According to a recent LinkedIn post from Hex, the company is highlighting a customer use case in which Modal’s Head of Data connected Snowflake and ClickHouse within Hex’s platform. The post suggests that this setup enabled cross-functional stakeholders, including marketing and growth leaders, to self-serve analytics and access “trusted AI” capabilities.
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The LinkedIn content cites reported outcomes such as more than $100 million in opened pipeline, increased conversational analytics with 1,300 agent messages, and a 75% reduction in development time. It also notes that 53% of all “Threads” use originated from a Slack integration, implying deeper workflow embedding that could support Hex’s value proposition and pricing power, although the figures are customer-reported and not audited financial metrics.
For investors, the post points to growing traction for Hex in AI-enabled self-serve analytics and in data-stack consolidation around tools like Snowflake and ClickHouse. If such case studies are representative and scalable across the customer base, they could translate into stronger enterprise adoption, higher net retention, and an improved competitive position in the data and analytics software market.