We're building the decision-intelligence platform that brings the cost of curiosity to zero, so finance and business teams can explore any "what if" in minutes, not weeks.
Every day, teams need to ask new "what if?" questions about pricing, costs, risks, capacity, or growth. But answering them is still slow, fragile, and expensive.
Models live in spreadsheets, where assumptions are hidden and hard to evolve. More robust performance-management tools offer a single source of truth, but they're built for control and reporting, not for discovery. Changing them is slow, so exploration still happens elsewhere.
So most questions never get asked.
We've lived this problem from every angle: built BI stacks on every major data platform, designed enterprise performance-management systems, and spent years translating messy reality into models companies could actually run. We've built hundreds of spreadsheets, from pricing to long-range planning, and watched them grow brittle under their own importance.
Each time, the pattern was the same: the hardest part wasn't the math; it was keeping models understandable, adaptable, and trustworthy as questions changed.
So we built Fluxion to bring the cost of curiosity to zero. An AI-native decision platform that combines the flexibility of spreadsheets with the rigor companies need to trust decisions, and layers in analytics that were previously out of reach: smart contribution analysis, backward solving with Bayesian optimization, large-scale simulations, and more.
Empower organisations to make decisions under uncertainty by building a modeling engine where facts, assumptions, causality, and beliefs are explicit, computable, and auditable.
Uncertainty is not managed; it is navigated. Like GPS, strategy is no longer a plan but a living system, always sensing, always recalculating, always moving.
Decisions are event-driven and continuous. Performance is not precision; it is velocity: the speed at which an organisation learns, adapts, and reallocates.
People, goods, and capital flow toward the best available option. Trade-offs are explicit. Feedback is immediate. Learning compounds.
Organisations don't optimise once a year.
They get better every day.
Fluxion is built by people who've spent careers building analytics, simulation, and decision infrastructure for complex, high-stakes organizations.

Setting the company's direction and leading product. Previously spent a decade at McKinsey and QuantumBlack turning executive strategy into enterprise performance systems.

Leading commercial and operations. Previously advised clients across industries at McKinsey on growth and high-stakes decisions under uncertainty, grounded in rigorous financial modelling.

Leading tech. Previously a technical founder who built and scaled AI products and the companies around them.

Full-stack product engineer with background in building enterprise platforms end to end, from architecture to product design. Now putting that range into Fluxion's product.

Driving commercial growth. Previously a BCG strategist with deep enterprise-finance experience, turning financial complexity into clear decisions.

Building the AI framework. Previously a senior data scientist with deep experience in applied AI and simulation.
If you've built models companies actually depend on, or wanted to. We want to talk to you.