
Thingtrax is a complete solution for manufacturing leaders to improve operational performance by engaging people at every level to embrace a high-performance culture. Our Integrated Product Suite…

Thingtrax is a complete solution for manufacturing leaders to improve operational performance by engaging people at every level to embrace a high-performance culture. Our Integrated Product Suite…
What they do: Agentic manufacturing operations platform using computer-vision AI agents to observe, reason, and act on production lines
Founded: 2015
Headquarters: London
Recent funding: £4.3M pre-Series A / Seed (announced Jul 20, 2023)
Core verticals: Food & beverage and other manufacturing
Manufacturing operations optimization (quality inspection, label verification, counting, line orchestration, real-time interventions)
2015
IT Services and IT Consulting
£4.3M
Round included participation from Haatch, Portfolio Ventures, Vinci Venture Capital and angel investors
“Backed by multiple specialized VC investors and angel investors, including participation from growth-focused firms (Concentric, Superseed, Puma Private Equity, Haatch, Vinci Venture Capital)”
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Thingtrax is building an Agentic Manufacturing Operations platform to fundamentally change how factories run. By deploying AI-powered agents including computer vision systems directly on production lines, we enable manufacturing operations that can observe, reason, and act in real time. Partnering closely with manufacturers, especially in food and beverage, we’re helping teams reduce waste, improve quality, and move from manual intervention to autonomous, continuously optimised operations.
We are setting up a global R&D centre with a state-of-the-art applied AI laboratory, equipped with NVIDIA edge platforms (Jetson / RTX), industrial global-shutter cameras, precision lenses, strobed lighting systems, and high-performance GPU workstations. Engineers will work hands-on with real production hardware, building and optimizing AI systems deployed directly on manufacturing lines.
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