Ascentt Tech Stack

AI and data platform for manufacturing and enterprise operations

Software Development Plano, Texas 201–500 employees Founded 2007 Privately Held

Ascentt pairs manufacturing domain expertise with a full-stack AI and data infrastructure: AWS, Azure, Snowflake, Databricks, SageMaker, and orchestration via Airflow and Kubeflow. The project list—MES implementation, Industry 4.0 design, OT/IT bridging, shop-floor-to-cloud data pipelines—reveals a company solving the intersection of operational technology and enterprise AI. Engineering and data hiring dominate (10 of 14 roles), with seniority skewed toward senior and principal levels, indicating a team scaling both delivery and technical depth in complex environments.

Tech Stack 95 technologies

Core StackAWS Datadog Terraform CloudFormation Kubernetes Python PySpark Amazon SageMaker scikit-learn TensorFlow PyTorch Docker Apache Airflow Kubeflow Snowflake Okta Databricks SageMaker Jenkins MES Azure AWS ECS Bash XGBoost Ignition WinCC OA Siemens OpCenter AWS EKS AWS Batch PowerShell+63 more

What Ascentt Is Building

◆Challenges

Scaling cloud infrastructure
Optimizing llm performance
Improving machine reliability
Optimizing production scheduling
Monitoring system performance
Turning enterprise data into real-time decisions
Bridging ot and it
Seamless data flow shop floor to cloud
Automating manual processes
Optimizing data flow

▲Active Projects

Mes implementation
Aws architecture design
Manufacturing transformation
Digitalization project
Cloud infrastructure management
Ci/cd pipeline development
System monitoring and incident management
Industry 4.0 solution design for automotive manufacturing
Data architecture for manufacturing environments
Snowflake sso/okta integration

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Engineering

Data

Manufacturing

Ops

Sales

Seniority

Senior

Mid

Director

Principal

Notable leadership hires: Business Development Director

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About Ascentt

Ascentt delivers AI and data solutions for mid-market and enterprise manufacturing and operations. Founded in 2007, the company has spent 15+ years building analytics and data infrastructure; the current shift toward machine learning (SageMaker, TensorFlow, PyTorch) and real-time decision automation reflects a pivot toward AI-driven workflows. The technology spans manufacturing execution systems (MES), cloud infrastructure (AWS and Azure), and data platforms (Snowflake, Databricks), with heavy emphasis on bridging operational technology (shop-floor systems like Ignition, WinCC OA, Siemens OpCenter) and IT cloud systems. The company is headquartered in Texas and operates teams in the United States and India.

HeadquartersPlano, Texas

Company Size201–500 employees

Founded2007

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Ascentt use for AI and data?

Ascentt uses AWS, Azure, Snowflake, Databricks, Amazon SageMaker, TensorFlow, PyTorch, scikit-learn, and XGBoost. Orchestration runs on Apache Airflow and Kubeflow; infrastructure via Kubernetes, Docker, Terraform, and CloudFormation.

What is Ascentt working on?

Current projects include MES implementation, AWS architecture design, Industry 4.0 solution design for automotive manufacturing, cloud infrastructure management, CI/CD pipeline development, and Snowflake SSO/Okta integration. Core focus is bridging operational technology and IT for manufacturing environments.

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How this profile is built

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.