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Entry Point AI

★4.1
💬675
💲Paid

Entry Point AI simplifies AI model creation for businesses by offering a no-code platform to train, manage, and optimize custom large language models. It includes tools for data management, synthetic example generation, and cost estimation, enabling efficient model deployment and collaboration.

💻
Platform
web
AI optimizationData managementFine-tuningLLMLarge language modelsMachine learningNo-code AI

What is Entry Point AI?

Entry Point AI is a no-code platform designed for businesses to create, manage, and optimize custom AI models without requiring technical expertise. It addresses the need for accessible AI tools by providing a unified interface for training, managing, and deploying large language models efficiently.

Core Technologies

  • No-code AI
  • Large Language Models (LLMs)
  • AI Optimization
  • Machine Learning
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)

Key Capabilities

  • No-code fine-tuning of LLMs
  • Training data management
  • Synthetic example generation
  • Cost estimation
  • Model optimization
  • Cross-platform LLM provider support
  • Team collaboration
  • Prompt templating
  • Data import/export
  • Model deployment and sharing

Use Cases

  • Generating content (reports, articles, social media posts)
  • Tagging and classifying data
  • Extracting data from unstructured sources
  • Prioritizing support issues
  • Recommending products
  • Detecting fraud
  • Moderating content
  • Enriching data
  • Scoring and ranking in RAG workflows

Core Benefits

  • No-code AI access for non-technical users
  • Unified interface for multiple LLM providers
  • Streamlined training data management
  • Enhanced team collaboration features
  • Easy model deployment and sharing
  • Cost estimation to avoid unexpected charges

Key Features

  • No-code fine-tuning of LLMs
  • Training data management
  • Synthetic example generation
  • Cost estimation
  • Model optimization
  • Cross-platform LLM provider support
  • Team collaboration features
  • Prompt templating engine
  • Data import and export
  • Model deployment and sharing

How to Use

  1. 1
    Import training data into the platform
  2. 2
    Use the prompt templating engine to create templates
  3. 3
    Train models across supported LLM providers
  4. 4
    Optimize models using built-in tools
  5. 5
    Deploy and share models with a single click

Pricing Plans

Starter

$49 / mo
Includes 5,000 training examples and 3 user seats

Growth

$99 / mo
Includes 25,000 training examples and 5 user seats

Pro

$249 / mo
Includes 100,000 training examples and 10 user seats

Frequently Asked Questions

Q.How many training examples do I need to fine-tune a model?

A.You can start with as few as 50 examples. More examples improve model accuracy.

Q.How does the training example limit work?

A.If your limit is 1,000, you can create 1 project with 1,000 examples or multiple projects with fewer examples. Deleting projects frees up limits.

Q.Can I keep my AI models if I cancel the plan?

A.Yes, models trained on platforms like OpenAI remain yours. You can also export data as JSONL or CSV.

Q.Are there other costs?

A.Fine-tuning and synthetic example generation incur costs on connected platforms, which are not included but can be estimated.

Q.Do you offer volume or enterprise pricing?

A.Yes, contact hello@entrypointai.com for high-volume requests or custom quotes.

Pros & Cons (Reserved)

✓ Pros

  • No code required, making AI accessible
  • Unified interface for multiple LLM providers
  • Tools for managing and optimizing training data
  • Features for team collaboration
  • Easy model deployment and sharing
  • Cost estimation to avoid unexpected charges

✗ Cons

  • Relies on external LLM providers
  • Costs for fine-tuning and synthetic examples are separate
  • Effectiveness depends on training data quality

Alternatives

No alternatives found.