Startups > Turing

Turing

Turing helps AI labs and enterprises build smarter AI systems and applications.
Series E $225M total Founded 2018 Palo Alto, California 4314 employees
Turing is a three-pronged AI platform founded in 2018 that works with frontier AI labs to advance LLM reasoning and coding capabilities, builds enterprise AI applications for Fortune 500 companies, and operates a talent cloud of 4M+ vetted software engineers and data scientists. The company powers its services through an AI-driven vetting and matching engine plus ALAN, a fine-tuning platform for model development. Turing has evolved from a remote engineering hiring marketplace into a critical infrastructure player in AGI advancement and enterprise AI deployment.
Problem solved
Frontier AI labs lack sufficient high-quality training data and code for advancing LLM reasoning and coding capabilities, while enterprises struggle to build production-grade AI systems without access to vetted talent and specialized infrastructure.
Target customer
Frontier AI labs (OpenAI, Anthropic, etc.), Fortune 500 enterprises, and companies building enterprise GenAI applications requiring vetted technical talent and model training infrastructure.
Website LinkedIn Crunchbase Twitter / X
Founders
J
Jonathan Siddharth
CEO & Co-Founder
Stanford MS in AI; previously CEO of Rover (acquired by Revcontent), machine learning scientist at Powerset (acquired by Microsoft).
V
Vijay Krishnan
CTO & Co-Founder
Stanford MS in Computer Science, IIT Bombay graduate; 20+ years in ML for text categorization and personalized search; previously Founder & CTO of Rover, SVP Data Science at Revcontent.
R
Rohan Aroe
Co-Founder
Funding history
Seed $14M August 2020 Led by Foundation · Unknown
Series B $32M December 2020 Led by WestBridge Capital · Unknown
Series D $87M December 2021 Led by WestBridge Capital · Unknown
Series E $111M March 2025 Led by Khazanah Nasional Berhad · AltaIR Capital, WestBridge Capital, Sozo Ventures, UpHonest Capital, Amino Capital, Plug and Play, MVP Ventures, Fortius Ventures, Gaingels, Mastodon Capital Management
Total raised: $225M
Industries
Artificial Intelligence (AI) Generative AI Information Technology Machine Learning Software Engineering
Pricing
Turing quotes engineers at $100–$200/hour blended rate ($17,300–$34,600/month for full-time 40-hour/week engagements). Turing retains 50–55% margin, with the remainder reaching the engineer. Detailed subscription tiers not publicly disclosed.
Notable customers
OpenAI (confirmed partnership for LLM training data generation), Fortune 500 companies (not named specifically)
Integrations
React, Next.js, Node.js, Cloudflare, Google Workspace, Zendesk, Hotjar, Heap, Google Analytics, FullStory, Google Tag Manager, Mailgun
Tech stack
React (JavaScript frameworks) Next.js (Web servers) Zendesk (Documentation) Hotjar (Analytics) Heap (Analytics) Google Analytics (Analytics) FullStory (Analytics) Node.js (Programming languages) Google Workspace (Email) Cloudflare (CDN) Google Tag Manager (Tag managers) Mailgun (Email)
Website
turing.com/
Competitors
Toptal
Toptal focuses primarily on remote talent hiring with less emphasis on AI model training and frontier LLM development.
Gun.io
Smaller talent marketplace without the AI advancement and enterprise GenAI application capabilities.
Upwork
General freelance platform without specialized AI vetting, LLM training infrastructure, or frontier model development focus.
Why this matters: Turing has successfully pivoted from a hiring marketplace into critical infrastructure for the AI frontier. With confirmed partnerships with OpenAI and a $2.2B valuation, it sits at the intersection of talent access, model training, and enterprise AI deployment—making it one of the few companies enabling both AGI advancement and real-world AI commercialization.
Best for: AI labs advancing frontier models and Fortune 500 enterprises building production-grade AI applications who need vetted talent, training infrastructure, and specialized expertise.
Use cases
LLM Reasoning and Coding Improvement
Frontier AI labs partner with Turing to generate high-quality training code and reasoning examples that improve LLM capabilities. Turing's vetted engineer pool creates specialized datasets for reinforcement learning and model fine-tuning, directly accelerating AGI advancement.
Enterprise AI Application Development
Fortune 500 companies use Turing Intelligence to build mission-critical AI systems without managing their own talent infrastructure. Turing's AI-powered vetting matches the right engineers and data scientists to specific enterprise AI priorities, reducing deployment time and complexity.
Model Evaluation and Fine-tuning
Organizations use Turing's ALAN fine-tuning platform to accelerate model evaluation workflows, reinforcement learning, and agent development. The platform combined with the vetted talent cloud enables rapid experimentation and iteration on frontier models.
Alternatives
Anthropic's internal teams Builds everything in-house; doesn't use external platforms for LLM training data generation.
Scale AI Focuses on data labeling and curation rather than talent sourcing; broader data infrastructure play but less engineering-centric.
Toptal Pure talent marketplace without specialized AI model training or fine-tuning platform capabilities.
FAQ
What does Turing do? +
Turing operates three core businesses: partnering with frontier AI labs to improve LLM reasoning and coding capabilities (Turing AGI Advancement), building enterprise AI applications for Fortune 500 companies (Turing Intelligence), and operating a global talent cloud of 4M+ vetted engineers and data scientists. The platform uses AI-powered vetting and matching plus ALAN, a fine-tuning platform for model development.
How much does Turing cost? +
For talent sourcing, engineers are quoted at $100–$200/hour blended rate, translating to $17,300–$34,600/month for full-time 40-hour/week engagements. Turing retains 50–55% as its margin. Enterprise AI development and LLM training pricing is custom and not publicly disclosed.
Who are the founders of Turing? +
Jonathan Siddharth (CEO), Vijay Krishnan (CTO), and Rohan Aroe. Siddharth and Krishnan previously co-founded Rover, an AI discovery engine, and have 20+ years of combined experience in ML, AI, and personalized search.
What makes Turing different from competitors? +
Unlike pure talent marketplaces (Toptal, Upwork), Turing uniquely combines three capabilities: direct partnerships with frontier AI labs for LLM training, enterprise AI application development, and specialized infrastructure (ALAN) for model fine-tuning and evaluation. It's positioned as critical infrastructure for AGI advancement, not just a hiring platform.
How much funding has Turing raised? +
Turing has raised $225M across four rounds: $14M Seed (2020), $32M Series B (2020), $87M Series D (2021), and $111M Series E (March 2025). The company achieved unicorn status in December 2021 at a $1.1B valuation; Series E doubled it to $2.2B.
Tags
AI talent LLM training model fine-tuning AGI advancement enterprise AI remote engineering distributed teams AI infrastructure