Multi-Agent Network for Synthetic Data
Dria empowers developers to build high-performance task-driven models without utilizing their own compute resources.
Massively Parallel Inference
Dria employs thousands of nodes for a single pipeline at the same time, parallelizing the inference for generating up to ~10K tokens worth of data per second.
Extensive Model Diversity
Dria utilizes 20+ models in various ways, capitalizing on their unique strengths to ensure the highest quality throughput.
Dria Network
Complete Synthetic Data Infrastructure
A framework for creating, managing, and orchestrating synthetic data pipelines.
Grounded Generation
Agentic Search for Grounding
Dria agents autonomously explore the web according to your objectives, map entire websites, and extract data to ground your synthetic datasets.
Flexible and Scalable
Flexible, Scalable Custom Pipelines
Dria offers flexible tools for creating custom pipelines and scaling them across the network. This allows you to design complex data generation workflows tailored to your specific needs, all without the need for your own GPUs.
Collaborate
Multilingual Generation
Dria helps bridge the resource gap across languages by delivering grounding information in any language to various models.
Effortlessly create diverse, high-quality synthetic datasets in multiple languages with Dria, supporting inclusive AI development.
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