Less repetitive work.
More forward motion.
Connect the steps between inboxes, documents, and business tools. Keep your team focused on the work that needs them.
We turn AI and machine learning into practical systems—connecting your knowledge, automating work, and building new capabilities around your business.
The opportunity is bigger than a single AI tool. It is the work your team could do, the service your customers could receive, and the decisions you could make with better systems behind them.
WAIV brings research, machine learning, and software engineering together to find the right opportunity and carry it into everyday use.
Meet WAIVFrom strategy and discovery to connected workflows and custom models. Explore where our capabilities meet your business.
Connect the steps between inboxes, documents, and business tools. Keep your team focused on the work that needs them.
Turn scattered documents and experience into useful, source-backed answers for your team.
Voice and email assistants that help handle inquiries, prepare responses, and route work to the right person.
Explore forecasting, anomaly detection, and custom models built around your data and business questions.
Some businesses need one focused implementation. Others need a partner who keeps building, maintaining, and improving as the opportunities develop.
Our AI Operations Partnership connects a practical foundation with an agreed plan for continuing work.
Understand the workflows, organize the knowledge, and define a useful first implementation.
Build, integrate, test, and help the team make it part of daily work.
Maintain what matters and prioritize the next improvement within an agreed scope.
Information, assistance, and human judgment—working together. Explore three illustrative workflows.
An assistant organizes the request and prepares a response. Your team reviews it before anything goes out.
An internal assistant finds relevant company information and brings the source along with the answer.
A model surfaces a signal in your data. The right person checks the context and chooses the next step.
Define the problem, the people involved, and the information the system needs.
Agree on the scope, baseline, review points, and evidence for acceptance.
Build and test the workflow with the team who will use it.
Evaluate results, maintain the agreed system, and prioritize the next step.
Explore applications across documentation, maritime services, field work, and owner-led operations.
From scattered files to clear handoffs.
02Keep operations moving, on and off the water.
03Less chasing. More clarity.
04Make room for the work only you can do.
05Bring the exceptions into focus.
Find a recurring workflow, a clear owner, and a result you can evaluate.
MEASURE THE VALUELook at the full process, including review, quality, and operating effort.
PLAN THE ENGAGEMENTChoose the arrangement that fits the work and what happens after launch.
WAIV helps businesses identify useful applications of AI and machine learning, then designs, builds, integrates, and supports the resulting systems. Work can include workflow automation, company knowledge assistants, voice and email experiences, and custom data models.
No. Bring a recurring task, a bottleneck, or a business question. We start by understanding the workflow, people, data, and tools involved before recommending a first project.
Yes. A focused project is a good starting point when there is one clear problem and an agreed finish. An ongoing partnership fits businesses that need continued implementation, maintenance, and improvement.
That depends on the agreed workflow. We define permissions and review points during scoping, including where a person must approve a response or action. High-impact decisions and exceptions need clear human ownership.
Bring us the work that slows you down. We’ll explore what a better way could look like.