Turing Enterprises, Inc. is an American artificial intelligence company based in Palo Alto, California. Known as Turing and available at turing.com, it first made its name by connecting businesses with developers recruited internationally. Its activities later expanded to meet the needs of AI labs and organizations seeking to integrate these technologies into their software and business processes.
A platform born out of remote work
Founded in 2018 by Jonathan Siddharth and Vijay Krishnan, Turing starts from a simple idea: IT recruitment should not be limited to the local talent pool around a company’s headquarters. The founders developed a platform designed to identify, assess and select software engineers capable of working remotely for clients, particularly those in the United States.
The system combines technical assessments with tools for matching candidates to assignments. It aims to reduce some of the screening work while giving businesses access to skills spread across multiple countries. This initial line of business provided Turing with a network of experts and an assessment infrastructure that later became useful resources for its expansion into generative AI.
Human expertise to improve models
Turing now works with AI model developers on data production and selection, as well as the evaluation of generated responses. This work involves specialists capable of writing examples, comparing multiple outputs or assessing the quality of reasoning. Software development is an important area of this expertise: checking code requires technical knowledge that purely automated checks cannot always adequately replace.
This activity is particularly relevant to the stages of model refinement following initial training. Human feedback can help improve models’ relevance, reliability or ability to follow instructions. Turing also offers engineering services to businesses looking to build AI applications, adapt solutions to their data or integrate these tools into an existing IT environment.
Its positioning therefore lies at the intersection of several markets: remote technical talent, engineering services and specialized data for AI. Unlike a software vendor distributing only standardized software, the company relies heavily on organizing experts’ work and on the quality of the deliverables produced.
What next?
For Turing, the challenge will be to turn this human and technical foundation into a lasting advantage. Demand could shift toward more rigorous evaluations involving lengthy tasks, software agents or specialized professional fields. Data protection, the traceability of contributions and evidence of measurable gains will be decisive. The company will also have to contend with the increasing automation of certain annotation tasks and with competition from both data providers and IT services companies.