Services

Three ways to work together

Pick based on where you actually are — not where you wish you were.

AI/ML Strategy Workshop

For leadership teams — CTO, VP Data/AI, Head of Analytics — who need a prioritized AI/ML roadmap before committing budget, or who have competing ideas internally and no consensus on what to build first.

• A single 6-hour, on-site working session
• A use-case inventory and prioritization exercise
• A platform/tooling assessment across your existing stack
• A written roadmap with sequenced recommendations and rough cost/effort estimates
• A 30-minute follow-up call two weeks later

ML Operationalization

For teams with a data scientist’s model that works in a notebook but has never made it to production — or has, and breaks quietly.

• Production architecture design: model registry, CI/CD, monitoring, drift detection, retraining pipeline
• Implementation on your platform of choice — Snowpark ML, Databricks MLflow, or equivalent
• Documentation and hands-on training so your team owns it after handoff

AI Operationalization

For teams with a GenAI or agentic pilot — a chatbot, copilot, or text-to-SQL assistant — that works in a demo but isn’t trusted enough for real users or real decisions.

• Verified query and semantic layer design, so answers come from a governed source of truth
• Guardrails against prompt injection, hallucination, and unsafe outputs
• An observability and evaluation pipeline — tracing, drift monitoring, automated evals
• Governance documentation for security and compliance review