Building AI is the start.
Deployment is where complexity begins.
Building an AI agent, RAG application, AI mobile app, or ML-powered product has never been easier.
But supporting more users, improving performance, and unlocking advanced functionality often requires leveraging the cloud.
This introduces AI teams to cloud complexity, where deploying, connecting, and managing resources over time can pull them away from what they do best: building AI.
Leverage the cloud without the complexity
Navera is the AI Deployment Layer, bridging the gap between AI applications and the cloud capabilities they depend on.
Describe what your AI application needs, and Navera plans, deploys, and manages the cloud resources and services required to support it.
Examples Of Navera's Deployments
AI Agents & Agentic Backends
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Multi-Agent AI System
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Customer Support Agent
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Research Agent
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Hosted AI Agent Backend
Example Services
Vertex AI → Cloud Run → Firestore → Monitoring
RAG & AI Applications
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RAG Chatbot
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AI Mobile App Backend
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Semantic Search
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Document Q&A
Example Services
Cloud Storage → Vertex AI Embeddings → Vector Search → Cloud Run
Model Serving & ML Systems
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Model Serving API
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ML Prediction Service
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Forecasting Platform
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Fine-Tuned Model Deployment
Example Services
Cloud Storage → Vertex AI Training → Model Registry → Endpoint
A Strong Fit If You:
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Are building AI applications, agents, RAG systems, or ML products
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Scaling past what simple AI builders support
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Prioritizing building AI over managing infrastructure
Not the Right Fit If You:
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Are happy with simple AI builders or hosting platforms
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Prefer managing cloud infrastructure yourself
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Have dedicated platform or DevOps teams
Who Navera Is For
How It Works
1. Describe Your AI Application
Tell Navera what you're building, your goals, and what you want your application to achieve. Start from a proven use case, use the AI helper, or build from scratch.
2. Leverage the Cloud Automatically
Navera plans the architecture, selects the right cloud resources and services, resolves dependencies, and deploys everything your application needs, without Terraform, YAML, or manual cloud setup.
3. Operate, Evolve, and Scale
As your application evolves, Navera adapts the cloud resources and services behind it so you can focus on delivering new capabilities to your users.
Why Navera Engine
Full Cloud Capabilities
Leverage databases, AI services, GPUs, data pipelines, and more, without dealing with cloud complexity
Cost Visibility Built In
Understand what your cloud deployments cost and make informed decisions before surprises happen
Built to Evolve
Adapt your application as requirements change, introducing new capabilities without rebuilding from scratch
Repeatable by Design
Deploy with confidence using reproducible, versioned deployments that can be tracked and evolved over time
What Teams Are Saying
AI Engineer
“With Navera, I feel like my AI and data pipelines are on steroids. I can spin up multiple pipelines, train different modules in parallel, and get results 10x faster than before.”
Senior DevOps Engineer
“With Navera, my coworkers — AI and data engineers — can build real pipeline prototypes without needing Docker or manual Terraform. I no longer have to reverse-engineer their work.”
Senior AI Engineer
“I’ve never seen anything like the Navera Engine. It’s a smart, reactive, and even proactive data infrastructure that adapts automatically to AI workloads.”
Simple, Transparent Pricing
We’re in Soft Launch - Contact Co-Founder & CEO, Murad to get lifetime perks!