Ema

Hyta is a platform designed to scale and operationalize AI post-training workflows by creating always-on pipelines of specialized human intelligence and tracking trusted contributions so model improvement is continuous rather than a one-off project. It unifies a community of domain specialists and machine-learning contributors to supply high-quality human signals that support long-horizon, domain-specific model training and reinforcement learning pipelines, with mechanisms to retain contributor trust and context across projects and models. It emphasizes reliable trajectories by tailoring pipelines to organizational and project demands, preserving verified contributions, and enabling persistent feedback that compounds capabilities across industries. Hyta connects contributors, labs, enterprises, and post-training teams in a broader ecosystem, allowing organizations to orchestrate human-in-the-loop workflows at scale and integrate human feedback into model development processes.

Kortext fusion is a unified content and data platform built in partnership with Microsoft that connects an institution’s multiple data sources, AI capabilities, and existing applications into a single strategic foundation to accelerate digital transformation across campus, enabling smarter, more connected experiences for students, academics, and leaders. It provides complete content access by leveraging trusted generative AI to exploit a university’s entire knowledge estate for the benefit of learners and staff; analytics and insights tools that collect data from multiple sources and display high-level dashboards for internal and external reporting; and machine learning and generative AI that integrates with existing workflows to enhance teaching, learning, retention, and personalization. It supports predictive learner analytics to track student wellbeing and retention, adaptive modeling of student behavior to personalize educational experiences.