Acceldata Agentic Data Management (xLake)

Acceldata was founded in 2018 and is headquartered in Campbell, California, with offices in Bangalore, Kitchener (Canada) and Singapore. It started in data observability, helping large enterprises see whether their data pipelines, data quality and data platforms such as Hadoop, Snowflake and Databricks are reliable and cost-efficient.

Its xLake platform now combines data and AI observability with Agentic Data Management: AI agents for data quality, profiling, anomaly detection, lineage, reconciliation, cataloguing (xGovern), pipelines and incident management run on the xLake Reasoning Engine, which processes data where it lives across hyperscalers, data clouds and on-premise clusters. A Business Notebook lets users work with data in natural language and Agent Studio lets teams build their own agents. Acceldata says it works with 6 of the top 12 banks and 3 of the top 5 telcos; PhonePe is a published case study.

• Data observability: Data quality policies, reconciliation, anomaly detection, profiling and alerts.
• Agentic Data Management: Agents for data quality, pipelines, catalog, lineage, reconciliation and incidents.
• xLake Reasoning Engine: Processes data in place across hyperscalers, data clouds and on-premise systems.
• AI observability: Agent and LLM tracing, evaluations, guardrails and production monitoring.
• Hadoop observability: Cluster visibility, YARN optimisation and cost visibility for on-premise big data.
• Business Notebook and Agent Studio: Natural-language data work and custom multi-agent workflows via API.

A Vietnamese telco can monitor its on-premise Hadoop and Spark clusters for failures and cost hotspots. A bank can automate reconciliation and data quality checks between core banking and its data warehouse before regulatory reporting. A payments company can track pipeline incidents and data drift that affect fraud models.

AI agents detect and help fix data quality, pipeline and drift issues with or without a human in the loop, reducing manual data operations work. Running in cloud, on-premise, hybrid or Kubernetes environments suits banks and telcos that still operate Hadoop clusters. In the PhonePe case study, the vendor reports 99.97% availability across a 1,500-node Hadoop estate and a 65% cut in data warehouse costs. A Singapore office supports customers in Southeast Asia.

Enterprises are shifting from dashboards that only report data problems to agents that diagnose and fix them, as AI raises the cost of unreliable data. Many banks and telcos in Southeast Asia still run large on-premise Hadoop and hybrid data estates, creating demand for observability tools that work across both legacy and cloud platforms.

Founded in 2018 and headquartered at 1999 S. Bascom Avenue, Campbell, California, with offices in Bangalore (Acceldata Technology Pvt Ltd), Kitchener and Singapore (160 Robinson Road). Investors include Insight Partners, March Capital, Lightspeed, Industry Ventures, Sorenson Ventures, Sanabil and Emergent Ventures. The vendor reports ISO and SOC certifications.