Strategic Move to an AI-supported application for Public Safety Travel App in London

the project

In a city as dynamic and bustling as London, public safety and efficient travel are top priorities. When a transportation tech startup aimed to improve how citizens and tourists navigate the city safely, they envisioned a mobile app that could deliver real-time travel insights, alert users to unsafe areas, and help them make smarter decisions on the go. However, their early prototype lacked the intelligence and infrastructure to scale or deliver on its mission. That’s when they partnered with Aisling to transform the app into a powerful, AI-supported public safety platform.

Reviewed on
5/5
31 Reviews
30,000
+

Hours delivered back to the business

100
+

SOX compliance in Settlement process automation

95
+

Success rate of bot case completion

6
+

For functional release of OBT, RTS and OGS

The Challenge

The startup’s vision was ambitious: create a travel app that helps users move around London while staying informed about real-time safety conditions—such as crowded areas, reported crimes, and transit disruptions. But the MVP (minimum viable product) had several limitations:

  • Manual data feeds that weren’t updated in real time

  • Limited integration with transport and public safety APIs

  • No predictive insights to help users proactively avoid high-risk areas

  • Poor backend scalability for handling large user volumes

  • Inconsistent user experience across devices

The company needed more than just development help—they needed a strategic technology partner who could bring AI into the equation while future-proofing the infrastructure.

The Solution: Aisling’s AI-Centric Strategy

Aisling engaged with the startup as a strategic technology advisor and solution builder, leading a full-stack transformation with a clear focus on intelligence, security, and scalability.

1. AI-Powered Decision Engine

Aisling developed a custom AI engine that aggregates and processes data from multiple sources:

  • London’s open transport API for real-time transit updates

  • Metropolitan Police Service feeds for crime and incident reports

  • User-generated safety ratings for neighborhoods and routes

  • Social sentiment analysis from public data (where permitted)

Using machine learning models, the app could now offer real-time alerts and predictive suggestions—like avoiding certain streets at specific times or choosing alternative public transit routes with lower congestion and incident rates.

2. Scalable Cloud Infrastructure

To support rapid scaling and future features, Aisling migrated the backend to a robust, cloud-native environment using a microservices architecture. This included:

  • Auto-scaling capabilities to handle peak user traffic

  • Secure data storage and encryption protocols for user privacy

  • API management for fast integration with additional public data sources

3. User Experience and Accessibility

The front-end was redesigned with accessibility in mind. Aisling implemented:

  • A clean, intuitive interface with multi-language support

  • Real-time push notifications and voice alerts for visually impaired users

  • A heatmap feature showing relative safety levels across the city in real time

4. Data Governance and Compliance

Operating in the UK required full compliance with GDPR. Aisling ensured all user data was anonymized, encrypted, and handled according to strict data privacy regulations. A consent-based model was introduced, giving users control over what data they shared and how it was used.

The Results

conclusion

With Aisling’s support, the startup didn’t just improve an app—they redefined what public safety means in urban travel. By building an AI-supported infrastructure and elevating the user experience, Aisling helped the client launch a scalable, compliant, and socially impactful product that’s making London safer and smarter for everyone on the move.

“Aisling helped us turn our idea into a city-ready solution. Their expertise in AI, infrastructure, and compliance made all the difference.” – Founder, Public Safety Travel App

Your smart city app deserves a smarter foundation. Let Aisling be your strategic tech partner.

The technologies that we used in this project ​

JavaScript
TypeScript
Node.JS
React
Swift
Java
Objective-C
RxJava

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