Investigations revealed that the company’s much-touted AI assistant, “Natasha”, was largely a façade – most of the work was done manually by 700 engineers based in India.
Left with only $5 million in restricted funds, the company’s operations across five countries – including India, the UK, and the US – came to a standstill. With regulatory issues freezing fresh capital, Builder.ai failed to pay staff, leading to nearly 1,000 layoffs.
Also, the company reportedly owe $85 million to Amazon and $30 million to Microsoft in unpaid cloud services. A US federal probe is underway, with investigators seeking access to their financial and client data.
Builder.ai’s downfall has reignited concerns around “AI washing” – branding basic tech services as AI to capitalise on investor excitement. Phil Brunkard of Info-Tech Research Group noted that many start-ups “scaled fast without robust technology or governance”, riding a wave of unchecked hype.
With regulators now probing how AI firms market their products, the Builder.ai episode has become a cautionary tale. What was sold as an AI revolution turned out to be a conventional outsourcing firm cloaked in buzzwords. The result: employees out of work, millions in investor losses, and renewed demands for transparency and accountability in the AI start-up ecosystem.




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