Combining organizational memory with live operational context, so every manufacturing decision is fully informed.
We help people make better decisions by giving them the full context of the business, not just the information available within one team or system. NitroLens brings together the relevant context, history, and constraints behind each decision so teams can move faster with a clearer view of the bigger picture.
We believe the next step in enterprise AI is a central intelligence for the organization, one that understands what the company knows, remembers why decisions were made, and learns from what happens next. Over time, that intelligence should become more useful across teams, workflows, and decisions.
Our team brings together strategy experience from McKinsey and Cisco with production AI systems expertise from Meta Superintelligence Labs. We built NitroLens around a simple belief: enterprise AI should not begin with a model or a tool. It should begin with understanding how the company actually works, its systems, people, decisions, constraints, and accumulated knowledge.
We begin with how work actually happens: the decisions, dependencies, systems, people, and constraints behind the process. Technology follows the business problem, not the other way around.
AI can only make good decisions when it understands the information around them. We connect the relevant systems, knowledge, rules, and decision history before asking AI to reason or act.
AI can analyze, recommend, coordinate, and follow through within defined permissions. Important trade-offs and decisions stay with the people accountable for them.
Show us a recurring decision or workflow where important context is spread across teams, systems, or people. We’ll help you identify how Central Intelligence could make it easier to understand the situation, make the call, and move the work forward.