As AI companies race to improve the accuracy of Large Language Models and apps built on top of them, a startup that has emerged as a key partner in fulfilling that effort is announcing a significant round of funding to expand. Turing, which works with armies of engineers to contribute code to AI projects those projects include assisting in the building of LLMs for OpenAI and others, as well as Generative AI apps for enterprises has picked up a Series E of $111 million, doubling its valuation in the process to $2.2 billion.Turing makes around $167 million in ARR (annualized revenue run rate), and it is already profitable, CEO Jonathan Siddharth said in an interview with TechCrunch. The plan will be to use the funding to double down on expanding its business to more customers and to more use cases. Turing today says that it works with some 4 million coders around the world. Malaysias sovereign wealth fund Khazanah Nasional Berhad is leading the round, with participation also from Westbridge Capital, Sozo Ventures, Uphonest Capital, AltaIR Capital, Amino Capital, Plug and Play, MVP Ventures, Fortius Ventures, Gaingels, and Mastodon Capital Management. Palo Alto-based Turing has raised $225 million to date.Turings turn as a major partner to AI companies was not how the company got its start. Originally, it was, effectively, an HR tech startup. Specifically its early product was a platform for vetting and hiring remote-work coders, a business that started to take off during the Covid-19 pandemic with the worlds growing appetite for better tools to source and work with remote teams. That business was strong enough to catapult the company to unicorn status.It was also strong enough to start catching a different kind of attention.As this story from Semafor last year recounts, Siddharth was summoned in 2022 to OpenAI for a meeting, which he thought would be to talk about recruiting engineers for the startup. Instead, it turned out to be a proposition. OpenAI researchers had discovered that code added into training datasets helped improve the models reasoning capabilities, and it wanted Turings help to generate that code.Siddharth obliged and that set off a whole new business focus for the startup, which he says now works with a number of foundational AI companies to provide similar services, as well as with companies that build apps on top of those LLMs.We could not have predicted the ChatGPT moment, he said this week, and he couldnt have predicted how the infrastructure he built for hiring coders would place Turing itself into the middle of the action. I dont think people knew how important software engineering tokens [would be] to teach an LLM to think and reason and code.But it hasnt been a pivot. Siddharth was quick to correct me when I used the word, and he pointed out that Turing still generates substantial revenue from its older business sourcing coding talent, although he would not disclose how much.They are all growing, he said of the different business lines. We are stepping on the gas to scale up R&D, and scale up sales and marketing across all three businesses. We are in rapid expansion mode.However, the main focus in terms of new business, it seems, will be to continue doubling down on its work in AI as a coding provider for the building of future LLMs a division Turing optimistically calls Turing AGI Advancement and in its work on apps and services built on those LLMs under the banner of Turing Intelligence.