Investment & Portfolio Advisory
Assess data, models, and architecture for technical risk and defensibility.
Deliverable: a diligence memo with risks, evidence gaps, and questions for management.
Services
We assess AI companies, guide technology decisions, and lead focused research.
Assess data, models, and architecture for technical risk and defensibility.
Deliverable: a diligence memo with risks, evidence gaps, and questions for management.
Evaluate feasibility, costs, and vendors against available data and budget.
Deliverable: a build, buy, or stop recommendation with assumptions and next steps.
Fractional oversight of research priorities, architecture, and technical hiring.
Deliverable: a research roadmap, evaluation criteria, and regular technical reviews.
Dataset curation, model training, and evaluation for vision, language, geospatial, and agentic systems.
Deliverable: a scoped experiment or proof of concept, with results and reproducible code.
A written scope sets the questions, required access, deliverables, timing, and fee.
Discuss the decision, deadlines, and available evidence. Agree what the assessment will cover.
Review the agreed data, models, and technical claims. Test critical assumptions and flag missing evidence.
Receive written findings and recommendations, followed by a call to discuss implications and next steps.