Platform

Intelligent Extraction

Sits on top of your DMSs, ERPs, and CRMs. Uses AI to extract key data from documents, metadata, images, and videos — centralizing information automatically and making it ready for your workflows. Your domain knowledge stays yours.

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Core Capabilities

Structure the unstructured at scale.

Our Intelligent Extraction layer sits on top of your existing data sources. Using AI, it extracts key information from documents, metadata, images, and videos — centralizing it automatically and making it immediately available for downstream workflows. Customers remain the owners of their domain knowledge, with support for self-hosted AI models so data never leaves your environment.

Multi-modal Ingestion

Processes PDFs, scanned images, videos, audio, spreadsheets, and emails through a single unified pipeline — no per-format configuration needed.

AI Classification & Field Extraction

AI identifies document type, locates relevant regions, and extracts structured fields without pre-defined templates or manual rules.

Confidence Scoring & Human-in-the-loop

Every extracted field is returned with a confidence score — low-confidence values are automatically flagged for human review before proceeding.

Self-hosted AI — Data Sovereignty

Supports self-hostable language models so your documents and domain knowledge never leave your environment or reach third-party AI providers.

Input Sources

Any format. Any source.

📄

PDF

🖼️

Image

🎬

Video

🎙️

Audio

🔍

Scanned

📊

Spreadsheet

routed to extraction engine

See extraction in action

Upload a sample document and watch the AI extract structured data in real time.

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FAQ

Common questions about Intelligent Extraction

What document types and formats can be extracted?

Intelligent Extraction handles native PDFs, scanned documents, images (JPEG, PNG, TIFF), Microsoft Office files, emails and attachments, spreadsheets, video files, and audio recordings — all through a single unified pipeline with no per-format configuration required.

Do we need to build or maintain extraction templates?

No. Our AI classifies documents and extracts fields contextually — it understands meaning and layout, not just fixed positions. This means it works across varied document formats from different suppliers without requiring you to define or maintain any templates.

What accuracy levels can we expect?

On standard business documents such as invoices, purchase orders, and claims forms, extraction accuracy consistently exceeds 99% for structured fields. Every extracted value is returned with a confidence score, and low-confidence fields are automatically flagged for human review — ensuring downstream data quality regardless of input quality.

How does data sovereignty work — does our data leave our environment?

Intelligent Extraction supports fully self-hosted AI models, which means all processing happens inside your own infrastructure. Your documents and domain knowledge never leave your environment or get sent to third-party AI providers. Cloud deployment is also available for organisations without on-premise requirements.

Can it process video and audio content, not just documents?

Yes. Our Video Understanding pipeline transcribes and extracts structured data from video recordings, lecture content, call recordings, and audio files — making information from multimedia sources searchable, classifiable, and usable in downstream workflows just like any other document.

How does extracted data get into our systems?

Extracted data is delivered in real time via REST API and webhooks, making it immediately available to your ERPs, CRMs, workflow engines, or any downstream system. The Intelligent Automation layer can also take over from extraction and act on the structured data automatically — routing, validating, and posting without human intervention.

What happens when the AI is not confident about a field?

Every field comes with a confidence score. Fields below a configurable threshold are automatically flagged and routed to a human reviewer before entering any downstream workflow. This human-in-the-loop mechanism ensures data quality is maintained even on difficult or degraded input documents.

What is UAT?

Most customers are processing live documents within 4–6 weeks of contract signing. For complex multi-source deployments, this may extend to 8–12 weeks. Our professional services team manages the full implementation including connector configuration and model calibration on your document types.