Athina AI

Athina AI is a collaborative AI development platform designed for teams to build, test, evaluate, and monitor AI features at scale. It enables non-technical and technical users to collaborate on experiments, manage prompts and evaluation flows, and monitor production AI with rich observability. The platform emphasizes flexible collaboration, dataset evaluation, and end-to-end prompt/flow management, with options for both cloud and self-hosted deployments.

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Overview

• Supports building, testing, evaluating, and monitoring AI prompts, flows, and datasets across models (including custom models).
• Combines code-optional UI workflows with programmatic access for engineers, enabling rapid iteration and deployment.
• Provides cross-role collaboration among Data Scientists, Product Managers, QA teams, and Engineers.
• Offers evaluation suites, dataset management, prompt versioning, and end-to-end monitoring and tracing for AI systems.

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Key Capabilities

• Evaluate datasets using 50+ preset evaluations or configure custom evaluations
• Re-generate datasets by tweaking model, prompt, or retriever with a few clicks
• Prototype powerful prompt and flow chains and run them programmatically
• End-to-end collaboration across your team with role-based access and governance
• GraphQL API and SDKs for programmatic control
• Observability for AI: online evaluations, tracing, and analytics tailored for LLM workflows
• Self-hosted deployments available with SOC-2 Type 2 compliance

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How It Works

• Create and manage prompts, prompts variants, and prompt runs
• Build evaluation pipelines (eval suites) that test model outputs against criteria such as correctness, faithfulness, context sufficiency, and more
• Manage datasets (queries and expected responses), compare datasets side-by-side, and annotate results with human QA inputs
• Run prompts, flows, and evaluations via UI or programmatically through code
• Monitor production AI with tracing, analytics, and cost/latency metrics, while maintaining data privacy and access controls

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Target Users

• Data Scientists: Compare datasets, run evaluations, and iterate model/prompts with SQL-powered dataset interactions
• Product Managers: No-code AI engineering to build complex AI flows and monitor performance
• QA Teams: Leverage human QA to validate nuanced results alongside automated evals
• Engineers: Access everything via code, run prompts/flows/evaluations programmatically, and integrate into CI/CD

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Pricing & Deployment

• Flexible pricing for teams of all sizes; options include Starter (free tier), Pro, and Enterprise
• Self-hosted deployment available with SOC-2 Type 2 compliance for data privacy and control

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Core Features

• Collaborative AI development platform for teams
• No-code UI for building and evaluating AI prompts, flows, and datasets
• Programmatic access via API/SDKs and GraphQL API
• 50+ preset evaluations and support for custom evaluations
• Dataset generation and variant prompting with quick re-generation
• Prompt, flow, and evaluation orchestration with versioning
• End-to-end observability: AI traces, online evals, and analytics tailored for LLMs
• Role-based access control and governance for multi-team environments
• Self-hosted deployment option with SOC-2 Type 2 compliance
• Integrated sample deployments and real-world success stories from leading teams

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Quick Start (High-Level)

1. Set up your Athina API key and connect your data/models.
2. Create prompts and prompt variants for your use case.
3. Build evaluation suites using preset evaluators or custom rules.
4. Upload or connect datasets; run evaluations and review results.
5. Iterate on prompts/flows and monitor performance in production with traces and analytics.

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Safety & Compliance (General)

• Data privacy controls and self-hosted options help meet organizational security requirements.
• Supports governance and access controls to manage who can view/edit prompts, evaluations, and datasets.

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What reviewers say

• Real-world teams highlight Athina as a flexible, fast path to prototyping and monitoring AI workflows, with strong observability and easy collaboration across roles.