Athina AI
Collaborative AI development platform for prototyping, evaluating, and monitoring LLM features.
Description
Short Intro: Athina AI is a proprietary AI development platform built by Athina AI, Inc., founded in 2022 by Shiv Sakhuja (CEO, ex-Google, ex-Microsoft), Himanshu Bamoria (IIT Delhi), Akshat Gupta, and Mohit Jandwani through Y Combinator's W23 batch. The platform organizes AI development around a spreadsheet-like interface where engineers and product managers prototype prompts, run evaluations, and monitor production deployments from a single workspace. In November 2024, the company raised a $3M seed round from Y Combinator, Flourish Ventures, and Kleiner Perkins, bringing total funding to $4.1M.
Key Capabilities:
Spreadsheet-like prototyping IDE with dynamic columns for running LLM prompts, code, API calls, and data retrievals
50+ preset evaluation metrics covering hallucination detection, faithfulness, answer relevance, PII detection, toxicity, and bias
No-code custom evaluation builder for teams without Python expertise
Native Ragas integration for RAG pipeline evaluation including context sufficiency metrics
Dataset side-by-side comparison with diff view and simultaneous evaluation runs across multiple datasets
Production monitoring with automatic evaluations running post-inference without adding latency
Self-hosted enterprise deployment for teams with data residency requirements
Python SDK and REST API with a reported 10-minute integration path
Alternative tools
- OpenAI Playground
Browser-based prompt iteration environment for the OpenAI API.
- Galileo AI
Detect hallucinations and agent failures across the full development lifecycle
- LangWatch
Open-source LLMOps platform for observability, evaluation, and agent simulation.
- Adaline
End-to-end prompt management platform covering iteration, evaluation, deployment, and monitoring.
- Maxim AI
End-to-end AI evaluation platform with pre-production agent simulation and production observability
- Lilypad
Tagline: Python-native LLM versioning and tracing via a single decorator.