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Mon, November 9, 2026 LIVE
• Open now: AHA Scientific Sessions — Chicago, IL • Open now: AHA Scientific Sessions — Chicago, IL • Open now: BDNY - Boutique Design New York — New York, NY • Open now: BDNY - Boutique Design New York — New York, NY • Open now: Cérémonie de Remise des Diplômes de L'ithq — Montreal, Quebec, Canada • Open now: Choose Your Own Health Adventure with Snowflake — Dallas • Upcoming: 2026 Queensland Disaster Management Research Forum — Brisbane, Queensland, Australia • Upcoming: 2026 Queensland Disaster Management Research Forum — Brisbane, Queensland, Australia • Upcoming: Adhesives & Bonding Expo Europe — Stuttgart, Germany • Upcoming: Adhesives & Bonding Expo Europe — Stuttgart, Baden-Württemberg, Germany • Upcoming: American Film Market — Los Angeles • Upcoming: Anaheim Electronics & Manufacturing Show - AEMS — Anaheim, CA • Upcoming: Anaheim Electronics & Manufacturing Show - AEMS — Anaheim, CA • Upcoming: Art Tour | Seattle Convention Center Summit Building — Seattle, WA • Upcoming: Art Tour | Seattle Convention Center Summit Building — Seattle, WA • Upcoming: Automechanika Dubai — Dubai, United Arab Emirates • Upcoming: Automechanika Dubai — Dubai, United Arab Emirates • Upcoming: Beauty Ingredients & Formulation Asia (Bifa) — Hong Kong • Upcoming: Beauty Ingredients & Formulation Asia (Bifa) — Hong Kong • Upcoming: BIG FORUM HYBRID MEETING: Undocumented Populations and Access to Healthcare — Washington, DC
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Sifflet SAS

United States
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About

Sifflet is the control plane for Data and AI. Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them. Teams like BBC, Saint-Gobain, Euronext, and CMA-CGM use Sifflet to run reliable data infrastructure at enterprise scale.

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