Sold by: zeb
Deploy Amazon Chronos 2, the 120M-parameter time series foundation model, with zero-shot forecasting that eliminates months of model training. Our AWS Premier Tier consulting team delivers end-to-end implementation, from data pipelines and SageMaker/Bedrock deployment to production monitoring, all in days, not months. Chronos 2 outperforms traditional methods like ARIMA and Prophet with 90%+ win rates in accuracy benchmarks while handling cold-start scenarios, multivariate predictions, and 300+ forecasts per second on a single GPU.
Overview
Transform Your Forecasting with Zero-Shot AI
Traditional forecasting demands months of historical data, extensive preprocessing, and custom model training for every metric. Amazon Chronos 2 changes the game by treating time series data as a language problem, enabling accurate predictions without task-specific training.
zeb delivers production-ready Chronos 2 implementations on AWS, reducing deployment timelines by 60-80%.
Why Chronos 2?
- Zero-shot inference: Forecast new products, cold-start scenarios, and complex environments immediately
- Superior accuracy: 90%+ win rates against ARIMA, Prophet, and traditional statistical methods
- Production scale: 300+ forecasts per second on a single A10G GPU
- Multi-modal support: Univariate, multivariate joint prediction, and covariate-informed modeling out of the box
Our Implementation Services
Discovery & Roadmap We assess your current forecasting environment, identify high-impact Chronos 2 use cases including cold-start scenarios, evaluate data quality, and deliver an implementation plan with realistic ROI targets.
Data Pipeline Development We build AWS Glue jobs handling the scaling, quantization, and tokenization that foundation models require—including proper covariate alignment with target series, where most deployments fail.
Production Deployment End-to-end deployment on SageMaker or Bedrock with infrastructure as code, API development, monitoring dashboards, drift detection, and integration with your existing business systems.
Tuning & Optimization Configure multivariate forecasting for co-evolving time series, integrate external data sources, and optimize context windows and prediction lengths for your specific requirements.
AWS Integration Seamless integration with API Gateway, Step Functions, EventBridge, S3, Glue, QuickSight, plus your security and compliance frameworks.
Ongoing Support Continuous monitoring, regular performance reviews, assistance with new use cases, and a dedicated point of contact.
Use Cases
- Retail demand forecasting with promotional calendars and seasonality
- Energy consumption prediction and grid optimization
- Cloud resource planning (CPU, memory, storage jointly)
- Financial transaction volume and risk forecasting
- Manufacturing production and supply chain planning
- Healthcare patient volume and resource allocation
Why zeb?
AWS Premier Tier Services Partner with Generative AI Services Competency. We bring deep expertise in time series forecasting and ML/AI implementation, a proven methodology that cuts deployment timelines dramatically, and deployment experience across retail, energy, finance, and cloud operations.
Highlights
- Zero-shot forecasting eliminates months of model training. Chronos 2 delivers accurate predictions for new products, cold-start scenarios, and complex multivariate environments immediately—no historical data requirements or custom training needed.
- Production-ready deployment in days, not months. Our proven methodology reduces implementation timelines by 60-80% with complete SageMaker or Bedrock deployment, monitoring dashboards, drift detection, and seamless AWS service integration.
- AWS Premier Tier Services Partner with Generative AI Competency. Proven implementations across retail, energy, finance, and cloud operations with deep expertise in time series forecasting and ML/AI production systems.
Details
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To speak with zeb regarding the details of this offering, please contact us via email at sales@zeb.co or visit our web site (https://zeb.co ) for more information.