According to a recent LinkedIn post from Hex, the company is focusing on the emerging role of data teams in maintaining and managing analytics agents. The post describes how Chime’s data team built a custom evaluation harness, using an LLM-as-judge to assess agent performance across more than 50 domains, which required significant manual tuning and maintenance.
The company’s LinkedIn post highlights the introduction of an “Evals” capability within Hex, positioned as a way to streamline this evaluation process for other teams. The feature is described as enabling users to measure Hex Agent performance and safely test context changes from the CLI, suggesting a push toward more robust tooling for AI-driven analytics.
For investors, the post suggests Hex is expanding its product functionality to address operational challenges in enterprise AI and analytics workflows. By targeting pain points in how data teams evaluate and manage agents, Hex may enhance its value proposition to larger, AI-forward clients, potentially supporting customer retention and upsell opportunities.
The emphasis on CLI-based evaluation and safe testing could also indicate Hex is aiming at more technical users and complex deployments. This move may strengthen its positioning within the analytics and data tooling ecosystem, where demand is growing for reliable evaluation frameworks as AI agents become more embedded in business decision processes.