Overview
Generative AI and ML initiatives stall when underlying data isn't governed, current, or accessible. We build serverless ingestion and transformation pipelines with AWS Lambda, and prepare curated, governed datasets suited for model training and inference through Amazon SageMaker, Amazon Bedrock and Snowflake Data Cloud AI hosted on AWS. The result is a repeatable data pipeline your AI/ML teams can build on, rather than one-off data pulls.
Highlights
- Serverless data pipelines built on AWS Lambda
- Curated, governed datasets ready for SageMaker, Bedrock and Snowflake workloads
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Support
Vendor support
For support with this service, contact our team at awssupport@claroda.com .
We aim to respond to all inquiries within one business day (Monday–Friday, excluding US and India public holidays). Our support covers onboarding questions, service usage guidance, and delivery-related troubleshooting for the duration of your engagement.
Refund requests are handled on a case-by-case basis in accordance with the terms agreed in your engagement scope of work. Please include your AWS account ID and a description of the issue when reaching out.