FinTech · AWS

Klarna

Production is built as microservices on AWS (including EKS/ECS) with event-driven flows via Kafka and a data platform spanning DynamoDB, S3, Glue/Spark, Hadoop/HDFS and Redshift, plus legacy Riak/RabbitMQ in some paths.[1][2][5][6][8][9][10][11] Klarna’s AI customer service stack layers agent orchestration (e.g., LangGraph) and RAG on top of OpenAI GPT-4-class models, integrated with internal APIs and Zendesk.[3][4][7]

Foundation proximity: Direct API

Foundational models & how they consume them

PrimaryGPT-4 class (OpenAI Chat Completions)· OpenAI API · Direct API

Cloud & datastore

AWSAmazon DynamoDBPostgreSQLOracle DatabaseApache Kafka (as log/event store)Hadoop HDFSAmazon S3Amazon RedshiftRiakRabbitMQ (message broker)

Compliance

AWS financial services security and compliance alignment (core banking on AWS, collaboration with AWS compliance/security teams)[10]Bank-grade security controls inferred from licensed bank status and AWS FSI reference architectures[10]

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FAQ

Does Klarna use a foundational AI model?

Klarna uses GPT-4 class (OpenAI Chat Completions) (Direct API).

What cloud does Klarna run on?

Klarna runs on AWS.

What database does Klarna use?

Klarna uses Amazon DynamoDB, PostgreSQL, Oracle Database, Apache Kafka (as log/event store), Hadoop HDFS, Amazon S3, Amazon Redshift, Riak, RabbitMQ (message broker).

How close does Klarna run to the foundational model?

Klarna is Direct API — close to the metal, so cheaper tokens and more control over outputs.

Sources

klarna.com ↗

Also on the map

OpenAI · GPT

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Architecture inferred from public sources · confidence medium · verify before betting on a detail.