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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of VT Docs Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Cherokee Federal Professional Services 5000 $1.6B United States VisibleThread VT Docs Intelligent Document Processing 2022 n/a In 2022 Cherokee Federal deployed VT Docs, an Intelligent Document Processing application, to streamline federal proposal workflows across its proposal, capture, and contracts teams. The U.S.-based government contracting organization signed a multi-year deal and expanded licenses to scale VT Docs across its proposal operations. VT Docs was configured to automate RFP shredding and to generate starter compliance matrices that accelerate requirements mapping for proposal responses. The implementation also used VT Docs readability and compare-doc workflows to improve document quality, standardize language, and support iterative review cycles across capture and proposal drafting. Functional capabilities emphasized automated extraction, compliance matrix generation, and side-by-side document comparison to reduce manual assembly of compliance artifacts. Operational rollout covered proposal, capture, and contracts business functions within Cherokee Federal, with licenses expanded to broaden use across the bid lifecycle. Governance changes focused on embedding VT Docs into standard proposal review and bid/no-bid decision workflows, improving cross-team collaboration and document handoffs. Outcomes included improved efficiency, enhanced productivity, and faster bid/no-bid decisions as the organization scaled VT Docs adoption.
King & Wood Mallesons Professional Services 3700 $920M Hong Kong VisibleThread VT Docs Intelligent Document Processing 2017 n/a In 2017, King & Wood Mallesons implemented VT Docs from VisibleThread under the Intelligent Document Processing category to accelerate contract review and legal research. The deployment targeted the firmwide Applied Legal Technology group and practicing lawyer teams in Australia as part of a broader digital transformation and training program. VT Docs was configured to support automated ingestion and indexing of contractual documents, clause and obligation identification, and automated compliance checks, capabilities aligned with Intelligent Document Processing solutions. The VT Docs implementation centralized contract analysis workflows and provided searchable document analytics to support legal research and risk review. Operational rollout included firmwide usage in Australia and incorporation into graduate bootcamps and ongoing training, enabling lawyers and Applied Legal Technology staff to adopt standardized review procedures. Governance changes emphasized workflow standardization and tool driven checks, embedding VT Docs into contract review and compliance workflows. The firm reports measurable time savings in contract analysis and reductions in manual review time, improving efficiency across contract review and legal research functions. King & Wood Mallesons uses VT Docs as its Intelligent Document Processing application to support these business functions in the Australian practice.
Leonardo DRS Aerospace and Defense 6600 $2.8B United States VisibleThread VT Docs Intelligent Document Processing 2024 n/a In 2024, Leonardo DRS deployed VT Docs for Intelligent Document Processing to automate handling of proposal and requirements content within its U.S. defense contracting operations. The implementation centers on shredding large proposal and requirements documents, building department-specific dictionaries, and generating requirement traceability matrices to support supply chain and quality-control teams. VT Docs at Leonardo DRS is configured around document parsing and classification, dictionary-driven entity extraction, and automated traceability matrix assembly, leveraging standard Intelligent Document Processing capabilities such as NLP-based parsing, metadata tagging, and rule-based normalization. These functional modules convert unstructured proposal artifacts into structured requirements and feed centralized review workflows, enabling consistent requirement capture and cross-functional verification. Operational coverage is focused on U.S.-based supply chain and quality-control departments, where VT Docs outputs are used in proposal review and requirements verification routines to improve accountability across cross-functional reviews. The deployment produced significant time savings and improved accountability as reported by Leonardo DRS, with department-specific dictionaries and traceability outputs supporting auditability and supply chain quality control.
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