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In the news release, NetGain Systems Launches Astra AI, the World’s First Large Language Model Purpose-Built for IT Asset Observability and Management, issued 16-Jul-2025 by NetGain Systems over PR Newswire, we are advised by the company that the official website for Trident Digital Tech Holdings is www.tridentity.me rather than “https://www.tridentdigital.sg” as originally issued inadvertently. The complete, corrected release follows:
NetGain Systems Launches Astra AI, the World’s First Large Language Model Purpose-Built for IT Asset Observability and Management
Astra evolves how enterprises anticipate and resolve IT issues before they disrupt businesses and their complex digital infrastructures.
Key Highlights
- NetGain Systems has launched Astra AI, the first Large Language Model (LLM) purpose-built for IT observability, delivering automation, anomaly detection, and predictive insights across complex digital infrastructure. Astra AI is starting with 500TB of domain-specific data from more than 20 years of enterprise IT environments
- New LLM addresses a fast-growing USD $4.1B observability market by helping enterprises detect and resolve infrastructure issues proactively
- Astra AI supports CIOs with intelligent, real-time insights while aligning with Singapore’s Smart Nation and AI goals launched in November 2024. Inspired by the Southeast Asia-focused LLM initiative, NetGain shares its vision and is actively looking to contribute to advancing sovereign AI through enterprise-grade innovation.
SINGAPORE, July 16, 2025 /PRNewswire/ — NetGain Systems, a leading Singapore-based innovator in IT observability, has announced the release of Astra AI, the first-ever Large Language Model (LLM) specifically trained to enhance IT asset visibility and proactive infrastructure management. Built on more than 20 years of operational expertise, Astra AI delivers a new level of automation, context awareness, and performance insight for enterprise IT teams.
NetGain Systems Astra AI Dashboard
Unlike general-purpose LLMs, Astra AI is engineered specifically for IT environments. It applies deep contextual learning to help operations teams detect anomalies, trace dependencies, and optimise system performance. Based on the LLama 4 architecture and fine-tuned in-house by NetGain Systems, Astra AI supports predictive analytics, real-time issue triage, and intelligent forecasting.
According to MarketsandMarkets, the global observability tools market is expected to grow from USD $2.4 billion in 2023 to USD $4.1 billion by 2028, reflecting the increasing importance of intelligent monitoring. In Southeast Asia, digital transformation is accelerating. Business outages in the region cost an average of USD $2.5 million per hour – well above the global norm – highlighting the urgent need for proactive, AI-enabled observability tools.
“Astra AI goes beyond conventional AI tools. It is a purpose-built system engineered to understand IT infrastructure with the depth and precision of a seasoned systems architect,” said Toh Soon Seah, CTO and Founder of NetGain Systems. “It can trace dependencies, recognise system behaviours, anticipate failures, and provide actionable recommendations while ensuring that all client data remains private and secure.”
Astra AI processes structured and unstructured data including logs, metrics, configurations, and traces. It generates natural language responses tailored to enterprise-scale queries. Rather than relying on fixed alert thresholds, Astra AI continuously analyses environmental context to detect early signs of infrastructure stress or failure.
Organisations can deploy Astra AI on premise for high-security requirements or in the cloud for scalability. The system is designed for speed and efficiency, delivering most analytical responses within 1–3 seconds. Even complex summaries across large datasets complete within minutes, maintaining usability across a wide range of enterprise applications.
“Astra AI has significantly enhanced our operational capabilities,” said Leo Tan, CTO of Trident Digital Tech Holdings. “This is what domain-specialised AI looks like in practice. It understands IT telemetry and infrastructure with the depth and intuition of a seasoned engineer. Astra AI’s real-time analytics and insights enable more effective monitoring and management of our digital services.”
Astra AI is launched at a time when enterprises face the challenge of managing distributed, hybrid, and fragmented IT systems. This fragmentation complicates visibility, introduces new vulnerabilities, and makes root cause analysis increasingly difficult. As IT ecosystems continue to scale across on-premise, private cloud, and multi-cloud environments, IT operations teams are often overwhelmed by siloed alerts, inconsistent data formats, and a growing skills gap. They are in a reactive position that limits their ability to drive their businesses forward.
Astra AI’s deep contextual understanding helps bridge these silos by providing unified intelligence that correlates signals across the full IT stack. It empowers teams to move beyond reactive monitoring, shifting toward proactive management and continuous optimisation. By embedding this intelligence into everyday IT operations, Astra AI prevents downtime while strengthening overall system resilience and agility.
Traditional monitoring tools lack the flexibility and intelligence to adapt to these dynamic environments. Astra AI’s contextual learning engine fills this gap by delivering operational clarity and proactive risk mitigation, preventing disruption to businesses.
NetGain Systems’s product and technology development strategy aligns with Singapore’s Smart Nation and AI goals. Astra AI was inspired by the government’s Southeast Asia-focused LLM initiative and shares its vision to build sovereign, locally relevant AI that advances enterprise resilience.
“This launch reinforces Singapore’s potential to lead in applied AI for enterprise infrastructure,” said Toh. “We built Astra AI to be the foundation for the next generation of AI-driven operations. It was designed here, for this region and globally, to meet the performance, security, and compliance needs of enterprises.”
NetGain Systems is actively engaging CIOs, technology executives, and managed service providers to participate in early-access pilots of Astra AI. Demonstrations will be tailored to each organisation’s infrastructure and strategic goals.
Please visit http://netgain-systems.com for more information. For interview and demo requests, please contact us.
About NetGain Systems
Founded in 2002 and headquartered in Singapore, NetGain Systems is an innovative leader in AI Ops for IT, specializing in monitoring, observability, and infrastructure management. It fills a market need that has existed for years. It is the first company in the world to develop a LLM specifically designed for unified IT observability and security across entire enterprise infrastructures. The company’s AIOps platform automates threat detection, predicts system failures via machine learning, and prevents downtime across hybrid cloud, IoT, and legacy IT environments. NetGain Systems’ solutions comply with regional standards, including IMDA cybersecurity requirements, and are customised for diverse markets in Asia and globally.
For more information, visit www.netgain-systems.com.
About Trident Digital Tech Holdings
Trident is a leading catalyst for digital transformation in technology optimization and Web 3.0 activation. Its flagship product, Tridentity, is a blockchain-based identity platform that is designed to deliver secure single-sign-on authentication across diverse industries. Trident’s mission is to become a global leader in Web 3.0 enablement, connecting organizations to reliable and secure digital infrastructure with optimized user experiences, with a strong focus on Southern Africa and other high-growth markets.
For more information, visit http://tridentity.me.
Media Contact
Kim San
PR Consultant
Axiom Forge PR
Phone: +65 8266 7086
Email: kimsan@axiomforgepr.com
Isabelle Pan
Marketing Manager
NetGain Systems
Email: isabelle@netgain-systems.com
Contact: 6815 8288
