Where AI and Industrial Diagrams Meet
DataSeer uses AI to automatically detect, label and extract information from engineering diagrams, lists & reports.
Analyze and extract the data you need from Diagrams - in minutes.
DataSeer’s search function is up to 100 times faster than manual searches. Get more accurate and consistent results faster using the latest advances in AI. DataSeer automates the extraction of industrial symbols, lines, tables & text into easy-to-use, standard output formats that fit into your existing workflows.
DataSeer, built by and for engineers.
DataSeer was built in close collaboration with users at some of the largest engineering firms in the world, who we are proud to call our customers. The system is powered by Artificial Intelligence and continuously trained on tens of thousands of diagrams to automatically recognize the most common symbols in seconds. With detection errors of <1% and an intuitive verification workflow, DataSeer significantly improves quality control and quality assurance of data extraction at scale.
Rapidly identify & categorize symbols and associate them to lines and text labels using Computer Vision and Machine Learning
Review & approve automatic results via an intuitive user interface, run customized searches and share projects with collaborators
Search and find any text across hundreds of diagrams in seconds, including extraction of tables and forms to editable formats
Transforming the use of Industrial Drawings
We help teams do
their best work.
With DataSeer, your team can focus on what matters most. DataSeer dramatically decreases time spent staring at industrial diagrams and manually extracting information, with many users reporting 90%+ time savings in their project work compared to previous processes.
DataSeer in Action
Locate symbols & text
DataSeer automatically detects and identifies all instances of relevant symbols and associated text. Custom symbols, text and associations are quickly searchable and added into the extraction.
Estimate costs for fabrication & construction
DataSeer delivers a drastic decrease in time spent extracting objects, lines and tables as part of material take offs in the estimation process. Our customers deliver more competitive bids in faster time.
Create line, valve & instrument lists
DataSeer allows for easy export of symbol & line counts and categories into standardized CSV format for quick incorporation into your existing workflows.
Accelerate QA & QC
As part of a QA/QC process, line lists, instrument indexes and valve schedules can be quickly extracted from client deliverables for comparison to specifications before issuing documents.
Extract table, forms & lists
Protect security & privacy
CASE STUDY
Enhanced Data Extraction from Industrial Drawings
INDUSTRY
EPC
LOCATION
World Wide
BUSINESS
EPC
Challenge
Improve accuracy and processing time
Solution
A machine learning application effectively extracting info from P&IDs & other drawings via deep learning and computer vision techniques
Results
Using DataSeer, the EPC firm expects to reduce their process time in identifying material counts by 90% and accuracy errors to less than 1%
A large EPC wanted to improve accuracy and reduce the time its workforce spent working with engineering drawings in order to optimize its cost-estimation process. Improper cost estimation throughout the industry leads to cost overrun, delayed schedules, scope-creep, and many other project-related failures. A proper estimate minimizes overall risk, promotes good work practices, and ensures a greater level of customer satisfaction.
To tackle this problem, we developed a machine learning application that effectively extracts information from Piping & Instrumentation diagrams (P&IDs) and other engineering drawings by leveraging deep learning models along with the computer vision techniques. The product, DataSeer, automatically detects and identifies all instances of relevant symbols and associated text. This is done in a rotation and scale-invariant way, across diagrams of different styles and thus reduce fatigue-induced human error as well as overall processing time. Through its human-guided search-and-review feature, the customer’s user can provide symbol examples or text patterns for search, while allowing for as much human inspection time as needed.
Compared to a 100% manual approach of information extraction by a process engineer, DataSeer reduces the time taken to extract line numbers by more than 90% and valves and instruments by more than 70%. The performance varies depending on diagram complexity. The machine learning system also allows the customer’s process engineers to extract information from diagram raw images with up to 90% reduction in total processing time. Our customer now uses DataSeer in brownfield engineering projects or during bid phases where P&ID diagrams are typically not available in CAD source formats.
Using DataSeer the EPC firm expects to reduce their process time in identifying material counts by 90% and accuracy errors to less than 1%. This increased efficiency and accuracy will result in lower direct costs for producing bids. Additionally, the increased accuracy and reduced time to develop a bid mitigates the inherent risk in the bid amount, especially when lump-sum pricing is needed. Improving confidence in the estimates empowers the company to make more effective bids and ultimately be awarded more projects.