Xyant is an AI innovation lab and data engineering firm building production-grade generative and agentic AI systems for heavily regulated sectors. The tech stack reveals a dual focus: data infrastructure (Spark SQL, Databricks, Hadoop, Kafka Streams) paired with Azure and AWS AI services (Azure OpenAI, Amazon Bedrock, SageMaker), plus Microsoft enterprise tools (Dynamics 365, Power BI). Active pain points around data governance compliance and legal-hold administration, combined with projects in ediscovery and vault retention, suggest financial-services or healthcare verticals. The hiring pattern—small product team with embedded legal—signals a compliance-first business model.
Xyant develops AI systems and data engineering solutions for Global 1000 companies operating in regulated industries. The company is headquartered in Oklahoma City and employs 11–50 people, with core competencies in generative AI, agentic AI, and data pipeline architecture. Current work spans customer experience enhancement via AI, sales and support automation, and a strategic migration from Salesforce to Dynamics 365. The product team is scaling alongside legal and compliance functions, reflecting the regulatory demands of their customer base.
Xyant uses Python, SQL, Spark SQL on Databricks and Hadoop for data processing; Kafka Streams for streaming; Azure Data Lake Storage and SAP for enterprise data; Azure OpenAI Service and Amazon Bedrock for AI; and Dynamics 365, Power BI, and Tableau for business applications.
Yes. Xyant is actively migrating from Salesforce to Dynamics 365, which is listed as both a technology in use and an adopting technology, indicating an ongoing CRM transition.
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