Entry Point AI

Entry Point AI is a collaborative workspace for teams who want custom language models without writing pipeline code. At its core it bundles three connected tools: Transforms, which runs a prompt across thousands of rows to tag, extract, or classify each record; Synthetic Data, which expands a handful of labeled examples into a full training set you review and approve; and Fine-tuning, which turns your best data into a model that outperforms a large general-purpose model on your specific task at lower cost and latency.

The tools are designed as a loop rather than three separate stops. You write a prompt, run it at scale, track every completion automatically, quality-check the output, fine-tune on the best examples, and then point your API at the resulting model. That cycle makes it practical to iterate on classification, extraction, prioritization, recommendations, fraud detection, moderation, data enrichment, and reranking inside a RAG pipeline.

Entry Point AI positions itself for teams that already see the value of fine-tuning but find raw JSONL preparation and model management painful. It includes dataset management, comparison of prompt versus fine-tuned quality, and an API-first path to swap in the custom model once it is ready. The platform is a SaaS product from Entry Point AI Inc.