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AI Data & Knowledge
Everything your organisation knows, findable, usable and ready for AI.
01The capability
The data and knowledge layer that makes AI useful: pipelines that prepare data, search that understands meaning, document processing at volume, analytics people can question in plain language, and content and media generated inside controlled pipelines.
02Services in this capability
Hover a service to see its form. Services with their own page open it; the rest are described here in full.
- 44AI Data Engineering
Pipelines that collect, clean and structure data so models can actually use it. Quality tests and lineage from source to model.
Described hereAI-ready pipelines · Data quality checks · Vector & feature stores · Unstructured data processing - 45Synthetic Data
Realistic artificial data for testing, training and sharing without exposing real people. Statistically faithful, privacy-safe and validated.
Described hereTest data generation · Training data augmentation · Privacy-safe sharing · Rare-case simulation - 46Multimodal AI
Systems that understand text, images, audio and video together. One model view of a document, a photo and a conversation.
Described hereImage & text understanding · Speech interfaces · Video analysis · Visual question answering - 47AI Knowledge Management
Company knowledge captured, organised and kept current automatically. Answers come with the source and the date they were last true.
Described hereKnowledge bases · Expert finding · Policy assistants · Content freshness - 48AI Document Processing
Forms, invoices, contracts and letters read, classified and extracted at volume. Confidence scores route uncertain fields to people.
Described hereData extraction · Classification & routing · Handwriting & scans · Validation rules - 49AI Data Analytics
Analysis that finds patterns, anomalies and forecasts without weeks of manual work. Explained in plain language, reproducible in code.
Described hereForecasting · Anomaly detection · Segmentation · Automated insights - 50AI Business Intelligence
Ask the data a question in plain words and get a chart and an explanation. Built on your governed metrics, so the answer matches the report.
Described hereNatural-language queries · Semantic layer · Narrated dashboards · Alerting on metrics - 51AI Search Systems
Search that understands meaning, not just keywords, across every system you own. Respects permissions; shows where each answer came from.
Described hereSemantic search · Enterprise search · Site & product search · Answer generation - 52AI Recommendation Systems
Personal recommendations for products, content and next best actions. Measured by uplift in A/B tests, not by guesswork.
Described hereProduct recommendations · Content personalisation · Next best action · A/B testing - 53AI Content Generation Platforms
Text, images and assets produced at scale inside brand-safe pipelines. Templates, review steps and versioning built in.
Described hereCopy generation · Image generation · Brand guardrails · Review workflows - 54AI Video Generation & Editing
Video produced, edited, subtitled and versioned with AI assistance. From one source to every format and language.
Described hereAutomated editing · Avatars & voice-over · Subtitles & dubbing · Format versions - 55AI Translation & Localization
Products, documents and content translated and adapted for every market. Your terminology and tone kept consistent, with review where it matters.
Described hereWebsite & app localisation · Document translation · Glossaries & style · Human review
03Typical problems we solve
When this capability is the answer.
- P.01
Knowledge is spread across drives, inboxes and the heads of a few people.
- P.02
AI projects stall because the data is not ready.
- P.03
Reports answer last month's questions, not today's.
- P.04
Content and translation cannot keep up with the markets you serve.
04Example solution types
What it usually becomes.
- S.01
AI-ready data
Pipelines, quality checks and synthetic data where real data is scarce. - S.02
Knowledge & search
Answers with sources, across every system. - S.03
Analytics in plain language
Ask the data a question, get a chart and an explanation. - S.04
Content at scale
Text, video and translation pipelines with review.
05Approach
Four steps, one team throughout.
- 01
Inventory
Sources, owners, quality and access rules.
- 02
Prepare
Clean, connect and govern the data.
- 03
Apply
Search, analytics or generation on top.
- 04
Measure
Answer quality, usage and freshness.
06Related technologies
Typical, not mandatory. Chosen per project, with your existing stack first.
BeginAI Data & Knowledge
Bring us the problem.
We will bring the system.
A first conversation maps the problem to the right services, in the right order. No obligation, no slideware.