Most organizations don't need a multi-year AI transformation. They need someone to find the riskiest assumption in their AI strategy, test it fast, and hand over a production foundation a permanent team can own.
Principals who ship, not advise
Every engagement is led by a Principal-level engineer who owns architecture and production delivery.
Research-to-production in one team
Peer-reviewed research and production engineering on the same roster, with no separate implementation phase.
Knowledge transfer by design
Engagements leave documented systems and the context your team needs to hire and support permanent senior data-science staff.
Our retained search practice →What the bench has shipped
Production systems, not slideware. Each engagement below shipped to a real environment. Clients are described, never named.
Enterprise commerce re-platform
Migrated a European industrial manufacturer's legacy commerce stack to a modern platform serving B2B customers across 42 countries, with a custom pricing engine and full ERP integration. Live in production.
Fraud and sanctions automation
Agentic system automating a Fortune 100 card-services fraud and sanctions investigation workflow in a regulated production environment.
Grid-demand forecasting at state scale
Bottom-up forecasting pipeline for a California state grid-electrification study incorporating dozens of ML models. Delivered to the state regulator and peer-reviewed.
Cloud security metric
Invented a permissions-exposure metric across AWS, Azure, GCP, and VMware. Patented method. The underlying identity platform was acquired by Microsoft.
Production GenAI
On-premise LLM fine-tuning for contract red-lining using more than 1,000 historical agreements. A production conversational agent with RAG (pgvector) and multi-provider LLM support.
What clients say
“They let us focus on our core business while delivering provable short-term wins that justified continued investment in their work… directly enabled us to secure an exclusive partnership with an industry giant.”
“His team's innovations around analytics and automated remediation helped our customers in a big way and led to several patents.”
A lead who owns the outcome, not a stack of resumes
We embed a Forward Deployed AI Engineer, a Principal-level lead who owns architecture, build, and production, paired with a Forward Deployed AI Project Manager who handles delivery and stakeholder alignment. Additional specialists join by specialty as scope requires.
Engagements are outcome-owned end to end. For teams that need individual contributors or permanent hires, our contract staffing and retained search practices handle those separately.
How fast this typically moves
Timelines are typical and subject to consultant availability and scope.
Scope a proof of concept.
Tell us the business problem. We'll match a 1 to 3 person sub-team from the bench, propose a tight scope, and ship, or kill the idea fast.
Scope a proof of concept