What challenges did Pi Securities Public Company Limited face before AI implementation?

High application latency and multi-hop routing from Thailand to Singapore made latency-sensitive trading features difficult to support in the cloud. Data residency and regulatory considerations complicated consolidation across multiple providers.

What was the impact of the AI solution?

Reduced latency from 100 ms to 10 ms. Lowered infrastructure costs by 15 percent. Enabled latency-sensitive trading capabilities in the cloud and future programmatic trading without co-location.

Source

Evidence: Medium50/100

Pi Securities delivers faster trading with cloud workloads in Thailand

Use case typeTrading platform modernizationUpdated Jun 8, 2026

Pi Securities migrated its cloud application platform to AWS Asia Pacific (Thailand) to reduce latency, meet data residency requirements, and modernize its trading platform. The company runs workloads on Amazon EKS, Amazon EC2, Amazon RDS, Amazon SQS, Amazon SNS, and AWS Secrets Manager, and plans to explore Amazon Bedrock and Amazon Q for AI features.

Organization: Pi Securities Public Company Limited
Industry: Finance
Location: Thailand
Published: June 2026

Reported outcomes

−90%

application latencyTime & speed

−15%infrastructure costs

Strategic outcomes

Innovation & cultureEnabled latency-sensitive trading in the cloudRisk & complianceSupported data residency and regulatory requirementsInnovation & cultureCreated a path for future programmatic trading

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Application latency: 90% decrease

AWS Solutions Case StudyJun 8, 2026Customer storyInferred claimMedium evidence strength

reduced latency from 100 milliseconds to 10 milliseconds

Normalized claim

Infrastructure costs: 15% decrease

AWS Solutions Case StudyJun 8, 2026Customer storyExplicit claimMedium evidence strength

lowered infrastructure costs by 15 percent

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Pi Securities Public Company Limited
Provider: AWS
Maturity: Unknown
Linked source: AWS Solutions Case Study

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Trading platform modernization
2Cloud migration

High application latency and multi-hop routing from Thailand to Singapore made latency-sensitive trading features difficult to support in the cloud.
Data residency and regulatory considerations complicated consolidation across multiple providers.

Migrated the application platform to AWS Asia Pacific (Thailand) with DailiTech support.
Refreshed the AWS landing zone using updated architecture and infrastructure-as-code, migrated non-production workloads first, and ran production in parallel across regions before cutover.

Technologies

Amazon Elastic Kubernetes Service Amazon EC2 Amazon Relational Database Service Amazon Simple Queue Service Amazon Simple Notification Service AWS Secrets Manager

Reduced latency from 100 ms to 10 ms.
Lowered infrastructure costs by 15 percent.
Enabled latency-sensitive trading capabilities in the cloud and future programmatic trading without co-location.

Architecture

Pi Securities runs its application platform on Amazon EKS, Amazon EC2, and Amazon RDS in the AWS Asia Pacific (Thailand) Region, with Amazon SQS and Amazon SNS handling microservice communication and AWS Secrets Manager used for secure configuration management, monitoring, and audit logging. DailiTech refreshed the AWS landing zone with updated architecture and infrastructure-as-code, and Pi Securities used sequential migration and parallel production cutover across Singapore and Thailand to reduce migration risk.

Sources & evidence1

Evidence: Medium50/100Evidence strength