About
The Story
After spending 15+ years building data platforms for large enterprises, we kept seeing the same problem: data analysis and business intelligence take too long to build and deliver.
Data professionals spend most of their time on infrastructure and tooling instead of analysis. Business users wait weeks for insights. By the time answers arrive, opportunities are gone.
Kontext exists to fix that—making data analysis fast and accessible for everyone.
Mission
Accelerate time-to-insight for everyone—empowering data professionals to work faster and enabling business users to self-serve.
Vision
A world where anyone can transform data into insights in minutes, not weeks—with AI-powered automation reducing complexity for all.
Our Approach
AI-powered automation, serverless architecture, and in-memory processing—delivering enterprise capabilities at startup speed.
What Makes Us Different
AI-First, Not AI-Washed
AI agents that truly understand your data and automate analysis—not just chatbots with fancy interfaces.
Minutes, Not Weeks
Fast in-memory processing and serverless architecture mean instant insights without infrastructure headaches.
Built for Everyone
Data professionals get powerful SQL and automation tools. Business users get natural language interfaces. Both get faster insights.
Cost-Effective by Design
Serverless architecture and efficient processing means you only pay for what you use—no expensive infrastructure.
The Team
Raymond (Fahao) has spent 15+ years building data platforms and analytics solutions for large financial institutions. After leading data engineering teams at ANZ Banking Group, Energy Australia, and Commonwealth Bank, he founded Kontext to make data analytics faster and more accessible.
Key Experience
- Founder, Kontext (2025-Present)
- Engineering Director, CommBank iQ (2022-2025)
- Data Engineering Practice Lead, Energy Australia (2022)
- Data Engineering Chapter Lead, ANZ (2012-2022)
Certifications
- Microsoft Azure Solutions Architect Expert
- Microsoft Solution Expert: Data Management
- Google Cloud Professional Data Engineer (2019-2021)
- AWS Certified Cloud Practitioner (2020-2023)
- Microsoft MVP - C#/.NET (2010-2016)
Made with ❤️ in Melbourne, Australia
Interested in Working Together?
Whether you're looking to transform your data workflow, join our mission as an early adopter, or explore partnership opportunities—we'd love to hear from you.