Sifflet says insurers must shift to continuous data governance
Regulators now demand auditable proof of data quality, lineage, and incidents across all regulated outputs.
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Control plane for data and AI
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In short: Sifflet enhanced its AI-native data observability platform with new agentic features, secured $18M in funding, and expanded its global presence.
Regulators now demand auditable proof of data quality, lineage, and incidents across all regulated outputs.
Reusable alerting configurations route monitor failures across assets to destinations like Slack or email. Rules apply automatically to matching monitors, with overrides possible. Incidents create automatically.
The feature aggregates incidents for Data Products into a single list, enabling owners to track health without manual reconciliation. It supports filtering, sorting, and real-time updates.
Data teams can self-serve test the business-aware data observability platform with real or dummy data, up to 100 monitors and 10 integrations. No sales call required.
According to a recent LinkedIn post from Sifflet, the data observability company has received 28 badges in G2’s Spring 2026 reports, including designations such as...
A recent LinkedIn post from Sifflet highlights investor-relevant themes from a webinar replay focused on the future of data infrastructure and observability. The po...
The agentic system is fully embedded in Sifflet's AI-native platform and will soon be available to select customers in private beta. It...
Sifflet, the AI-native data observability platform, has raised $18M in funding as a result of its strong momentum. Enterprises across Europe and North America are...
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