Polarity Politica
Staying ahead of regulations to avoid fines
About
In a constantly evolving world shaped by geopolitical uncertainties, companies lack crucial data and metrics to anticipate legislative issues affecting their markets and clients. Legislative enforcement is highly fragmented and relies on many different factors across various departments, budgets, and administrations in every jurisdiction.
We are uniquely positioned: we focus on enforcement and implementation, not just regulation. By combining many different forms of data, enforcement agency capacity, political priorities, and historical enforcement patterns, we turn fragmented and opaque signals into metrics.
The Problem
Laws on paper do not hurt companies. Enforcement does.
This is where penalty fines are generated. Most organisations track laws that are passed, which is useful, but forget to anticipate how such policies will be practically enforced.
As of 2026, enforcement anticipation remains largely absent from existing compliance tools. Between 2018 and 2025, companies worldwide were fined between an estimated $45 billion to $55 billion for failing to comply with enforced regulations, with thousands of organisations penalised each year as enforcement activity increased across multiple sectors.
Our Software
REG-1
REG-1 is our first and most powerful software, capable of taking into account thousands of regulatory signals, enforcement agency capacity, political priorities, and historical enforcement patterns to anticipate and provide an accurate probability of when and how laws are likely to be enforced.
5 Core Metrics
Enforcement Probability Score
Predict the likelihood of a specific regulation being actively enforced based on agency budget, staffing, and political will.
Inspection Intensity Index
Forecast the frequency and depth of regulatory inspections in specific jurisdictions and industries.
Compliance Cost Forecast
Estimate the actual cost of compliance implementation versus the risk-adjusted cost of non-compliance fines.
Regulatory Will Indicator
Quantify the political and bureaucratic commitment to enforcing specific mandates, distinguishing rhetoric from reality.
Implementation Lag Tracker
Measure the time gap between legislative passing and effective enforcement to optimize compliance roadmaps.
How It Works
Data Collection
REG-1 aggregates regulatory signals from enforcement agencies, legislative bodies, and public records across multiple jurisdictions.
Pattern Analysis
Our machine-learning algorithms identify enforcement patterns, budget allocations, staffing changes, and political priorities.
Probability Assessment
The system generates enforcement probability scores and timeline estimates for when and how regulations will be enforced.
Continuous Learning
As REG-1 observes more regulatory actions and outcomes, it refines its models, improving prediction accuracy over time.
Our Position
Our goal
Companies lack crucial data and metrics to anticipate legislative issues affecting their markets and clients. We created REG-1 to fill this gap — a software capable of processing thousands of regulatory signals to anticipate when and how laws are likely to be enforced.
Why it matters
Enforcement is a risk, a cost, and has the potential to be fatal for any company. Between 2018 and 2025, companies worldwide were fined an estimated $45–55 billion for failing to comply with enforced regulations. We are here to solve and anticipate that.
Our position on the market
We have a unique position on the market: we focus on enforcement and implementation, not just regulation. By combining many different forms of data, enforcement agency capacity, political priorities, and historical enforcement patterns, we turn fragmented and opaque signals into metrics.
How do we win and stay ahead
We win because we built machine-learning software that automatically collects and analyses enforcement data. As it observes more regulatory actions and outcomes, the system learns how regulators behave and improves its predictions over time. This makes our software smarter, harder to copy, and more valuable the longer companies use it.
Team
Our Team
Matisse Lafond
UCL, LSE
Founder & Research Lead
Matisse is the Founder and Research Lead of Polarity Politica, leading research design, policy modelling, and enforcement-risk frameworks. With professional experience across French, European, and U.S. public institutions, including the French Embassy in the UK, French Ministry of Foreign Affairs, U.S. Government, and Office of the French Prime Minister, Matisse brings deep expertise in political analysis, public communication, and institutional research.
Timothée Dard
UCL
Co-Founder
Timothée Dard is an engineering student at University College London, studying Management Science with a focus on quantitative methods, data analysis, and decision-making under uncertainty. Alongside his studies, he has gained experience in venture capital and corporate M&A, working on early-stage investment analysis, market research, and strategic assessment. Building on this experience, Timothée co-founded Polarity Politica after noticing that regulatory and enforcement risk is often discussed too broadly, too late, and in ways that are difficult for firms to act on.