Katonic.ai: Helping customers reduce their Enterprise Generative AI costs
Australian startup Katonic.ai is an AI and machine learning business that provides MLOps and generative AI platforms to customers worldwide. The company built Katonic Playground on Google Cloud so customers can build generative AI applications, work with 90 large language and foundation models, and deploy the platform within a customer's Google Cloud environment in about 40 minutes. The platform uses Google Kubernetes Engine, Vertex AI, PaLM 2, BigQuery, Google Cloud object storage, and Cloud GPU, and the company integrates Google Cloud and AI services into its platform through APIs.
- Organization
- Katonic.ai
- Industry
- Professional Services
- Location
- Australia
- Published
- June 2026
Reported outcomes
−70%
costCost savings
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Generative AI platform
- 2MLOps
- 3Enterprise AI platform
- Make generative AI accessible at scale while controlling GPU/infrastructure costs and enabling fast release cycles for customers.
- The company needed scalable and available infrastructure for peaks and troughs in demand and wanted to reduce time spent on infrastructure maintenance.
- Built an enterprise generative AI platform on Google Cloud using Google Kubernetes Engine for orchestration, Vertex AI and PaLM 2 for model capabilities, BigQuery and object storage for data access, and Cloud GPU for workload support.
- Automated testing, CI/CD, and deployment so the platform can be installed in a customer's Google Cloud environment in about 40 minutes and released every two weeks.
- Reduced customer infrastructure costs by 70%.
- Improved customer satisfaction by 25%.
- Installed in a customer's Google Cloud environment in 40 minutes.
- Increased release frequency from monthly to every two weeks.
- Grew the number of users of the enterprise generative AI platform by 300 in weeks.
Architecture
Katonic.ai runs its enterprise generative AI platform, Katonic Playground, on Google Kubernetes Engine and integrates Vertex AI, PaLM 2, BigQuery, Google Cloud object storage, and Cloud GPU services through APIs to serve customer deployments in Google Cloud environments.
Sources & evidence1
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