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Startup Atlas · Artificial Intelligence

Turing Unicorn

Turing Enterprises, Inc. San Francisco, California Founded 2018 turing.com ↗
Jonathan Siddharth · Co-founder & CEO Vijay Krishnan · Co-founder & CTO
$244 MnTotal funding (tracked)
4Funding rounds
6 Mar 2025Last round

Turing: Business Model Canvas

The nine-block Business Model Canvas, filled in only where a public source states it — empty blocks mean we haven't found a citable fact yet, not that the answer is zero.

Value Propositions

Push-button hiring of vetted remote developers

An automated AI platform that lets companies vet, hire, and manage remote software developers worldwide.

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Research acceleration for frontier AI labs

High-quality data and advanced training pipelines that push the boundaries of reasoning, multimodality and STEM for AI labs.

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Turning AI pilots into production systems for enterprises

Helps enterprises convert AI from experimental projects into systems that perform, deliver impact, and drive results on the P&L.

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Customer Segments

Frontier AI labs

Companies building large language models that need human-expert data, coding, and evaluation work, including OpenAI.

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Global enterprises

Companies deploying advanced AI systems that Turing helps convert AI projects into production systems.

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Companies hiring remote developers

Turing's original business: companies that use its platform to vet, hire, and manage remote software developers worldwide.

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Customer Relationships

No cited public information yet.

Channels

turing.com self-serve platform

Companies engage directly through the Turing platform to source and manage talent.

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work.turing.com developer portal

Direct recruitment portal where developers sign up and are matched to roles/assignments.

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Key Activities

Sourcing, vetting and matching developers/experts

AI algorithms source, vet, match and manage remotely located developers and domain experts for clients.

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AI model evaluation and training-data generation

Domain experts evaluate AI model outputs (scientific coding, chemistry, physics, mathematics, medical specialties, finance, engineering) and refine model training/instruction quality.

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Key Resources

Global network of ~4 million coders/experts

Turing works with some 4 million coders around the world who contribute code and evaluation work to AI projects.

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AI vetting/matching platform

Proprietary AI algorithms used to source, vet, and match developers/experts to client work.

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Key Partnerships

Anthropic

Listed as a partner company Turing works with, on Turing's homepage.

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Google (Gemini)

Listed as a partner company Turing works with, on Turing's homepage.

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Nvidia

Listed as a partner company Turing works with, on Turing's homepage.

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OpenAI

Turing assists in the building of LLMs for OpenAI and other LLM producers.

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Revenue Streams

Task/assignment-based compensation model

Experts are paid per task (e.g. $150-$1,000 per assignment) for AI evaluation and training work; Turing's revenue comes from clients paying for this talent/output.

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Annualized recurring revenue ~$300M

Turing currently generates around $300 million in ARR (annualized revenue run rate); ARR stood at $167 million when the Series E round was priced.

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Cost Structure

No cited public information yet.

FAQs on Turing

What is Turing's business model?

Turing's core value proposition centers on Push-button hiring of vetted remote developers, Research acceleration for frontier AI labs, Turning AI pilots into production systems for enterprises.

How does Turing make money?

Turing's cited revenue streams include Task/assignment-based compensation model, Annualized recurring revenue ~$300M.

Sources & corrections. Every fact on this page is compiled from cited public sources — follow the “source” links beside each entry. Profile sources: www.turing.com opencorpdata.com www.turing.com www.prnewswire.com · Last verified 17 Jul 2026. · Report a correction