Our work spans software, AI, data, edge systems and connected operations.
Each case focuses on the problem, architecture, constraints and resulting system—not just the technology stack.
Field conditions were read manually and irrigation decisions lagged the weather by a day or more, with no record of why a change was made.
Field sensors and edge inference feeding irrigation and crop-condition decisions, with an agronomist approving changes before they reach the field.
Incoming research material was classified by hand, inconsistently, and the backlog grew faster than the team could review it.
Research data pipelines with AI-assisted classification and structured review by the research team.
Routine handoffs between three applications were carried by email and re-keying, and exceptions had no owner until a customer complained.
Routine operational handoffs connected across applications, with exceptions routed to the people who own them.
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