A senior-weighted consulting firm working at the intersection of applied AI, data engineering and industrial operations — deepest where the machines are.
AltQube began as a quantitative practice — building forecasting, optimization and risk models for decisions where being approximately wrong was expensive. That work imposed a discipline most technology consulting never encounters: every model documented, every assumption defensible, every output traceable.
When manufacturers started asking us to apply the same rigour to their operations — yield, downtime, warranty, supply chain — we built out the engineering practices required to do it properly on a shop floor. Data platforms that speak to historians and MES. Vision systems that survive dust and vibration. Models that hold up across shifts.
Today the majority of our work sits in automotive and manufacturing, and the through-line hasn't changed: decisions that can be measurably improved, and systems that keep working after the consultants leave.
Most enterprises don't have an AI problem. They have a decision problem.
AI might help with it — and the difference between those two framings determines whether the investment ever pays back.
Every recommendation is backed by a measurement. We'd rather bring you an uncomfortable number than a confident opinion.
A demo proves a model can work once. We're only interested in systems that work on the tenth thousandth request.
The people who scope the work do the work. There's no bench of juniors waiting to take over after signature.
We resell nothing. Platform recommendations carry no commercial bias, because there's no commission to protect.
Evaluation, guardrails and audit trails aren't a phase-two add-on. Regulated work taught us to build them in from the start.
We plan our own exit from day one. Long-term dependency isn't a business model we're willing to run.
Senior practitioners who shape AltQube's engagements — each active in industry today, contributing to our programs in a leadership and advisory capacity.
Founded AltQube to bring quantitative rigour to operational decisions. Leads the consulting practice and client engagements.
LinkedInDeep enterprise technology and delivery background, guiding engagement structure and client outcomes.
LinkedInBrings enterprise transformation and stakeholder leadership experience to how our programs are shaped and governed.
LinkedInProduct and engineering perspective, shaping how we build and scale intelligent systems for clients.
LinkedInTechnology and engineering leadership, advising on architecture decisions and delivery quality across programs.
LinkedInWe hold no reseller agreements — these are simply the platforms our teams are deepest in.
A 30-minute conversation with a partner — no pitch deck, just a working discussion about the decision you're trying to improve.
