Sifflet has raised $36.0M in total across 3 funding rounds.
Sifflet's investors include Bessemer Venture Partners, EQT Ventures, Mangrove Capital Partners, Origins, Double Prime LLP, eFounders, John Paul, Gilad Engel, Thibaud Elziere.
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]
Sifflet has raised $36.0M across 3 funding rounds. Most recently, it raised $18.0M Venture Round in June 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2025 | $18.0M Venture Round | Bessemer Venture Partners, EQT Ventures, Mangrove Capital Partners, Origins | |
| Mar 1, 2023 | $13.0M Series A | Bessemer Venture Partners, EQT Ventures, Mangrove Capital Partners, Origins | |
| Oct 1, 2021 | $5.0M Seed | Bessemer Venture Partners, Double Prime LLP, eFounders, EQT Ventures, John Paul, Mangrove Capital Partners, Origins, Gilad Engel, Thibaud Elziere |
