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Explore how Anthropic Claude + AWS help pharmaceutical companies leverage AI for enhanced data insights and revenue growth.

See how we can use these two new products—Snorkel Evaluate and Expert Data-as-a-Service–to evaluate and develop a specialized agentic AI system for an enterprise use case

Announcing two new products on our AI Data Development Platform that together create a complete solution for enterprises to specialize AI systems with expert data at scale.

Challenge Experian’s customer support team used to require agents to manually find and customize templates to respond to common questions. Leadership recognized an opportunity to improve response times and customer experience by using an LLM system to automatically handle a significant portion of support emails—enabling human agents to focus on more complex requests. Solution Experian deployed an Agentic AI solution…

Enterprises facing aggressive revenue targets without more headcount are turning to agentic AI innovator Rox.  Rox is redefining the revenue stack with it’s AI-powered sales productivity platform, starting with the Rox sales agent swarm which provides agents that can perform at the level of top sales reps. Rox is redefining the revenue stack with our AI-powered sales platform. Off-the-shelf models…

Our client values customer satisfaction as a core business goal, but their ability to track it with their virtual assistant was limited. The company typically tried to collect experience ratings at the end of interactions. Customers answered these surveys infrequently—and typically when dissatisfied—making the data unreliable in its raw form. Furthermore, manually labeling interactions to analyze satisfaction trends presented slow…

In this webinar, learn how leading AI teams use Snorkel GenAI evaluation to accelerate the process by combining programmatic evaluation with SME-in-the-loop workflows, identify where and why failures occur within your business context, and establish reliability and trust through validation.

Discover how enterprises can leverage LLM-as-Judge systems to evaluate generative AI outputs at scale, improve model alignment, reduce costs, and tackle challenges like bias and interpretability.

It’s critical enterprises can trust and rely on GenAI evaluation results, and for that, SME-in-the-loop workflows are needed. In my first blog post on enterprise GenAI evaluation, I discussed the importance of specialized evaluators as a scalable proxy for SMEs. It simply isn’t practical to task SMEs with performing manual evaluations – it can take weeks if not longer, unnecessarily…