List of Google Cloud Document AI Customers
Google
1600 Amphitheatre Pkwy,
Mountain View, 94043, CA,
United States
Mountain View, 94043, CA,
United States
1 650-253-0000
Communications
1700
$425M
Since 2010, our global team of researchers has been studying Google Cloud Document AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud Document AI for Content Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud Document AI for Content Management include: SM Supermalls, a Philippines based Construction and Real Estate organisation with 7700 employees and revenues of $1.02 billion, European Medicines Agency, a Netherlands based Government organisation with 1013 employees and revenues of $599.0 million, Covered California, a United States based Insurance organisation with 1373 employees and revenues of $321.0 million, Senex Energy, a Australia based Oil, Gas and Chemicals organisation with 250 employees and revenues of $150.0 million, Banesco USA, a United States based Banking and Financial Services organisation with 300 employees and revenues of $43.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Document AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Google Cloud Document AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Banesco USA | Banking and Financial Services | 300 | $43M | United States | Google Cloud Document AI | Content Management | 2025 | n/a |
In 2025, Banesco USA implemented Google Cloud Document AI to accelerate credit memo processing. Google Cloud Document AI was deployed as a Content Management solution to automate document ingestion and structured data extraction for credit memo workflows in the bank's finance organization.
The implementation configured Google Cloud Document AI to perform optical character recognition, form parsing, entity extraction, and confidence scoring to convert unstructured invoices and related correspondence into structured records. Google Cloud Document AI capabilities were used to populate credit memo fields, standardize metadata, and generate draft credit memos for downstream review.
Operational scope focused on finance and credit operations, where a phased rollout validated extraction accuracy and established annotation standards and governance for document handling. The project introduced automated routing of draft credit memos, centralized audit trails for extracted data elements, and role based review steps to maintain control while reducing manual processing.
According to the customer narrative, the deployment cut credit memo creation time from a week to minutes by automating data capture and initial validation. Embedding Google Cloud Document AI into credit memo workflows reduced manual entry and accelerated a core accounts receivable function at Banesco USA.
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Charter Auctions | Professional Services | 30 | $4M | United Kingdom | Google Cloud Document AI | Content Management | 2024 | n/a |
In 2024, Charter Auctions implemented Google Cloud Document AI as part of a Content Management initiative to automate invoice processing and reduce a growing administrative burden. Charter Auctions implemented Google Cloud Document AI for Content Management to target accounts payable workflows at the 30-person professional services firm, pairing cloud document intelligence with a broader AI orchestration strategy.
The technical implementation centers on an AI invoice processing agent that handles document ingestion, OCR-driven data extraction, structured header and line item parsing, and configurable property mapping. V7 Go was used as the AI platform for agent orchestration and for exposing flexible property-level configuration, enabling the team to define custom fields and behaviors for different invoice formats.
Operational coverage focused on finance and administrative functions, removing repetitive data entry and routing structured outputs into downstream workflows used by the small UK-based team. The rollout approach has been iterative, beginning with core invoice types and expanding to handle additional edge cases and document variants as models and property mappings are refined.
Governance was structured around collaborative engineering with the Solutions Engineering team, an iterative feedback loop for edge case handling, and a manual review gate for exceptions. Charter Auctions is targeting 95% automation for invoice processing with 5% of cases escalated to manual intervention, and leadership intends to extend the same Content Management and AI orchestration approach to customer liaison and broader workflow automation over time.
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Covered California | Insurance | 1373 | $321M | United States | Google Cloud Document AI | Content Management | 2023 | Deloitte |
In 2023, Covered California ran a Deloitte-assisted pilot of Google Cloud Document AI to automate eligibility document verification. Covered California used Google Cloud Document AI for Content Management in a government and healthcare eligibility context serving California, United States.
The pilot configured document ingestion pipelines, OCR, entity extraction, and rule-based validation workflows within Google Cloud Document AI, focusing on automated verification of submitted eligibility documents. The implementation emphasized structured data extraction and validation gates to surface verified records for downstream enrollment processing.
Deloitte supported deployment and operational testing, and the solution operated as a validation layer embedded in eligibility verification workflows with exceptions routed to human reviewers. The pilot achieved an average 84% automated validation rate and demonstrated capacity to verify approximately 50,000 documents per month.
Following the pilot, Covered California planned a phased full launch in June 2024 to speed enrollments and reduce manual verification work, with governance organized around exception handling, phased rollout to eligibility operations, and scaling of automated extraction and validation capabilities.
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European Medicines Agency | Government | 1013 | $599M | Netherlands | Google Cloud Document AI | Content Management | 2025 | n/a |
In 2025, the European Medicines Agency implemented Google Cloud Document AI for Content Management. The deployment centralized document intake for regulatory submissions, clinical study dossiers, and committee materials into a searchable, structured content repository to support regulatory review workflows.
Google Cloud Document AI was configured for document ingestion, optical character recognition, entity extraction, automated classification, and metadata tagging to enable structured review workflows. Custom parsers and extraction pipelines were applied to normalize clinical endpoints, study identifiers, and regulatory references, and to populate indexed fields for downstream assessment and retrieval.
The solution was provisioned as a cloud native service within the agency's Google Cloud environment, with role based access controls, audit logging, and encryption controls aligned to regulatory compliance needs. Operational coverage targeted regulatory review teams, clinical assessment committees, and dossier management functions across the agency, with APIs exposed for programmatic retrieval and export to internal case management processes.
EMA's committee accepted AIM-NASH for use in clinical trials in 2025, increasing the demand for consistent, machine readable documentation to support evidence review and AI tool validation. Google Cloud Document AI was positioned to support that need by automating structured data capture and classification for Content Management, enabling reviewers to surface relevant trial evidence with maintained traceability and governance.
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Senex Energy | Oil, Gas and Chemicals | 250 | $150M | Australia | Google Cloud Document AI | Content Management | 2023 | Cognizant |
In 2023 Senex Energy implemented Google Cloud Document AI as a Content Management solution to unlock operational data across its Australian oil and gas operations. The deployment targeted extraction of structured data from handwritten field notes, geologic maps and PDF reports to improve inputs for well design, predictive maintenance and safety trend analysis.
Google Cloud Document AI was configured to perform document OCR, entity extraction and document parsing, and it was used together with Google Vision AI to handle complex image and handwriting recognition. Extracted records were normalized and staged for analytics, with Google Cloud Document AI feeding downstream machine learning models and analytics pipelines hosted in BigQuery.
Integrations included direct ingestion into BigQuery for analytics and model training, and a combined Document AI and Vision AI processing flow for mixed text and image sources. The implementation was delivered in partnership with Servian and involved Cognizant as an SI/VAR, focused on operational data pipelines and analytics readiness within production and engineering teams in Australia, with value delivered in six months.
Operational governance changes standardized document ingestion workflows and redefined data handoff to analytics and ML teams to ensure consistent downstream model inputs. Outcomes reported include improved production insights driven by Google Cloud Document AI feeding analytics in BigQuery, supporting well design decisions, maintenance planning and safety trend analysis.
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Construction and Real Estate | 7700 | $1.0B | Philippines | Google Cloud Document AI | Content Management | 2022 | Senti AI |
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Buyer Intent: Companies Evaluating Google Cloud Document AI
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Google Cloud Document AI. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Google Cloud Document AI for Content Management include:
- Whitley Penn, a United States based Professional Services organization with 70 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Whitley Penn | Professional Services | 70 | $7M | United States | 2025-12-03 |
FAQ - APPS RUN THE WORLD Google Cloud Document AI Coverage
Google Cloud Document AI is a Content Management solution from Google.
Companies worldwide use Google Cloud Document AI, from small firms to large enterprises across 21+ industries.
Organizations such as SM Supermalls, European Medicines Agency, Covered California, Senex Energy and Banesco USA are recorded users of
Google Cloud Document AI for Content Management.
Companies using Google Cloud Document AI are most concentrated in Construction and Real Estate, Government and Insurance, with adoption spanning over 21 industries.
Companies using Google Cloud Document AI are most concentrated in Philippines, Netherlands and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Google Cloud Document AI across Americas, EMEA, and APAC.
Companies using Google Cloud Document AI range from small businesses with 0-100 employees - 16.67%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 0%.
Customers of Google Cloud Document AI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Google Cloud Document AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Content Management.