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Your AI needs

Monitor your LLMs in production, and detect and fix hallucinations.
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App Screenshot

TRUSTED BY
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Athina is an indispensable tool for any company deploying LLMs in production
- Michael Brady (CEO, RightPage)
Athina has been tremendous for accelerating our engineering team. It has become an essential tool for how we evaluate and iterate.
- Adam Proschek (CTO, OfOne)
Monitor
⟶
Debug
⟶
Analyze
⟶
Improve

Helping discover and fix hallucinations, accuracy and quality related errors with LLM outputs seamlessly.


  • Detect hallucinations and mistakes
    Evaluate your outputs for hallucinations, misinformation, quality issues and other bad outputs. Configurable for any LLM use case.
  • Monitor your usage
    Segment your data to analyze your cost, accuracy, response times, model usage, feedback in depth
  • Debug your LLM outputs
    Search, sort and filter through your inference calls, and trace through your queries, retrievals, prompts, responses, and feedback metrics to debug generations.
  • Conversational insights
    Explore your conversations, understand what your users are talking about and how they feel, and learn which conversations ended badly
  • Experiment and compare performance
    Compare your performance metrics across different models and prompts. Our insights will help you find the best performing model for every use case
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Detect Bad Outputs

Evaluators that work to analyse your outputs better

Our evaluators use your data, configurations, and feedback to get better and analyse the outputs better


  • Bad Retrieval
  • Harmful / toxic language
  • Summarization accuracy
  • Language mismatch
  • Restricted topics
  • Biased response
  • Unfaithful response
  • Irrelevant answer
User Query
Which spaceship was first to land on the moon?
Retrieved Context
Neil Armstrong was the first astronaut to land on the moon in 1969.
Prompt Sent
You are an expert with knowledge about...
Prompt Response
Neil Armstrong was the first spaceship to land on the moon in 1969.
Insufficient Context
The retrieved context doesn’t contain information about the name of the spaceship.
Potential Hallucinations
33
+14% since last week

Integrate in 5 mins

Set up monitoring and start running evaluations today. View the complete docs ⟶

Observe
Evals

from athina_logger.api_key import AthinaApiKey
from athina_logger.athina_meta import AthinaMeta
from athina_logger.openai_wrapper import openai
 
# Initialize the Athina API key somewhere in your code
AthinaApiKey.set_api_key(os.getenv('ATHINA_API_KEY'))

# Use openai.ChatCompletion just as you would normally
# 🎉 Inferences made using openai.ChatCompletion will now be logged automatically.
# 
# Next, add the relevant metadata to tag your inferences correctly.
openai.ChatCompletion.create(
    model="gpt-4",
    messages=messages,
    stream=False,
)

Solutions

We find the insights for you, at any scale

Self-hosted solution

All the evals, hosted on your infrastructure. Complete privacy and control.

Cloud solution

All the evals, hosted on our infrastructure. We take care of everything.

LLM Agnostic

Use any LLM you want. Athina works with all of them.

Langchain support

2 lines of code to get started logging inferences if you are using langchain.

Cost optimizations

Powerful options to manage your costs.

Multiple app support

For companies working on multiple applications

Multiple user support

For teams to collaborate

Customized Evals for Your App

We work with you to configure the best evals for the nuances of your specific use case.

Pricing

Start evaluating your LLM outputs for free today, scale as your grow tomorrow


Starter

$0/mo

  • Up to 10k inferences
  • Analytics & Insights
Contact Us
Monitor

Custom

  • Everything in Starter
  • Multiple Team Seats
  • Topic Classification
  • Prompt Management
Contact Us
Evaluate

Custom

  • Everything in Monitor
  • Automatic Evals
  • Personalized Support
Contact Us
Enterprise

Custom

  • Custom Eval Suite
  • Fine Tuning
  • SOC-2 Compliance
  • Self-Hosted Deployment
Contact Us

About Us

Athina AI