Commissioned is an AI-powered platform that allows users to create fine-tuned models directly from documents and datasets—such as PDFs, CSVs, and structured files—without data formatting, infrastructure setup, or coding. It simplifies the entire fine-tuning process, enabling high-quality, custom AI models with strong style adherence for content generation and enterprise-grade classification tasks.
Key Features
- Fine-tuned model creation from PDFs, CSVs, and documents
- No data formatting required
- No infrastructure management
- No coding needed
- Automated training pipeline
- Style-adherent model generation
- Input/output field mapping for structured datasets
- Supports labeling and classification models
Pros
- Extremely low technical barrier to model training
- Saves time on data preparation and engineering
- Produces high-quality, style-consistent outputs
- Suitable for both creative and enterprise use cases
- Handles complexity behind the scenes
Cons
- Limited control over training internals
- Performance depends on data quality
- Customization may be constrained for advanced ML teams
- Platform dependency for model management
Who Is This Tool For?
- Content creators and writers
- Marketing and growth teams
- Businesses and enterprises
- Data teams and analysts
- AI product teams
- Educators and trainers
- No-code / low-code users
Pricing Packages
- Free / Trial: Basic fine-tuning features
- Paid Plans: Advanced model training, enterprise datasets, automation, and premium support
