Aimon Labs
About Aimon Labs
AIMon is a full-cycle LLM app accuracy platform that provides real-time hallucination detection and remediation, ensuring adherence to user instructions and improving context quality. By optimizing LLM outputs through continuous monitoring and evaluation, AIMon addresses issues of hallucination, conciseness, and completeness across various model providers.
<problem> Large language model (LLM) applications often suffer from inaccuracies, including hallucinations, instruction deviations, and incomplete information, which negatively impact user experience and safety. Current methods for detecting these issues are often slow, expensive, and lack the accuracy needed for reliable deployment. </problem> <solution> AIMon provides a full-cycle LLM application accuracy platform that enables real-time hallucination detection and remediation, ensuring adherence to user instructions and improving context quality. The platform offers continuous monitoring and evaluation to optimize LLM outputs across various model providers. By identifying and addressing issues such as hallucinations, conciseness, and completeness, AIMon helps developers build more deterministic and reliable LLM applications. The platform can be deployed on-premise or hosted in the cloud, and it integrates seamlessly with any model provider or framework. </solution> <features> - Hallucination Detection Model (HDM-2) identifies sentence and passage-level hallucinations with GPT-4 level accuracy at a fraction of the cost and latency. - Instruction Adherence model checks if LLMs deviate from instructions with over 87% accuracy. - Context Quality detector identifies context issues to troubleshoot and fix root causes of LLM hallucinations. - Detectors for conciseness, completeness and toxicity. - Unified API for evaluating LLM apps and testing the impact of different datasets, vector DBs, or LLM models on key metrics. - SDKs in Python and Typescript for real-time or asynchronous instrumentation. - Continuous monitoring capabilities to track LLM app performance in production. </features> <target_audience> AIMon is designed for LLM application builders, ML engineers, researchers, and front-end or back-end engineers focused on increasing the accuracy and quality of their RAG retrieval and LLM outputs. </target_audience> <revenue_model> AIMon offers a tiered pricing model, starting with a free plan that includes 1 million tokens for detection, followed by a pay-as-you-go model at $0.49 per 1 million tokens. Enterprise plans with adaptable detectors, on-premise deployments, and enhanced support are also available. </revenue_model>
What does Aimon Labs do?
AIMon is a full-cycle LLM app accuracy platform that provides real-time hallucination detection and remediation, ensuring adherence to user instructions and improving context quality. By optimizing LLM outputs through continuous monitoring and evaluation, AIMon addresses issues of hallucination, conciseness, and completeness across various model providers.
Where is Aimon Labs located?
Aimon Labs is based in United States.
When was Aimon Labs founded?
Aimon Labs was founded in 2023.
How much funding has Aimon Labs raised?
Aimon Labs has raised 2300000.
Who founded Aimon Labs?
Aimon Labs was founded by Jagdish Sahasrabudhe.
- Jagdish Sahasrabudhe - Founder
- Location
- United States
- Founded
- 2023
- Funding
- 2300000
- Employees
- 6 employees
- Major Investors
- Tidal Ventures, Bessemer Venture Partners