AI, data engineering and Industry 4.0 services for manufacturers
Ascentt is a Plano-based AI and data services firm whose stack spans cloud lakehouses (Databricks, Snowflake, Microsoft Fabric) and shop-floor systems like Siemens Opcenter, Ignition and WinCC OA. That OT-plus-IT mix, along with automotive tooling such as dSPACE and Vector CANape, points to a manufacturing-heavy client base. Hiring is accelerating and skews senior and engineering-led, centered on MES rollouts and Industry 4.0 work.
Notable leadership hires: Business Development Director
Ascentt is a privately held technology services company founded in 2007 and headquartered in Plano, Texas, with 201–500 employees. It delivers AI, data science, analytics and BI services, along with application maintenance and managed IT support. Its data work runs on Databricks, Snowflake, Azure Synapse, Redshift and BigQuery, with BI on Tableau, Power BI and Oracle BI. The company also implements manufacturing execution and industrial automation systems for enterprise clients. It hires in the United States and India.
Ascentt works with Databricks, Snowflake, Microsoft Fabric, BigQuery and Delta Lake for data, Python, React and Node.js for apps, AWS, Kubernetes and Terraform for infrastructure, and Siemens Opcenter and Ignition for manufacturing.
Job posts point to MES implementations, manufacturing and supply chain transformation programs, Industry 4.0 design for automotive manufacturing, CI/CD overhauls and infrastructure-as-code work.
Ascentt hires in India and the United States, with an accelerating, senior-heavy hiring mix focused on engineering and data roles, plus a Business Development Director opening.
Other companies in the same industry, closest in size
Ascentt's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.