Specifications and datasheets
Pull dimensions, materials, ratings, and requirements from technical documents into consistent, structured records.
AI solutions
Document Intelligence Turn documents into data you can trust.
We build AI pipelines that read PDFs, drawings, specifications, forms, and email attachments, extract the information you need, validate it against your rules, and deliver structured data to your systems.
Scope, delivery, and pricing are agreed for your organization. Prefer email? Enquire
- Inputs
- PDFs, scans, drawings, email
- Output
- Structured, validated data
- Review
- Confidence-based human checks
- Accuracy
- Measured on your documents
Overview
Accuracy you can verify
Every extracted value can be traced back to its source, with confidence checks and review queues for anything uncertain.
From one-off backlogs to continuous document streams, we build pipelines matched to your documents and accuracy requirements.
- Source traceability
- Confidence thresholds
- Data protection
- Measured accuracy
Capabilities
What we deliver
The core capabilities of Document Intelligence, shaped around your workflows and systems.
RFQs, orders, and invoices
Capture line items, quantities, terms, and references from commercial documents and reconcile them with your systems.
Reports and correspondence
Classify inspection reports, certificates, and email, summarize key findings, and file them where they belong.
Technology
The technology behind it
We use proven, well-supported technology and choose it for each engagement. These are the platforms and tools we most often bring to Document Intelligence work.
Document understanding
Layout-aware models read tables, forms, and drawings, not just plain text.
- Azure AI Document Intelligence
- Amazon Textract
- Google Document AI
- Vision-capable language models
- Tesseract OCR
Extraction and validation
Extracted values are checked against your rules before they reach a system.
- Python
- Pydantic schemas
- JSON Schema
- Confidence scoring
- Unit and range validation
Review and integration
Uncertain results go to a person; confirmed data goes where it is needed.
- Human review interface
- SharePoint and OneDrive
- Email ingestion
- ERP and database connectors
- REST APIs
Search and reuse
Processed documents become a searchable knowledge base with citations.
- PostgreSQL + pgvector
- Azure AI Search
- Elasticsearch
- Full-text search with source links
Final technology choices are confirmed during scoping, based on your existing systems, security requirements, and budget. Product names are trademarks of their respective owners; listing them does not imply a partnership.
How we deliver
A clear path from idea to impact
Every engagement follows the same disciplined path, sized to your needs, with agreed scope, milestones, and success measures.
Collect representative samples
Share real documents, including the difficult ones, so we design for the variation you actually see.
Define the target data
Agree on the fields, formats, validation rules, and destination systems.
Build and measure
Evaluate extraction accuracy field by field against a labelled test set before rollout.
Operate with review
Route low-confidence results to reviewers and use their corrections to improve over time.
Why EngLogics
What you gain by working with us
Technology is only part of the answer. These commitments shape every Document Intelligence engagement, and they are why organizations choose a specialist partner.
Measured accuracy, not promises
We test on a representative sample of your real documents and report accuracy field by field before anything goes live.
Built for technical documents
Datasheets, specifications, drawings, and RFQs are dense and inconsistent. We design for units, tables, revisions, and the formats your suppliers actually send.
Confidence-based review
High-confidence fields flow straight through; uncertain ones go to a person. You decide where the threshold sits.
Your data stays yours
Processing can run in your own cloud tenancy or on-premises, and your documents are never used to train public models.
Built for enterprise
Designed to be trusted
Security, oversight, and maintainability are part of the design from the first conversation, not added at the end.
Source traceability
Every value links back to the page and passage it came from.
Confidence thresholds
Uncertain results are held for review rather than passed through.
Data protection
Documents are processed within the environment and retention rules you approve.
Measured accuracy
Accuracy is measured on your own documents, not generic benchmarks.
Outlook: the future of AI
Every document becomes structured, searchable data
Most technical knowledge still lives in PDFs, drawings, and email attachments. Multimodal AI can now read these documents with the context a specialist would apply, turning archives into data your systems and agents can use.
- Now
Extraction at intake
New documents are read, validated, and entered into your systems without re-keying.
- Next 2–3 years
Connected document knowledge
Specifications, revisions, and correspondence are linked, so agents can answer questions across an entire project history.
- Longer term
Documents that check themselves
Incoming documents are compared automatically against standards, contracts, and past jobs, with discrepancies flagged before work begins.
Questions
Before we begin
Bring a description of your current process, the systems involved, and the outcome that would matter most to your team.
Can it handle scanned documents?
Scanned documents are common and usually workable. Handwriting and poor-quality scans are assessed on samples during discovery so expectations are clear.
Where does the extracted data go?
Into the systems you choose, such as ERP, databases, spreadsheets, or a review application we build, through secure integrations.
How is accuracy measured?
We build a labelled test set from your documents and measure accuracy for each field before and after launch.
Start a conversation
Let’s put AI to work on your processes
Tell us about the workflow, the systems involved, and the outcome you need. We will respond with practical next steps for scoping your project.