Webinar | Synthetic Data Generation

Generate high-quality synthetic data with agentic pipelines

Struggling to collect and label data? Get started with a few examples and expand your dataset non-linearly.

April 30 | 10:00 - 10:45 AM PT

In this webinar, you will learn how to overcome one of the biggest barriers to successful model performance: curating high-quality data. Manually labeling thousands of examples is costly and time-consuming—and it’s slowing down your AI initiatives.

As DeepSeek has proven, it is possible to create synthetic data that outperforms human-labeled datasets in quality and consistency. You don’t need a team of AI PhDs to build this yourself. Agentic data pipelines are built into our platform to enable you to easily generate, evaluate, and refine your data sets with minimal manual effort.

You’ll learn:
How to build and reuse agentic data pipelines
Best practices for data quality, diversity, and alignment
Real-world applications and a live demo of our agentic data pipelines in action

Featured speakers:

Scott Gay Lamini Solutions Architect
Scott Gay
Solutions Architect
Building generative AI solutions for Fortune 500 companies

Want a customized Text-to-SQL demo?

We'd love to hear about your use case and share how we can help.
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Lamini helps enterprises reduce hallucinations by 95%, enabling them to build smaller, faster LLMs and agents based on their proprietary data. Lamini can be deployed in secure environments —on-premise (even air-gapped) or VPC—so your data remains private.

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