Pantomath on a Mission To Enhance End-To-End Data Pipeline Observability Across Complex Data Ecosystems

In our data-intensive business world, organizations are striving to use new and innovative methods to derive valuable and actionable insights from the data. Unfortunately, data quality issues are a major challenge and resolving this issue can be a manual and time-consuming process. Pantomath, a data pipeline observability and traceability platform, is on a mission to enhance end-to-end data pipeline observability across complex data ecosystems. The Pantomath platform helps automate data operations by continuously monitoring datasets and providing context to complex data pipelines. 

Founded in March 2022, Pantomath is an Ohio-based company, with a vision to enable a data-driven culture and increase trust in data through data pipeline observability. The Pantomath platform has the ability to create automated cross-platform technical pipeline lineage to allow businesses to identify the root cause and understand the impact of data. 

Since its launch, Pantomath has experienced rapid growth. The company serves several customers including CNG Holdings, Paycor, G&J Pepsi-Cola Bottlers, Coterie Insurance, and Lendly. The impact of the Pantomath platform has allowed it to reduce data reliability issues and adopt a data-driven culture where data users are comfortable in trusting their data. 

In the last 16 months, the company has raised $18 million. This includes a $14 million Series A funding in early September this year led by Silicon Valley-based Sierra Ventures. That funding included investors Epic Ventures and Bowery Capital. The new funding is allocated to innovating through AI and expanding to new territories. 

The founder of the Pantomath, Somesh Saxena, who previously served as the Data and Analytics leader at GE Aerospace. He led all the data management programs at GE and his experience in building and managing data flow gave him unique insights into data problems. 

According to Saxena, whether this is a job-related operation incident or a data quality program, Pantomath’s ML-driven platforms allow customers to identify data reliability issues through real-time alerts, aggregated logs, and cross-platform technical lineage to identify root-cause instantly and resolve the issue with automated impact analysis. 

Sierra Ventures, an early-stage venture firm with over $2 billion AUM, is one of the major investors in Pantomath. Mark Fernandes, Manager Partner at Sierra Ventures shared his views on Pantomath’s potential and Saxena’s outstanding leadership, “We believe that Somesh’s experience leading Data and Analytics at a large enterprise has given him unique insights into the data operations challenges facing most companies today. We have been impressed with Pantomath’s ability to meet the needs of some of the most demanding F500 customers in a very short period of time.”

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Implementing Pantomath is made simple through a wide range of connectors that work with the most popular data tools on the market. The data tools can seamlessly integrate with complex data stacks to provide autonomous pipeline lineage. ML frameworks and preconfigured monitors are available to expedite the process and deliver immediate value to customers. 

The Pantomath platform includes an Operation Center that offers a united view of all data pipelines across the data stack. It also offers real-time time alerts on operational incidents that can be set up through different notification channels. In addition, the platform users can search across the entire data ecosystem, including metadata and operational details.

There has been increasing concern about data quality as a major challenge for AI models. A recent report by Twilio highlighted the importance of data quality for unleashing the transformative force of AI. As companies strive to be more data-driven, data quality is becoming more crucial than ever, and platforms such as Pantomath can play a key role in enabling companies to make informed business decisions. 

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