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What is Gantry?

Develop a thorough insight into the effectiveness of your model by documenting both the inputs and outputs, while also enriching them with pertinent metadata and insights from users. This methodology enables a genuine evaluation of your model's performance and helps to uncover areas for improvement. Be vigilant for mistakes and identify segments of users or situations that may not be performing as expected and could benefit from your attention. The most successful models utilize data created by users; thus, it is important to systematically gather instances that are unusual or underperforming to facilitate model improvement through retraining. Instead of manually reviewing numerous outputs after modifying your prompts or models, implement a programmatic approach to evaluate your applications that are driven by LLMs. By monitoring new releases in real-time, you can quickly identify and rectify performance challenges while easily updating the version of your application that users are interacting with. Link your self-hosted or third-party models with your existing data repositories for smooth integration. Our serverless streaming data flow engine is designed for efficiency and scalability, allowing you to manage enterprise-level data with ease. Additionally, Gantry conforms to SOC-2 standards and includes advanced enterprise-grade authentication measures to guarantee the protection and integrity of data. This commitment to compliance and security not only fosters user trust but also enhances overall performance, creating a reliable environment for ongoing development. Emphasizing continuous improvement and user feedback will further enrich the model's evolution and effectiveness.

What is Athina AI?

Athina serves as a collaborative environment tailored for AI development, allowing teams to effectively design, assess, and manage their AI applications. It offers a comprehensive suite of features, including tools for prompt management, evaluation, dataset handling, and observability, all designed to support the creation of reliable AI systems. The platform facilitates the integration of various models and services, including personalized solutions, while emphasizing data privacy with robust access controls and self-hosting options. In addition, Athina complies with SOC-2 Type 2 standards, providing a secure framework for AI development endeavors. With its user-friendly interface, the platform enhances cooperation between technical and non-technical team members, thus accelerating the deployment of AI functionalities. Furthermore, Athina's adaptability positions it as an essential tool for teams aiming to fully leverage the capabilities of artificial intelligence in their projects. By streamlining workflows and ensuring security, Athina empowers organizations to innovate and excel in the rapidly evolving AI landscape.

Media

Media

Integrations Supported

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)
Claude
Cohere
Gemini Enterprise Agent Platform
Google Cloud Platform
Guardrails AI
Llama
Llama 3.3
Microsoft Azure
Mistral 7B
Mistral AI
Mistral Large
OpenAI
Python
Ragas

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Gantry

Date Founded

2020

Company Location

United States

Company Website

www.gantry.io

Company Facts

Organization Name

Athina AI

Date Founded

2022

Company Location

United States

Company Website

athina.ai/

Categories and Features

AI Development

Not specified

AI Observability

Not specified

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Development

Not specified

AI Inference

Not specified

AI Observability

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

IDE

Not specified

LLM Evaluation

Not specified

Prompt Management

Not specified

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