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What is Sawmills?

Sawmills emerges as the leading smart telemetry management platform, enabling organizations to efficiently oversee their logs, metrics, and traces prior to incurring costs associated with traditional observability solutions. Its groundbreaking application of AI for noise detection distinguishes it from competitors, allowing Sawmills to effectively reduce waste, improve data integrity, and implement governance controls. In contrast to traditional filtering techniques and manually developed rules that often struggle with scalability, Sawmills utilizes AI to assess telemetry data in real-time, uncovering noise patterns, duplicate events, low-value attributes, excessive cardinality, PII/policy violations, and faulty schemas. For each identified issue, Sawmills proposes a relevant course of action, including options like filtering, redacting, aggregating, downsampling, normalizing, enriching, and it also possesses the capability to auto-remediate with the requisite approvals, service level agreements, and rollback procedures. This forward-thinking strategy not only pushes oversight upstream but also markedly reduces waste, elevates the quality of data collected, and automates governance, ultimately resulting in more streamlined data management practices throughout various enterprises. Furthermore, by embracing this innovative approach, businesses can unlock new levels of operational efficiency and data-driven decision-making.

What is Arize Phoenix?

Phoenix is an open-source library designed to improve observability for experimentation, evaluation, and troubleshooting. It enables AI engineers and data scientists to quickly visualize information, evaluate performance, pinpoint problems, and export data for further development. Created by Arize AI, the team behind a prominent AI observability platform, along with a committed group of core contributors, Phoenix integrates effortlessly with OpenTelemetry and OpenInference instrumentation. The main package for Phoenix is called arize-phoenix, which includes a variety of helper packages customized for different requirements. Our semantic layer is crafted to incorporate LLM telemetry within OpenTelemetry, enabling the automatic instrumentation of commonly used packages. This versatile library facilitates tracing for AI applications, providing options for both manual instrumentation and seamless integration with platforms like LlamaIndex, Langchain, and OpenAI. LLM tracing offers a detailed overview of the pathways traversed by requests as they move through the various stages or components of an LLM application, ensuring thorough observability. This functionality is vital for refining AI workflows, boosting efficiency, and ultimately elevating overall system performance while empowering teams to make data-driven decisions.

Media

Media

Integrations Supported

Slack
Declarative Webhooks

Integrations Supported

Slack
APIFuzzer
Amazon Bedrock
CoLab
Codestral Mamba
CrewAI
Gemini Enterprise Agent Platform
Guardrails AI
JupyterLab
Mathstral
Ministral 3B
Ministral 8B
Mistral AI
Mistral Small
Mixtral 8x22B
OpenAI
OpenTelemetry
Pixtral Large
Vercel

API Availability

API Availability

Has API

Pricing Information

$0
Pricing is dependent on ingestion. Average customers are ROI positive within months.

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Sawmills.ai

Date Founded

2024

Company Location

United States

Company Website

sawmills.ai

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

Categories and Features

Telemetry

Not specified

Categories and Features

AI Observability

Not specified

LLM Evaluation

Not specified

Semantic Layer

Not specified

Telemetry

Not specified

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