London startup Builder.ai and the biggest AI fraud in history
The technology world has been rocked by a scandal that exposed one of the biggest artificial intelligence frauds in modern history. London-based startup Builder.ai, formerly known as Engineer.ai, which presented itself as a pioneer in AI-powered software development, was exposed as a sophisticated fraud in which 700 Indian engineers performed the work manually instead of advanced artificial intelligence. This case not only defrauded major investors, including Microsoft, of hundreds of millions of dollars, but also called the credibility of the entire AI startup sector into question.
The beginning of the end
Builder.ai was founded in 2016 by Sachin Dev Duggal with the ambitious vision of a revolutionary no-code platform. The startup presented itself as a pioneer in artificial intelligence that had allegedly developed advanced AI technology capable of automatically creating software applications with minimal human intervention. A key element of its marketing strategy was an assistant called "Natasha," which was meant to represent the pinnacle of its AI technology. This supposedly revolutionary system promised customers the ability to create complex software applications within hours or days, something that would normally take weeks or months using traditional development methods. Thanks to these promises, Builder.ai quickly became a star of the investment world. The company managed to attract major investors and raised more than $450 million from renowned institutions over the course of its existence. Its main investors included technology giant Microsoft, Qatar's sovereign wealth fund Qatar Investment Authority, SoftBank's DeepCore, and the International Finance Corporation (IFC). The startup reached the peak of its success when it achieved a valuation of $1.5 billion, officially making it a "unicorn"—a startup valued at more than one billion dollars.
However, the reality was dramatically different from the marketing promises. Instead of sophisticated artificial intelligence that would automatically generate code, the company actually relied on a network of approximately 700 engineers based in India who manually wrote all the code for customers. The system worked by forwarding requests submitted by customers through the Builder.ai platform to teams of Indian programmers, who manually programmed the applications. The result was then presented to the customer as a product of advanced AI technology. This deception was carefully concealed by a sophisticated user interface and marketing materials that created the impression of a fully automated process. Customers interacted with a platform that provided them with updates on the progress of their projects, unaware that behind every response was a real person sitting in an Indian office. The system was designed so perfectly that it managed to maintain this illusion for many years.
Something doesn't add up!
The first warning signs began to appear as early as 2019, when the prestigious Wall Street Journal published an investigative article questioning Builder.ai's claims about its AI capabilities. The investigation revealed that most of the coding was performed manually and that the involvement of artificial intelligence had been significantly exaggerated. Despite these warnings, however, investors and the wider technology community largely ignored the signs, allowing the startup to continue its fraudulent practices.
The truth finally came to light thanks to courageous whistleblowers and critical voices from within the industry. Individuals such as Linas Beliūnas and Bernhard Engelbrecht played a key role by publicly exposing the true nature of Builder.ai's operations. Their revelations showed that customer requests were systematically forwarded to Indian teams that wrote all the code manually, while the company maintained a carefully constructed illusion of AI-powered automation. When the truth finally became public, Builder.ai's financial situation rapidly deteriorated. The company defaulted on a $50 million loan from Viola Credit, leading to dramatic consequences. The lender subsequently seized $37 million from the startup's accounts, depriving the company of the funds needed to continue operating. This left it unable to pay employee salaries or maintain its day-to-day operations.
The consequences of the scandal were far-reaching. Builder.ai was forced to file for bankruptcy, and regulatory investigations were launched to examine the extent of the fraud. The case raised serious questions about the due diligence processes of major investors and how thoroughly they verify startups' technological claims before investing hundreds of millions of dollars.
Consequences for the entire sector
The Builder.ai scandal has broader implications for the entire artificial intelligence sector and the startup ecosystem. Cases like this highlight the need for more thorough technical audits and independent verification of technological claims, particularly for companies claiming to have developed breakthrough AI technologies. Investors now face increased scrutiny regarding their due diligence processes and their ability to distinguish genuine innovation from sophisticated marketing campaigns.
The case also sheds light on the ethical issues surrounding the presentation of human labor as artificial intelligence. While the use of offshore development teams is common practice in the technology industry, deliberately concealing this fact and presenting human labor as AI constitutes a fundamental deception of both customers and investors. For the 700 Indian engineers who actually performed the work, this scandal represents a complex situation. On the one hand, their high-quality work enabled Builder.ai to deliver functional products to customers; on the other hand, they were used as part of a fraudulent scheme, possibly without fully understanding the extent of the deception committed by their employer.
Regulatory authorities are now examining what further legal action will be taken against Builder.ai's founders and management. The case is likely to lead to stricter regulations and standards for verifying technological claims in the AI sector. Investors are also reassessing their procedures for evaluating AI startups and placing greater emphasis on technical due diligence. The Builder.ai scandal serves as a cautionary tale for the entire technology industry about the dangers of excessive hype surrounding artificial intelligence and the need to critically evaluate technological claims. It demonstrates how sophisticated marketing strategies can conceal fundamental technological shortcomings and how important independent verification is before investing significant financial
