Euleris is a cloud‑based AI platform that provides an end‑to‑end workflow for building, deploying, and managing machine‑learning models. It offers one‑click, auto‑scaling container deployments, real‑time monitoring with drift detection, and versioned model registries, plus REST APIs and SDKs for easy integration into existing software stacks.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses and developers often need to integrate advanced artificial intelligence capabilities into their applications but lack accessible, scalable tools that simplify model deployment, monitoring, and management.
Solution
Euleris offers a cloud-based AI platform that streamlines the end‑to‑end workflow for building, deploying, and operating machine‑learning models. The service provides a unified interface for data preprocessing, model training, and version control, allowing users to move from prototype to production with minimal code changes. Automated scaling and containerized runtimes ensure that models run efficiently under varying load conditions, while built‑in monitoring dashboards track performance metrics and detect drift in real time. Integration points such as REST APIs and SDKs enable seamless embedding of AI functionality into existing software stacks, reducing the operational overhead for data science teams.
Target Audience
Primary customers are software companies, SaaS providers, and enterprise data science teams that require reliable AI services without managing underlying infrastructure.
Features
- End‑to‑end pipeline for data ingestion, feature engineering, and model training with support for popular frameworks (TensorFlow, PyTorch, Scikit‑learn)
- One‑click deployment to managed containers with auto‑scaling and load balancing
- Real‑time monitoring and alerting for latency, error rates, and data drift
- Versioned model registry and rollback capabilities
- RESTful API and language‑specific SDKs for easy integration into applications