Unstructured Data Processing for AI

Turn Unstructured Data Into Actionable Intelligence

Most organisations are sitting on mountains of untapped data, documents, emails, chat logs, and PDFs that never make it into dashboards.

“The ability to leverage unstructured data is crucial, as it represents an estimated 70%-90% of all enterprise data.“ Gartner

Shipshape Data helps you classify, clean, and convert that unstructured data into a structured format your AI systems can actually use.

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Turn Chaos Into Clarity

We transform unstructured, messy information into clean, structured datasets, ready for analytics, AI, and decision-making.

Our data pipelines extract meaning from documents, messages, audio, and text so your systems can find patterns, automate actions, and deliver insights in real time.

This isn’t just about cleaning data, it’s about unlocking potential: better models, faster analysis, and confident business decisions built on complete information.

Operational efficiency

Automate classification, extraction, and normalisation across millions of documents.

Data-driven insights

Deliver consistent, high-quality data that powers analytics and AI with confidence.

Intelligent automation

Apply NLP and machine learning to identify entities, themes, and relationships at scale.

Reliable governance

Every dataset is validated, versioned, and traceable, audit-ready and compliance-proof by design.

Outcomes That Drive Real Business Impact

We build systems that don’t just store data, they make it usable, searchable, and valuable.

Faster Decisions

Turn text-heavy data into structured, actionable information that drives real-time insights.

Lower
Costs

Cut down manual tagging, data entry, and cleaning by automating classification and extraction.

Improved Accuracy

Eliminate human error through consistent schema enforcement and model-driven validation.

Is your business ready for AI?

Our free AI Readiness Assessment helps you uncover how prepared your organisation really is, so you can identify gaps, strengthen your foundation, and confidently move toward AI-driven growth.

Free AI-readiness assessment

Our Approach: From Raw to Reliable

Every project follows a proven pipeline designed to handle volume, variation, and velocity, transforming unstructured content into structured, high-quality data ready for analytics and AI.

Step 1

Identify the Data Value
We uncover where unstructured data hides untapped insight, pinpointing friction, duplication, and missed opportunities across your organisation.

Step 2

Collect and Prepare
We aggregate data from documents, messages, and systems, cleaning and normalising formats to ensure consistency and accessibility.

Step 3

Classify and Structure
We use advanced NLP, entity recognition, and embedding models to categorise, extract, and map information into defined schemas.

Step 4

Enrich and Validate
We enhance datasets with metadata, relationships, and confidence scores, verifying quality, compliance, and completeness before deployment.

Step 5

Scale and Govern
We automate pipelines for continuous ingestion and monitoring, with built-in governance so every dataset stays accurate, traceable, and audit-ready.

Built on the Platforms You Trust

We work with the leading technologies for data ingestion, transformation, and management, combining scalable infrastructure with advanced machine learning to deliver structured, governed datasets.