Highlights:

  • Pantomath’s platform makes it easy for businesses to identify issues with bad-quality data.
  • With Pantomath‘s Series A funding, Pantomath intends to expand in the data observability industry, which has become extremely competitive.

Pantomath Inc., a startup in data observability, recently announced that a USD 14 million Series A round of funding was completed in September.

Early backers Bowery Capital and Epic Ventures of Pantomath also participated in the round, which Silicon Valley-based Sierra Ventures led. Since its debut only 16 months ago, the startup has raised USD 18 million in funding.

Pantomath’s platform makes it easy for businesses to identify issues with bad-quality data. That’s important because businesses today want to be more data-driven and base strategic decisions on information, so their data must be high-quality. But a lot of companies are still having trouble with bad-quality data.

This is what Pantomath wants to change with its platform that sends alerts to companies when there are problems with bad data. It aids in troubleshooting issues by utilizing logs and autonomous impact analysis to identify and address the root cause effectively. As a result, Pantomath asserts that it can help organizations place more trust in the data it offers.

Somesh Saxena, who has extensive knowledge of data quality, founded Pantomath. Before founding the company, he led a data and analytics team at GE Aerospace, supporting over 18,000 data consumers. During his tenure there, Saxena stated, he led numerous initiatives, such as big data, enterprise data and analytics, self-service data, and robotic process automation. As such, he has a great deal of experience with the issues faced by data teams.

Saxena stated, “Our AI-driven platform allows customers to detect data reliability issues through real-time alerts, troubleshoot them with end-to-end cross-platform technical lineage and aggregated logs, identify root-cause instantly, and resolve issues quickly with automated impact analysis.”

With its Series A funding, Pantomath intends to expand in the data observability industry, which has become extremely competitive. It will compete with a number of startups that have raised significantly more capital, including Monte Carlo Inc., which was valued at USD 1.6 billion after completing a USD 135 million funding round last year. Additionally, Observe Inc. recently raised USD 50 million, and Acceldata Inc. secured USD 50 million in February. Despite raising less capital, Manta Software Inc. is another well-funded competitor, while Metaplane and Revefi Inc. are rivals.

Given the number of competitors it faces, Pantomath must offer something distinctive. Saxena stated that its broader scope is its distinguishing feature. These rival tools, he explained, are only concerned with data quality monitoring factors such as volume and freshness.

Pantomath goes further, he said, by continuously monitoring the entire data pipeline, jobs and datasets included. He claimed that this adds more context and enables Pantomath to quickly identify the type of any issue it finds.

It’s a debate that appears to have gained Pantomath some supporters. According to the startup, among its many enterprise clients are Coterie Applications Inc., Paycor Inc., and Lendly LLC.

According to Paycor Chief Information Officer Rick Huff, Pantomath was chosen by the company because of its capacity to automatically identify data assets and instantly visualize the relationships between them in real-time. He said, “Pantomath provides end-to-end traceability, which enables our teams to focus on building new solutions instead of getting mired down in operational tasks. We believe Pantomath will enable significant productivity savings while ensuring our data is reliable and trustworthy.”

Pantomath said it wants to improve its data observability tools even more by using AI to develop new ideas. It also seeks to expand into new markets.

Mark Fernandes, Managing Partner at Sierra Ventures, said, “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.”