AI/ML Infrastructure

Get help from the leading Google Cloud experts with experience from more than 200 AI use cases to accelerate your enterprise AI and Machine Learning journey and scale your business with Google’s fully integrated AI stack, built on decades of AI R&D and praised by analysts.

Familiar Challenges

Identified AI/ML use cases are lacking a viable platform
Selecting the best services from Google Cloud
Uncontrollable costs from development and use
Long setup times for solutions
Complex management and orchestration
Scattered data, software, and/or platforms for AI/ML

Our Solution

Flexible, scalable and pragmatic technologies
Easy to manage, scale and use
Platform flexibility and framework and architecture openness for robustness with built in resilience
Unified infrastructure and MLOps for developing, training, running, and managing ML models

Our Unique Value

Wide experience and best practices on multiple AI use cases
Experience across many and varied domains and industries
Unique Google Cloud experience with >30 earned expertises

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Our AI/ML Infrastructure References

POP Bank: Banking services forerunner offers even better customer service with help from Codento and Google Cloud. Generative AI chatbot has made agents’ work faster and onboarding more efficient Global travel booking company

Google Cloud Capabilities

Vertex AI
Gemini
Model Garden

How to Get Started

Implement Google Cloud Vertex AI: Build a unified platform to streamline the development, training, and deployment of ML models
Integrate Data
Centralization Tools:
Centralize and preprocess data for ML workflows