Do we have to train it on our documents first?

No. Data Geometry reads any document format on day one, with no templates to build or maintain. Training a custom model on your own documents is available when a format is unusual enough to need it, and it is an option rather than a prerequisite.

What happens when it is not confident?

Every extracted field carries a confidence score. Anything below the threshold you set is held for a person in the review interface, so exceptions are confirmed rather than retyped, and the validation rules run before any record reaches your system.

Can it run inside our own environment?

Yes. Alongside the cloud service, Data Geometry deploys into your own private cloud on AWS, Azure or GCP, and on-premise when you need to keep full control of the infrastructure.

Unlock Your Data Instantly with Sweent Data Geometry

AI-Powered Document Processing, 10X Faster

Tired of drowning in invoices, reports, and forms? Manual data entry is slow, costly, and error-prone.

Watch Demo Try the extractor

Sweent Data Geometry application interface showing document processing

100x

Faster than manual entry
99%+

Field-level accuracy
Under 30s

Processing time per document
90%+

Touchless processing

Introducing Sweent Data Geometry

Intelligent Document Processing, Powered by DAN AI

Sweent Data Geometry, powered by our advanced DAN (Data AI Ninja) engine, reads and understands your documents like a human, but 100x faster. Instantly extract critical information, validate data, and automate workflows – all without complex templates.

How Data Geometry Works: Beyond OCR

Data Geometry's core technology, DAN AI, goes beyond simple text recognition. It analyzes document structure and context, accurately extracting tables, key-value pairs, line items, and even handwritten notes with remarkable precision. See how it identifies and structures complex data in real-time.

99%+ Accuracy
Under 30s Processing
Handles Complex Layouts

Seamless Workflow with Data Geometry

Data Geometry integrates effortlessly into your existing systems. Upload documents via API, email, or app. Our DAN AI performs OCR and intelligent extraction. Over 90% of documents process straight through, while the rest undergo optional, rapid human review. Get structured data delivered directly to your ERP or CRM via API or CSV.

Diagram showing the data flow process using Sweent Data Geometry

Transform Your Back Office with Data Geometry

Eliminate bottlenecks and accelerate your operations. Data Geometry converts days of manual work into real-time processing, drastically reducing errors and costs associated with rework. Experience the future of document automation.

Comparison graphic showing the streamlined process steps after implementing Sweent Data Geometry

Unlock Tangible Results with Data Geometry

90%+ Touchless Processing: Free your team from manual entry with Data Geometry.
100x Faster Than Humans: Get insights in seconds, not days.
70% Efficiency Increase: Automate end-to-end workflows using Data Geometry.
99%+ Accuracy: Reduce costly errors and rework.
Rapid ROI: Significant cost reduction (~50-80%) with Data Geometry.

Data Geometry Solutions for Your Needs

Data Geometry adapts to various industries and use cases:

Invoice AI: Automate accounts payable.
FinSpread: Analyze financial statements instantly.
Utility Analytics: Standardize data from diverse bills.
CRE Underwriter: Streamline property analysis.
Insurance Compliance: Process Acord forms effortlessly.
Tax Spread: Extract data from any IRS form.
Identity & KYC: Accelerate verification processes.
Custom Models: Train DAN AI for your unique documents within Data Geometry.

Powered by Advanced DAN AI

No Template Hassle: Works instantly on any document format.
Self-Learning AI: DAN AI adapts and improves with your data.
Transparent Confidence Scores: Streamline QA and auditing.
Smart Validation Rules: Ensure data integrity automatically.
Intuitive Review Interface: Quickly handle exceptions.
Embedded Analytics: Gain insights directly from extracted data.

Data Geometry Handles Any Data Type

Data Supported by Data Geometry

Analysis / Transaction Reports
Tables
Key Value Pairs
Financial / Statistical Reports
Graphs & Symbols
Line Items
Handwritten Data

Watch Data Geometry Demo

Start Automating with Data Geometry in Minutes

1. Define: Tell Data Geometry what data to extract.
2. Upload: Send documents via API, email, or app.
3. Go: Get structured data back instantly.

Deploy Data Geometry Your Way

Deployment: Cloud SaaS: Get started immediately.
Private Cloud: Deploy on AWS, Azure, or GCP.
On-Premise: Maintain full control.
Setup time: Setup Time: ~15 Minutes
Commercial model: Flexible subscription options available.
Platform: Cross-platform
Requirements: Web browser, API integration capability
Version: 2.0

Sweent Data Geometry - Intelligent Extraction Demo

What this video shows

The video has no narration; upbeat music plays throughout. Short captions on screen name each step. In order, it shows:

An administrator creates a department and a user, then creates a project and assigns it to the department.
They set up the project’s folder structure and upload several PDF documents at once.
The software recognises a whole 108-page validation report in minutes.
Handwriting extraction: handwritten entries on scanned inspection checklists are read and highlighted field by field.
Symbol extraction: symbols on an engineering drawing are detected, and the drawing is switched to a vector-line view.
Graph extraction: the data points are read from charts such as a histogram, and the extracted data is shown again as new graphs and charts.
Image extraction: images such as a certificate are lifted out of a document.
Corrections: a reviewer double-clicks any recognised text to edit it, and fixes table rows or columns that were not recognised correctly.
Once the data is validated, it is written straight into a database from a predefined schema, and the generated database script is shown.
Finally, a table of all the extracted data and dashboards of charts built from it. The video ends on the Data Geometry logo.

Common questions

Do we have to train it on our documents first?

No. Data Geometry reads any document format on day one, with no templates to build or maintain. Training a custom model on your own documents is available when a format is unusual enough to need it, and it is an option rather than a prerequisite.
What happens when it is not confident?

Every extracted field carries a confidence score. Anything below the threshold you set is held for a person in the review interface, so exceptions are confirmed rather than retyped, and the validation rules run before any record reaches your system.
Can it run inside our own environment?

Yes. Alongside the cloud service, Data Geometry deploys into your own private cloud on AWS, Azure or GCP, and on-premise when you need to keep full control of the infrastructure.

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