
Acceldata provides a data observability platform designed to enhance insight and reliability in data pipelines, particularly for AI and LLM applications. Their platform offers capabilities such as anomaly detection, data lineage tracking, and pipeline monitoring to identify and resolve data quality issues before they impact AI models. Acceldata's solutions aim to ensure model reliability by flagging data drift and dependency changes. They also provide monitoring for data pipelines and Kafka streams, along with consumer lag analysis. Key products include ADM, ADOC, Pulse (Data Observability for Hadoop), and Open Data Platform. Acceldata is trusted by enterprise data teams and highlights customer testimonials focusing on improved data quality, reliability, and cost savings.

Acceldata provides a data observability platform designed to enhance insight and reliability in data pipelines, particularly for AI and LLM applications. Their platform offers capabilities such as anomaly detection, data lineage tracking, and pipeline monitoring to identify and resolve data quality issues before they impact AI models. Acceldata's solutions aim to ensure model reliability by flagging data drift and dependency changes. They also provide monitoring for data pipelines and Kafka streams, along with consumer lag analysis. Key products include ADM, ADOC, Pulse (Data Observability for Hadoop), and Open Data Platform. Acceldata is trusted by enterprise data teams and highlights customer testimonials focusing on improved data quality, reliability, and cost savings.
Founded: 2017
Headquarters: San Francisco, California
Product: AI/NLP platform for customer feedback and review analysis
Exit: Acquired by Acceldata in 2023
Customer feedback analysis, review analytics, e-commerce insights
2017
AI / Machine Learning; E-commerce software
Seed round listed in June 2019; other disclosed investors include Techstars and SAP.iO
“Investors include Ideaspring Capital, Techstars, and SAP.iO”