Turing has secured $111 million in Series E funding to power the next wave of AGI infrastructure, reinforcing its leadership in advancing frontier AI research and real-world applications. This latest round values Turing at $2.2 billion and brings total funding to $225 million since its founding in 2018. The round was priced when Turing reached $167 million in annualized revenue run rate (ARR), underscoring the company’s rapid growth and market momentum.
Powering AGI Progress at Scale
Turing operates across two interconnected business lines that fuel AI model advancement and real-world AI applications:
- Turing AGI Advancement: Collaborates with leading AI labs to push frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, and STEM knowledge.
- Turing Intelligence: Applies these advancements to build mission-critical AI systems for Fortune 500 enterprises, driving AI adoption at scale.
Together, these business lines form a closed-loop AI infrastructure, where Turing improves foundation models while simultaneously leveraging those improvements in real-world applications.
Turing’s AI-powered vetting and matching engine and its fine-tuning platform, ALAN, serve as core enablers of this growth, accelerating workflows in model evaluation, fine-tuning, reinforcement learning, and agent development.
Introducing Real-World AI Benchmarks
In line with its commitment to advancing AGI, Turing recently introduced a new suite of AI benchmarks designed around practical, high-impact tasks. These benchmarks span five key categories, each reflecting real-world complexities and workflows:
- Software Engineering: Challenges ranging from tasks suitable for junior developers to problems requiring advanced code generation and system design skills.
- Data Science: Benchmarks covering the full lifecycle of data science projects, from data ingestion and cleaning to model training and deployment.
- Math: Numeric and symbolic reasoning challenges that focus on open-ended problem-solving and interdisciplinary applications.
- Multimodal Reasoning: Tasks that require integrating and reasoning across multiple data types, such as text, images, and videos.
- Industry-Specific Benchmarks: Customized evaluations tailored to the unique challenges and requirements of various industries.
For more information on these benchmarks, visit our blog post on rethinking AI benchmarks for real-world impact.
Driving AI Adoption in a Transforming Market
The demand for high-quality, specialized AI data is surging, while falling inference costs and price-performance breakthroughs make AI more accessible than ever. Turing is uniquely positioned to lead in this era, ensuring that AGI advancements translate into tangible industry impact.
“With a mission to unleash the world’s untapped human potential, we’ve built a powerful AGI infrastructure that not only improves AI models but also applies them in ways that create real-world value,” said Jonathan Siddharth, CEO of Turing. “This funding reaffirms investor confidence in our ability to drive AGI forward, from frontier AI research to enterprise AI adoption.”
Scaling for the Future of AGI
With the backing of leading global investors—including Khazanah Nasional Berhad, WestBridge Capital, Sozo Ventures, Uphonest Capital, AltaIR Capital, Amino Capital, Plug and Play, MVP Ventures, Fortius Ventures, Gaingels, and Mastodon Capital Management—Turing is positioned to accelerate R&D, go-to-market expansion, and enterprise AI adoption across industries.
As AGI evolves, Turing continues to drive the next era of AI innovation, ensuring that frontier AI breakthroughs reach real-world impact faster than ever.
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