VELOAT connects documents, CAD drawings and BIM data to support construction and engineering reviews

Recognition follows North American market outreach at Autodesk University 2026 as Searchdoc expands internationally

SEOUL, South Korea, Nov. 13, 2026 /PRNewswire/ — Searchdoc, an AI startup specializing in large-scale industrial data, today announced that VELOAT, its AI platform for integrated drawing and building information modeling (BIM) analysis, has been named a CES 2027 Innovation Awards^® Honoree in the Enterprise Tech category.

VELOAT is an enterprise AI platform that connects and analyzes contracts, technical specifications, 2D computer-aided design (CAD) drawings and 3D BIM data for the Architecture, Engineering and Construction. The platform retrieves supporting evidence across different data formats and cross-checks documented requirements against actual designs to support review workflows.

Organized by the Consumer Technology Association (CTA)^®, the CES Innovation Awards program evaluates products on engineering and functionality, design, and innovation. The Enterprise Tech category encompasses technologies that help businesses improve productivity and operational efficiency. Searchdoc is pursuing international growth with VELOAT, leveraging its AI-native technology to search and analyze complex industrial data, ensure data consistency, identify and resolve errors, and significantly improve operational productivity.

Construction teams must routinely review multiple documents and drawings and BIM to determine whether a design meets client requirements and regulatory obligations. Changes to contract terms or designs add another layer of complexity, requiring teams to revisit the latest requirements and assess their implications. VELOAT connects previously fragmented documentation and design information to support these recurring reviews.

VELOAT goes beyond summarizing documents or locating individual objects in drawings. It structures clauses and tables in contracts and specifications, then connects them with geometry and attribute data from drawings and BIM models to identify the requirements applicable to each design element. Users can ask questions in natural language to retrieve relevant information and review potential conflicts or omissions between requirements and designs.

Traceability is central to VELOAT. The platform links review findings to source documents and specific clauses, enabling users to verify AI-generated responses and use the evidence to inform subsequent decisions. It also compares the meaning and impact of document revisions and helps draft review checklists and reports, connecting information retrieval with the preparation of review deliverables.

VELOAT consolidates fragmented enterprise data into a unified knowledge base, enabling organizations to capture and preserve institutional know-how and tacit knowledge accumulated through engineering decisions and project workflows. This knowledge can then be searched, shared, and reused across teams and future projects, enhancing organizational efficiency and productivity.

Searchdoc offers deployment options for VELOAT tailored to each customer’s security and operational requirements. Alongside cloud-based services, these include dedicated customer environments and on-premises deployments, with configurations that accommodate organizational access controls and data export policies.

The company is already supplying its solution to major South Korean construction companies. In September, Searchdoc demonstrated its integrated document and drawing analysis technology at Autodesk University (AU) 2026 in Las Vegas. It also discussed potential U.S. proof-of-concept (PoC) projects with construction and manufacturing companies, building a foundation for its North American business.

Building on its experience in Architecture, engineering and Construction, Searchdoc plans to expand VELOAT’s applications into other industries that work with complex technical documentation and design information, including semiconductors, manufacturing and shipbuilding. Its longer-term technology roadmap extends beyond review and reporting toward design automation.

“AI for industrial work must do more than produce plausible answers. It must find the evidence people need to make decisions across complex documents and designs,” said Joonsun Baek, CEO of Searchdoc. “Building on the global demand we saw at AU and this recognition, we will further develop our technology for understanding documents, CAD drawings and BIM data together, while expanding collaboration with customers worldwide”

About Searchdoc

Founded in March 2025 by engineers with experience at AWS, NAVER and Samsung, Searchdoc is an AI startup specializing in search and analysis of large-scale industrial data. Its domain intelligence platform connects fragmented enterprise information—including contracts, technical specifications, drawings and BIM data—into a unified workflow. By structuring clauses, tables, drawing objects and their cross-references, while tracking industry-specific terminology and revision histories, Searchdoc delivers AI-powered search with verifiable supporting evidence.

In January 2026, Searchdoc raised $750,000 in seed funding from Asia2G and FuturePlay. It subsequently secured an additional around $3M through the Korea Credit Guarantee Fund’s innovative startup growth support program, bringing its total funding and financing to approximately around $4M. Starting with the engineering, procurement and construction (EPC) sector, Searchdoc has signed commercial contracts with large enterprises and is delivering its services, with plans to expand into retail, financial services and pharmaceuticals. For more information, visit https://searchdoc.ai/.

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SOURCE Searchdoc