Groundup.ai Launches GINA V2 at ITAP 2026, a Sharper Agentic AI Engine that Diagnoses and Prescribes

Debuting at Industrial Transformation Asia-Pacific (ITAP) 2026, the next generation of Groundup.ai’s Cognitive Maintenance engine moves industrial AI beyond alerts; reasoning across sound, vibration and thermal data to pinpoint root causes and tell operators exactly what to do.

SINGAPORE – 22 October 2026 – Groundup.ai, the industrial machine intelligence company and pioneer of Agentic AI for Cognitive Maintenance, today launched GINA V2, the latest generation of the engine at the heart of its platform, at Industrial Transformation Asia-Pacific (ITAP) 2026, the region’s leading event for advanced manufacturing and Industry 4.0. GINA V2 is built to close the gap that has long limited predictive maintenance: the distance between knowing a machine might fail and knowing exactly why, and what to do about it, before it does.

Where legacy predictive maintenance (PdM) systems rely on static thresholds and stop at flagging raw anomalies, GINA V2 reasons. Combining multimodal AI, signal processing and agentic reasoning, it analyses tri-parameter machine health data, sound, vibration and thermal signals together, to diagnose the specific mechanical root cause and prescribe precise, actionable corrective steps. The result is decision-grade guidance placed directly in the hands of the operators on the ground, before a fault reaches the plant floor.

What sets GINA V2 apart is the foundation. Groundup.ai has built its platform AI-native, from the ground up: data, models and agentic reasoning designed to work as one system. That’s a different starting point from much of the market, where AI is being layered onto condition-monitoring architectures conceived long before modern AI existed, which is why so many tools still stop at the dashboard. 

A clean, AI-first stack is what lets GINA move past alerting to genuine diagnosis and prescription, and it’s what lets the platform keep compounding as the models, and the Groundup.ai Asset Library™ behind them grow.

“For years, maintenance software has been very good at raising its hand and saying something’s wrong,” said Leon Lim, CEO & Founder of Groundup.ai. 

“That was never enough. The operator still had to work out what was failing, why, and what to do; often under pressure, on a machine that couldn’t wait. GINA V2 is built to answer those questions. She never sleeps and never misses a signal. This is what Cognitive Maintenance was always meant to be: AI that reasons, diagnoses and guides, so the people keeping our factories, fleets and operations running are empowered to act with confidence.”

Groundup.ai platform view: Highlighting continuous machine health score trends across early-warning to critical-failure stages.

What’s new in GINA V2:

• Focus on what matters. GINA pinpoints which machines need attention now, drawing on real-time sensor data, ISO guidelines and Groundup.ai’s expert AI. Each machine carries a precise health score alongside an at-a-glance traffic-light status, with instant time-range selection and effortless period benchmarking.
• See every asset, wherever it is. A new Drivetrain Visualisation maps exact sensor placement and system-level views across multiple locations.
• AI that adapts to the operation. Every piece of team feedback calibrates the model, so GINA sharpens over time. And because she is backed by the Groundup.ai Asset Library™, the world’s largest industrial anomaly library, GINA understands a customer’s machines from day one.
• Spot trends faster. Teams can stack sensor streams side by side, temperature against vibration, to cross-examine the data and catch early patterns before they become failures.
• Enterprise-grade scale. Built for global operations, V2 adds enterprise single sign-on (SSO), seamless public API and webhook support, and new language options.

Groundup.ai chose ITAP deliberately. The event gathers manufacturers, utilities and infrastructure operators across Asia-Pacific who live with ageing, hard-worked machinery every day, exactly the people Cognitive Maintenance is built for.

The launch comes on the back of Groundup.ai’s strongest commercial year to date. Eight-figure, multi-year contracts, expansion across Asia-Pacific, the Middle East and Europe, a recent open-tender win with PUB, Singapore’s National Water Agency, and recognition in the NextGen Tech 30 Class of 2026. GINA V2 is already being deployed across asset-heavy operations including manufacturing, maritime, defence and critical infrastructure.

Meet the team live at ITAP 2026, 21–22 October, Suntec Singapore — Booth A7, Singapore Pavilion, or book a demo here.

###

About Groundup.ai

Groundup.ai is a Singapore deep-tech company advancing Physical AI for the world’s most critical assets, and the pioneer of the world’s first Agentic AI for Cognitive Maintenance. 

Our mission is to become the system of intelligence that critical assets rely on to understand, predict, and optimise their own operations.

At the core of our Cognitive Maintenance platform is the Groundup.ai Asset Library™, a proprietary machine intelligence engine trained on millions of tri-parameter machine health data points spanning sound, vibration, and thermal signals. Combining signal processing, multimodal AI, and agentic reasoning, the platform transforms raw machine telemetry into operational intelligence: detecting hidden faults, diagnosing root causes, and prescribing precise corrective actions before problems arise.

Deployed on-premise or in the cloud, Groundup.ai supports asset-heavy industries including manufacturing, maritime, defence, and critical infrastructure. The company works with world-class organisations including the Republic of Singapore Navy, Coca-Cola bottling operations, and Anglo-Eastern — serving customers across Southeast Asia, the GCC, Developed APAC markets, and selected European regions.

The result: Eliminated unplanned downtime, extended asset lifespan, and measurable ROI.

Zero downtime. Zero guesses. Zero waste. Learn more: https://groundup.ai/