Company patents
Ava Labs, Inc.
Ava Labs, Inc. demonstrates a strong and sustained focus on core blockchain infrastructure, with Cryptographic Mechanisms (57.0% of portfolio) and Business Methods & Fintech (54.4% of portfolio) dominating its patent strategy. While patenting in most categories saw explosive growth in 2025, such as Databases & Information Retrieval (YoY +400.0%) and Operating Systems & Program Control (YoY +350.0%), the significant year-over-year declines observed so far in 2026 across many top categories, including Cryptographic Mechanisms (YoY -50.0%) and Business Methods & Fintech (YoY -55.0%), suggest a potential shift in patenting pace or strategy after a period of rapid expansion.
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.
79 US filings (since 2023) · 9 categories · 8 themes
Focuses on using distributed ledger technology (DLT) like blockchain to secure financial transactions, manage digital identities, or ensure data integrity and traceability across various applications.
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.
Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.
Techniques for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.
Mechanisms to facilitate the secure exchange of data between different entities or systems while enforcing usage policies, managing digital content rights, and ensuring data consistency during replication or transfer.
Applying artificial intelligence and machine learning techniques to enhance cryptographic systems, such as generating encryption models, improving zero-trust architectures, or enabling privacy-preserving computations like federated learning.
Techniques for distributing computational tasks, data storage, and service logic across cloud data centers, edge devices, and user equipment to improve performance, resilience, or resource utilization. This includes architectures for split rendering, decentralized ledgers, and microservices.
Technologies enabling the creation and management of virtual computing environments, including virtual machines and virtual desktops, with an emphasis on secure and efficient remote access, updates, and performance.
Patents
Showing 1-2 of 2
Distributed Cloud/Edge Processing