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DeepVA

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About

DeepVA is an enterprise-grade composite AI platform designed to automate complex media workflows and metadata processes. It utilizes a unified REST API to provide access to a variety of proprietary, open-source, and research-based models. Organizations can use these tools for tasks such as automated transcription, live subtitling, and visual recognition, including face, logo, and landmark identification. The platform is built to handle large-scale media archives, converting raw footage into searchable, enriched assets through automated tagging and indexing. The architecture is structured into specialized layers, including the Deep Live Hub for real-time analysis and the Deep Media Analyzer for file-based processing. A central feature is the Aiconix Metadata Transport (AMT) standard, which enables the delivery of time-coded metadata and multi-lingual subtitles with low latency. Users have the option to manage their tasks through a no-code web interface or integrate the platform's capabilities into existing Media Asset Management (MAM) systems and newsroom tools. This allows for the automation of repetitive tasks like content moderation, diversity analysis, and shot boundary detection. This platform is specifically tailored for broadcasters, newsrooms, and OTT streaming services that require high levels of data sovereignty and legal compliance. It is particularly useful for media archivists who need to index massive libraries and event organizers who require real-time translation for global audiences. Because the platform supports both European cloud hosting and 100% offline, on-premise deployments, it meets the strict requirements of the GDPR and the EU AI Act. It provides a secure environment where users can train custom models without sharing their sensitive data for general training purposes. What sets DeepVA apart is its composite AI approach, which avoids vendor lock-in by allowing the integration of third-party algorithms like DeepL or Whisper alongside custom proprietary models. Unlike many cloud-only AI services, it offers transparency and control over the AI infrastructure, including the ability to run fully offline. Engineered in Germany, the platform focuses on precision and real-world applicability for media professionals. Its ability to host and operate customer-provided models within its ecosystem provides a level of flexibility rarely found in standardized AI offerings.

Pros & Cons

Supports 100% offline, on-premise deployment for maximum data security.

Compliant with both GDPR and the European AI Act by design.

Allows users to train and host their own proprietary AI models within the ecosystem.

Provides a single API to access proprietary, open-source, and third-party models like DeepL.

Features the AMT standard for lightning-fast delivery of live metadata and subtitles.

Pricing is primarily geared towards enterprise-level budgets rather than individuals.

Standard subscriptions require a minimum contract duration of 12 months.

The 14-day trial requires commitment to a plan at the end of the period.

Advanced integration may require significant development work via the REST API.

Use Cases

Broadcasters can use Deep Live Hub to generate real-time multi-lingual subtitles for live events, ensuring global accessibility.

Media archivists can automate the indexing of large video libraries using face and object recognition to make footage instantly searchable.

Journalists can integrate DeepVA into newsroom tools to obtain instant transcriptions and AI-assisted editorial insights.

OTT platform managers can enrich content metadata to provide viewers with smarter personalized recommendations and richer catalog details.

Event organizers can use AI analysis for automated content tagging and protocol generation during 24/7 live streaming operations.

Platform
Web
Task
media analysis

Features

custom ai model training

gdpr and ai act compliance

live subtitling and translation

automated metadata enrichment

rest api and webui access

on-premise and offline deployment

face and speaker identification

multi-modal ai models

FAQs

What is the Aiconix Metadata Transport (AMT) standard?

AMT is a specialized format for all types of enriched live metadata, delivering timecoded information with minimal delay. It allows for lightning-fast, AI-powered subtitling and real-time multilingual experiences during live broadcasts.

Can DeepVA be used without an internet connection?

Yes, DeepVA supports 100% offline deployment through its on-premise infrastructure. This ensures that sensitive data remains entirely within your own local borders for maximum security and compliance.

Does DeepVA use customer data to train its own AI models?

No, the platform is designed so that customer proprietary data is not used for general training purposes. Users maintain full data sovereignty and control over their own AI infrastructure.

What types of visual recognition does the platform support?

The platform provides face recognition, logo detection, landmark identification, and object/scene recognition. It also includes specialized functions for diversity analysis, shot boundary detection, and QR-code detection.

How long is the trial period for the AI platform?

DeepVA offers a 14-day free trial for their AI platform. At the end of this trial period, users are expected to commit to one of the available subscription plans.

Pricing Plans

Startup
EUR199.00 / per month

9h Live-Subtitling

33h Video-Recognition

133h Audio-Recognition

20x AI Model Trainings

200GB Storage

WebUI & API Access

12-month minimum contract

14-day free trial

Essential
EUR499.00 / per month

31h Live-Subtitling

83h Video-Recognition

333h Audio-Recognition

50x AI Model Trainings

500GB Storage

WebUI & API Access

12-month minimum contract

14-day free trial

Advanced
EUR999.00 / per month

94h Live-Subtitling

167h Video-Recognition

667h Audio-Recognition

100x AI Model Trainings

1TB Storage

WebUI & API Access

12-month minimum contract

14-day free trial

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