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Bringing AI into Professional Workflows

The technology behind the HearU app

Building a professional, explainable, and secure AI architecture.

HearU is built around professional domains and real workflows, so that large language models can understand specific contexts and produce results that meet professional needs. It also introduces explainable AI and tiered data authorization, making AI's processing traceable and its results verifiable, and drawing clear permission boundaries between data-use efficiency and privacy.

Diagram of a central LLM surrounded by domain knowledge (context understanding, psychological domain knowledge, professional terminology, shown in Chinese) and workflow steps with checkpoints

HearU Core TechnologyDomain- and Workflow-Adaptive LLM

DOMAIN & WORKFLOW-ADAPTIVE LLM

HearU adapts large language models to specific professional domains, building an understanding of professional terminology, context, and domain knowledge, and integrating model capability into existing professional workflows.

Constrained jointly by domain knowledge, task context, and workflow rules, the LLM can understand information, carry out tasks, and produce outputs that fit workflow requirements in a specific professional setting, lowering the risk of general-purpose language models drifting away from professional context.

Expert-Oriented Explainable AI

EXPERT-ORIENTED EXPLAINABLE AI

HearU's explainability design mainly serves system developers, administrators, and domain professionals, giving AI's processing and outputs a traceable, inspectable, and verifiable foundation.

By retaining key context, processing rationale, and system behavior information, it helps professionals understand how the model arrived at a result, and serves as the basis for system oversight, quality management, and continuous improvement.

Diagram of HearU's authorization flow: users own their data, a partner requests access, the user grants authorization, and access is scoped by role to raw data, an administrative summary, or masked and de-identified data

Secure Tiered Authorization and Data Access

ROLE-BASED DATA AUTHORIZATION & CONTROLLED ACCESS

HearU builds tiered authorization and data access around data ownership and role permissions. Users retain control of their own data by default, and partner organizations can access only a defined scope of data, according to their role and business needs, after obtaining the corresponding authorization.

Different roles don't necessarily receive the same data. Depending on authorization level and purpose of use, the system can provide raw data, administratively summarized information, or masked and de-identified data, drawing a clear boundary between data usability and privacy protection.

HearU App

A human-centered, AI-powered self-reflection app. Starting from each conversation, it helps users sort through their emotions and thoughts in the moment, and lets what they share at different times gradually connect, revealing their own feelings, experiences, and emotional patterns.

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