Entry Point

Train, manage, and evaluate custom large language models (LLMs) fast and efficiently on Entry Point AI with no code required

Entry Point AI lets teams train, manage, and evaluate custom language models without writing code. The platform links three tools into one workflow: Transforms add an AI-generated column to a dataset so a single prompt can tag, extract, or classify information across thousands of rows at once; Synthetic Data expands a handful of labeled examples into a fuller training set, with each generated example reviewed and approved before use; and Fine-tuning trains a task-specific model from the resulting data.

Listed here under education tools, Entry Point AI is really aimed at anyone turning raw data into a working model, from support-ticket tagging and content classification to data extraction, taking a project from an initial prompt through to a model running in production within a single loop rather than juggling separate services for prompt management, fine-tuning, and evaluation.

Pricing is not detailed in the material available beyond a dedicated pricing page, so the plan structure is not confirmed here. Start with the Transforms tool on an existing dataset to see how a single prompt performs before committing to a full fine-tuning run.

Category: Education. Pricing: freemium. Visit website

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