How I help

Make the opportunity
a working plan.

Start with the product milestone and the team you have. Together, we identify where AI can help, test the most promising workflows, and build the capability to carry them forward.

01 / Direction

An AI strategy tied to the product.

Prioritize opportunities across scientific work, software, and evidence generation. Give leadership and investors a clear account of the investment, the milestones, and how progress will be measured.

02 / Execution

A focused pilot with a clear question.

Test a workflow with the people who will use it. Assess scientific usefulness, review effort, data handling, and cost. Define ownership and the next investment before expanding.

03 / People

The right technical capability.

Define and hire the next computational leader. Support decisions about architecture, vendors, validation, and team design so a small engineering group can serve an ambitious scientific program.

04 / Invention

IP investment with product purpose.

Assess the technical and commercial relevance of a molecular diagnostics portfolio. Focus investment on inventions that matter to the product, working alongside patent counsel.

More about IP advisory

Sample access, evidence, and validation shape the plan from the start. Explore those decisions.

Find a starting point