Haven — Train and Deploy Private LLMs

Haven is a comprehensive platform for training and deploying private large language models for engineering teams

Haven is an integrated experimental platform that simplifies the process of training, evaluating, and deploying private large language models. This platform is designed for business owners and engineering teams who need to maintain ownership and control over their AI infrastructure without the complexity of managing fragmented tools. By providing a centralized environment, Haven allows teams to move from raw data to a production-ready model within a single interface. The platform focuses on fine-tuning open-source models to meet specific business requirements. Users can upload datasets, run training jobs on dedicated hardware, and use the built-in evaluation suite to compare model performance against benchmarks. Haven ensures that the transition from testing to deployment is handled through managed endpoints, reducing the technical overhead typically associated with self-hosting AI. Business leaders use Haven to create specialized AI agents for customer support or internal knowledge management. By training models on proprietary data, companies can ensure higher accuracy and data privacy compared to using generic public APIs. You can find more details about how this tool fits into your 2026 tech stack on surfai.app under the infrastructure category. The platform provides a reliable analytics dashboard to monitor model latency and usage in real-time. This visibility helps managers optimize their AI spend while maintaining high service levels for their end users. Haven operates on a freemium model, providing a free tier for initial experimentation with paid tiers for scaling compute and deployment.

• Pricing: freemium

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