Services · Data + AI engineering
Built on your stack, owned by you.
Pipelines, warehousing and integration across scattered systems, then LLM applications, retrieval over your own knowledge, agents and workflow automation, scoped and delivered in weeks.
Data, AI and training from one team. No handoffs between vendors.
Working systems in production in weeks, not strategy decks.
Baselines up front and before-and-after measurement at the end.
How we can help
What we deliver in Data + AI engineering.
Data pipelines and warehousing
Integration across your source systems into clean, analysis-ready data you own.
LLM applications and retrieval
Applications that answer from your internal knowledge, built on the systems you already run.
Agents and workflow automation
Routine work handled end to end, with the controls and logging your IT team expects.
AI strategy and use-case discovery
The one use case worth the most, scoped with a measurable payoff, in weeks rather than quarters.
The problem we hear
“We paid for an AI plan. Nothing got built.”
Our approach
A roadmap and a pilot, and neither is in daily use. The consultancy delivered a strategy deck; the dev shop delivered something that does not run on your stack. The board still asks what AI has changed.
- STEP 01
Discover
Use-case discovery against your real data and workflows, ranked by payoff and feasibility.
- STEP 02
Build
A working system in production on your stack, documented and reviewed with your team.
- STEP 03
Operate
You own the code and the data. We train the people who inherit it and stay on as needed.
Examples of our work
Software we designed, built and operate ourselves.

Consulting Case Prep
An AI interviewer that runs a case, pushes back and scores the answer the way a partner would. Designed, built and operated by us.
Explore →
Sales Engineer Onboarding
Live voice practice calls for sales engineers with a candid scorecard after each one.
Explore →Who it's for
Built for the people who inherit the result.
Mid-market and enterprise teams with an AI mandate and no internal data team, IT directors running a formal vendor process, and prime contractors who need a data integration and reconciliation subcontractor.
The team you'd work with.

Hiram Riddle
Lockheed Martin, Bain & Company, MIT Sloan MBA. Leads engagements from scoping through delivery.
Email Hiram
Mike Wing
Former Director of Business Intelligence, Houston Rockets. MIT Sloan MBA. Builds the reporting and data foundations teams run on.
Email Mike