Alchera Technologies
Alchera Technologies provides a cloud-based AI platform that turns transport and mobility data into trusted evidence for highways operators and local authorities. The platform ingests, cleans, and combines data from sources like connected vehicles, traffic signals, and bus locations, enabling same-day decisions for roadworks planning, bus network improvements, and network monitoring.
- Mobility & Transportation
- Data & Analytics
- Artificial Intelligence
- Government Technology
- Software Only
- Enterprise Software
- Logistics & Supply Chain
Funding
Raised to date
£2.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $3.4Macross 1 round
£2.7M · Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $3.4M
Founders
Product
Problem
Transport network operators often struggle to efficiently analyze the vast amounts of data generated by their infrastructure. This makes it difficult to identify areas for improvement, optimize operations, and enhance network resilience. The complexity of mobility data and the lack of accessible tools hinder effective decision-making.
Solution
Alchera Technologies provides a cloud-based AI software platform designed to help transport network operators unlock insights from their existing data. The platform offers real-time and historical data analysis, enabling better-informed decisions for managing road infrastructure. Alchera's solutions include the Alchera Data Hub for versatile data exploration, Alchera Bus for optimizing bus services, and Alchera Highways for tailored highway network planning. The platform integrates various data sources, including VivaCity, Floating Vehicle Data (INRIX, TomTom), OneNetwork, and UTMC Tools, providing a comprehensive view of mobility dynamics.
Target Audience
Alchera's primary customers include transport authorities, local authorities, highway operators, highway contractors, and consultancies involved in mobility planning and operations.
Features
- Real-time and historical data ingestion and visualization
- Code and no-code exploration capabilities
- Machine learning analytics and insight generation
- Clear reporting for monitoring and evaluation
- Integration with third-party applications via API
- Data quality monitoring and alerting
- Pre-configured PowerBI dashboards for key reporting
- Anomaly detection algorithms for incident identification
- Prediction algorithms for optimizing maintenance and operations
- Bus network analysis down to 20-metre segments with DfT-ready reporting and TAG-compliant economic benefits calculations
- Traffic flow forecasting for roadworks planning over 3 months to 3 years, proven on the M25
- Multi-modal network views combining bus, car, bike, scooter, and pedestrian data
- Python SDK, CSV download, Kepler and Tableau visualization options for flexible data access