Data Labelers
Product Managers
Data Scientists
Software Engineers
ML Engineers
QA
CXO
Domain Experts
A collaborative IDE designed for test-driven development
Athina helps AI teams experiment with data and build powerful AI applications 10x faster.
Powerful, yet familiar
Work with your data like a spreadsheet
Athina allows you to experiment with your data in a powerful editor that feels like a spreadsheet.
Synthesize
PrototypeDynamic columns to run prompts, execute code, query your vector DB and more.
Experiment
Edit
Evaluate
Export
Give your team superpowers
Powerful AI products are a team effort.
Empower non-technical users to prototype, experiment, and run tests.
Collaborate seamlessly with technical team members to run more complex experiments programmatically.
Compareeverythingside-by-side
Athina is designed to help you compare data manually, as well as programmatically.
Compare modelsCompare the outputs of multiple models side-by-side.
Compare datasetsCompare multiple datasets side-by-side.
Compare promptsCompare the outputs of multiple prompts side-by-side.
Compare retrievalsCompare different retrieval strategies side-by-side.
Run evaluations on a dataset in seconds
Evaluate your model on your entire dataset in just a few clicks with Athina.
Learn MoreRagas Faithfulness
247 failed
Context Relevancy
68 failed
No PII in response
95 failed
No financial figures
190 failed
Prompt Injections
19 failed
Integrates with your code seamlessly
You can use Athina to experiment without writing a single line of code.
...but where's the fun in that?
In just a few lines, Athina datasets can seamlessly integrate with your codebase so you can run experiments, read to and write from Athina datasets programmatically.
import athina
from athina.evals import DoesResponseAnswerQuery, ContextContainsEnoughInformation, Faithfulness
eval_model = "gpt-4o"
eval_suite = [
DoesResponseAnswerQuery(model=eval_model),
Faithfulness(model=eval_model),
ContextContainsEnoughInformation(model=eval_model),
]
# Run the evaluation suite
athina.run(
evals=eval_suite,
data=dataset,
max_parallel_evals=10
)
Experiment without changing your stack
Integrated with the ecosystem tools you already use
Athina works with tools you already use like Langchain, LlamaIndex, Ragas, Guardrails, Azure OpenAI, AWS Bedrock, and more.
Workflows designed for developing LLM apps rapidly
A suite of tools tailored for rapid experimentation, evaluation, and iteration on your AI models.
Compare responses side-by-side
Analyze and compare the outputs of various models easily.
Experiment with prompts & models
Try out different prompts to see how they affect the model’s output.
Test different retrieval strategies
Adjust retrieval settings to fine-tune model performance.
Run batch evaluations in seconds
Evaluate model performance using your custom datasets.
Generate synthetic data
Create synthetic data to augment your training datasets.
Prototype data pipelines rapidly
Quickly build and test data processing pipelines.
Filter and transform data
Easily filter and transform your data for analysis.
Export data or access via code
Export your processed data in various formats.
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)
Since integrating Athina for our LLM calls, our work has significantly improved. Athina enables us to iterate more swiftly on prompts, uncover hidden issues in our data flow, and accelerate model training.
- Maria Gaska (Head of AI, Vetted)
Built for product teams to work faster together
Collaborate with the entire team
Both technical and non-technical members of your team can collaborate across the lifecycle of your AI development process.