Aporia offers an ML observability platform that assists developers to monitor and improve their models in production. The company is based in Israel and also has an office in California, US.
Aporia’s platform enables users to monitor for data drift, model degradation, bias, and data integrity issues, with live alerts for early issue detection. Moreover, developers can use the platform to visualize their models in production and track key metrics and areas of improvement. It also includes an explainable AI feature to discover which features impact the model predictions the most and why and to understand model predictions.
Moreover, the platform incorporates observability features tailored for GenAI products. This encompasses the capability to monitor hallucinations and moderate chats, in addition to comprehensive cost tracking.
The company operates through a B2B model, offering two subscription plans. It provides a free plan for starters and a tailored pricing structure for ML teams, determined by the project and the number of models in production.
In July 2024, a new benchmark report revealed that Aporia Guardrails outperformed NeMo, GPT-4o, and GPT-3.5 in AI hallucination detection and latency.
Key customers and partnerships
In July 2024, Aporia partnered with Portkey AI to enhance security and reliability of generative AI applications for Portkey's users.
In April 2023, Aporia partnered with AWS to provide ML observability features to AWS customers and with Databricks in May 2023 to offer ML Observability to customers using Databricks' Lakehouse Platform, AI capabilities, and MLflow offerings.
Its notable customers include TechCrunch, Armis, MunichRE, BSH, Sixt, and Lemonade.
Funding and financials
Aporia’s latest funding round was in February 2022, when it raised USD 25 million from a Series A round led by Tiger Global, along with Samsung Next, TLV Partners, and Vertex Ventures. With the new capital, the company was to triple the team’s headcount over 2023 and expand its presence in the US and its range of use cases.
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