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Mechanized AI
Our No-Code platform simplifies your end-to-end AI/ML journey by automating complex tasks for Data Mgt, ML Infrastructure and ML DevOps
AWS Partner Highlights
1 AWS Service Validations
5+ AWS Certifications
5+ AWS Customer Launches
Free up high-end resources for strategic activity and automate your ML workflows for: Maturity and Engagement Scoping Assessments, Data Import + Cleaning Pipelines, Automated Data Lakehouse Creation + Management, Machine Learning + Deep Learning Model Creation/Import, Model Evaluation on Performance + Responsible Al Metrics, Model Deployment, Performance Monitoring on Operations + Model Metrics
AWS Partner Website
us
Headquarters
Atlanta
21 Jump St
Atlanta, Georgia 30313
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AWS Partner descriptions are provided by the AWS Partner and are not verified by AWS.
AWS Validated Qualifications
AWS Service Validations
  • Amazon SageMaker Ready Product
Solutions (4)

Sorted by: A-Z

solution validation level iconAdvanced

Amazon SageMaker Ready

mAI Modernize
mAI Modernize uses GenAI to accelerate legacy application transformation and allow organizations to retire technical debt through Code Map, Code Mine and CodeGen modules that deploy inside a client's AWS account.
solution validation level iconFoundational

Mechanized AI Studio
Our No-Code ML Studio module with built-in Generative AI Studio allows you to run ML Experimentation using best-in-class ML Models and training capabilities. Easily integrate with any AI library, automate Artifact Tracking & Versioning, re-use your AI model workflows & assets, and automate your ML Deployment pipelines. Our platform is built on an optimized and secure cloud infrastructure and is capable of auto-scaling CPUs & GPUs all while providing full support to your ML Engineering and DevOps teams. Lastly, we’ve built this platform with Responsible & Explainable AI best practices.
solution validation level iconFoundational

Mechanized Data Lab
Take control of your data by first ingesting all of your disparate data into a single platform and then cleaning it (normalization). This will allow you to Explore and Visualize the data using our Big Data Dashboards. This module also allows for Data Lakehouse Storage with built-in Data Privacy, Data Catalogs, and Access Control. This results in Cost Optimization as well as Data Monitoring & Validation all under a single pane of glass.
solution validation level iconFoundational

Mechanized Insights
Mechanized Insights: Evaluate your organization’s Machine Learning (ML) maturity level, analyze disparate data sets, and identify gaps in your data integrity and ML readiness.
Locations (1)
Headquarters

Atlanta

21 Jump St

Atlanta, Georgia, 30313, United States