Entry Point

Entry Point is a no-code web platform for individuals, startups, and enterprises that need to train, manage, and evaluate custom large language models (LLMs) using proprietary or open-source models.

Key capabilities include:

• Dataset management and import/export: bring structured training data in via CSV and export datasets as JSONL, with tools to manage prompts and completions in one place.
• Templating for prompts and training examples: create prompt and completion templates to standardize structure and iterate on formats that improve model behavior.
• Cross-provider fine-tuning and evaluation: run cross-platform fine-tunes, validate outputs in a playground, and compare results while tracking token counts and cost estimates.
• Team and developer access: collaborate with team members, use unlimited data synthesis, and integrate via API access (an onboarding call is available).

Pricing: Freemium. Starter is $49/month (includes 5,000 training examples and 3 user seats), Growth $99/month, Pro $249/month, plus custom Enterprise plans.

What makes it notable: it centralizes prompts, fine-tuning jobs, and evaluations in one interface, helping teams move beyond prompt-only workflows toward repeatable model training and testing across providers.