Our mission is to accelerate superintelligence to drive real economic progress.
Joined September 2018
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2,156 Photos and videos
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At @TuringCom we're AI Forward.
@GoogleWorkspace Gemini = Success!
🤖 How can AI help teams focus more on the work that matters most?
At @turingcom, Google Workspace with Gemini now automates 80% of people ops tickets, freeing teams to spend more time on meaningful work and collaboration.→ goo.gle/4eFU2Rr
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Our SVP @TaylorFromHR on what Turing is doing to make AI accessible across everyday workflows. youtube.com/watch?v=0mmJLIE9…
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Main conference, tutorials, workshops... no sleep.
Seoul is the place to be July 6-11.
See you at COEX! Booth 8406. #ICML2026
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Jun 15
Most AI benchmarks measure model outputs.
Enterprise buyers care about something different: can models reliably generate the artifacts businesses actually use?
Turing built a benchmark spanning 1,500 validated artifacts across PPTX, DOCX, PDF, HTML, JSON, Excel, CSV, TXT, and infographic formats.
The benchmark tested leading models across four levels of complexity, from simple generation tasks to highly specific enterprise prompts with formatting, citation, and content constraints.
A key finding: generating content is not the same as generating usable artifacts.
Common failure modes included:
-Wrong output formats
-Missing downloadable files
-Citation loss after export
-Clarification loops
-File handling failures
To capture these differences, every run was evaluated using format-specific QA and a structured failure taxonomy.
The result:
-1,500 validated artifacts
-Full complexity coverage across formats
-Detailed provider and execution metadata
-99.9% artifact acceptance rate
The outcome is a clean benchmark for evaluating what matters in enterprise AI: not whether a model can answer a question, but whether it can consistently deliver the files and artifacts businesses depend on.
Link to the case study below.
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Turing retweeted
Jun 11
Benchmarks are hitting record scores.
Scientists are still waiting for models that help them finish the actual work.
Turing's Charlotte Tao and Tristan Tager will address that gap at the @ICMLconf in Seoul with a new framework for evaluating frontier AI on real scientific workflows, not just auto-gradable subtasks.
Catch their talk: Advancing Frontier Scientific Capabilities, Today and Tomorrow.
ICML 2026, Seoul, July 6-11.
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Jun 15
Attending ICML 2026 in Seoul?
Turing is hosting a Happy Hour on Wednesday, July 8 from 6:00 to 9:00 PM.
Researchers, enterprise AI leaders, and the people closing the gap between frontier models and real-world deployment, all in one room. Drinks and hors d'oeuvres included.
Register below to see the address & save your spot!
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Turing retweeted
Jun 11
Most AI benchmarks focus on text.
The real world runs on tables.
Financial statements, regulatory filings, research papers, healthcare records, and enterprise reports all contain critical information embedded in structured data. Yet table reasoning remains one of the most challenging capabilities for modern AI systems.
To help advance this frontier, @Turingcom partnered on a project to build more than 70,000 table reasoning Q&A pairs from real-world documents for AI training.
The challenge was not simply extracting information.
Models must learn to:
-Compare values across rows and columns
-Perform multi-step calculations
-Connect information across tables and surrounding text
-Interpret complex document structures
-Generate accurate answers grounded in evidence
As AI adoption accelerates across industries, the quality of training data is becoming a key differentiator.
Better models require datasets that reflect how information exists in production environments, not just in simplified benchmarks.
This project highlights an important reality: advancing AI is not only about larger models. It is also about building the high-quality datasets that teach those models how to reason. At Turing, this is our focus.
Read the full case study below:
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Turing retweeted
Jun 11
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Turing retweeted
Jun 9
Breaking into great tech jobs shouldn't require a perfect resume, or surviving six rounds of interviews.
Turing is changing that.
One assessment. No experience gatekeeping. No recruiter small talk. No application black holes.
Qualify and unlock access to remote software opportunities with Frontier Labs.
US-based students and professionals:
Take the Turing Hiring Challenge 2026 and earn $50/$250 per project.
Let your skills speak for themselves. Link below.
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Turing retweeted
Jun 9
Most annotation projects describe what's in an image.
This one required evaluators to plan a 15-shot advertising arc, specify camera motion for every shot, write 12 voice-over lines per storyboard grounded strictly in real product inputs, and validate outputs against live video generation models.
7,500 shots. 500 storyboards. 90% QA pass rate.
Full casestudy below:
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Jun 11
Most AI benchmarks focus on text.
The real world runs on tables.
Financial statements, regulatory filings, research papers, healthcare records, and enterprise reports all contain critical information embedded in structured data. Yet table reasoning remains one of the most challenging capabilities for modern AI systems.
To help advance this frontier, @Turingcom partnered on a project to build more than 70,000 table reasoning Q&A pairs from real-world documents for AI training.
The challenge was not simply extracting information.
Models must learn to:
-Compare values across rows and columns
-Perform multi-step calculations
-Connect information across tables and surrounding text
-Interpret complex document structures
-Generate accurate answers grounded in evidence
As AI adoption accelerates across industries, the quality of training data is becoming a key differentiator.
Better models require datasets that reflect how information exists in production environments, not just in simplified benchmarks.
This project highlights an important reality: advancing AI is not only about larger models. It is also about building the high-quality datasets that teach those models how to reason. At Turing, this is our focus.
Read the full case study below:
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Jun 11
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Jun 10
ICML 2026 is four weeks out and Turing will be on the ground in Seoul as a Diamond Sponsor.
Frontier research. Enterprise AI.
A few conversations worth having.
You will find us in booth #8406 and we have a few other surprises. Stay tuned! #ICML2026
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Turing retweeted
May 12
anyone going to @icmlconf let’s get in touch!
will be there with the @turingcom team chatting RL, coding agents, GDPval and physical AI đź–¤
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Jun 9
Breaking into great tech jobs shouldn't require a perfect resume, or surviving six rounds of interviews.
Turing is changing that.
One assessment. No experience gatekeeping. No recruiter small talk. No application black holes.
Qualify and unlock access to remote software opportunities with Frontier Labs.
US-based students and professionals:
Take the Turing Hiring Challenge 2026 and earn $50/$250 per project.
Let your skills speak for themselves. Link below.
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