We believe the full potential of AI and machine learning should show up in the way businesses actually work: in better tools, clearer information, and more capable teams.
New technology can open extraordinary possibilities. Choosing what is useful—and making it work in real life—takes context, care, and engineering. That is the work we are here to do.
Our founders bring backgrounds in research, machine learning, and enterprise software engineering to WAIV’s client work.
Co-founder · Research & applied machine learning
Joshua’s professional background includes research and development leadership in advanced photonics and technologies enabled by machine learning. His work spans developing analytics pipelines, orchestrating data across multiple inputs, and applying machine learning to make large datasets usable. He brings experience taking technical capabilities from concept through deployment and holds a degree in Optics and Photonics Engineering.
Co-founder · Software engineering & machine learning
Eduardo brings hands-on experience implementing machine learning alongside enterprise software engineering. His background spans production payment APIs, transaction-data streaming, security remediation, and fraud-related services. He focuses on connecting machine learning capabilities with the software and integrations that make them useful in everyday business operations.
Experience shown reflects the founders’ individual professional backgrounds.
We ask questions before prescribing technology. We make the proposed scope understandable. We surface the limits of a system alongside its possibilities.
Whether the right first step is one focused project or an ongoing partnership, our aim is the same: useful capability that belongs in your business.
See how we workBring us the work that slows you down. We’ll explore what a better way could look like.
