Turing is scaling on exactly this thesis.
Data spend will exceed $100B/year by 2030. The type of data will keep changing. To win will require agility and research taste.
Join @turingcom to accelerate superintelligence for all economically valuable work.
The next frontier in AI is not bigger models.
It's better training data.
The @Turingcom case study below demonstrates why factually grounded multimodal data is becoming a competitive advantage.
Who is teaching the world’s most advanced AI models to think?
At Turing, we’ve spent years building the human intelligence infrastructure behind frontier AI.
Today, we work with the world’s leading AI frontier labs, helping power the development of coding, reasoning, tool use, and multimodal capabilities that are shaping the next generation of AI systems.
Watch the full conversation with @siddharthaa7, managing partner at @neon_fund and Turing's CEO @Jonsid below.
Our CEO @jonsid recently spoke with @politico about what's actually driving progress in AI, and what most people get wrong about synthetic data.
Short version: real-world deployment is where models get better. Human-AI hybrid data pipelines beat pure synthetic. And we need to rethink education before superintelligence arrives.
Full interview below.
Turing is hiring Strategic Project Leads at gigantic scale with a focus on coding and enterprise. This is the role for people obsessed with running a tight ship while building at the frontier of superintelligence.
The job: own the human data programs that train every frontier model worth training. Work with all the frontier AI labs and neo labs. Turing is the only company in this space building both ends of the research and enterprise deployment loop.
This is a founder-mode company. We want operators with the same posture. Ex-founders, consultants, investment bankers, finance operators, technical PMs, engineers who've run a program end to end. The bar: exceptional ability and entrepreneurial DNA.
The best SPLs don't fit in the box. They break it and shape a new one.
Comment if you're interested.
Tag someone who should be. DM me or email [email protected].
I'll read every application personally.
Most browser agent benchmarks are already solved.
We built ones that aren't.
500+ tasks. 100+ templates. 50%+ model-breaking difficulty at delivery. Full case study → Below.
Great to kick off the partnership between @Payward (@krakenfx ) and @FranklnTempletn.
This partnership is about building, launching, and growing.
We're already live with tokenized FT ETFs on @xStocksFi, live and growing AUM and transaction volume across dozens of off and on chain networks.
https://t.co/GMvMB36wAz
Welcome to the @reapglobal team!
The deal comes in at a $600M with @Payward (@krakenfx ) valued at $20B.
Reap leads at leveraging crypto tech to improve the old legacy system making it better, faster, cheaper, and more global. Specifically, they made card issuance + stablecoin settlement a reality with clear benefits for customers.
Reap will plug into Payward services, Kraken, and the rest of our products to further grow the financial infrastructure of the future.
Check out Payward services and Reap if you're keen to leapfrog your peers.
https://t.co/QsT5wTpY5o
In 2025, our power-first, innovation-driven strategy delivered at scale.
We signed a 15-year AI infrastructure lease at River Bend valued at $7.0 billion. We commercialized next-generation data center architecture at Vega. We launched a dedicated, publicly traded Bitcoin accumulation subsidiary and divested non-core assets to streamline our capital allocation framework. And we exited the year with an 8,500 MW development pipeline, setting the foundation for scalable, repeatable execution in 2026 and beyond.
Most AI benchmarks test coding.
Real-world science is far more demanding.
We delivered 2,000+ scientific coding tasks with verified answers, built for frontier model training on benchmarks like SciCode.
Here’s what that actually means ↓
AI labs need data that only elite professionals can provide.
Turing Frontier connects them directly to those experts.
This is how better models get built.
Excited to share that Turing contributed to Enterprise Ops Gym, @ServiceNowRSRCH's new enterprise agent benchmark submitted to ICML.
Enterprise Ops Gym moves beyond short-horizon tool calls and evaluates end-to-end enterprise operations across realistic, multi-system workflows.
The paper, website, dataset, and code is below.
Turing is a research accelerator for Superintelligence.
We’re helping frontier labs improve model capabilities in coding, RL, and agentic reasoning across economically valuable knowledge work.
We’re ramping up our R&D team. DM me if you’d like to join our teams in SF, Palo Alto and Bangalore.
You’ll work closely with me and our stellar research team @turingcom.
BREAKING: @krakenfx just became the first crypto firm to gain access to the Federal Reserve's core payments system, putting it on the same payment rails as thousands of U.S. banks and credit unions.