navio | MLOps platform

Unleash the power of AI

Easily manage, deploy and monitor Machine Learning models. navio is a simple, reliable, and intuitive MLOps platform for navigating a company’s entire AI landscape.

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Simply focus on training machine learning models and let navio take care of the rest with a one-click deployment – saving you time and money.

Why MLOps?

Bring efficiency, consistency, and scalability to ML projects, reduce development cycles and accelerate time-to-market. Our MLOps platform ensures models are versioned, reproducible, and reliable, facilitating governance and collaboration among data scientists, engineers, and IT operations teams.

infographic with squares in different shades of blue showing the curcuit from ingesting data to curating data to managing, deploying and monitoring MLOps with navio

Manage

Take your models from development to production seamlessly with a centralized and production-ready model repository. Efficiently organize and maintain your machine learning models, ensuring easy access and scalability across your organization's infrastructure.

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Traffic Orchestration

Gracefully deploy new model versions using (semi)-automated Blue/Green deployments or validate multiple model versions by adding shadow models to your deployments.

Model Retraining

Retrain your models on new data collected during inference. Constantly improve your models by retraining them when new data becomes available.

AD/LDAP connection

navio provides fine-grained permission handling and monitoring based on your existing AD/LDAP infrastructure. Or build your own custom permission scheme using the advanced functionalities of KeyCloak.

Deploy

Streamline the deployment process and efficiently manage multiple deployments with built-in security features and access control. Ensure seamless integration and scalability of your deployed models while maintaining robust security measures.

One-click Deployment

Simplify the deployment process by deploying to production in just one click! Drastically reduce deployment time and complexity. Ensure that your machine learning models are accessible and operational with minimal effort.

Resource Scaling

Achieve peak deployment performance with automatic resource scaling that adapts to demand, optimizing cost-efficiency while ensuring responsive model serving.

Deploy Models to Edge Devices

Deploy your models to edge devices and manage them from a single central location. navio supports edge deployments with Azure IoT and TTTech Nerve, enabling deployment from Linux servers to industrial machinery.

Monitor

Employ advanced monitoring techniques to oversee model performance and detect data anomalies in real time. Proactively track and analyze the behavior of deployed machine learning models, ensuring their accuracy and effectiveness in real-world scenarios.

Data Observability

Gain transparency into your model's production data by comparing it to training data and previous versions, enabling data-driven decision-making and ensuring data quality and consistency.

Out-of-distribution detection

Seamlessly log all inference data at any scale, providing a comprehensive audit trail for compliance, debugging, and forensic analysis, enhancing traceability in your ML operations.

Performance Management

Effectively monitor model performance metrics in real-time, ensuring optimal model performance, identifying bottlenecks, and enabling timely optimization to deliver accurate and reliable predictions.

Why navio?

From data collection to deployment and operation in production, navio streamlines every step of the machine learning lifecycle, ensuring your ML projects don't just end at experimentation but lead to a real, measurable business impact.