Synthesis Through Simulation for Enterprise Data Generation
September 23, 2026
STS is a schema-free paradigm where LLM agents generate high-fidelity enterprise data by executing operations against policy-enforcing APIs in simulated environments. This bypasses the structural limitations of tabular synthesis and the distributional weaknesses of procedure-based methods.
HOW THIS AFFECTS YOU
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builderYou can generate structurally valid, high-fidelity training data for agentic workflows without accessing sensitive production databases.
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founderThis enables faster scaling of enterprise AI products by solving the data scarcity problem.