AI-Powered Broadcast Intelligence
MAIA (Media AI Agent)
MAIA is Geminisoft's integrated AI engine suite with a purpose-built for broadcasters who need to turn massive media libraries into searchable, reusable, revenue-generating assets. From real-time speech recognition to scene-level video understanding, MAIA eliminates manual bottlenecks across your entire media workflow.
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On-Premises AI Video Language Model
MAIA Video
Scene Change Detection
SAI detects scene transitions and segments video from frame to shot to scene, generating structured metadata at every level.
Your archive has thousands of hours of footage. MAIA Video watches all of it — so your team doesn't have to.
MAIA Video is an on-premises AI Video Language Model that uses advanced computer vision to analyze every frame, shot, and scene in your media library. It automatically recognizes objects, people, locations, actions, and contextual relationships — then generates rich, searchable metadata at the scene level. No more manual tagging. No more lost footage buried in storage.
With built-in natural language processing (NLP), your editors can search the way they think: type "anchor reporting on wildfire with aerial footage" and MAIA Video finds the exact scenes across your entire archive. Combined with vector database technology for multimodal embedding, it transforms simple storage into an intelligent, AI-searchable media asset.
Object Detection
Identifies 116+ object classes including people, vehicles, animals, and backgrounds with panoptic segmentation and auto-tagging.
Video Summary & Scene Describing
Generative AI automatically produces human-readable descriptions for each scene, ready-to-use as preview notes or editorial references.
Natural Language Search
Search your archive in plain language. MAIA integrates face, object, STT, and scene data for intent-aware, precision retrieval.
🔒 On-Premises deployment — your content never leaves your facility. MAIA Video runs locally with full cloud-hybrid flexibility when needed.
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STT (Speech-to-Text)
MAIA Speech
Every word spoken on air becomes searchable text — automatically, accurately, and in real time.
MAIA Speech is a multi-engine STT Hub that converts spoken audio into timecode-synchronized text across your entire content library. Rather than locking you into a single vendor, MAIA Speech integrates the industry's leading engines — letting you choose the optimal balance of language support, accuracy, security, and cost for each project.
Speaker diarization automatically identifies who said what, linking each voice segment to the timeline. Editors can search by keyword within transcripts and jump to the exact edit point instantly. AI-powered subtitle editing, auto-summarization, and downloadable caption files are built right in — turning hours of manual transcription into a one-click workflow.
Supported STT Engines
Google Speech-to-Text
Amazon Transcribe
Naver Clova
Open AI Whispear
Daglo
Deployment Options
Cloud-based SaaS with pay-per-use pricing for maximum flexibility — or fully on-premises with Whisper (custom-tuned by Geminisoft) for complete data sovereignty. Hybrid configurations available.
🎁 Face DB included at no extra charge — MAIA Speech comes bundled with face recognition database capabilities, adding visual intelligence to your audio analysis pipeline.
Face recognition
This solution automatically detects and identifies performers in a video and stores this information as metadata. It enables quick searches for scenes featuring specific individuals and allows the database to be expanded by later adding individuals who were not initially recognized.
Previously, broadcast editors had to manually review numerous clips or classify performers in the footage to find the videos they needed. With AI now automatically detecting and analyzing individuals, media content can be searched and edited more easily and efficiently.
Media Semantic
This solution analyzes images and videos using computer vision technology and automatically generates metadata by recognizing objects, people, places, time, and relationships. This enables more efficient content search and classification.
Its key features include scene change detection, object recognition, and metadata generation. AI detects scene transitions in videos, identifies various objects, and generates descriptive tags and summaries based on them to enhance the efficiency of media editing and management.