Enterprise-grade machine learning library powered by C++ for accelerated data product development
GraphLab Create is a high-performance Python library designed for enterprises to build, train, and deploy sophisticated machine learning models at scale. Leveraging a C++-powered backend, it delivers exceptional computational speed for processing massive datasets and executing complex algorithmic operations. The platform enables data science teams to accelerate the entire ML pipeline—from exploratory data analysis and feature engineering to model training, evaluation, and production deployment. GraphLab Create simplifies the development of recommendation systems, classification models, clustering algorithms, and time-series forecasting. Through AiDOOS marketplace integration, enterprises gain streamlined access to GraphLab Create with enhanced governance, scalability optimization, and seamless API integrations into existing data infrastructure. This enables faster time-to-insight, reduced computational overhead, and enterprise-ready model governance for mission-critical data products.
Build personalized product and content recommendation engines for e-commerce and media platforms. GraphLab Create's collaborative filtering algorithms deliver accurate, scalable recommendations at enterprise scale.
Develop forecasting models for demand planning, churn prediction, and customer lifetime value estimation. Leverage time-series and regression algorithms for accurate business forecasts.
Perform advanced clustering and segmentation analysis to identify customer groups, behavioral patterns, and market opportunities. Enable targeted marketing and personalized engagement strategies.
Deploy classification models to identify fraudulent transactions, accounts, or activities in real-time. GraphLab Create handles imbalanced datasets and complex feature interactions.
GraphLab Create API pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Accelerated computation for large-scale data processing
Process datasets 10-100x faster than pure Python implementationsPre-built models for diverse machine learning tasks
Deploy recommendation, classification, clustering, and forecasting modelsHandle datasets larger than available RAM
Process multi-terabyte datasets with distributed computingDeploy models to enterprise environments seamlessly
Export models for REST APIs, batch scoring, and real-time predictionsStreamlined feature creation and transformation
Reduce data preparation time by 50% or moreOptional GPU computing for compute-intensive operations
Enable faster training for deep learning and large-scale algorithmsAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Integrate with Spark for distributed data processing and model training across clusters
Direct connectors to PostgreSQL, MySQL, and enterprise data warehouses for seamless data ingestion
Native integration with cloud object storage for scalable data access and model deployment
Full compatibility with Jupyter for interactive data exploration and model development
Export trained models as REST endpoints for application integration and real-time predictions
Containerize GraphLab models for consistent deployment across on-premise and cloud environments
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists