Technologies / Code / models / infrastructure
Software, AI & data systems
Technical detail across source code, deployed systems, model workflows, and information processing.
← All technologies
Understand the system before defining the position.
Software analysis benefits from a view of both the described architecture and the code or artifacts that implement it. The work can connect data flow, control flow, interfaces, and dependencies to the patent question under review.
Representative subject matter
- Software architectures and APIs
- AI and machine-learning workflows
- Android applications and reverse engineering
- Distributed and cloud systems
- Data processing and analytics
Questions that shape the analysis
- What transforms the data, and where does that transformation occur?
- Which implementation details distinguish the disclosed approach?
- Can the asserted behavior be reproduced from the available artifacts?
Specific subject-matter fit and the work required are evaluated before an engagement is accepted.