PG CREATIVE INTELLIGENCE
Explore curated Arabic datasets and layered production assets built from our creative expertise. Discuss a private AI environment that lets your organization prepare data, adapt models and work with internal knowledge under your own control.
THE CONTEXT BEHIND THE CONTENT
PCI is the proprietary Arabic multimodal AI infrastructure of Progressive Generation Holding. It turns the stories, voices, characters and animation we create into structured data that keeps language, performance and visual context connected.
A line of dialogue can remain linked to the speaker, dialect, expression, timing and scene in which it belongs. A finished shot can retain the relationship to its source layers, clean backgrounds and audio. These connections make the material useful for model development, evaluation and creative workflows.
Our creative and technical specialists select, organize and review the material. Dataset scope, permitted uses and delivery requirements are agreed for each engagement.
WHO WE WORK WITH
For ministries, public authorities, national AI initiatives and public research institutions that need Arabic capability while retaining control of sensitive information. Scope curated data, local preparation and model-adaptation work around your approved infrastructure, access rules and data-residency requirements.
Typical needsInternal knowledge assistants, Arabic language models, protected archives and public-service research.
For banks, insurers, healthcare organizations, telecommunications providers, energy companies and other enterprises developing AI from their own knowledge and workflows. Scope private document intelligence, internal assistants and domain-specific datasets within the operating environment your organization approves.
Typical needsControlled knowledge access, internal search, workflow support and domain-specific model adaptation.
Language, speech, image, video and multimodal development with documented Arabic context and technical delivery requirements.
Archive intelligence, localization, media search, editing and controllable workflows built around connected media.
Arabic language, dialect, multimodal and evaluation research with a defined scope and research permissions.
Interaction, navigation, task execution and embodied learning through commissioned capture, gameplay or synthetic material where appropriate.
These are intended use cases and audiences, not a list of client installations.
PRIVATE AND LOCAL AI
Government entities and private-sector organizations may need sensitive data to remain under their direct control. A private PCI engagement starts with your operating requirements: where data is stored, where models run, who can access the workspace and which connections are allowed.
Discuss local data preparation, model fine-tuning, evaluation or an internal knowledge assistant through a deployment scoped with your technical and security teams.
Processing and storage on client infrastructure, subject to capacity, model licensing and support requirements.
An isolated environment in an approved region or account, with access and provider dependencies agreed.
A separately assessed environment with no external runtime connection and controlled imports and updates.
Architecture, connectivity, data residency and security controls are scoped and reviewed before any deployment commitment.
PACKAGED FOR YOUR PROJECT
Agree the content, technical specification and permitted uses before work begins. The delivery model follows your project—not the other way around.
A selected collection with a file index, agreed format and documented permissions.
Defined deliveryAssets with transcripts, labels, linked context or annotations.
Defined deliveryNew or revised material with agreed versions, change logs and quality checks.
Ongoing agreementApproved evaluation outputs, human review and task results from a client-agreed environment.
Client-specific scopeAligned scene components and available metadata alongside the final asset.
Selected or commissionedModalities, subjects, languages and dialects, source types, quantity and exclusions.
Resolution, frame rate, audio specifications, text schema, formats and naming.
Asset and scene identifiers, timing and the links between transcripts, audio, clips and layers.
Annotation definitions, sampling, acceptance criteria, limitations and the training/evaluation split.
Source records, permitted AI uses, restrictions and contributor permissions, including voice and likeness where relevant.
Destination, authorized users, transfer method, retention and versioning.
DATA PRODUCTS
From video and voice to layered scenes and private knowledge collections. Start with a sample request or describe the dataset you need us to build.
9 data types shown
Build with video organized around what happens in the frame. Explore animation, live action, camera movement, lighting, environments and human performance, with shot descriptions and technical metadata matched to your training brief.
Develop Arabic speech and sound experiences with recordings that preserve the performance. Scope studio speech, conversation, interviews, podcasts and isolated sound effects, with transcripts, timing and speaker information where included.
Explore visual data with clear subject and production context. Build collections of animation stills, cinematic images, characters, environments and objects, with captions and visual labels suited to your model or creative pipeline.
Connect Arabic language to its intended meaning. Scope scripts, dialogue, transcripts, captions and knowledge documents with dialect, domain and narrative context for language models, retrieval and multimodal alignment.
Study actions as they unfold in interactive worlds. Scope gameplay, navigation, demonstrations and commentary, with synchronized inputs, events or state information when the capture pipeline provides them.
Develop physical-world understanding from clear demonstrations of actions and tasks. Discuss human-object interaction, tool use, navigation and point-of-view capture, with the viewpoints, action labels and timing your research requires.
Turn your organization’s documents and workflows into a structured foundation for internal AI. Connect approved knowledge, messages, process records and operational data while preserving the access boundaries your teams require.
A finished video shows the result. A PCI layered package can also preserve the components that produced it: characters, props, backgrounds, clean plates, masks and separated audio. Where available and included in the scope, those elements remain connected to the same shot and timeline.
Connect what is said to how it is performed. Build aligned collections of Arabic dialogue, voice, facial expression, gesture and scene timing, with the dialect and cultural context defined by your brief. These links support speech, lip-sync, character and multimodal research.
Collection availability, sample access, permitted uses and delivery are confirmed for each project. Illustrations explain the offering; they are not dataset samples.
Evaluation
Commission held-out examples, reference annotations and expert review criteria for the Arabic language, performance or visual tasks you need to assess. Keep evaluation material separate from training content so results can be interpreted meaningfully.
HUMAN EXPERTISE
Creative and technical specialists select, label and validate the material against the agreed brief. Human review preserves the relationship between the language, performance, scene and creative decisions behind the work.
Confirm the task, audience, data, languages, dialects and constraints.
Agree sources, rights, exclusions, specifications and the operating environment.
Select existing material or commission production, capture and structuring.
Check samples, annotation criteria and acceptance requirements.
Deliver to the approved destination with documentation and agreed updates or support.
THE CONNECTED GROUP
PCI connects the group’s production, Arabic content, education and enterprise expertise. Each engagement draws on the capabilities relevant to its scope.
Creative production and structured media assets.
Original Arabic characters, stories and content.
Creative and technical education and capacity building.
An Arabic-first workspace connecting production.
Enterprise transformation, data systems and deployment engagements.
17+ years. 385+ original Arabic IPs.
Text, voice, image and motion—in context.
Dialogue, dialect, timing and creative decisions.
Curated, labelled and validated by professionals.
Original work provides the production context behind a collection.
Material is structured around the agreed task and delivery specification.
Language, timing, performance and scene relationships stay connected where included.
Specialists curate and review material against defined criteria.
Built from Arabic creative practice, organized for the way your teams develop and use AI.
A scoped dataset, enriched collection, layered production package or private AI engagement. Contents, permitted uses and delivery requirements are agreed for each engagement.
Yes. Describe the modalities, subjects, dialects, annotations and formats you need. We assess what is available and what requires new production or capture before confirming the scope.
A finished asset can remain linked to its mask, background, characters or audio stems. Those relationships support separation, alignment and control; the components included depend on the package.
Local or isolated deployment can be assessed. Processing dependencies, data flows and support requirements must be defined before describing an environment as fully local.
Private client data stays outside catalogue licensing. Reuse, cross-client use or external licensing requires a separate agreement.
No. Each collection has its own permitted uses and restrictions. Rights review must address relevant contributor permissions, including voice and likeness where applicable.
LET’S DEFINE THE RIGHT ENGAGEMENT
Share your use case, the data you need and where the work must run. We will use that brief to define the right dataset or private AI engagement.
Please describe the requirement without uploading sensitive data. A suitable transfer method can be agreed after scoping.
