> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fastino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Pioneer: fine-tune and deploy open-source AI models

> Pioneer is an AI fine-tuning and inference platform. Train custom LLMs and NER models, run inference, and deploy — all through a simple REST API.

Pioneer lets you fine-tune open-source LLMs and NER models on your own data, evaluate their performance, and serve predictions in production — without managing infrastructure. Connect via the Pioneer REST API, or use drop-in OpenAI and Anthropic-compatible endpoints.

<CardGroup cols={2}>
  <Card title="Quick Start" icon="rocket" href="/quickstart">
    Make your first API call in minutes. Get your API key, run inference, and fine-tune your first model.
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference/overview">
    Full reference for every Pioneer endpoint — inference, training, datasets, evaluations, and projects.
  </Card>

  <Card title="Models" icon="microchip" href="/concepts/models">
    Browse available encoder (GLiNER) and decoder (LLM) models for fine-tuning and serverless inference.
  </Card>

  <Card title="Guides" icon="book-open" href="/guides/fine-tune-ner">
    Step-by-step walkthroughs for NER fine-tuning, LLM training, synthetic data generation, and more.
  </Card>
</CardGroup>

## How Pioneer works

<Steps>
  <Step title="Choose a base model">
    Select from GLiNER encoder models for NER and extraction, or supported decoder families including Nemotron, DeepSeek V4 Flash, GLM 5.2, Claude 5, and GPT-5.
  </Step>

  <Step title="Upload or generate training data">
    Upload your labeled dataset or use Pioneer's synthetic data generation to create training examples from scratch.
  </Step>

  <Step title="Start a training job">
    Submit a fine-tuning job via the API. Pioneer handles LoRA or full fine-tuning and reports F1, precision, and recall on completion.
  </Step>

  <Step title="Run inference">
    Call `POST /inference` with your training job ID to serve predictions. Your fine-tuned model is deployed on-demand — no cold-start setup required.
  </Step>
</Steps>

<Note>
  Pioneer also supports **Adaptive Inference** — a continuous improvement loop that automatically evaluates, retrains, and promotes model checkpoints based on live production traffic. See [Adaptive Inference](/guides/adaptive-inference) to learn more.
</Note>

## Key capabilities

<CardGroup cols={2}>
  <Card title="NER Fine-tuning" icon="tag" href="/guides/fine-tune-ner">
    Train GLiNER models on your entity types for extraction, classification, and structured JSON output.
  </Card>

  <Card title="LLM Fine-tuning" icon="brain" href="/guides/fine-tune-llm">
    Fine-tune Nemotron 3.5 Lightning models on your domain data.
  </Card>

  <Card title="Synthetic Data" icon="wand-magic-sparkles" href="/guides/synthetic-data">
    Generate labeled training data for NER and classification tasks — no manual annotation required.
  </Card>

  <Card title="Agent Skills" icon="robot" href="/guides/agent-skills">
    Give your AI coding agent (Cursor, Claude Code) full Pioneer API knowledge with a single SKILL.md file.
  </Card>
</CardGroup>