BytePlus Media and Entertainment Thailand

Fortal Studio

Fortal Studio needed to scale 15-40 episode vertical dramas without the cost, staffing burden, continuity problems, Thai-localization gaps, and broken handoffs that came from conventional live-action production and disconnected AI tools.

1080p and 15 seconds
15-40 episodes
more than one million views on Fortal Studio's Facebook page
reducing revisions from another production day to a matter of hours

Reported impact

Business outcome

Fortal Studio proved a scalable AI short-drama pipeline that drove more than one million Facebook views, cut revision cycles from another production day to hours, enabled evidence-led pilot testing, and turned its internal workflow into a partner-facing commercial offering.

  • Productivity Improvement
  • Revenue Growth
  • Scalability
  • Speed to Market

Solution

Fortal Studio used BytePlus to replace a fragmented set of creative tools with an end-to-end AI production backbone for vertical short dramas. Scripts and shot breakdowns begin the workflow, then Dola Seedream 5.0 creates recurring character references, key art, and poster frames that become locked reference sets for the rest of production. Dreamina Seedance 2.0 uses those references to generate series-ready shots while maintaining character appearance, wardrobe, and set continuity across hundreds of clips and supporting segments up to 1080p and 15 seconds. Dola Seed Audio adds Thai-language dialogue and voice performance, and Video on Demand (VOD) provides encoding and distribution for finished episodes. Because assets stay tied to the same references across image, video, and audio stages, Fortal can regenerate revisions instead of rebuilding productions from scratch, making episodic output more reproducible for its own slate and partner work.

Data flow

Fortal starts with script and shot breakdowns, locks character references in Dola Seedream 5.0, generates episode clips in Dreamina Seedance 2.0, adds Thai-language voices with Dola Seed Audio, and then uses VOD to encode and distribute the finished short-drama output.

Solution architecture

4 components · 1 layer
  1. Serving
    • Dola Seedream 5.0 Creates locked character references, key art, and poster frames before episode production.
    • Dreamina Seedance 2.0 Generates video shots against locked references while maintaining continuity across characters, wardrobe, and sets.
    • Dola Seed Audio Produces Thai-language dialogue and voice performance for the finished episodes.
    • Video on Demand (VOD) Encodes and distributes the generated short-drama content after production.

Architecture clues

  • Dreamina Seedance 2.0 supports clips up to 1080p and 15 seconds
  • Recurring characters are locked as reference sets before production begins
  • Revisions can be regenerated against locked references instead of restarting a production cycle
  • The same workflow supports Fortal's own content slate and partner productions
  • The workflow spans script and shot breakdown, reference-locked image generation, video production, Thai-language voice generation, and distribution

Evidence from the source

"A video created using Dreamina Seedance models generated more than one million views on Fortal Studio's Facebook page"
"By combining Dola Seedream 5.0, Dreamina Seedance 2.0, Dola Seed Audio, and Video on Demand(VOD) Fortal Studio established a connected workflow spanning character development, visual generation, motion, voice, and content delivery."
"The workflow starts with script and shot breakdown before moving into reference-locked image generation, video production, Thai-language voice generation, and distribution."
"Using separate AI tools created broken handoffs between image, video, and audio generation."
"reducing revisions from another production day to a matter of hours"
Transparency Evidence & methodology 85/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. BytePlus

    Fortal Studio customer story

    First-party
    https://www.byteplus.com/en/case-study/Fortal%20Studio
    Source type
    Vendor-published customer story
    Published
    Sep 18, 2026
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Publisher catalog date Sep 18, 2026 · BytePlus · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.