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Domain specific text analysis to unlock
deeper insights

The LLM suit to analyze and extract actionable insights from specialized text data, designed to capture trends, patterns, and sentiment from industry experts.

Fine-tune models for better results.

Generate several times faster, data-backed decisions by pinpointing nuanced insights relevant to your field.

Enhanced understanding of domain expert sentiment and market trends enables strategic, proactive responses.

Choose the hosting solution that aligns with your data needs—on-premises, public cloud, or private hosting with us.

Maximize profitability with full control of data, free from third-party tools.

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Enhance performance
with fine-tuned models

Superior Performance
Fine-tuning delivers top-tier performance for enterprise applications while being more cost-effective than the largest models available.

Enhanced Accuracy
Customizing the model for specific use cases and industries allows it to better interpret and generate contextually relevant responses.

Boosted Efficiency
Fine-tuning optimizes performance by lowering token usage and compressing the capabilities of a larger model into a smaller, more efficient version.

Semantic analysis for your document
intelligence and insights

Enhance document organization, analysis, and insights with domain-specific LLMs
tailored to streamline business workflows. Read More Here

Document Tagging

By connecting AI to your domain-specific documents, such as legal, medical, or financial records, Chaperone AI efficiently handles automated document tagging, text summarization, and embedding. This provides accurate, domain-specific responses, improving organization and retrieval while enhancing productivity with seamless, human-like interactions.

Sentiment Insights

By integrating AI with your company's data, Chaperone AI enables domain-specific sentiment analysis, delivering accurate insights tailored to your industry. It efficiently processes customer feedback, reviews, or communications, providing real-time, nuanced sentiment detection that enhances decision-making and improves customer interactions with human-like precision.

Entity Extraction

Identify and extract key terms, phrases, or entities from large volumes of domain-specific text, enhancing searchability and enabling quick access to relevant information. This automated tagging streamlines content organization, supports targeted analysis, and uncovers frequently discussed topics for emerging trends, empowering informed decision-making and efficient knowledge discovery.

Content Briefing

Automate the extraction and summarization of key insights from lengthy reports, using advanced semantic understanding to capture essential information accurately. This process condenses complex documents into concise summaries for higher management to save time and enable quicker decision-making by highlighting critical points and trends.

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