Fair Paths Forward - Making City Mobility Work for Everyone

Legal-Pythia proposes a smart, ethical AI system that helps cities understand how people move—especially cyclists and pedestrians—without invading their privacy. By analyzing anonymized data from sensors, cameras, or existing infrastructure, we help urban planners see where mobility works and where it doesn’t. This means safer streets, smarter investments in infrastructure, and better support for sustainable transport. Our approach focuses on transparency and fairness, ensuring every insight leads to meaningful, people-first improvements.

Our solution helps cities become more walkable, bike-friendly, and people-focused. By making sense of movement patterns, city planners can reduce traffic stress, improve safety, and create greener, healthier environments. It empowers local governments to invest where it matters most—like better crossings, protected bike lanes, or vibrant public spaces—based on real needs, not guesswork. Long-term, it supports climate goals, boosts local economies, and makes daily life better for everyone who lives, works, or visits the city.

Legal-Pythia is a UK-based legal tech and AI startup committed to turning complex data into transparent, actionable insight. We've collaborated with leading data and civic partners like the Impact Data Club (Turin), Banca Sella, and the Bright Initiative (by Bright Data), and have delivered value to customers such as Morgan Stanley, NatWest, and the City of Munich. Our expertise lies in using explainable AI to detect risk, bias, and greenwashing across financial, legal, and ESG datasets. We’re driven by a mission to build trust through data clarity — empowering institutions to act responsibly and communities to stay informed.

We propose a phased approach, starting with a small-scale pilot (~€15,000–€20,000) to demonstrate value using anonymized data and AI analysis in one urban area. Based on the outcomes, we can scale to additional zones or features (e.g., predictive modelling, public dashboards) in follow-up phases (€50,000+). The goal is to keep early investment low-risk while building towards a data-informed, sustainable mobility strategy.