Distributional

Distributional is a Data & Analytics tool that helps enterprise AI product teams understand and improve their AI products. It turns raw trace data into actionable insights by analyzing production AI logs.

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At a glance

Pricing

Free · Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Distributional?

Distributional is an analytics platform designed for production AI products, enabling enterprise AI product teams to continuously improve their agents. It addresses the broken agent feedback loop by providing deep visibility into evolving production usage, moving beyond aggregate statistics to uncover behavioral signals. The platform enriches production logs with statistical and LLM-as-judge metrics, then applies continuous adaptive unsupervised analysis, including clustering, topic modeling, and anomaly detection. Users can investigate these insights with context from production data and track signals over time with codified metrics. Distributional is free, open, and deployable to a VPC, with options for local or Kubernetes installation, and offers flexible integrations via OTEL, SQL, or SDK.

Best used for

Ideal for enterprise AI product teams who need to understand how their AI products are performing in production, identify hidden behavioral signals, and continuously improve agent performance. Especially valuable for those seeking to move beyond aggregate statistics and gain deep, contextual insights from production logs.

Common actions

analyze AI product behavior

monitor AI agent performance

uncover behavioral insights

improve AI product quality

track AI product signals

research

Capabilities

Key features

Analyze behavioral signals
Investigate insights with context
Track signals over time
Enrich production logs
Unsupervised analysis
Flexible integrations
Deploy to VPC

Target Audience

data scientist

Integrations

otelsqlsdk

Pricing & Plans

Free · Open Source

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FAQs

What kind of analysis does Distributional perform on production AI logs?

Distributional performs continuous adaptive unsupervised analysis on enriched production AI logs. This includes high-dimensional clustering, topic modeling, anomaly detection, and change detection to uncover hidden behavioral signals and insights.

How can Distributional be deployed?

Distributional is a free and open platform that can be deployed to your VPC of choice. It offers options for installation locally or in a scalable Kubernetes cluster, providing flexibility for various enterprise environments.

What types of data can be ingested into Distributional?

Distributional offers flexible integrations to ingest logs from various sources. You can bring your data via OTEL, SQL, or their SDK, allowing you to use your existing data infrastructure.

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