Claro
Claro provides a suite of AI tools that enable companies to create customized Small Language Models (SLMs) using minimal data while ensuring privacy and security through synthetic data generation. By automating data enrichment and model training, Claro helps businesses efficiently structure unstructured data and integrate AI solutions into their workflows.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Funding
Raised to date
€650KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $708.5Kacross 1 round
ASDFFF€650K · Pre-Seed
Announced Feb 2025 · from article date
Disclosed cumulative: $708.5K
Founders
Product
Problem
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.
Solution
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.
Target Audience
Claro targets companies seeking to implement customized AI solutions, particularly those with unstructured textual data and a need for enhanced data privacy and security.
Features
- 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