Gretel

Honored to see Gretel recognized by Fast Company as one of the most innovative AI companies in the world! This award is a testament to the incredible work our team has put in over the last five years—and a sign that the world is waking up to privacy-preserving synthetic data as the sustainable path to responsible AI. Check out the full Fast Company Most Innovative Companies list here: https://lnkd.in/ekxmwYzp #AI #SyntheticData #Privacy #MostInnovativeCompanies

Amazing time at the AI after Dark happy hour last night with Gretel, Weights & Biases, @lambda labs and NVIDIA at #GTC

Incredibly proud of Ali Golshan and the Gretel team for this recognition as one of the top 10 most innovative AI companies for 2025. A great start to the year with lots more to come!

Attending #GTC25? Here are two events you shouldn't miss tonight: ?? Demo: Synthesizing Dialogues at 3 PM Stop by Microsoft’s Booth (#514) to catch Gretel's Product Lead, Kirit Thadaka, demoing how to create synthetic dialogue datasets. These can be used to develop and enhance conversational AI applications, including customer support chatbots, virtual assistants, and interactive learning systems. ?? Happy Hour Tonight at 7:30 PM After a full day of compute and GPUs, join Gretel, Lambda, NVIDIA, VAST Data, and Weights & Biases at the “AI After Dark” party for free cocktails and IBUs. Reserve your spot here: https://lnkd.in/e_9mjCzr See you there! #SyntheticData #AI #NVIDIAGTC #SuperBowlAI

We are thrilled that Gretel has been named of The Most Innovative Companies of 2025 by Fast Company. It is great to see the emergence of synthetic data and its impact on AI get the recognition it deserves. ??

Synthetic data with embedded reasoning traces is a powerful, accessible way to train AI. Here’s why it makes a difference: Enhanced Transparency and Trust ??? By providing a clear, step-by-step explanation with every synthetic example, errors are easier to spot and correct—ultimately boosting the reliability of AI systems. Systematic Generalization with Human-Like Logic ?? When models learn why certain answers are correct, they’re better prepared to handle new problems. A key technique is “spoonfeeding” via synthetic reasoning traces—like the approach used in Phi?4—where a model builds its reasoning step by step to arrive at robust conclusions. Alignment with Advanced Reinforcement Learning Techniques ?? DeepSeek-R1’s GRPO algorithm rewards correct final answers rather than the quality of the chain-of-thought. Yet, the released model benefits greatly from a supervised fine-tuning warm start on high-quality synthetic traces. There’s room to push this further by including these traces in the reward signal—helping models interpret user cues and make more transparent decisions. Cold-Start Training for Reinforcement Learning ?? Even a small, high-quality collection of problem-solution pairs can fill the “empty blackboard” at the start of training. Though these examples may be modest in volume, they can jump-start learning without relying on costly, human-provided data. If you want to generate your own synthetic dataset with everyday scenarios enriched by detailed reasoning traces, check out this blog (https://bit.ly/41yhM3o) or follow along in this notebook (https://bit.ly/4iBKvKx). #syntheticdata #reasoning #LLMs #AI

?? The countdown is on! NVIDIA GTC is just days away, and we can’t wait to connect with you. ?? Visit us at Booth #3236 in the Generative AI Pavilion to see how synthetic data can transform your AI/ML initiatives: ? Eliminate data bottlenecks in your workflows ? Protect privacy while preserving sensitive information ? Generate high-quality, realistic datasets to enhance AI models ?? Let’s connect! Book a meeting: https://bit.ly/4irCwzo Don’t miss out—stop by and see how Gretel is shaping the future of AI! #NVIDIAGTC #GTC25 #AI

"Instead of building another wrapper around data, what if we could simply make the data safe?" – Alexander Watson, Co-founder of Gretel . Gretel is redefining AI development by unlocking the power of synthetic data. With privacy concerns and compliance hurdles slowing innovation, its multimodal platform enables companies to create high-quality, regulation-free datasets. Fortune 500 firms like Google, SAP, and Snowflake are already leveraging this game-changing technology. Built by a team of seasoned entrepreneurs, Gretel is a developer-first company, offering cloud-native tools, open-source transparency, and frictionless data access. With over 100,000 active users and growing, it’s clear that synthetic data is the future of AI. Will synthetic data reshape the AI industry and make data access seamless for enterprises? Read more to explore how Gretel is leading the charge: https://lnkd.in/gvzcwuJq John Myers Ali Golshan #gretelai #aidevelopement

?? A is for Agentic workflows that preserve privacy? B is for Bias reduction and enhanced compliance C is for Compound AI System verification and validation … G is for Gretel, pioneering this space … Now, you know our ABCs. Come see Alexander Watson at GTC! 03.20.25 at 11am Pacific. #NVIDIA #GTC25

?? Join Gretel & NVIDIA at #GTC25: The ABCs of Synthetic Data Generation (SDG) Discover how synthetic data is transforming #AI with: - Alex Watson, Gretel Co-founder & Chief Product Officer - Jane Polak Scowcroft, NVIDIA Senior Director of Generative AI Data Strategy ?? Thursday, March 20 | ? 11:00 AM - 11:40 AM PDT What we'll cover: ?? How synthetic data improves AI model performance and generalization ?? Using SDG with RAG systems to fuel AI data flywheels ?? Creating synthetic traces to enhance model reasoning ?? Leveraging Nemotron-4 to streamline SDG workflows ?? Don't miss out—Register now: https://bit.ly/4ih6JkW #NVIDIAGTC #SyntheticData