Through a continuous learning loop powered by real-world fleet data, Odysse improves utilisation, reduces idle time, and increases revenue per vehicle-hour as the fleet scales
Odysse: The future of efficient Urban Mobility
AI-Powered Ride-Hailing
Smarter Operations. Greener Mobility. Stronger Economics.
Market Opportunity
Urban ride-hailing is a large and growing market, yet it remains structurally inefficient.
Poor vehicle positioning, uneven driver supply, and rising operating costs lead to longer wait times, lower utilisation, and inconsistent driver earnings - creating a clear opportunity for intelligent, system-level optimisation.
Our Solution
Odysse orchestrates an AI-driven, all-electric fleet optimised in real time.
By combining city-scale demand forecasting with proprietary operational intelligence, we dynamically guide vehicle positioning and driver decisions to improve utilisation and maximise revenue per vehicle-hour.
We call it Intelligent Demand Response.
Investment Case
Odysse consistently delivers higher revenue per hour than traditional ride-hailing models.
Our capital-efficient fleet, data-driven operations, and scalable technology platform create a clear path to margin expansion and AI-enabled fleet deployment across cities.
Ride-hailing demand is inherently volatile
Demand fluctuates sharply by time of day, location, and events. Static fleet deployment leads to idle vehicles during low demand and missed revenue during peaks - driving poor utilisation and inconsistent earnings.
Without real-time intelligence, fleets cannot respond efficiently to changing demand patterns, resulting in wasted vehicle hours and weaker unit economics.
Intelligent Demand Response unlocks:
Higher fleet utilisation - through dynamic vehicle positioning- Improved operational efficiency - by reducing idle and dead miles
- Stronger revenue per vehicle hour - even at constant fleet size
Our Team
Anant Prakash
Founder & CEO
Ex MD, Macquarie; Director, BP’s Mobility business & start-up incubator
Engineer, IIT Delhi; MBA from LBS- Leadership, deep technical expertise, domain relationships
Alex Demenko
COO
Ex KPMG-Boxwood, DHL, AXA Bank
- MSc; MBA from LBS
- Leader in Operations, transformation
Tony Osborne
Head of Finance
Ex Finance Director at London Borough Market, with footfall >500k/week
- Chartered accountant
- Complex financial skills
Aditya Nigam
Head of Data & Technology
Ex Data Science at SHL Group, Snapdeal
- Computer Science Engineer from IIT, MBA from Imperial College London
- Innovator, Deep AI/Machine Learning and Data Analytics expertise
Dr Dominic Emery
Chairman
Former Group Chief of Staff, BP; previously Head of Group Strategy, BP; Ex Head, BP Ventures
- Brings global leadership, strategic experience and relationships
Paul Karras
Investor Director
CEO IntSol, UK’s largest provider of recruitment solutions in logistics
- Brings deep expertise in recruitment in logistics and fleet industries
Lukas Neckermann
Advisor
Former COO, Splyt - Softbank funded superapp and mobility platform
- Co-founder, PAVE Europe
- Deep knowledge of AV and mobility ecosystem, strategy, and fundraising
Dr Michael Galvin
Advisor
Leader in the taxi industry & former CEO, ComCabs - one of Europe’s largest taxi operators
- Brings decades of experience in scaling fleets
Niro Sivanathan
Advisor
Professor, London Business School; Ex Recruiter, pro athletes for league baseball teams; Expert negotiator
- Brings deep expertise in contractual negotiation; fund raise
Gerald Niochaut
Angel Investor
CFO CIO, BPCE Life Assurance, one of
France’s largest banks
- Brings experience from managing large transactions and complex finance