Wetlands and biodiversityLandscape · Wide viewEcosystem
Intelligent Authoring Tools
Bespoke solutions combining editorial production, a semantic DAM and an LMS for teachers and students. AI accelerates content creation, adaptation and review; MCP connects editorial production tools.
What it makes possible
Structured activities and adapted materials that the team can review, publish and reuse.
How it takes shape.
We start with
Publisher PDFs, content and visual resources.
Technology prepares and organises. People review and decide.1 / 5
SCIENCE · ECOSYSTEMSCreate an activity
01 · SOURCE CONTENT
Who eats what?
Plants produce their food using light energy. Rabbits eat plants and foxes can feed on rabbits.
PlantRabbitFox
02 · AI DRAFT
Order the food chain
Put these living things in order: fox, plant and rabbit.
PROPOSED ANSWERPlant → Rabbit → Fox
Awaiting editorial reviewContent→AI draft→Human review
Technology works. People move forward.
Time back for editors and production teams: less manual work, more attention to learning quality.
Educational publishersProduction and QA teamsLearning platforms
Batch generation, structural validation, review and repair are implemented. Editorial production tools compare drafts with published content and prepare changes for review.
baiq · DAMYour visual collection.
Your visual collection.
Easier to discover.
A DAM is a digital asset repository. We make it searchable by meaning: describe the image you need and find related assets, even when you do not know the filename.
- Semantic search of images in your own collection.
- Natural-language requests converted into catalogue filters.
- Reused or adapted assets, with references to the original.
Less time searching for files or recreating assets. More time creating and making decisions.
Explore this capability ↗baiq
JPG · IllustrationQUESTION / CONTEXT
“A wetland to explain biodiversity”
THIS STAGE’S RESULT
Subject: wetland · use: educational resource
Fictional example · search within your collection
01 / 03 · Describe
Describe the image you need.
The request expresses the subject and use conditions even when the filename is unknown.
Subject: wetland · use: educational resource
baiq
JPG · IllustrationSTARTING WITH
Subject + format + catalogue metadata
THIS STAGE’S RESULT
Related assets for selection
Teams check result relevance.
02 / 03 · Find
Meaning and metadata together.
Semantic search gathers related assets and natural-language requests become catalogue filters.
Related assets for selection
baiq
SEMANTIC DAMOne idea. The right images.
IllustrationYOUR REPOSITORYImages · Meaning and metadata
Images to explain the biodiversity of a wetland
Life below the surfaceIllustration · Editable layersFood web
From your collection to your next creationSelection · Reuse · Source reference
03 / 03 · Reuse
Assets retain their origin.
People select an asset, review its conditions and retain the original reference when reusing or adapting it.
Asset ready for editorial work
Technology prepares and organises. People review and decide.1 / 3
Change the language.
Keep the resource.
The agent identifies text, translates it and reviews how it fits the image. One landscape, six processes and their arrows: the resource adapts to reach new readers.
baiq
THIS STAGE’S RESULT
Workflow illustration · fictional examples, except identified evidenceEvaporación / condensación / precipitación
AI-generated illustration · fictional example
01 / 03 · Identify
First, identify the text.
Labels and their relationships to illustration elements are identified.
Evaporación / condensación / precipitación
baiq
STARTING WITH
Evaporación → evaporation
THIS STAGE’S RESULT
Condensación → condensation
Precipitation / runoff / infiltration / groundwater
02 / 03 · Translate
Meaning follows each label.
Translation retains the relationship between process, label and arrow.
Condensación → condensation
baiq
THIS STAGE’S RESULT
Workflow illustration · fictional examples, except identified evidenceAsset localised into English
Illustrative example · fictional asset.
03 / 03 · Review
Same landscape, new labels.
Legibility and fit are reviewed while retaining the content, six processes and their arrows.
Asset localised into English
Technology prepares and organises. People review and decide.1 / 3
Enlarge image 
Enlarge image AI-generated illustrations showing the localisation of an educational resource. They are fictional examples, not screenshots of a real tool or pages from a commercial textbook.
Three needs, distinct capabilitiesFrom the editorial team
From the editorial team
to the classroom.
The same content foundation supports production, support and learning. Each connection has its own purpose and permissions.
Create and adapt
Batch activities, answer checks, contextual translation and image localisation. Teams validate before publication.
Production and QA
MCP for diagnosing assets, licences, issues and differences between drafts and publications. Changes prepared for review.
Teach and learn
An LMS for working with content, preparing lessons and supporting teachers and learners.
A capability that adapts to you
What about your organisation?
This project demonstrates a capability we can adapt to your organisation. Let’s explore how your knowledge can help users and become new services, licences or editions, with less repetitive work.
OCR: from scan to text ready to edit again.
Digitisation and review · OCR
AI agents: less repetitive work between manuscript and reader.
Editing and production
Editorial memory, in every new translation.
Editorial translation
Your knowledge is the assetCreate value.
Let’s explore your project ↗Create value.
Build a business.
Useful services for your users. New revenue for your organisation. Less production time and cost. Let’s design your next solution.