Entry Point AI: No-Code LLM Fine-Tuning Platform

Entry Point AI removes the technical barriers standing between businesses and custom AI models. Instead of wrangling scripts and infrastructure, teams can import training data, generate synthetic examples, write prompt templates, and fine-tune large language models across multiple providers — all through a single visual interface. The platform also estimates costs upfront so there are no surprises when it comes time to train. Beyond training, Entry Point supports the full model lifecycle: evaluating performance, optimizing outputs, and deploying or sharing finished models with a click. Whether you're building a content generator, a support ticket classifier, or a fraud detection system, the platform gives non-technical stakeholders and AI engineers alike a common workspace to collaborate. Designed for founders, CTOs, data scientists, and marketing leads, Entry Point AI bridges the gap between business need and technical execution. It's built for teams that want the power of custom fine-tuned LLMs without hiring a dedicated ML infrastructure team.

1. Import or upload your training data into a project. 2. Use the synthetic example generator to expand your dataset if needed. 3. Write and refine prompt templates using the built-in templating engine. 4. Select your target LLM provider and review the estimated fine-tuning cost. 5. Train the model directly on the platform. 6. Evaluate outputs, run optimizations, and iterate as needed. 7. Deploy or share the finished model with your team or export it via your chosen provider.