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DataSeer

DataSeer offers cloud-based software that employs optical character recognition and machine learning to extract and digitize information from diagrams and documents. This technology improves data accessibility and minimizes manual entry errors, enhancing workflow efficiency for businesses reliant on extensive documentation.

Houston, United StatesFounded 20211700+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Industrial facilities rely on diagrams and datasheets, but the information within these documents is often unstructured and difficult to access. Manual data extraction from these sources is time-consuming, error-prone, and hinders efficient workflows across various use cases.

Solution

DataSeer offers an AI-powered platform that automates the extraction and digitization of data from engineering diagrams and datasheets. By leveraging optical character recognition (OCR), machine learning, and computer vision, DataSeer converts unstructured data trapped in 2D images into a structured, digital format. This enables users to create a digital twin database with API access, facilitating rapid project turnaround, automated change management tracking, and reduced risks associated with integrating legacy and greenfield processes. The platform helps teams leverage unstructured data in a digitized format, improving data accessibility and minimizing manual entry errors.

Target Audience

DataSeer targets engineering, procurement, and construction (EPC) companies, owner-operators, and engineering service providers in industries such as oil & gas, manufacturing, and recycling who need to extract data from industrial diagrams for various use cases, including capital projects, cost estimation, asset integrity management, and operator training.

Features

  • AI-powered extraction of data from P&IDs, mechanical equipment schematics, plot plant layouts, process flow diagrams, and electrical single line diagrams
  • Automated digitization of unstructured data on 2D images into structured formats like CSV
  • Revisioning function to visually identify differences between drawing versions
  • API integrations into data pipelines and applications for scalable data extraction
  • Ability to extract tabular data such as equipment lists, bills of materials, and datasheets
  • Coordinate location data for extracted symbols, enabling mapping on top of original drawings
  • Customizable P&ID symbol library
  • Project collaboration roles for seamless teamwork
This profile is AI-generated and may contain inaccuracies.