Ironbook AI Tech Stack

Agentic AI for autonomous data migrations and enterprise automation

Software Development Downtown Core, Central 51–200 employees Founded 2023 Privately Held

Ironbook AI builds AI-native systems for data activation and autonomous engineering, anchored by an autonomous data migration agent. The stack is pure AWS infrastructure (Lambda, RDS, DynamoDB, CloudWatch, CodePipeline) paired with Python and SQL — a foundation built for shipping agentic workflows at scale. Active projects span RAG, vector embeddings, and application modernization, while hiring remains engineering-heavy across Southeast Asia, suggesting rapid capability expansion in a consulting-plus-product model.

Tech Stack 63 technologies

Core StackAWS AWS Lambda CloudFront AWS RDS DynamoDB CloudWatch Python GitHub Actions Jenkins Linux SQL Server MySQL Oracle Database PL/SQL Auto Scaling AWS Elastic Beanstalk AWS EBS EFS VPC Route 53 AWS Elastic Load Balancing Aurora AWS X-Ray AWS Trusted Advisor Boto3 Bash PowerShell AWS CodePipeline Windows Oracle Data Guard+30 more

What Ironbook AI Is Building

◆Challenges

Application modernization
Large transformation initiatives
Operational efficiency across market expansion operations

▲Active Projects

Rag workflows
Scalable data pipelines
Vector search and embeddings pipelines
Application modernization program
Portfolio of it programs in financial services
Rollout of sap s/4hana
Implementation of new supply chain technologies
Development of dashboards for data-driven decision-making

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Engineering

Sales

Support

Seniority

Mid

Senior

Manager

Notable leadership hires: Program Director

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About Ironbook AI

Ironbook AI operates a dual business: an AI-native product line centered on autonomous data migration and agentic automation, alongside a high-impact consulting practice delivering enterprise AI solutions across APAC. The company works hands-on with AWS, Databricks, Confluent, and MinIO across cloud ecosystems. Founded in 2023, the firm is 51–200 employees, headquartered in Downtown Core, Central (Canada), with engineering, sales, and support teams. Project work spans data pipeline modernization, supply-chain technology implementation, and SAP S/4HANA rollouts, primarily in financial services and large transformation programs.

HeadquartersDowntown Core, Central

Company Size51–200 employees

Founded2023

Hiring MarketsMalaysia, Thailand, India

Frequently Asked Questions

What tech stack does Ironbook AI use?

AWS services (Lambda, RDS, DynamoDB, CloudWatch, CodePipeline, Elastic Load Balancing), Python, SQL Server, MySQL, Oracle Database, Databricks, and Confluent. Stack signals infrastructure-heavy, cloud-first agentic systems.

What is Ironbook AI working on?

Autonomous data migration agents, RAG workflows, scalable data pipelines, vector search/embeddings, application modernization programs, and supply-chain technology implementations—primarily in financial services.