Company patents
Maplebear Inc. (dba Instacart)
Maplebear Inc. (dba Instacart) surprisingly shows an overwhelming focus on Business Methods & Fintech, comprising 88.2% of its patent portfolio, with a significant surge in 2024 (YoY +69.8%) followed by a sharp decline in 2025 (YoY -92.5%), suggesting a highly dynamic and potentially shifting strategy in this core area. Despite a strong prior focus on computing technologies like Machine Learning & AI (25.0% of portfolio) and Computer Vision (YoY +600.0% in 2024), patenting activity across all computing categories has seen a dramatic decline in 2025 and so far in 2026, indicating a potential reprioritization away from 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.
204 US filings (since 2023) · 7 categories · 11 themes
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.
Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.
Systems and methods for uniquely identifying, tracking, and managing physical items using scannable codes (barcodes, QR codes) or wireless tags (RFID, IoT devices) to link physical objects to digital information, inventory, or services.
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.
Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.
Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.
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.
Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.
Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.
Patents
Showing 1-2 of 2
MLOps & Model Deployment