Sifflet, the AI-Native Data Observability Startup, has secured fresh funding of $18 million. The round was led by existing backer EQT ventures and mangrove capital partners, with Capmont Technology taking part as a new investor.
Money comes right after a gush of big growth. Over the past year, Sifflet has tripled both its revenue and customer base. Its platform has gained traction in Europe and North America as companies rush to clean up their data stacks before they throw AI into the mix. The pitch of the Sifflet is simple. If your data is corrupted, your AI will also be corrupted.
Founded in 2021, Sifflet officially launched its product in 2023. What sets the platform apart is its hybrid focus. We are considering data issues from a technical and business perspective. It seems to be working. Celebrities such as St-Gobain, Penguin Random House, and EuroNext have signed on.
With $18 million in new funding, Sifflet trips growth and targets AI-driven companies
Sifflet will use new $18 million in funding to accelerate growth and speed up the development of new product features, particularly in North America, where demand is rising.
As more companies leaned ahead towards data and AI, the real challenge is not just building models, but trusting the data behind it. That’s where Sifflet comes in.
Over the past year, Sifflet has seen strong traction, tripling both customer numbers and revenue. New clients such as St-Gobain, Penguin Random House and EuroNext have joined the roster, signaling the wider industry’s trust in the platform.
Gartner expects that half of all companies will adopt data observability tools by 2026, but Sifflet is already ahead of that curve. The company’s approach is not just flagging technical issues. Treat data quality as a concern for both business and engineering. More teams are beginning to realize they can’t afford to ignore them.
Pete Williams, Chief Data Officer at Penguin Random House, said: “Sifflet has become an important part of how data is reliable not only in engineering, but across the business: the ability to combine technical depth with actual usability.
Sifflet CEO and co-founder Salma Bakouk believes the market is finally catching up to what they’ve been saying all along. Data quality is not just an engineering issue, it is a company-wide issue. “At Sifflet, we have always believed that data quality is a technical and organizational challenge, and the market is now affirming that belief. With this new capital, we are doubleping product innovation, AI-native capabilities, and North America’s expansion, helping businesses to largely unlock trustworthy, actionable data,” she said.
Investors are clearly on sale. “It was a gamble to support a company in the past, and I’m sure I’ll support a company three times,” said Yannick Oswald of Mangrove Capital Partners. “What Sifflet has achieved over the past year – tripling its customer base and revenue is extraordinary. Our teams are not only creating new products, but also defining new standards for how data-driven companies operate.”
To support the next phase, the company added two experienced recruits: Rémi Bastien (Ex-Contentsquare) leads global operations, while Romain Doutriaux (Expigment) increases pipeline generation.
Torsten Kreindl of Capmont said his company was drawn in by the clarity of the company’s focus. “Sifflet quickly stood out. It’s a keen team that solves complex, corporate critical problems in both speed and accuracy. As AI adoptions accelerate, the need for reliable and usable data becomes unnegotiable.
Carl Svantesson of EQT Ventures added: “We’ve seen Sifflet grow from an attractive vision to a platform that sets new standards for data observability. The team’s ability to combine deep technological innovation with commercial traction is impressive, especially as it expands to North America.
Going forward, Sifflet plans to deploy a new data observability agent this fall. This is an important milestone in the company’s roadmap.
The startup relies on data to work with customers such as Carrefour, CMA-CGM, BPCE, NextBite, Shopback, and Adapavist to drive business decisions. With more companies rushing to implement AI tools, Sifflet wants to be a safety net to prevent these tools from running on garbage data.
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