Consulting & Training
AI audits, roadmaps, technical workshops, and training for teams and organizations. Progressive expansion service.
What we do
Not every organization needs a full AI implementation right away. Sometimes you need clarity first: where can AI actually help? What's realistic? What should you build first? Our consulting service provides strategic guidance, technical audits, and hands-on training to help your team make smart AI decisions.
AI Opportunity Audit
Review your business processes, data assets, and technical stack to identify where AI can deliver the most value.
AI Roadmap
Build a phased implementation plan: what to build first, what to defer, and how to sequence projects for maximum impact.
Team Training
Hands-on workshops for engineering and product teams: ML fundamentals, LLM integration, data engineering, and AI system design.
Technical Workshops
Deep-dive sessions on specific topics: prompt engineering, RAG architecture, agent design, MLOps, or evaluation methods.
Implementation Strategy
Guidance on build vs. buy, vendor selection, architecture decisions, and scaling AI systems across your organization.
AI Adoption Support
Ongoing advisory as your team builds and deploys AI systems. Code reviews, architecture feedback, and problem-solving support.
What you need to get started
Organizational readiness
Leadership support for AI adoption and willingness to invest time in learning and change management.
Access to stakeholders
Ability to interview key team members, review processes, and understand business challenges across departments.
Existing systems overview
Documentation or walkthroughs of current tech stack, data infrastructure, and business processes.
Clear goals
What does success look like? Cost reduction, revenue growth, efficiency gains, or competitive advantage?
Why we're qualified
Competition Experience
Top placements in 5+ international AI competitions (2025) across clinical NLP, geophysics, GeoAI, and tabular ML. This demonstrates breadth of technical knowledge across domains.
Published Research
Golden Gauss AI paper on Zenodo, ATLAS Benchmark for AI evaluation, and multiple open-source packages. Demonstrates ability to communicate complex technical concepts clearly.
Full-Stack Experience
Experience spanning data engineering, ML modeling, software development, robotics, and control systems. Can advise across the full AI stack.
Interested in consulting or training?
Contact us to discuss your needs and current availability.