Technology Built for Human-AI Collaboration.
HiveMind develops specialized technologies for stories, speech, multimodal content, and workflow orchestration — and connects them with human expertise for production-ready results.
Context & Story Intelligence
Maintains terminology, characters, relationships, tone, and narrative context across long-form content.
Whisper-H Speech Intelligence
A HiveMind-optimized speech recognition model built on Whisper large-v3, tuned for Korean speech recognition and timestamp alignment.
Multimodal Content Processing
Processes text, documents, images, audio, and video while preserving structural, visual, and timing context.
Human-AI Quality Workflow
Combines automated quality evaluation with human review for meaning, tone, cultural context, and creative intent.
Model & Workflow Orchestration
Uses context layers, Self-RAG/GraphRAG, and best-fit model routing to connect AI processing, review, approval, and delivery.
Trusted Foundation Models.
HiveMind-Built Intelligence and Workflows.
Aurorah combines HiveMind’s domain-optimized speech recognition, context orchestration, quality-control technologies, and human review workflows with best-fit foundation models. Its media-localization pipeline — originally developed as Beedio AI v1.0 and now integrated into Aurorah — was independently tested by STA Testing Consulting.
Lower is better for WER; higher is better for BERTScore F1, T2, and MOS.
Tested Configuration
| Speech Recognition & Timing | Whisper-H, based on Whisper large-v3 |
|---|---|
| Translation | HiveMind Self-RAG/GraphRAG orchestration with Claude Sonnet 4 |
| Dubbing | Eleven Multilingual v2.1 with HiveMind workflow and customization layers |
View Test Methodology
Test target: Beedio AI v1.0, now integrated into Aurorah. Testing organization: STA Testing Consulting. Test report No. 25-B005-AI01, issued October 30, 2025. Performance test conducted for the 2025 AI Voucher program.
The evaluated items were outside the laboratory’s KOLAS-accredited scope. Results apply to the tested product version, configuration, and datasets described in the report.
6 Patent Applications & Registrations
Covering AI-based captioning and translation automation, copyright infringement detection, and AI service infrastructure.
See the Technology in a Real Project.
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