Bad data costs the global economy an estimated $3 trillion every year. That’s more than the GDP of France. And as companies rush to embed generative AI into customer service, product recommendations, forecasting, and pricing, the risk of making decisions on flawed data is rising fast.
Sifflet, a startup based in New York, has raised $18 million to address that problem. Its AI-native data observability platform is designed to ensure the reliability of data pipelines before they cause real damage. Founded in 2021 and launched in 2023, Sifflet has since tripled both its customer base and its revenue. Its clients now include Penguin Random House, Euronext, and Saint-Gobain.
Pete Williams, Chief Data Officer at Penguin Random House, says the company uses Sifflet “to ensure data reliab
Sifflet Lands $18M to Expand AI-First Observability
- By Mukundan Sivaraj
- Published on
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