Compare 12 options for tasks you use Baseten for. Their feature coverage differs; check the summaries and plan details. Deploy and scale AI models in production with optimized inference
Scale AI provides infrastructure across the AI stack, from high-quality training data to deployment systems for enterprise AI. The platform powers 90% of leading generative AI model builders and specializes in implementing complex AI systems for critical decision-making in sectors like healthcare, defense, and finance.
Experiential creates optimized, cost-efficient AI models by learning from your agent traces. Instead of routing all requests to expensive frontier models, it intelligently uses specialized models trained on your actual agent data, delivering comparable quality at a fraction of the cost. Built for teams running AI agents in production.
Base44 is an AI-powered no-code platform that transforms natural language prompts into complete, deployable web applications. It handles the entire stack—frontend, backend, database, authentication, and hosting—automatically, letting you create SaaS tools, internal operations apps, and AI-powered utilities without writing any code.
Fireworks AI is an infrastructure platform that lets you fine-tune and deploy generative AI models with enterprise reliability. Built on proven open-source foundations, it provides serverless inference, custom training workflows, and multi-region deployment options. Use it to specialize models for your specific needs or run inference on 20+ optimized models with OpenAI and Anthropic-compatible APIs.
Eventual provides data infrastructure optimized for AI workloads and physical AI systems. Daft, their open-source data engine, runs at petabyte scale with GPU acceleration for video, sensor data, and unstructured logs—currently deployed at Amazon, Mobileye, and Together AI. MultiBase enables teams to query fleet data using natural language, indexing perception semantically without requiring custom formats.
Bito builds an indexed knowledge graph of your repositories, documentation, and architecture to power context-aware code generation and reviews. It understands your system's patterns, dependencies, and decision history—enabling AI that writes production code rather than generic snippets. Integrates with Cursor, Claude Code, GitHub Copilot, Jira, and Linear.
Relevance AI is a platform for creating specialized AI agents that automate business processes across sales, marketing, customer success, and operations. It provides a no-code builder, pre-built templates, and connections to 1,000+ business apps. The platform optimizes costs through intelligent model selection while maintaining enterprise security and compliance.
Forefront is a developer platform for customizing and serving open-source large language models on your own data. It handles fine-tuning workflows, performance monitoring, and API deployment without requiring deep ML infrastructure knowledge. Pay only for what you use with transparent token-based pricing.
Sana is an AI platform that automates workflows, searches company knowledge bases, and generates business documents through conversational AI. It integrates with existing tools like Slack and Salesforce to let teams reduce manual work and access information faster. Built for enterprises but accessible to small teams, with a free tier to start and paid plans for scaling.
Bardeen connects your CRM, email, and project management tools to automate GTM tasks. AI-powered lead qualification, personalized outreach generation, and prospect data enrichment eliminate repetitive work. Built for sales teams, customer success managers, and revenue operations professionals.
Neon AI enables organizations to create custom, secure AI solutions that remain fully under their control—no recurring token fees or vendor lock-in. The platform combines conversational AI experts (CCAI), internal knowledge networks (BrainForge), and custom AI personas for deployment across web, video, and support channels. Designed for enterprises that require data privacy, auditability, and independence from public LLM providers.
Weights & Biases helps AI developers track experiments, manage models, and optimize hyperparameters in one unified platform. With built-in experiment logging, data visualization, and model registry, teams can reproduce results and collaborate efficiently. Ideal for researchers, ML engineers, and production AI teams.