FireVisor raises seed funding to bring data science to the manufacturing floor

FireVisor, a Singapore-based artificial intelligence startup providing software for large manufacturing companies, has raised a seed round worth six digits in US dollars, which was led by the 500 Startups Durians II Fund and Acequia Capital and joined by SGI along with Entrepreneur First.

The founders, Surbhi Krishna Singh and Long Hoang, believe their product is better than the simple software automation available to manufacturers today. FireVisor’s platform connects to data sources in the manufacturing line to automatically perform engineering failure analysis in real-time. It can help manufacturing companies save costs otherwise lost to product failures and quality issues.

“Today, an army of human inspectors are needed to make sure no fault escapes the production line, while process control engineers constantly tweak and monitor machines. The machines, on the other hand, produce an abundance of valuable data but these vast amounts of data are unused and simply get discarded,” says Singh, CEO and co-founder of FireVisor.

Launched in 2018, the company already has clients in Southeast Asia, India, and China, including major solar panel manufacturer REC Solar.

Before starting FireVisor, Singh worked for manufacturing giants like Micron and Seagate as an engineer. She helped automated various engineering processes.

Hoang, meanwhile, started as a robotics engineer focusing on vision systems for robots. Later, he worked with backend systems and data pipelines at various startups.

A number of startups are attempting to modernize manufacturing with data science and software. One of them is Arcstone, which is also Singapore-based.