Analyze and extract the data you need from Diagrams & Datasheets

An international industrial software company wanted to accelerate the manual extraction of asset models from PDF drawings and fed & integrated into their Operator Training Simulation (OTS) software. This data model setup is a prerequisite to software use and throttles the onboarding of more customers & users.

DataSeer digitizes unstructured data on a 2D flat image to a structured format like CSV for export. API integrations into data pipelines or application also make large-scale data extraction scalable.

Automation of manual data model extraction means higher margins on each customer and more customers onboarded, leading to more sales revenue.

A recycling operator wanted to track revisions between PDF drawings during retrofitting of pre-owned process facilities that they purchased. Errors in MTO data make change management challenging and delay the entire retrofitting process.

DataSeer’s revisioning function shows visual differences between drawing versions. Data diffs can also be conducted on exported CSV data snapshots. 

With 90+% efficiency gains in work throughput, the operator now has more effective and efficient change management processes in place.

An engineering data management solutions provider needed to overlay 2D P&ID data on top of their asset-centric data warehouse to enhance an existing customer solution so their users could get detailed context in an interactive way. Building this additional functionality from scratch in-house required significant investment & time.

DataSeer offered them a way to quickly digitize unstructured data on a 2D image into a structured format like CSV for export out of the tool. Coordinate location data for extracted symbols are also included in the data export, which — when combined with current tools — allowed for the mapping to be altered on top of original drawings.

The software solutions provider was able to increase the breadth & diversity of their data product offerings to users, creating a new revenue source with a reduction in cost and faster turnaround time.

An EPC wanted to identify outdated data in the master asset registry since discrepancies between what’s in the field vs in the the database leads to more rework and iteration in inspection and operations & maintenance activities. Data in the data registry does not always get updated to reflect upgrades and maintenance that’s occurred in the field.

DataSeer digitizes unstructured data on a 2D image to a structured format like CSV, allowing for exported data to be imported into a database, data lake or another software platform. The EPC’s global teams were able to collaborate on projects seamlessly, thanks to project collaboration roles available in the tool.

Beyond realizing 60-80% process efficiency gains using the tool, the EPC also was able to conduct more effective & accurate inspection, NDT, maintenance & information management.

A large international 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 leads to cost overrun, delayed schedules and scope-creep. Low win rates on lump sum project bids may also occur due to contingencies added with uncertain estimates.

Using DataSeer, the estimation team extracted information (counts, attributes, connectivity) about valves, instruments and line numbers from P&ID images in brownfield engineering projects or during bid phases, where CAD source formats are not available. Beyond P&IDs, the team also processed PDFs of mechanical equipment schematics, plot plant layouts, process flow diagrams & electrical single line diagrams.

The tool reduced effort from weeks to a few days, with 85+% efficiency gains typical. This results in not only higher margins from profitable projects but also higher bid win rates.

A Canadian engineering services provider had to conduct a risk assessment on piping & equipment as part of an operator’s Risk-Based Inspection (RBI) program in order to understand existing operational health of facilities at the equipment level and piping level.

They extracted operating conditions such as temperature & pressure from fixed equipment and piping line numbers from 109 P&IDs containing 230 equipment and 817 line numbers using DataSeer’s symbol & text extraction and line association functionalities.

Total time taken to extract operating conditions of equipment & piping was reduced by 44% using DataSeer compared to manual data extraction that took 7 hours.