DataManager AI
Intelligent. Unified. Autonomous.
DataManager AI is the application that brings edge, cloud, tape, and offline datasets into a single searchable space. Teams work in a web-based interface; an on-prem LLM powers natural-language discovery while facial recognition, scene and chapter detection, transcription, and OCR unlock the archive—without cloud tokens or a separate MAM.
Zero Cloud Token Fees
GPU-accelerated LLM and media AI run locally on the edge—no per-query cloud bill, bandwidth tax, or API rate limits.
Local GPU Processing
Indexing, search, and automation stay on your infrastructure—online arrays, cloud S3, LTO tape, and offline silos included.
Live Semantic Discovery Sandbox
Ask in plain language from the browser. DataManager AI understands meaning—not just filenames:
DataManager AI Application
Sits on your silos — not another cloud MAM. DataManager AI scans existing storage—edge NAS, S3, tape, and offline volumes—then catalogs, indexes, and serves that media through a web-based interface, Premiere, DaVinci Resolve, Cloud Channels, and mobile.
Existing Storage Silos
Scanned & cataloged in place without moving media.
DataManager AI
Intelligent · Unified · Autonomous edge processing.
Users & Workflow Panels
Native editors, browser UI, and cloud distribution.
Existing Storage Silos
DataManager AI sits on top of your existing infrastructure—scanning, indexing, and cataloging in place without forcing painful data migrations into a separate storage silo.
What Teams Use Every Day
From browser-based semantic search to native timeline drop-ins inside Adobe Premiere and DaVinci Resolve.
Context-Aware Frame Discovery
Ask in plain language from the browser. DataManager AI understands meaning—not just filenames—and returns frame-accurate moments across scenes and timelines without relying on manual taggers.
Unified Data Space Visibility
Automatically scan fragmented on-prem silos, S3 buckets, LTO tape, and offline volumes. Indexes stay alive even when media is dark or offline—including forensic snapshots.
Native Editorial Integration
Editors stay in Adobe Premiere or DaVinci Resolve. Matching panels find relevant clips from the unified catalog and drop them into the cut—no round-trip through a separate MAM.
Core Application Capabilities
Everything needed to see, hear, organize, and automate enterprise media datasets across high-performance clusters.
AI-Powered Intelligence
Detect faces, scenes, and chapters, then extract insights with speech-to-text and OCR. Automated metadata turns dark media into a searchable knowledge base.
Semantic Search & LLM
Natural-language queries find exact moments in scenes and timelines. The on-prem LLM understands meaning—far beyond legacy keyword catalogs.
Unified Data Space
Connect and manage data across edge and cloud—major file systems, S3, tape, and offline volumes—without migrating into a new silo.
Workflow Automation
Instant indexing as media arrives, proxy generation for fast editing, and triggered AI workflows—transcription, recognition, and more—on customizable schedules.
Web UI, NLE Panels & Cloud Channels
A web-based interface for search, catalog, and operations; native panels for Adobe Premiere and DaVinci Resolve; plus Apace Cloud Channels for annotation, chat, timeline sharing, and hybrid collaboration.
Dedup, Multi-Sync & DR
Identify duplicate files, keep local and remote archives in sync, and run validated off-site backup so disaster recovery is built into the same application.
Key Value Benefits
Predictable hardware investments, total storage visibility, and zero human intervention required.
Token-Free Edge AI
All-you-can-eat local inference on GPU hardware. No cloud vendor lock-in, no per-token LLM fees, and no bandwidth tax to analyze media at scale.
Visibility Across Every Silo
Give IT and production a single catalog over fragmented on-prem storage, cloud, tape, and dark media—including uniform remote and multi-site access.
Autonomous Ingest & Index
Media is processed as soon as it arrives. AI sees, hears, and organizes content without manual logging—then proxies and workflows fire on rules you set.
gStor Edge AI Storage
A budget-friendly, GPU-enabled turnkey edge AI storage solution designed specifically for DataManager AI.
Storage and GPU Inference in One Turnkey System
gStor is Apace’s rack-ready appliance for DataManager AI. Storage and GPU inference live in one system: rack it, attach existing silos, and the application starts cataloging, searching, and automating—no cloud tokens, no DIY GPU stack.
Built for real-time recognition, transcription, and detection plus parallel workflow automation and high-performance transcoding. Connect SAN, NAS, S3, and tape over 10GbE while the catalog stays on-prem.
Production Use Cases
Select a business workflow scenario to see how DataManager AI coordinates distributed media operations.
Unified Silos Virtualization
The Challenge
Multi-department studios operate separate NAS pools, external drives, and cloud storage buckets, creating massive search gaps, duplicated assets, directory confusion, and growing volumes of dark data.
The Solution
DataManager aggregates all physical storages into a single virtual directory space. Find, deduplicate, and access any asset instantly, regardless of its physical partition.
Media Supply Chain Integration
Working in synergy with Apace Cloud Channels, DataManager unifies Creation, Storage, Delivery, and Consumption across distributed nodes.
1. Ingest & Creation
Direct camera-to-editor pipelines. DataManager unifies incoming drone logs, field camera card arrays, and mobile uploads instantly, generating lightweight proxies with exact timecodes for off-site editors.
Visual Supply Chain Flow
Flexible Deployment Options
Choose how you want to run Apace intelligence across your facility. Whether deploying a turnkey GPU storage appliance or integrating headless AI microservices via REST API.
DataManager AI + gStor
An all-in-one, fully integrated edge appliance combining high-speed NVMe/hybrid shared storage with dedicated NVIDIA GPU acceleration and unified MAM. Consolidates multi-tier storage silos, automates NLE workflows, and runs local LLM semantic search with $0 cloud fees.
AI Only as an API
A headless, containerized AI engine exposing RESTful endpoints and WebSockets. Seamlessly embeds localized facial recognition, speech-to-text, OCR, and vector embeddings into third-party MAMs and custom pipelines.
Architecture & Feature Comparison
Compare technical capabilities, hardware dependencies, and integration scope across both models.
| Feature / Model | DataManager AI + gStor | AI Only as an API |
|---|---|---|
| Delivery Method | Turnkey Hardware Appliance | Docker / K8s Microservices |
| Unified Multi-Storage Catalog | check Yes + Local Shared Pool | BYO Storage |
| Adobe & Resolve Panels | check Included | Custom API Integration |
| Localized GPU Vision & LLM AI | check Built-in Dedicated GPU | check Dedicated API Endpoints |
| Recurring Cloud Token Fees | $0.00 (100% Local) | $0.00 (Self-Hosted) |
| RESTful & Webhook API | Full Stack Management API | check Native AI API Engine |
| Included Hardware | gStor Enterprise Enclosure | BYO GPU Nodes / Cluster |
| Primary User Persona | Post Supervisors, Editors, Facility Engineers & Broadcast Ops | Developers & System Integrators |