Explore any ‘what if’ — from internal pricing shifts to external shocks like tariffs — across your full financial model, without rebuilding it
Every important decision raises questions: What if demand drops? What if we change pricing? What if this assumption is wrong? But as models grow more complex, exploring alternatives, understanding impact, and trusting AI becomes slow, fragile, and risky.
Every new question forces teams to touch models that weren’t built for change.
Numbers move, but understanding lags behind.
AI can generate answers — but not accountability.
So teams stop exploring — not because they don’t care, but because curiosity is slow, fragile, and risky.
Most tools are designed to show you what happened. Fluxion is designed to help you discover what could happen. We built a platform where your decisions are the main characters.
Fluxion is built on a different foundation. Instead of asking AI to manipulate rows and columns, Fluxion gives AI access to semantic decision models. This is what finally makes AI useful for decision-making — not by guessing, but by reasoning within your actual model.
With Fluxion, you’re no longer limited to the questions you have time to answer. The AI understands the structure and intent of the model, knows the real-world constraints, allowing it to take meaningful agency.
Exploration should feel powerful, not risky. In Fluxion, you define the rules, constraints, and boundaries.
Fluxion keeps full lineage of what changed, why it changed, and which assumptions were involved. This turns AI from a black box into a trusted collaborator.
Fluxion captures precise diffs of every variable, input, and assumption modified during exploration.
Trace outcomes back to specific drivers. Understand the logic, not just the result.
A complete log of every simulation, check, and suggestion made by the AI.
They come from better questions — asked earlier, more often, and answered with confidence.
If understanding “why” matters as much as knowing “what,” Fluxion gives you a new way to explore decisions — safely, deeply, and at scale.