What is Entry Point?
Entry Point is an AI data transformation and fine-tuning tool that connects dataset preparation, synthetic examples, and task-specific model training. Entry Point supports personal projects, learning fine-tuning, building AI features, and automating internal processes. The workflow can take users from raw data to a production model, while allowing each component to be used independently when a task does not require the entire process.
What Entry Point can do
Entry Point organizes its capabilities around Transforms, Synthetic Data, and Fine-tuning. Transforms applies prompts across data rows, Synthetic Data expands available examples into training material, and Fine-tuning trains a custom model from selected data. Entry Point also includes supporting tools for managing datasets, checking output quality, estimating token costs, and exporting data.
- Entry Point adds AI columns to tag, extract, or classify data.
- Entry Point runs prompts across thousands of rows.
- Entry Point generates synthetic examples for review and approval.
- Entry Point routes approved examples to training or validation.
- Entry Point captures completions automatically and supports quality comparisons.
- Entry Point supports fine-tuning across providers.
- Entry Point exports datasets as CSV or JSONL.
How Entry Point works
Entry Point starts with a prompt applied to the user's data. Users can run generation at scale, review captured completions, and test results for quality before turning selected examples into a custom model. Synthetic generation fills gaps in the available training examples. After fine-tuning, the stated deployment step is to point the user's API at the fine-tuned model. Fine-tuning and data generation run through the user's connected provider accounts, such as OpenAI.
Who Entry Point is for
Entry Point serves people experimenting with fine-tuning as well as teams developing AI features, automating internal work, or scaling model performance in high-volume applications. The listed applications cover content production, structured data processing, recommendations, moderation, and fraud detection. Entry Point also supports using a fine-tuned language model to rank retrieved results by relevance within a RAG workflow.
- Entry Point can prioritize support issues, bug reports, and lead submissions.
- Entry Point can extract consistent values from unstructured data.
- Entry Point can enrich business contacts with industry or custom segments.
- Entry Point can suggest products using shopping cart contents or order history.
- Entry Point can flag inappropriate content in inboxes, apps, and chats.
Entry Point pricing and plans
Entry Point is free to start with up to 300 rows. Starter costs $49 per month for up to 5,000 rows and 3 seats. Growth costs $99 per month for up to 25,000 rows and 5 seats. Pro costs $249 per month for up to 100,000 rows and 10 seats, with premium support. Every plan includes the full suite, and an Enterprise option is available by contacting the company.
Entry Point strengths and limitations
Entry Point combines data transformation, example generation, quality checks, and fine-tuning without requiring users to treat those activities as separate workflows. Every plan includes dataset management, templates, validation, a playground, unlimited data synthesis, and an onboarding call. Entry Point also states that users retain their models and data, with CSV and JSONL exports available even after cancellation. Subscription capacity and external provider billing remain important considerations.
- Entry Point pools row limits across projects rather than counting them per model.
- Entry Point bills provider costs separately from plan subscriptions.
- Entry Point requires connected provider accounts for fine-tuning and data generation.
Entry Point FAQ
What is Entry Point?
Entry Point is an AI data transformation and model fine-tuning tool that combines prompt-based processing, synthetic training examples, and custom model training. Entry Point lets users work through the connected workflow or use each tool independently.
Is Entry Point free?
Entry Point is free to start with up to 300 rows before choosing a plan. Paid subscriptions start at $49 per month for Starter. Fine-tuning and data generation use connected provider accounts, and provider costs are separate.
Who is Entry Point for?
Entry Point is for personal projects, people learning fine-tuning, and teams building AI features or automating internal processes. Entry Point also offers a Pro plan intended for scaling model performance in high-volume applications.
What can you use Entry Point for?
Entry Point supports content generation, tagging, classification, extraction, prioritization, recommendations, fraud detection, moderation, and data enrichment. Entry Point can also fine-tune a language model to rerank retrieved results by relevance in a RAG workflow.
Does Entry Point work with OpenAI?
Entry Point runs fine-tuning and data generation on users' connected provider accounts, with OpenAI named as an example. Entry Point includes fine-tuning across providers, while provider usage costs remain separate from Entry Point subscriptions.
Can you export data from Entry Point after canceling?
Entry Point allows users to export data as JSONL or CSV at any time, including after cancellation. Entry Point states that users retain their models and data, and every plan includes CSV and JSONL export.
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