Accelerator
Manufacturing teams
2018
Voice‑first interface
Voice AI
Co-founders Mark Fosdike, Aric Thorn, and Ben Purcell raised a seed round (US$3.2 million) before later raising a Series A of US$10 million to commercialise their industrial voice-assistant.
Manufacturing, energy, and maintenance teams were early users, using Datch to access manuals, log tasks, and collect frontline data hands-free.
Startup Rollercoaster
The Spark
Mark Fossdike (formerly an aircraft systems engineer) co-founded Datch in 2018 with Aric Thorn and Ben Purcell. Their goal was to build a voice-visual AI assistant for frontline industrial workers, reducing time spent on paperwork and improving access to maintenance documentation.
The Peak
In 2020, Datch secured US$3.2 million in seed funding, led by Blue Bear Capital, to develop its voice-visual AI platform. Early pilots were run with industrial companies eager to retrieve manuals and record tasks via voice, helping reduce downtime.
The Drop
Industrial settings brought hurdles: noisy environments hurt voice recognition accuracy, hardware requirements complicated deployments, and conservative organizational cultures slowed adoption.
The Reset
Datch responded by refining its algorithms for industrial noise, building integrations with enterprise asset and work-order management systems, and adding offline support. In July 2022, the company raised a US$10 million Series A (led by Blackhorn Ventures) to scale enterprise operations and enhance software capabilities.
The Discipline
The team focused on domain-specific voice models (industrial jargon, acronyms), collaborated closely with clients in manufacturing, energy, and aviation, and invested heavily in product reliability under real-world conditions. They also built privacy, security, and offline-capable features to meet enterprise standards.
The Climb
With improved accuracy and product maturity, Datch progressed from pilots to multi-year enterprise contracts. The 2022 funding round fueled global deployment and functional expansion, driving broader adoption across industries.
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