Company patents

Coupa Software Incorporated

Coupa Software Incorporated's patent strategy is heavily concentrated in Business Methods & Fintech, accounting for 74.2% of its portfolio, which saw a significant 52.9% YoY growth in 2024 before a decline in 2025 and so far in 2026. While categories like Machine Learning & AI and Computer Vision showed rapid growth in 2024 (150.0% and 100.0% YoY respectively), their patenting activity has since decreased, suggesting a potential shift in focus or a more selective approach to patenting in these areas.

Patent Trend by Technology Area

Yearly patent publications since 2023

Product themes

Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.

97 US filings (since 2023) · 12 categories · 10 themes

Automated Transaction Systems

Systems designed to streamline and automate various commercial transactions, including mobile-enhanced processes, secure online checkouts, customer service interactions, and privilege issuance, often leveraging digital authentication.

Business Methods & Fintech
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26since 2023
-30.0%YoY
Intelligent Decision Support

Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.

Databases & Information Retrieval
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23since 2023
+16.7%YoY
Personalized Recommendations

Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.

Business Methods & Fintech
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12since 2023
-60.0%YoY
Document & Information Extraction

Methods and systems for identifying, extracting, and structuring specific entities, relationships, or insights from text-based documents, often involving techniques like named entity recognition, relation extraction, or summarization.

Natural Language Processing
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9since 2023
-33.3%YoY
ML-driven Decision Support

Application of machine learning models to process complex data and generate actionable insights, predictions, or classifications that inform or automate decision-making processes in various domains like healthcare, business, or industrial control.

Pattern Recognition & ML Models
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9since 2023
-60.0%YoY
Predictive System Health

Techniques for monitoring system components and behaviors to anticipate failures, performance degradation, or anomalies, often leveraging machine learning for pattern recognition and forecasting.

System Reliability & Diagnostics
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5since 2023
-50.0%YoY
System Resource & Power Optimization

Methods and systems for efficiently allocating computing resources, balancing workloads, and managing power states to improve performance, reduce energy consumption, or enhance reliability in computing platforms.

Operating Systems & Program Control
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3since 2023
n/a
Specialized Data Integration

Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.

Databases & Information Retrieval
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2since 2023
n/a
Digital Asset Managementfiltered

Technologies for securing, managing, and transacting with virtual currencies, non-fungible tokens (NFTs), and other blockchain-based digital assets, including hardware wallets and tokenization schemes for various purposes.

Business Methods & Fintech
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1since 2023
n/a
Wearable & Mobile Interaction

Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.

Input/Output & User Interfaces
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1since 2023
n/a

Patents

Showing 1-1 of 1

Digital Asset Management
Page 1 of 1
US 20230368200 A1APPLICATION
G06Q20/40

SYSTEMS AND METHODS FOR GENERATING VIRTUAL PAYMENT OBJECTS FOR PREAPPROVED EXPENSES

Filed:2023-05-10Pub:2023-11-16
Applicant:Coupa Software Incorporated

A virtual compute instance that is communicatively coupled to a storage device comprising a database. In an embodiment, a method queries an expense pre-approval application to obtain a set of expense documents from a first computer associated with a first account that is digitally linked to a credit line account and receives the set of expense documents. The expense pre-approval application may be one of a plurality of federated applications hosted using a multi-tenant distributed computing system that comprises the virtual compute instance. The method determines expense data comprising a type of expense document, time of spend, kind of expense, and a plurality of expense charges, for each document in the set of expense documents. Based on the type of document of each expense document in the set of expense documents, the method identifies a payment gateway among a plurality of payment gateways. Each payment gateway executes a plurality of programmatic payment rails that the first account can access. Using the payment gateway, preapproved expense charges are evaluated based on the expense data. The method includes creating and storing in the database, a plurality of expense payment objects associated with the preapproved expense charges when a first account database table associated with the credit line account of the first account matches with a second account database table of the payment gateway, and automatically applying the plurality of expense payment objects to reduce account balances of one or more preapproved spending amounts.