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Ryde Explores Agentic AI to Reimagine Ride-Hailing Dispute Resolution at Tencent Cloud Hackathon Singapore 2026

Ryde partners with Tencent Cloud’s 2026 Singapore hackathon to test multi-agent AI for automating ride-hailing dispute resolution workflows.

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Ryde (RYDE) will act as an industry partner for the AI Agent Digital Native Track at the AI CAN DO IT Tencent Cloud Hackathon Singapore 2026, held from September to November 2026.

Ryde is presenting a real-world challenge, "RydeResolve: Multi-Agent Autonomous Dispute Resolution System," focused on using autonomous AI agents to handle ride-hailing disputes by gathering evidence, representing riders and drivers, and recommending policy-based outcomes. Participating teams must build end-to-end prototypes that address at least two dispute categories, such as route deviation or no-show charges, with judging criteria including multi-agent design, fairness, transparency, business impact and scalability. The hackathon will end with a Demo Day on 3 November 2026.

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News Explained

This is an exploratory hackathon challenge, not a deployed dispute-resolution system: teams will build prototypes, while any Ryde implementation remains subject to technical evaluation, testing and business assessment, so the release commits to no operational change.

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Market Context

Before publication, RYDE closed at $0.6656 as the company announced an exploratory hackathon prototy...
Analysis

Before publication, RYDE closed at $0.6656 as the company announced an exploratory hackathon prototype; the release stated that any implementation remained subject to technical evaluation, testing and business assessment.

Key Figures

Hackathon duration: September to November 2026 Specialised agents: 3 agents Dispute categories: At least 2 categories +2 more
Hackathon duration
September to November 2026
Tencent Cloud Hackathon Singapore 2026
Specialised agents
3 agents
RydeResolve dispute-resolution prototype
Dispute categories
At least 2 categories
Requirement for participating teams' prototypes
Demo Day
3 November 2026
Hackathon showcase for shortlisted teams
Commission model
0% commission
Private-hire and taxi driver-partners

Key Terms

multi-agent architecture
1 terms
multi-agent architecture technical
"Solutions will be assessed on areas including multi-agent architecture"
A multi-agent architecture is a software design where many independent programs, called agents, work together like a team of specialists each handling different tasks — sensing situations, making decisions, and coordinating actions. For investors, it matters because this setup can speed up automation, improve resilience and decision quality, and enable complex services (trading, risk monitoring, diagnostics) to scale or fail more gracefully, which can affect costs, performance, and regulatory compliance.

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Real-world industry challenge explores how autonomous multi-agent AI could improve operational efficiency, decision consistency and customer experience

SINGAPORE, SG / ACCESS Newswire / September 16, 2026 / Ryde Group Ltd (NYSE American:RYDE) ("Ryde" or the "Company"), a technology leader in mobility and quick commerce in Singapore, today announced its participation as an industry partner for the AI Agent Digital Native Track at the AI CAN DO IT Tencent Cloud Hackathon Singapore 2026, jointly organised by Tencent Cloud, the cloud business of global technology company Tencent, and AI Singapore.

As part of the hackathon, Ryde presents "RydeResolve: Multi-Agent Autonomous Dispute Resolution System," a real-world mobility challenge inviting participants to explore how autonomous AI agents could gather evidence, evaluate rider and driver perspectives, apply company policies and support fair and transparent dispute outcomes.

Ryde's participation forms part of a wider five-track programme, joining top local organizations to present industry-specific challenge statements. Taking place from September to November 2026, the hackathon is expected to bring together teams including developers, start-up founders and university students, to develop practical AI solutions addressing real-world business challenges.

Moving Beyond Traditional AI Assistants

Ride-hailing disputes can require the review of multiple data sources, including GPS and trip telemetry, rider-driver communications, payment records and historical behaviour. Ryde's challenge explores how Agentic AI could move beyond generating responses towards coordinating more complex operational workflows.

At the core of the challenge are three specialised agents: a Rider Advocate Agent, a Driver Advocate Agent and an impartial Judge Agent that evaluates evidence, applies relevant policies and recommends an explainable outcome.

"We see Agentic AI as an important evolution from AI that simply generates responses towards systems capable of reasoning, coordinating and executing increasingly complex workflows," said Nitin Dolli, Chief Technology Officer of Ryde. "By bringing a real-world ride-hailing challenge to the developer community, we want to explore how specialised AI agents can work together to evaluate evidence, apply policies and resolve disputes in a fair and explainable manner.

"For Ryde, this also presents an opportunity to explore greater automation, faster decision-making and more scalable operations. Improving operational efficiency through technology can, in turn, support the scalability of our differentiated 0% commission model for private-hire and taxi driver-partners as the platform grows."

"As Agentic AI opens new possibilities for automating complex workflows and addressing real-world operational challenges, talent development must keep pace to translate these advanced capabilities into practical value," said Bluefin Jiannan Zhao, Vice President of Tencent Cloud and Managing Director of Tencent Cloud International for Asia Pacific. "We are pleased to have Ryde contribute a real-world mobility challenge to the AI Agent Digital Native Track at the hackathon. By combining industry use cases with the creativity of the developer community, we hope to support the growth of local AI talent by making advanced AI tools more accessible and creating opportunities for Singapore's talents to address real-world needs."

From AI Experimentation to Practical Applications

Participating teams will develop end-to-end prototypes capable of handling at least two dispute categories, with potential scenarios including route deviation, no-show charges, property damage and safety incidents. Solutions will be assessed on areas including multi-agent architecture, evidence gathering, fairness and transparency, business impact and scalability.

For Ryde, the initiative provides an opportunity to explore how emerging AI architectures could support greater automation, faster decision-making and more scalable operations as the platform grows.

The prototypes developed during the hackathon will be exploratory in nature, with any future implementation subject to further technical evaluation, testing and business assessment. The hackathon will conclude with a Demo Day on 3 November 2026, where shortlisted teams will showcase their working solutions.

About Tencent Cloud:

Tencent Cloud, one of the world's leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

About Ryde Group Ltd:

Ryde, a homegrown super mobility app founded in Singapore, is the world's FIRST on-demand carpooling app since 2014! As a publicly listed company on the NYSE American, we are reimagining the way people and goods move around. We offer a full suite of services, including carpooling, private hire, taxi, and delivery, but what truly sets us apart is our commitment to empower our private-hire and taxi partners. We take 0% commission, ensuring that more of every hard-earned dollar goes to driver-partners on our platform. For more information, please visit https://rydesharing.com/to learn more.

Media Contact

Melody Huang
Tencent Cloud
haimeihuang@tencent.com

Andy Miu
Current Global
amiu@currentglobal.com
+852 2533 9908

Media Team
Ryde Group Ltd
media@rydesharing.com

Investor Relations
Ryde Group Ltd
investor@rydesharing.com

FORWARD-LOOKING STATEMENTS

Statements in this press release about future expectations, plans and prospects, as well as any other statements regarding matters that are not historical facts, may constitute "forward-looking statements" within the meaning of The Private Securities Litigation Reform Act of 1995. These statements include, but are not limited to, statements relating to the expected trading commencement and closing dates. The words "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "potential," "predict," "project," "should," "target," "will," "would" and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors. Any forward-looking statements contained in this press release speak only as of the date hereof, and Ryde Group Ltd specifically disclaims any obligation to update any forward-looking statement, whether as a result of new information, future events or otherwise, except as required by law.

SOURCE: Ryde Group



View the original press release on ACCESS Newswire

FAQ

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What specific AI concept is Ryde exploring in the hackathon challenge?

Ryde is exploring Agentic AI, focusing on autonomous multi-agent systems that can reason, coordinate and execute complex workflows, rather than merely generating responses. The challenge centers on three agents: a Rider Advocate Agent, a Driver Advocate Agent and an impartial Judge Agent that evaluates evidence, applies policies and recommends explainable outcomes.

What types of ride-hailing disputes will participating teams need to handle?

Teams must build prototypes that can handle at least two dispute categories, with potential scenarios including route deviation, no-show charges, property damage and safety incidents.

How will solutions in the RydeResolve challenge be evaluated?

Solutions will be assessed on multi-agent architecture, evidence-gathering capabilities, fairness and transparency in decisions, as well as expected business impact and scalability.

Is Ryde planning to immediately implement the prototypes from the hackathon?

No. The prototypes developed will be exploratory in nature. Any future implementation would be subject to further technical evaluation, testing and business assessment by Ryde.

When will the Tencent Cloud Hackathon Singapore 2026 conclude and what happens then?

The hackathon will conclude with a Demo Day on 3 November 2026, where shortlisted teams will showcase their working solutions developed for the challenge.

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