Comparing IDP vendors in 2025? Start with the winners.
See how Infrrd stacks up against industry giants and why we took home the Innovator of the Year award.
See how Infrrd stacks up against industry giants and why we took home the Innovator of the Year award.
Automate Data Capture from Engineering Drawings
Improve cost efficiency by making accurate engineering drawing data available across teams
Chosen And Trusted By
Lesser Assembly Errors and Scrap Rates
Human data errors contribute to higher scrap rates, wasting materials, and increasing costs
Faster Prototyping
Test new designs and prototypes and analyze results faster with data automation
Avoid Non-Compliance Penalties
Automate document data to eliminate potential gaps and outdated information
Effective Maintenance
Use historical data and trends to predict maintenance needs and prevent failures
Hyperspeed RFQ Process
Send in accurate estimations within minutes winning more business
Better QA for Product Reputation
Empower QA teams to accurately check tolerances and other component dimensions
Discover How Our Platform Reads & Interprets Any Technical Drawing
Watch how our image detection IDP platform extracts data from engineering drawings. They’re complex, with a mix of text and images. Yet we’ve got them covered!
Supports all types of technical engineering drawings
Technical Diagrams to PMI in Minutes
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Piping and Instrumentation Diagram (P&ID)
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Part Drawings (Detailed Drawing)
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Tolerance and Fit Drawings
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Injection Molding Diagram
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Casting Diagram
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Welding Diagram
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Machine Diagram
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Sectional Diagram
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Assembly Instruction Diagram
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Sheet Metal Diagram
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Auto-Detect Components
Captures readings accurately and maps them to the component
Intelligent Object Detection
Easy-to-train models that detect custom objects, shapes, and components
Better-than-Human Accuracy
Achieve up to 100% accuracy even for the most complex diagrams
Customer Success Story
How Our Clients Benefited from Intelligent Automation
Problem Statement
The manual extraction of data from complex RFP documents, including panel schedules and engineering drawings, led to inefficiencies, inaccuracies, and delays, which impacted the client’s overall performance and response time.
Challenges Faced
The client faced difficulties handling large volumes of 200-page RFP documents, managing inconsistencies in symbol recognition, and ensuring accurate data extraction from varied text and diagram layouts, which slowed down the RFP response process.
Results
Increased RFP response rate, 90% data accuracy, processing time reduced to minutes.
200
Pages within Few Minutes
>90%
Data Accuracy
Ultra-fast RFP Response
Read more
Automating the Workflow of RFP
Ebook
How to Use AI for Component Manufacturing
Guide
Better Workflows at a Lower Cost!
Maximize your ROI by lowering manufacturing costs and improving quality with advanced IDP for image detection. Don’t work hard, work smart with Infrrd!
Money Slips Through Cracks in Data
Manufacturers and construction companies often have thousands of engineering diagrams and drawings that hold all the information useful for different teams within the company: R&D, production, quality assurance, design, maintenance, inventory, and sales.
The key to cost efficiency in each process is the accuracy and speed at which the engineering diagram data is available to the engineers across teams.
See the strongest ROI by implementing Infrrd IDP and streamlining your operations.
Sign up for a live demo today.
The key to cost efficiency in each process is the accuracy and speed at which the engineering diagram data is available to the engineers across teams.
See the strongest ROI by implementing Infrrd IDP and streamlining your operations.
Sign up for a live demo today.
4.2 out of 5
4.5 out of 5
Recognition
Leader
Leader in IDC MarketScape 2023
Featured In
10 Gartner’s IDP Research including hype cycle reports 2023
Leader
Leader in ISG Provider Lens™ (IPL) Quadrant study 2023
Star Performer
Star Performer in Everest Group’s PEAK Matrix® for the fourth consecutive year
Leader
Recognized as a Leader in Zinnov Zones 2024
