What is GENERAITR?

GENERAITR is a structured, scalable and compliant generative AI infrastructure platform that helps organisations produce high-quality audiovisual material at scale, with transparency, control and consistency built in.

The platform is installed locally on the customer’s own hardware and accessed through the browser on the local network. No cloud dependency. No external data exposure. Full ownership of data, models and output.

GENERAITR enables teams to:

  • Generate consistent images and video across predefined styles, formats and use cases
  • Manage variations and outputs through structured, repeatable production workflows
  • Reuse and build upon previous results instead of starting from scratch
  • Maintain full visibility into prompts, parameters, models and versions
  • Scale production by adding compute nodes, seats and pipelines, not by buying credits

GENERAITR supports both open-source AI models (running on local GPU or cloud compute such as RunPod) and commercial API-based models, allowing organisations to balance speed, cost and quality within one unified system.

Pricing is based on infrastructure capacity, not on usage or generations.

A new foundation for professional generative AI production

GENERAITR is built for organisations that need more than fast, one-off AI results. It is designed for teams that require consistency, scale, control and compliance when producing audiovisual material.

Rather than relying on manual prompt workflows and fragmented tools, GENERAITR provides ready-built production pipelines with structured prompt systems, workflow orchestration and job management built in. This makes it possible to generate, manage and scale images, video and audiovisual variations in a controlled and repeatable way.

The platform handles everything around the generation process: media management, template systems, model administration, format control, compliance logging and output distribution. Complex AI workflows are packaged into simple, parameter-driven interfaces that any team member can use, no technical knowledge required.

Creative direction remains in human hands. Generative AI is used as a production engine, not a creative black box.

GENERAITR launches with its first ready-built vertical pipeline for Interior Design + AI. Additional verticals; including real estate, architecture, retail and media production, are being introduced progressively.

EARLY ACCESS

WHY GENERAITR MATTERS

Many AI tools today are built for experimentation, not production at scale.

The challenges organisations face

  • AI outputs are inconsistent and hard to reproduce
  • Results are difficult to reuse or version
  • Prompting is time-consuming and highly manual
  • Tools are fragmented across images, video and models
  • Workflows break when teams need to scale
  • There is little or no audit trail
  • Compliance with the EU AI Act is unclear or missing
  • Costs are unpredictable when tied to credits and per-generation pricing

The impact

Teams waste time regenerating content, struggle to maintain visual consistency, and take on unnecessary compliance risk when using generative AI in professional environments. Credit-based pricing models make costs hard to forecast and difficult to scale.

GENERAITR is built to address these challenges with structure, control and compliance at its core, and with predictable infrastructure-based pricing that does not penalise production volume.

 

How GENERAITR is different

Most AI tools behave like black boxes. GENERAITR is designed as a system.

GENERAITR provides

  • Structured production pipelines built around real use cases, not random prompts
  • Workflow orchestration, job queue and template management for scalable team production
  • EU AI Act-aligned outputs with metadata logging and watermarking included
  • Full transparency of prompts, parameters, models and versions
  • Support for both open-source and commercial API-based AI models, bring your own
  • Predictable workflows from input to variations, review and final delivery
  • Multi-output support, including images, video, upscaling and format adaptation
  • Human-centric control where teams guide outcomes, not the model
  • Local deployment on the customer’s own hardware, no external data exposure
  • Infrastructure-based pricing with no credits, no per-generation fees and no usage limits

Instead of juggling multiple tools, GENERAITR brings generative AI production into one controlled, locally deployed environment.

 

Who GENERAITR is for

GENERAITR is built for organisations and teams that need consistent, high-quality and compliant audiovisual content produced at scale — across different AI models, formats and use cases.

Core industries and use cases

 

Real estate, property developers, brokers and architects

Interior visualisations, furnished variants and style exploration to communicate potential, support sales and accelerate decision-making. Industry-specific pipelines ready to run — not generic tools.

Brands and organisations working with spaces, products and visual environments

Scalable visual production, contextual product visualisation and consistent outputs across channels and markets.

Creative agencies and production studios

AI-assisted workflows for concept exploration, visual testing and scalable production — with governance, reproducibility and no vendor lock-in. Technical users build the pipelines; the entire team benefits through the simplified interface.

Retail, fashion, beauty and lifestyle brands

Lookbooks, packshots, prototypes and campaign visuals with controlled variation and consistent visual identity across large catalogues.

E-commerce and online marketplaces

High-volume visual production with consistent quality, structure and presentation across large product catalogues and multiple marketplace formats.

Creative professionals working in visual storytelling

AI-assisted workflows for concept exploration, visual testing, and scalable production, enabling controlled variation, faster iteration and client-ready outputs without losing creative direction.

Media, music and entertainment

Artist visuals, album artwork, campaign assets, visualisers and supporting media material across platforms. Full pipeline from pre-visualisation to finished output.

Museums, galleries and cultural institutions

Exhibition previews, reconstructions and accessible digital material for storytelling, preservation and public engagement.

Education and EdTech

Visualised concepts, diagrams and explainer scenes that support learning, understanding and communication at scale.

Nonprofits and public-impact organisations

Storytelling, scenario visualisation and awareness campaigns to communicate complex issues and societal impact.

Climate, sustainability and environmental organisations

Climate scenario visualisation, impact storytelling, future projections and awareness-driven visual content.

This also extends to marketing and communication teams, education and training, product development and concept exploration, and any organisation producing visual content at volume that needs structure, consistency and compliance.

In short: GENERAITR is for any organisation that needs structured, scalable and compliant AI-driven audiovisual workflows, whether for communication, production, visualisation or exploration at scale.

USE CASE 1: INTERIOR DESIGN + AI

USER CASE: Interior Design + AI

GENERAITR launches in Early Access pre-beta with its first ready-built pipeline focused on Interior Design visualisation.

What it does

Generates consistent, styled interior visuals from real-world spaces using predefined room types, structured style systems and compliant AI-driven workflows.

Who it is for

  • Real estate and property development
  • Interior and furniture brands
  • Architectural firms and interior design teams
  • Marketing and communication teams
  • Creative professionals working with interiors and spatial storytelling
  • Organisations working with physical spaces and environments

Input

Mobile or camera photos of empty, neutral or partly decorated rooms, combined with selected room types, styles and generation options.

Output

Styled HD or 4K images and short video clips, compliant with the EU AI Act and ready for use across websites, social media, ads, presentations and marketplaces.

Included structure

  • 20 predefined interior styles with detailed style descriptions
  • Multiple style combinations per style
  • 19 predefined room types
  • Structured prompt system, no manual prompting required

Why it is useful

  • Faster production with predictable, reproducible results
  • Lower costs compared to physical styling and traditional visualisation
  • Multiple styles and variations from the same input material
  • No physical styling, logistics or reshoots required
  • Clear visualisation of potential to support decision-making

Perfect for showing potential, supporting sales and marketing, visualising products in context and testing different visual expressions at scale.

 

SEE MORE IMAGES IN PORTFOLIO

EARLY ACCESS!

GENERAITR is currently available through Early Access Pre-Beta.

We are onboarding early customers who want to deploy structured, scalable and compliant generative AI workflows within their organisation. Early Access participants get hands-on access to the platform, influence future development and gain access to new pipeline templates and verticals as they are released.

During the Early Access period, TOMLIN STUDIO also offers guided onboarding, co-generation sessions (Start and Pro) and studio-managed generation as optional services through different generation packages. For teams that want expert support while getting started with the platform.

If you are interested in using GENERAITR or want to learn more about the Early Access Beta, fill out our form and we will get in touch with you.

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FILL OUT FORM FOR EARLY ACCESS:

Are you interested in getting Early Access to or finding out more about GENERAITR? Please fill out the form below and we’ll get back to you as soon as possible.

/TOMLIN STUDIO + GENERAITR team