Most Bedrock pilots stop before production.
A prototype on Bedrock is quick to build. Before people can rely on it, the agent needs governed data, access rules through IAM and Lake Formation, and monitoring.
- Data spread across S3 buckets, Redshift and source systems
- A Bedrock prototype that never connected to live data
- Access and audit questions raised only at the end
- No team free to build and run it
Built in your AWS account.
We build the part of the lakehouse the use case needs, on S3 and Apache Iceberg, governed with Lake Formation.
- S3, Apache Iceberg and Glue
- Streaming with MSK, Kinesis and EventBridge
- Athena and Redshift for analytics
We build AI agents, RAG and document intelligence on Amazon Bedrock, connected to your governed data.
- Amazon Bedrock with Claude
- Retrieval and document intelligence
- Evaluation and human approval
Intelligent DataOps keeps it running, with engineers reviewing every production change.
- CloudWatch monitoring and lineage
- Data-quality checks and runbooks
- Fixes proposed as pull requests
From kickoff to your first use case in production on AWS.
Events per day processed on AWS architectures.
Records engineered in Apache Iceberg.
Results in production
Amazon Bedrock
Amazon S3
Apache Iceberg
AWS Glue
AWS Lake Formation
Amazon OpenSearch Service
Amazon MSK
Amazon ECS
AWS Lambda
Amazon DynamoDB
Amazon CloudWatchAnthropic Claude
Questions we hear
Does everything run in our AWS account?+
Yes. Data, agents and infrastructure run in your AWS account, under your IAM controls.
Can we use Claude on Amazon Bedrock?+
Yes. Claude is available on Amazon Bedrock, so the agent runs in your account under your existing AWS controls.
Do we need a lakehouse before we start?+
No. We build the part of the lakehouse the first use case needs and extend it from there.
How do you keep answers reliable?+
Every workflow ships with evaluation of answer quality, source citations and monitoring. Consequential actions need human approval.
What happens after the Sprint?+
You can run it yourself, extend it with a Build, or have us operate it with Managed.
Put your first use case into production on AWS.
Tell us the use case and what you run on AWS.






