InQuantum: Secure. Verified. Enterprise-ready.
How we got here
Enterprises had access to increasingly capable AI, but no dependable way to deploy it with the context, privacy, and accountability their work required.
Models, prompts, knowledge, evaluations, policies, and runtime traces lived in separate systems. Trust had to be reconstructed after the fact.
Three builders across executive leadership, AI architecture, and platform engineering came together to make trustworthy deployment the foundation.
The idea became one connected evidence layer: a verifiable record from what a team builds to the outcome it ultimately governs.
Why we started
Across regulated and high-trust industries, we saw the same tension repeatedly. Teams wanted the leverage of generative AI, but deploying it meant navigating data exposure, compliance, hallucination risk, and a growing collection of disconnected tools.
Access to a model was easy. Understanding what entered it, why it produced a particular answer, whether that answer met a team's standards, and who approved the surrounding decisions was not. The evidence was scattered—or never captured at all.
“An AI answer is not enough. A consequential outcome should arrive with the evidence needed to understand and defend it.”
We founded InQuantum to close that gap. PlanckAi connects the model, prompt, knowledge, evaluation, policy, and trace behind an outcome so accountability becomes part of the workflow—not an investigation that starts after something goes wrong.
The visionaries
Three disciplines working as one team, without layers between a difficult customer problem and the people building its answer.
CEO
Jeremy brings a full operating view of enterprise software—from product development and new markets to sales, operations, and general management. He keeps PlanckAi anchored to the trust problems customers actually need solved.
Company and product strategy
Customer trust and adoption
Co-founder & CTO
Eric has worked in AI and machine learning architecture since the early transformer era, including model red-teaming and production systems. His aviation background brings the same discipline of evidence, redundancy, and shared understanding to consequential AI.
AI architecture and evaluation
Safety and verification systems
Co-founder & Tech Lead
Carson turns the company’s architecture into reliable, high-performance software. As lead developer on PlanckAi, he works across capture, evaluation, governance, and the audit-ready record that connects them.
Platform and product engineering
Scalable enterprise experience