releases automatically
  • Custom judges for your exact quality bar
Token observability & compliance

Know where every token goes

Log requests, responses, and token usage on every call. Set retention, encryption, and audit policies that keep you compliant - and fine-tune what gets tracked.

  • Full request/response logging with token counts
  • Retention, encryption, and audit trails built in
  • Compliance-ready by default - no extra tooling
Advanced Settings
Configure premium features, observability, and capabilities for "Quick Dev Token"
Premium
Monitor
Features
Compliance
Audit
Evaluation
Extended Observability
Configure detailed logging, S3 storage, and data retention
$0.0005/request
Log Requests Store request payloads
Log Responses Store response payloads
Log Token Usage Track token consumption
Log Timing Record latency metrics
How long to keep observability data
Custom S3 bucket for log storage (leave empty for default)
Encryption method for stored logs

Getting Started

From sign-up to your first routed request in minutes.

Create your account

Sign up, add credits, and generate your first API token in minutes.

Connect your app

Point your API calls at the OpenAI-compatible endpoint. No rewrites required.

Route and optimize

Set routing modes, deploy prompts, and watch cost and latency drop.

Frequently asked questions

Everything you need to know before you start.

What is Infere?

An intelligent AI routing and management platform - one OpenAI-compatible API across leading AI providers, with prompt management, AI evaluation, observability, and enterprise controls in a single place.

Will I need to rewrite my code?

No. Point your existing calls at the Infere endpoint - same SDK, same format, no rewrites required.

How does pricing work?

No subscription and no markup. You prepay a balance that never expires, and only pay for the tokens you use.

How does Infere reduce AI costs?

An AI-powered model router selects an efficient model for each request based on complexity, while context compression and per-token budgets keep costs predictable.

Which models can I access?

The latest frontier models from every major provider - auto-routed for the best balance of cost, speed, and quality.

Is my data secure?

Full audit trails, encryption, and workspace isolation on every request. Compliance-ready by default.

Latest from the blog

Guides on observability, evaluation, and prompt management.

Cost Optimization·Sep 7, 2026·1 min

AI Cost Governance for Teams: Budgets, Attribution & Controls

Set spend caps, attribute cost to teams and features, alert on anomalies, and gate new spend through approvals so the AI bill stays governed, not just tracked.

Read more →
AI Gateway·Sep 7, 2026·1 min

Best LLM Gateway Platforms in 2026

How the leading LLM gateway platforms compare for 2026. OpenRouter, LiteLLM, Portkey, Kong, Cloudflare, Vercel, Helicone, and Bedrock, with a comparison table.

Read more →
Cost Optimization·Sep 7, 2026·1 min

Claude Code Cost in 2026: Plans, Real Prices & How to Cut Them

Claude Code starts at $20/mo on Pro and bills per token on the API. See every plan, hidden usage limits, and the levers that keep agentic spend predictable.

Read more →
Visit the Blog →

Ready to simplify your AI infrastructure?

Start routing AI requests through Infere in minutes. No subscription, no markup - your balance never expires.

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