Turing

Turing is a Palo Alto, California-based company that began as a platform for sourcing, vetting and hiring remote software engineers and has since added two AI-focused business lines. Its original product used automated, machine-learning-driven assessments (marketed as "Deep Vetting") covering technical skills, soft skills and English proficiency, matching engineers to companies through what the company described as an Intelligent Talent Cloud. That business grew during the COVID-19 pandemic as demand for remote hiring tooling increased, and shifted over time from individual placements toward managed engineering teams sold to enterprises.

Since 2022, Turing has organized work with large populations of engineers who contribute code used in training large language models, a division the company calls "Turing AGI Advancement." A second line, "Turing Intelligence," builds generative AI applications and services on top of foundation models for enterprise customers. Management has described the talent-sourcing business as continuing alongside the AI lines rather than being replaced by them. As of March 2025 the company said it worked with roughly 4 million coders worldwide while employing a number in the hundreds.

Founding story

According to an interview with co-founder Jonathan Siddharth, the idea originated in 2014 while he and Vijay Krishnan were running a prior AI company, Rover. After investors declined to fund Rover's Series A because it lacked a mobile app, the pair struggled to hire mobile engineers in Silicon Valley, where hiring was costly and slow relative to competing with large technology employers. They instead recruited remote engineers in lower-cost geographies, shipped the app and subsequently raised the Series A, concluding that talent should be sourced globally. The company was named after Alan Turing, with the founders citing the Turing Award and the Turing Test as associations with engineering excellence and AI; it initially used the domain TuringAI.net before moving to Turing.com to avoid being perceived as supplying only AI talent.

Business model

Turing sells to companies rather than to engineers, operating three related lines: sourcing and managing vetted remote software engineers (increasingly as long-term managed teams rather than gig placements), organizing large distributed engineer pools to produce code and related data for foundation-model developers, and building generative AI applications and services on top of LLMs for enterprises.

Revenue comes from enterprise engagements across the talent, model-training and AI application lines. As of March 2025 the company reported roughly $300 million in annualized revenue run rate, up from $167 million when the Series E was priced, and said it had been profitable for about a year. The split between business lines was not disclosed.

Traction

As of March 2025, Turing reported working with about 4 million coders globally, roughly $300 million ARR, approximately one year of profitability, and employees numbering in the hundreds. Earlier reporting cites a developer pool that grew tenfold and revenue that rose fourfold between 2020 and 2022, and by 2026 a platform connecting over 3 million developers across 150 countries.

Latest developments

In March 2025 Turing announced a $111 million Series E at a $2.2 billion valuation, led by Malaysia's sovereign wealth fund Khazanah Nasional Berhad, and said it would use the capital to add customers, broaden use cases and expand R&D and go-to-market across its talent, AGI Advancement and Intelligence lines.