Alternatives to Baseten

Platform for scaling AI model training and inference.

Platform to run, fine-tune, and deploy machine learning models with a simple API.

Building a cluster-scale operating system for the next generation of supercomputers.

AI-powered platform for building and deploying custom AI agents.

Optimizes and accelerates AI model inference deployment for businesses.

Provider of a Digital Integration Hub for rapid digital transformation and service delivery.

OpenMeter provides a usage-based metering and billing platform for cloud-native applications.

Exafunction provides a platform for deploying, managing, and scaling AI models and machine learning infrastructure.

nscale provides a cloud-native platform for managing and optimizing Kubernetes deployments.

Cloud-based platform for cross-browser testing and continuous testing.

A meta machine learning platform for tracking, comparing, and optimizing ML experiments.

A unified data analytics and AI platform built on the lakehouse architecture.

ML Observability platform for enterprises to monitor, visualize, and ensure ML model performance.

AI-powered platform for optimizing cloud infrastructure costs and performance.

MLOps platform for tracking, visualizing, and collaborating on machine learning experiments.

AI-powered platform for engineering teams to manage and analyze software development data.

A low-code platform for building internal tools and apps quickly.

Open-source platform for ML experiment tracking and data versioning.

End-to-end data science platform for data prep, machine learning, and model operations.

Generative AI platform for enterprises to build, train, and customize their own AI models.

The AI search and AEO platform that ships the content that gets you cited and tracks your LLM visibility across ChatGPT, Perplexity, Gemini, and Google.

AI model operationalization platform for enterprise AI deployments.

Kubernetes-native feature store for MLOps, simplifying feature management and deployment.

Anodot provides AI-driven analytics for real-time incident prediction and automation, safeguarding revenue and optimizing costs.

Unified, dev-first Kubernetes platform for operations, troubleshooting, and cost optimization.

High-performance observability warehouse and real-time analytics platform powered by Apache Druid.

AI-powered incident management and observability platform for IT operations.

Authentication and authorization for agents. One stack: delegated identity, tool calling, scoped permissions, and audit. Everything your agent needs.

Virtualizes expensive AI hardware to enable efficient pooling, sharing, and allocation of resources.

A platform for building and managing SaaS integrations, simplifying data flow between applications.

Observability platform for modern applications and infrastructure.

Neptune provides a data platform for businesses to manage and analyze their data.

Chaos is a platform for engineering teams to build and manage complex distributed systems.

OpenTelemetry-native observability platform for infrastructure and application monitoring.

Minfra provides a cloud-native infrastructure management platform for developers and DevOps teams.

AI platform for building and deploying custom machine learning models.

Database operations platform for AWS RDS and Aurora, offering monitoring and automation to reduce costs and improve performance.

Cloud platform for AI developers to build, train, and deploy machine learning models.

Enables developers to program, share, and observe infrastructure from anywhere.

Streamlining the post-training phase of artificial intelligence projects.

Observability platform for cloud-native applications, focusing on reliability and performance.

Cloud-based platform for cross-browser and cross-device testing of web and mobile applications.

Enterprise AI platform automating the end-to-end machine learning lifecycle for faster, scalable AI deployment.

An open-source feature store for managing and serving data for AI/ML models in production.

AI Fabrics Israel developed a platform for creating and deploying AI models, focusing on efficient data handling and model optimization.

Modern observability platform delivering 140x lower storage costs with zero database management.

GenSpark AI is a platform that helps companies build and deploy AI models faster.

A suite of services for building, deploying, and managing machine learning models on Google Cloud.

An AI-powered no-code app builder for entrepreneurs to create full-stack applications without writing code.

Unified machine learning platform for building, deploying, and scaling AI models.

Software delivery management platform to improve engineering efficiency and align R&D with business goals.

Code-native platform for versioned data and AI pipelines on object storage.