# Croutons

> Enterprise AI inference management layer

Canonical origin: https://croutons.ai

## Primary pages

- [Croutons — Enterprise AI Inference Management Layer](https://croutons.ai/): Platform home for the Croutons AI inference management layer: measure, route, govern, and optimize model calls across agents and workflows.
- [Enterprise AI Inference Management Use Cases](https://croutons.ai/use-cases): Six pillars and twelve truth-gated use cases for enterprise AI inference management, with dedicated pages for flagship topics.
- [Inference Cost Diagnosis](https://croutons.ai/use-cases/inference-cost-optimization): Croutons can evaluate where inference spend concentrates across models, agents, retries, and context size — and recommend routing and workload changes.
- [Cost–Latency–Quality Optimization](https://croutons.ai/use-cases/cost-latency-quality-optimization): Croutons can evaluate trade-offs between cost, latency, and quality so teams stop optimizing one metric in isolation.
- [Model Routing Strategy](https://croutons.ai/use-cases/model-routing): Croutons can evaluate model routing and provider/fallback strategy so task class, risk, and measured quality drive assignment — not ad hoc overrides.
- [Control Agent Fan-Out and Inference Waste](https://croutons.ai/use-cases/agent-fan-out-control): Croutons can evaluate how planners, agents, retries, retrieval, and tool calls amplify inference consumption across a completed task.
- [Agent Reliability Analysis](https://croutons.ai/use-cases/agent-reliability): Croutons can evaluate unreliable agent behavior across context, routing, tools, and failure modes.
- [AI Rollout Risk — Pizza Hut Dragontail Case](https://croutons.ai/use-cases/ai-implementation-risk): Croutons diagnoses workflow breakpoints and rollout risk before AI automation reaches production.
- [Croutons Docs — Crouton Units, Diagnosis Flow & Machine-Readable Files](https://croutons.ai/docs): Documentation for Crouton Units, diagnosis flow, inputs/outputs, implementation paths, and machine-readable files.
- [AI Visibility Layer: Crawl Paths, Schema & LLM Retrieval](https://croutons.ai/ai-visibility): Structure crawl paths, schema, and evidence to improve machine interpretation, retrieval eligibility, and source evaluation.
- [Evidence Briefs: Source-Backed Proof Objects for AI](https://croutons.ai/evidence-briefs): Evidence Briefs: source-backed proof objects for claims used by teams and machines.
- [Privacy Policy](https://croutons.ai/privacy): Privacy policy for croutons.ai website and diagnosis engagements.
- [Terms of Use](https://croutons.ai/terms): Terms of use for the Croutons website and engagements.

## Machine-readable files

- /sitemap.xml
- /llms.txt
- /llms-full.txt
- /context-map.json
- /semantic-index.json
- /robots.txt

## Contact

- Book a diagnosis: https://calendly.com/neuralcommand/30min