Artificial intelligence technology is permeating markets across Singapore. Sectors from healthcare to banking use machine learning models to replicate human thought and help streamline various processes. As companies and institutions across the country continue to modernize solutions, learn about some of the innovators leveraging AI and machine learning to improve efficiency, customer experiences and more.
Top Machine Learning Companies in Singapore
- BlackLine
- Exabeam
- UCARE.AI
- Datature
- Ai Palette
Top Machine Learning Companies in Singapore
BlackLine offers finance and accounting solutions for enterprise companies. Its technology works to automate the execution and management of financial, intercompany and invoice-to-cash processes. BlackLine leverages AI and machine learning to unify businesses’ data and processes, automate repetitive workflows and provide visibility.
Datature provides a no-code machine learning operations solution to help developers build deep learning capabilities. Its solution helps teams developing computer vision models optimize their workflows by streamlining dataset management, annotation, training and deployment. Datature also enables companies to integrate their solutions with popular applications and tools.
UCARE.AI provides IT consulting services for the healthcare industry. Its solutions include predictive AI, online machine learning and integration tools to allow providers to determine accurate hospital bill estimates and detect anomalous medical claims, as well as enable payers, providers and patients to interact transparently. UCARE.AI’s insights and augmenting capabilities allow providers to direct urgent attention to those most in need.
LogicMonitor makes tools for IT infrastructure observability, which requires extensive human labor when managed manually. The company sidesteps that issue by deploying AI and ML. By utilizing the speed and scale at which ML models can extract and analyze data, LogicMonitor is able to provide its customers with precise and constant monitoring solutions.
Ai Palette serves consumer packaged goods companies with product creation tools. Its technology uses AI and machine learning to pinpoint emerging trends across billions of data points from over 150 sources, enabling brands to identify consumer drivers and develop product concepts that speak to those motivators.
InterSystems is a software company that develops digital management tools for the medical, finance and logistics industries. It offers the InterSystems IRIS for Health platform, which is specifically designed to support healthcare data management. The technology includes InterSystems IntegratedML, a feature that allows users to embed automated machine learning processes and predictive models into their data protocols.
Rokt is an e-commerce specialist in the digital marketing space. Rokt Ads uses machine learning to serve targeted ads to customers during checkout, while AfterSell by Rokt uses AI to upsell specific products as part of the post-purchase experience. Rokt solutions are designed to integrate into mobile e-commerce apps as well as websites.
Liftoff offers growth solutions for monetization and marketing of mobile apps. It supports roles that include game developers, publishers and advertisers in sectors such as entertainment, e-commerce, gaming, finance and social. The company says it has a presence in Singapore, where it was recognized as one of the “Best Places to Work.”
Exabeam is a cybersecurity company providing services like data ingestion, analytics and workflow automation. Its cloud-native security operations platform leverages machine learning-based AI to enable faster and more accurate threat detection, investigation and response capabilities.
Xero offers digital products for small business revenue management and accounting. Its portfolio of cloud-based solutions relies on artificial intelligence and machine learning algorithms to enable predictive analytics for bank reconciliation. In this process, ML is used to predict the sources and account codes for transactions that don’t match up to financial records, which traditionally is a labor intensive manual process.
