Our mission is to accelerate the development ofAI applications and agents
Our Story
Data is the most significant bottleneck in AI, whether building custom models or using foundation models for business applications. Challenges include the need for high-quality, labeled, and domain-specific data, as well as issues like privacy, bias, and accessibility. Overcoming these hurdles requires strategies like synthetic data generation, transfer learning, active learning, and data augmentation. While foundation models reduce the need for massive datasets, fine-tuning and quality data remain crucial for effective AI solutions. Our effective tool at NIIO allow you to utilize our exiting use case built from the ground up so deployment can be easy and quick,
Build Deploy Generative AI Applications for your Business
- Compare, test, and deploy foundation models from OpenAI, Anthropic, Google, and more.
- Fine-tune base models with your enterprise data and Scale's data engine.
- Build, compare, and securely deploy generative model applications with Scale's developer platform, Spellbook.
- Accelerate your business with Scale's turnkey applications Chat, Forge, and E-commerce AI, or build custom apps.
The One-Stop-Shop For Building AI
Data engine is the process of improving machine learning models with high quality, diverse and large datasets powered by experts. Unlock model performance with the NIIO Data Engine.
Generation
After initial pre-training, create complex prompt-response pairs from scratch.
RLHF
Apply human preferences to model outputs.
Red Teaming
Use prompt injection techniques to find vulnerabilities.
Evaluation
Evaluate your model against a set of complex and diverse prompts to find weak points.
