Indonesia’s Go-Jek raises $1.5bn as ride-hailing market heats up

Sources said BlackRock and Temasek are investing about $100 million each in Go-Jek’s latest fundraising. (Reuters)
Updated 26 February 2018
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Indonesia’s Go-Jek raises $1.5bn as ride-hailing market heats up

SINGAPORE: Go-Jek has raised a higher than targeted $1.5 billion in a fundraising round from a dozen investors including BlackRock and Google, sources said, as the ride-hailing firm builds its war chest to fight deep-pocketed rivals.
Go-Jek had planned last year to raise $1.2 billion, and, with the 25 percent extra funds it has received, it is now valued at about $5 billion, according to the sources.
Reuters Breakingviews said last month Go-Jek was valued at roughly $4 billion compared to over $6 billion for Grab, Southeast Asia’s largest ride-hailing firm.
The additional funds and backing of well-known investors including Singapore’s Temasek Holdings and Chinese technology giant Tencent Holdings will help Go-Jek to better compete in Southeast Asia’s cut-throat market where incentives to drivers and passengers are used to build loyalty.
Singapore-based Grab was expected to have raised $2.5 billion last year and Uber Technologies has pledged to invest aggressively in Southeast Asia — home to 640 million people — even though the US firm expects to lose money in the fast growing market due to costly battles with rivals.
Both companies are expanding in Indonesia, Southeast Asia’s most populous country, where Go-Jek, a play on the local word for motorbike taxis, is transforming the local economy, economists say.
Go-Jek and Grab are also investing heavily in expanding their mobile payments platform.
“Go-Jek is far beyond a ride-hailing app, it’s a digital platform that dominates consumers’ daily lives, including transportation, food delivery, logistics, and payment, etc,” said Xiaofeng Wang, senior analyst at consultancy Forrester.
“That’s also the key value that its key investors like Google and Tencent see. They know well about the power of the digital ecosystem, and Go-Jek has built it in Indonesia, like Google in the US and WeChat in China,” Wang said.
Go-Jek told Reuters that some investments that came in this year were part of the funding round that kicked off last year but it declined to comment on the amount raised or the names of investors.
It said the funding was aimed at developing technology for micro, small and medium enterprises in Indonesia.
Go-Jek delivers everything from meals and groceries to cleaners, masseuses and hairdressers across Indonesia’s capital city Jakarta, all at the touch of a smartphone app — helping it become a crucial workaround in a city with some of the worst traffic in the world.
Sources said BlackRock and Temasek are investing about $100 million each in Go-Jek’s latest fundraising.
BlackRock declined to comment. A Temasek spokesman confirmed participation in the fundraising but declined to say how much it had invested.
This month, Indonesian conglomerate Astra International said it will invest $150 million in Go-Jek, while sources said Djarum Group’s PT Global Digital Niaga is putting in $100 million.
Go-Jek’s payment system, known as Go-Pay, has emerged as one of the most popular mobile payment platforms in Indonesia. Grab, which bought Indonesian payment service Kudo last year, also sees its future in mobile payments as much as in transport.
Go-Jek is expanding in other Indonesian cities and has said it plans to start operations in the Philippines this year, followed by other Southeast Asian countries.


AI’s shift toward proactive healthcare

Updated 05 February 2026
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AI’s shift toward proactive healthcare

  • Experts reveal how AI is reducing burnout and streamlining workflows

JEDDAH: Artificial intelligence is increasingly moving from the margins of healthcare innovation into its operational core. Rather than replacing clinicians, AI is being deployed to address persistent challenges across health systems, from administrative overload and staff burnout to fragmented data and inefficient patient flow.

Speaking to Arab News, Abbes Seqqat, chief executive officer of Rain Stella Technologies, and Eric Turkington, chief product officer, discussed how AI is already transforming healthcare delivery — and why its impact is most meaningful when embedded directly into clinical workflows rather than treated as a standalone tool.

Seqqat describes AI’s role as accelerating a structural shift in healthcare delivery. “AI is accelerating the shift in healthcare from reactive to proactive care, because AI fundamentally helps detect, analyze and predict,” he said, noting that many health systems lack the resources to perform these tasks at scale.

Abbes Seqqat, chief executive officer of Rain Stella Technologies. (RST photo)

While AI use cases in healthcare are broad, Seqqat emphasized that the most effective applications today focus on operational and clinical fundamentals, including reducing administrative burden, identifying patient risks earlier, and capturing clinical data more reliably and in real time.

RST’s portfolio reflects this approach, spanning surgical data capture and workflow automation, cloud-based electronic medical records, and health information exchange. Across these systems, the common goal is improving data quality and usability so clinicians can spend less time managing information and more time delivering care.

According to Turkington, RST’s systems rely on a mix of established and emerging AI technologies.

RST's Equinox offers a streamlined workflow, minimizing redundant data entry, and also allows for seamless integration with other systems. (RST images)

“Across the portfolio, we are using a wide range of AI and predictive technologies, from voice technology to reliably capture clinician inputs, to large language models that analyze and act on collected data,” he said.

A key focus has been adapting AI to regional and clinical realities. Voice models, for example, have been trained on UAE and GCC accents and grounded in medical terminology to improve accuracy in real-world settings. RST also uses retrieval-augmented generation and multi-agent AI architectures, allowing different AI components to perform specialized tasks such as classifying surgical notes, identifying unusual events, or assisting with billing and coding, Turkington explained.

DID YOU KNOW?

• AI can detect, analyze, and predict patient risks faster than traditional methods.

• Systems like Equinox use voice input and predictive analytics to actively support clinical decisions.

• AI assistants provide real-time updates, automate documentation, and improve coordination in operating theaters.

One of the central concerns around AI adoption is whether it adds complexity to already demanding clinical roles. Seqqat argues the opposite should be the goal.
“For nurses and frontline staff, AI’s greatest contribution is removing the invisible administrative friction that leads to burnout,” Seqqat said.

In operating theaters, AI systems can replace manual coordination methods such as phone calls and whiteboards by providing real-time situational awareness. By automating updates, anticipating delays, and serving as an on-demand clinical notepad, AI reduces cognitive load and allows staff to remain focused on patient care, he explained.

RST’s voice-enabled assistant, Orva, is designed specifically for perioperative environments.

Orva captures live updates through voice input, enabling it to surface delays, flag bottlenecks, and prompt coordination between departments. (RST photo)

Turkington said it enables hands-free documentation and coordination, helping surgical teams manage schedules and resources more effectively.

By capturing live updates through voice input, Orva can surface delays, flag bottlenecks, and prompt coordination between departments. It also assists with documentation and coding, reducing errors and supporting more accurate reimbursement— an area where incomplete records often create downstream challenges.

Electronic medical records remain central to healthcare delivery, but Turkington noted that AI can move them beyond passive data repositories.

Eric Turkington, chief product officer of Rain Stella Technologies. (RST photo)

“We designed Equinox as an EMR that enables you to spend less time with the software and more time with patients,” Turkington said.

Through voice input, automated documentation from visual annotations, and AI-generated pre-visit summaries, the system can actively support clinicians rather than slow them down. Predictive analytics, such as identifying no-show risks or highlighting care gaps, further shift EMRs toward decision-support tools rather than administrative obligations.

Both executives stressed that AI’s effectiveness depends heavily on data access and quality. Seqqat pointed to interoperability as a prerequisite rather than an afterthought.
“AI is only as powerful as the data it can access,” he said, adding that fragmented records limit both clinical insight and system-wide learning.

Health information exchanges, such as RST’s Constellation platform, enable patient data to be viewed longitudinally across providers. AI can then assist with patient identity matching and population-level analysis, allowing trends and risks to be identified across large datasets.

Turkington shared an example from an operating theatre where AI helped prevent cascading delays. When a surgical case ran late, a nurse verbally updated Orva that the patient was ready to exit. The system alerted the recovery unit, analyzed schedule conflicts, and prompted management to reassign staff before delays affected subsequent procedures.

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By tagging the cause of the delay and feeding that data into predictive models, the system helped prevent similar issues in the future — without additional manual coordination.

According to Seqqat, the primary returns from AI adoption come from combining efficiency with financial accuracy. Streamlined workflows allow providers to treat more patients without compromising care, while improved documentation reduces revenue leakage.

Looking ahead, Seqqat sees AI becoming central to Saudi Arabia’s healthcare transformation. He described its role as advancing smart hospitals, predictive patient flow, and precision medicine aligned with Vision 2030 goals.
“The role of AI in Saudi Arabia’s healthcare sector is evolving from a supporting technology to a foundational pillar of the Kingdom’s Vision 2030 transformation. Over the next few years, we expect to see AI move into the realm of smart hospitals, where predictive analytics optimize patient flow and AI-driven precision medicine leverages the Saudi Genome Program to provide hyper-personalized care. By unifying national health data and automating complex administrative workflows, AI will enable a more proactive, value-based healthcare model that improves patient outcomes and operational efficiency across the country.”