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Sifflet builds a cloud-native, AI-augmented data observability platform ensuring data reliability and trustworthiness. The platform provides actionable insights, enabling data teams to move from reactive troubleshooting to proactive management. It offers a business-aware understanding of data health, monitoring quality across the data stack to prevent operational impacts.
Sifflet was founded in 2021 by Salma Bakouk, a former VP in sales and trading at Goldman Sachs and a mathematician. Bakouk’s insight stemmed from her direct experience witnessing how inconsistent data impeded business decision-making. This realization inspired her to create a solution addressing pervasive data challenges.
The platform serves data engineers and consumers, empowering teams to deliver dependable data to business users. Sifflet’s long-term vision is to establish a new standard for data trust, fostering an environment where proactive decision-making is standard. The company aims to redefine how businesses interact with and leverage their data strategically.
Sifflet has raised $54.0M across 4 funding rounds.
Sifflet has raised $54.0M in total across 4 funding rounds.
Sifflet has raised $54.0M in total across 4 funding rounds.
Sifflet's investors include Torsten Kreindl, Carl Svantesson, Mangrove Capital Partners, Bessemer Venture Partners, EQT Ventures, Origins, Capmont Technology, Double Prime LLP, eFounders, John Paul, Gilad Engel, Thibaud Elziere.
Sifflet has raised $54.0M across 4 funding rounds. Most recently, it raised $18.0M Other Equity in June 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 19, 2025 | $18M Venture Round | — | Torsten Kreindl, Carl Svantesson, Mangrove Capital Partners | Announced |
| Jun 1, 2025 | $18M Series U | — | Bessemer Venture Partners, EQT Ventures, Mangrove Capital Partners, Origins, Capmont Technology | Announced |
| Mar 1, 2023 | $13M Series A | EQT Ventures | Bessemer Venture Partners, Mangrove Capital Partners, Origins | Announced |
| Oct 1, 2021 | $5M Seed | — | Bessemer Venture Partners, Double Prime LLP, EFounders, EQT Ventures, John Paul, Mangrove Capital Partners, Origins, Gilad Engel, Thibaud Elziere | Announced |
Sifflet is an AI-native data observability platform that unifies data discovery, cataloging, quality monitoring, lineage tracking, anomaly detection, and predictive analytics to ensure reliable data for decision-making.[1][2][3][6] It serves data leaders, engineers, analysts, and business users across modern data stacks, solving the problem of unreliable data that hinders insights, innovation, and AI-driven strategies by providing end-to-end oversight, AI agents for troubleshooting, and collaboration tools that bridge technical and business teams.[2][3][6] With a focus on business trust, Sifflet reduces data breaks, alert fatigue, and downtime, enabling lean teams to manage complex ecosystems efficiently; recent momentum includes the May 2025 launch of AI agents like Sentinel, Sage, and Forge for smarter monitoring and fixes.[1][3]
Sifflet was founded in 2021 in Paris, France, by a "data-obsessed team" passionate about turning raw data into reliable business intelligence.[1][2][5] The founders, emerging from data engineering and product backgrounds, recognized the growing chaos in data stacks as companies scaled AI and analytics, leading to unreliable insights despite massive data investments.[2][4] Early traction came from building a product-led company where engineering and product teams collaborated closely with customers using cutting-edge tech, quickly iterating on real workflows; this customer-centric approach fueled rapid evolution into an AI-augmented platform, with pivotal advancements like AI agents unveiled in 2025.[3][4][6]
Sifflet rides the explosive growth of data observability in the AI era, where unreliable data undermines 80-90% of AI projects amid surging data volumes from generative AI and real-time analytics.[3] Timing is ideal as enterprises shift from siloed tools (e.g., Monte Carlo's tech focus) to AI-native platforms that democratize trust for business users, fueled by market forces like cloud data explosion, regulatory demands for data accuracy, and the need for cross-functional collaboration in hybrid stacks.[1][2][3] It influences the ecosystem by enabling "data breakthroughs"—smoother stacks, faster decisions, and AI readiness—positioning Paris as a data tech hub while challenging U.S. incumbents with European agility and business-oriented design.[2][6]
Sifflet is poised to capture share in the $10B+ data observability market through AI agent expansions and deeper integrations with AI/ML pipelines, potentially accelerating growth via enterprise wins in finance, retail, and tech.[1][3] Trends like agentic AI, multimodal data, and zero-trust observability will shape its path, evolving it from monitoring to autonomous data management. Its influence may grow by standardizing business-data harmony, cementing its role as the platform where data truly means business—unlocking AI's promise for reliable, high-stakes decisions.[2][6]
