Many companies struggle to leverage the power of Large Language Models (LLMs) due to the need for specialized, tailor-made solutions and concerns around data privacy and security. Training custom models typically requires extensive datasets and expertise, creating barriers to entry for businesses with limited resources.

Claro provides an AI knowledge infrastructure that enables companies to create customized Small Language Models (SLMs) using minimal data while ensuring privacy and security. The platform automates data enrichment, augmentation, and model training, allowing businesses to efficiently structure unstructured data and integrate AI solutions into their workflows. Claro leverages synthetic data generation and intelligent distillation techniques to improve model performance without compromising sensitive information. Users can access binaries or utilize API endpoints for direct integration into existing systems.

Data enrichment and synthetic data generation to augment limited datasets

Intelligent distillation and novel post-training techniques for SLM training

Automated model selection based on hundreds of experiments

Unified API for accessing various AI tasks, including language detection, entity relations, and classification

Document OCR, smart embeddings, extractive QA, and summarization capabilities

Entity and keyword extraction, relevance ranking, and PII reduction/masking

Private cloud and Claro cloud deployment options for enhanced security and control

Zero data retention via hosted API and self-hosting options

Claro targets companies seeking to implement customized AI solutions, particularly those with unstructured textual data and a need for enhanced data privacy and security.