ARC Brings Enterprise-Scale Scanning and Digitization to Ai4 in Las Vegas
AI teams are constantly looking for new data sources. But not every valuable dataset needs to be created from scratch.
Books, engineering drawings, technical manuals, research archives, historical collections, and decades of organizational records may already contain information that could support enterprise search, analytics, retrieval-augmented generation, and other AI workflows.
The challenge is that much of this information remains locked in physical form.
Before physical collections can become searchable and usable in modern digital environments, they must be captured, organized, quality-checked, and delivered in formats that support the organization’s intended workflow. ARC Document Solutions helps organizations convert those collections through its AI Training Data Scanning services.
The Next AI Dataset May Already Be in Your Organization
Publicly available digital information is only one part of the data landscape. Organizations may also possess proprietary knowledge that cannot be found online, including technical documentation, engineering drawings, books, historical archives, scientific materials, manuals, and operational records.
These materials may contain decades of institutional knowledge. Once digitized and structured, they can become more accessible to the teams responsible for search, analysis, automation, and AI initiatives.
The opportunity is not simply to create more data. It is to make valuable existing information accessible in a way that supports modern digital workflows.
Enterprise-Scale Digitization Requires More Than a Scanner
Large digitization programs require coordinated processes, specialized equipment, quality control, and the capacity to handle different document types. ARC’s global infrastructure currently supports approximately:
- Five million images captured each day
- Two million books processed each month
- 140 global service centers
ARC’s high-volume scanning and digitization capabilities support projects involving books, technical manuals, drawings, archives, and other large collections.
Two Complementary Scanning Technologies at Ai4
At Ai4 in Las Vegas, ARC will demonstrate two complementary scanning technologies at Booth #609.
High-Speed Scanning
ARC’s high-speed scanning technology is capable of capturing approximately 300 images per minute. This type of throughput can support projects involving large volumes of loose pages and other materials suited to rapid capture.
Robotic Book Scanning
ARC’s robotic scanning technology is capable of digitizing books without damaging the original publications. This approach is designed for bound materials where careful handling is important, demonstrating how organizations can access valuable information while preserving the original material.
Together, the two systems show how different scanning approaches can support different document types, conditions, and project requirements.
From Physical Collection to AI-Ready Digital Asset
Digitization is a process rather than a single step. A typical project may include:
- Preparing and capturing the physical material
- Creating high-quality digital images
- Applying OCR where searchable text is required
- Preserving document structure, annotations, and context
- Assigning metadata and classifications
- Reviewing output against agreed quality requirements
- Delivering organized files and data to the intended environment
Depending on project requirements, OCR technology for AI training can help convert scanned images into searchable, machine-readable content while preserving important document context.
ARC’s intelligent data indexing services can help organize files, metadata, classifications, and other information needed for search and downstream AI workflows.
Why Physical Information Matters to AI Teams
Organizations may already own information that could provide valuable context for their AI initiatives. Physical collections can include proprietary operational knowledge, specialized technical information, historical records unavailable online, industry-specific research, and institutional knowledge accumulated over decades.
Making those materials accessible can help organizations build more complete information environments. It can also support teams working on enterprise search, analytics, document intelligence, retrieval-augmented generation, and other data-intensive applications.
For sensitive collections, ARC also provides secure and compliant AI data scanning services designed around controlled handling, secure transport, access controls, documented procedures, and project-specific requirements.
See ARC at Ai4
ARC will be exhibiting at Ai4 from August 4–6, 2026, at The Venetian in Las Vegas.
Visitors to Booth #609 can see robotic and high-speed scanning technology operating live and learn how physical collections can be transformed into digital assets for modern data workflows.
ARC President and COO Dilo Wijesuriya will also be available during the conference for interviews, executive briefings, podcast appearances, and private demonstrations.
To learn more about ARC’s AI data scanning capabilities or request a meeting during Ai4, contact ARC’s marketing team.
Frequently Asked Questions
What types of materials can ARC digitize for AI workflows?
ARC can work with books, technical documents, engineering drawings, archives, manuals, historical collections, research materials, and other physical information, depending on project requirements.
Does ARC provide more than image scanning?
Depending on the project, workflows may include OCR, metadata, indexing, classification, quality review, and delivery into an agreed digital environment.
Can ARC digitize books without damaging them?
ARC’s robotic scanning technology is capable of digitizing books without damaging the original publications.
How much material can ARC process?
ARC captures approximately five million images each day, processes approximately two million books each month, and operates through 140 global service centers.
How can organizations begin an AI data scanning project?
Organizations can begin by defining the collection, document types, intended use, security requirements, output format, and desired delivery environment. ARC can then help determine an appropriate scanning and data-conversion workflow.