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AI data stack

The data layer under AI products: where embeddings live, how models are served and watched, and what feeds them.

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MLflow Tracing

Observability

Open-source LLM and agent tracing inside MLflow: one-line autolog, OpenTelemetry ingest, LLM judges. Free to self-host under Apache 2.0.

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HoneyHive

Observability

LLM and agent observability with OpenTelemetry tracing, online evals, CI regression gates, alerts and annotation queues.

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Agenta

Observability

Open-source LLMOps and agent workspace: prompt versioning, 15+ evaluators and OpenTelemetry tracing, MIT-licensed and self-hostable.

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Datadog LLM Observability

Observability

Datadog's LLM and agent observability: traces model calls and agent steps, runs LLM-judge evals and experiments, bills LLM spans only.

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New Relic AI Monitoring

Observability

LLM and agent monitoring inside New Relic APM: model calls traced as spans beside database and service calls, billed as ordinary ingest.

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Fiddler AI

Observability

Enterprise ML and LLM agent observability with in-environment guardrails, explainability and fairness metrics.

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Free open source; Enterprise self-hosted by quote

Evidently AI

Evals

Open-source Python library for LLM output evals with LLM judges, plus data drift and model quality reports and a self-hostable dashboard.

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Maxim AI

Evals

Agent simulation, evaluation and observability platform that tests multi-turn chat and voice agents with simulated users, evaluators and tracing.

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Laminar

Observability

Open-source observability for AI agents: transcript traces, Signals failure detection, debugger replay and evals, from $30/month.

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Openlayer

Evals

AI testing, tracing and governance platform: 100+ catalog tests in CI and on live traces, guardrails, Gateway, EU AI Act mapping.

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Domino Data Lab

ML platform

Enterprise ML platform for code-first model development, reproducible environments, deployment, monitoring, and configurable governance workflows.

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Free RAG plan; confirm paid rates

Vectorize

Managed RAG

Managed RAG platform for document ingestion, extraction, embeddings, vector-index synchronization and retrieval, with built-in or external vector database options.

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