Turing data quality and collaboration has been better than working with alternatives, we’re already looking for more training data next year.

Turing at ICLR 2025
Turing is shaping the future of AGI—and we’re bringing that vision to ICLR 2025 as a Platinum Sponsor. Visit us at Booth #G08 to explore our latest demos, model improvement strategies, and cutting-edge research in representation learning.
Don’t miss our CEO & Co-founder, Jonathan Siddharth, as he shares practical strategies for improving LLM benchmarks using real-world data. Meet with our technical leaders and join us at our exclusive AGI networking event in Singapore.












See how we help top AI labs and enterprises improve reasoning, factuality, autonomy, and multimodal performance. Stop by to view hands-on demos, meet our AGI experts, and learn about our latest post-training advancements.
Making AI work for real-world needs. Learn how we close performance gaps through domain-specific testing and human-in-the-loop feedback.
Speaker: Jonathan Siddharth, CEO, Turing
Date & Time: Saturday, April 26th, 1:00 PM - 2:00 PM SGT
Location: Garnet 216-218
An evening of AGI insights + real connections. Join fellow researchers, engineers, and technical leaders at our invite-only networking mixer. Meet the minds behind today’s most advanced LLMs, discuss deep learning research and real-world applications, and connect with those building the next wave of AGI.
Date & Time: Friday, April 25th, 6:00 PM - 8:00 PM SGT
Location: A short walk from Singapore EXPO (location provided when your registration is approved)
Saturated leaderboards don’t equal deployment readiness. Join Turing to co-create the next generation of LLM evaluation frameworks—aligned with enterprise workflows and grounded in measurable impact.
Turing’s new benchmark evaluates how frontier vision-language models perform on realistic, high-complexity tasks in business and STEM domains—using multimodal prompts and free-form model outputs.
Join a global team of PhDs and experts tackling complex STEM and real-world challenges to improve reasoning, safety, and performance in cutting-edge LLMs.
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