OUR TEAM
Most AI companies are learning about industry. We came up in it.
Our team has spent its careers inside industrial automation and robotics — the systems that actually run plants.

WHY WE EXIST
We didn't come to AI from AI. We came from the plant floor.
Between us, decades in industrial automation, robotics, and the software that runs plants. We learned that the real distance is between a great demo and a system people trust in production — and that's where most of the work actually lives.
We started ReshapeX to close that distance for AI: not another model, but the knowledge grounding layer and tool harness underneath it, so the systems your team relies on are accurate enough to trust.
LEADERSHIP
Two industry veterans. Decades of pattern recognition.

Juan Aparicio
Founder & CEO
Years at Siemens in industrial automation, then in robotics — the work that taught him how much has to go right for new technology to earn a place on the floor: clean integration, operator trust, a real path from pilot to production. He builds ReshapeX for that bar.

Carlos Vanegas
Founder & CTO
A PhD, a prior exit to Autodesk, and years embedded on industrial sites taught him a simple rule: technology built close to the work ships; technology built in a vacuum doesn't. He builds ReshapeX the first way — start at the real problem, embed in the real workflow, and run evals against real questions before anything reaches a customer.
FOUNDER MEMO
Knowledge first. Agents second.
The industry rushed to ship agents, and most have stalled — an agent is only as accurate as the knowledge it can call, and a general-purpose LLM doesn't know your products. What closes the gap is a knowledge grounding layer underneath: a graph-based representation of your products, configurations, and compatibility rules built at build time, not query time, exposed through a tool harness and verified with evals against your real catalog. That's what takes you from a standard ~80% ceiling to 99.9% on your own questions — knowledge first, agents second, every answer citing the SKU, the page, the rule.
CAREERS
Build the layer with us.
We're hiring across applications engineering, evaluation, and customer-facing roles. If you've shipped AI in an industrial company, or want to, talk to us.
Give us your twenty hardest questions.
We'll demo on your SKUs, run your evals, and show citations for every answer.
- Real Examples
- Working Demo
- Your Data




