Commissioned is a platform that makes fine‑tuning AI models fast and accessible for developers, teams, and creators. Instead of spending weeks writing training scripts or renting costly compute power, you can upload your own data, describe what you want the model to do, and receive a custom model in about 30‑45 minutes. It removes technical barriers, so you don’t need machine learning expertise or a dedicated ML team to get tailored AI models that work for your specific use cases. Commissioned automates data cleaning, formatting, training, evaluation, and deployment, so you can focus on building real applications that benefit from AI tuned to your workflows.

• Fine-tuned Model Creation: Generate custom AI models from your own datasets, such as PDFs, CSVs, and structured files, without the need to write training code.
• No Data Formatting Required: Upload your data in its original format and allow Commissioned to handle the formatting and preparation behind the scenes.
• Automated Training Pipeline: The platform manages cleaning, training, evaluation, and output setup to provide you with a ready-to-use model quickly.
• No Infrastructure Management: You do not need to rent GPUs or manage servers because the system handles all computing and scaling requirements for you.
• Style-Adherent Output Generation: Models can follow your preferred tone, voice, or formatting style for tasks such as content creation and classification.
• Structured Dataset Support: Map input and output fields for structured data to train models that work effectively with tables and defined schemas.
• Labeling and Classification Tools: Train models for classification and tagging tasks in addition to standard generation.

• Accessible Model Building: Users can create custom AI models without needing deep machine learning expertise or writing complex training scripts.
• Fast Turnaround: Commissioned delivers fine-tuned models in approximately 30 to 45 minutes, which is significantly faster than traditional model training workflows.
• Flexible Plans: The platform offers a free tier for experimentation, along with paid tiers that provide higher limits and access to premium models.
• Improved Relevance: Fine-tuned models align with your specific data and tasks more closely than general-purpose AI models. This ensures that responses are more accurate and useful for your specific context.

• Data Quality Still Matters: Even though the system automates formatting and training, your results still depend on high-quality, relevant data.
• Usage Limits on the Free Plan: The free tier includes caps on the number of models you can fine-tune and the amount of chat usage available.

• Startup Founders and Creators: Entrepreneurs who need tailored AI behaviour for products like chatbots, content assistants, or customer support tools without building an ML team.
• Developers: Builders who want to integrate domain‑specific intelligence into apps and tools quickly without managing training infrastructure.
• Business Teams: Internal teams that need specialised models for tasks like summarisation, tagging, or automation based on proprietary company data.
• Educators and Researchers: People training AI for specific educational or research tasks where general models don’t understand domain‑specific language.
• Small Teams With Budget Constraints: Organisations that can’t afford expensive compute resources but still need customised AI performance.