data-observability
(8)
Wayne Jin Makes Invisible Software Matter
After Google Cloud, GitHub, AppDynamics, and Grafana, the computer-science graduate has taken on a peculiar marketing assignment: make companies care about the failures they cannot yet see.
Keith Alsheimer Has Spent a Career Making Complexity Behave
Before he sold software for unruly data systems, Keith Alsheimer trained soldiers, patented a visual method for teaching cleaners, and built a procurement company from scratch. The connecting idea is surprisingly consistent: make complicated work clear enough that people can act.
Vasu Sattenapalli Is Turning Data Trust Into a Product
After years inside enterprise data systems, the RightData co-founder arrived at a plain conclusion: a dashboard is only useful when people believe the number. Now he is building the controls that turn corporate data from a hopeful guess into something teams can use.
Maarten Masschelein Is Making Bad Data Someone’s Job
The Soda co-founder has spent his career turning silent data failures into visible, shared work. His method is less about dashboards than about focus, accountability, and giving every data user a seat at the table.
Maayan Salom Keeps Asking the Awkward Question: Can You Trust the Data?
From eighth-grade Football Manager spreadsheets to autonomous data agents, Elementary’s co-founder has built a career around the moment when a number makes you say, ‘This can’t be right.’
Barr Moses
Barr Moses is the co-founder and CEO of Monte Carlo, the company that created the data observability category and built one of the first end-to-end platforms for catching what she named 'data downtime' - the stretches when data is wrong, missing, or simply not trustworthy. A Stanford-trained mathematician and former Israeli Air Force intelligence data unit commander, she went from Bain consulting and a VP role at Gainsight to building a data reliability company valued at $1.6 billion. She co-authored O'Reilly's 'Data Quality Fundamentals' and is one of the most cited voices on why enterprises should treat broken data like broken software.
Manu Bansal
Manu Bansal is co-founder and CEO of Lightup, an AI-powered data quality and observability platform for the enterprise data stack. A Stanford EE PhD and IIT Kanpur alum, he first co-founded Uhana, a machine-learning analytics company for mobile carriers that VMware acquired in 2019. The grind of debugging bad data at Uhana became the seed for Lightup, which now runs hundreds of thousands of daily data-quality checks across petabytes of customer data and is backed by Andreessen Horowitz.
Rohit Choudhary
Rohit Choudhary is the Founder and CEO of Acceldata, the company credited with coining the term 'data observability' and building the world's first enterprise data observability platform. A career data engineer who spent years at InMobi and Hortonworks before striking out on his own in 2018, he has raised over $105 million and built a platform used by Fortune 500 companies to monitor, manage, and ensure reliability of their data pipelines in an era where bad data feeding AI models is no longer just an inconvenience — it's an enterprise liability.