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Unlock the full potential
of your enterprise data

We have meticulously trained our models using business language to deliver the most accurate and efficient solutions. Elevate your Enterprise AI strategy by starting with our top-performing customized and fine-tuned models, capable of supporting 10+ languages.

Our Models

Our solutions, featuring domain-specific LLMs, are crafted to augment
and elevate the global workforce, helping businesses thrive
and remain competitive in the AI era.

GDPR, HIPAA, DSS and AICPA-SOC ready.

LLMs are self-hosted, data-center located within EU.

Make tens of thousands of call with flat rate pricing model.

Highly customized fine-tuned models.

Surfacing most accurate responses, grounding
retrieval-augmented generation (RAG) in your data.

Applications pertaining to domain specific document
tagging, text summarization, embedding, etc.

llm-suit-features

Hugging Face Find Our Models on Hugging Face

How may we assist you?

Discover all kinds of content Chaperone AI can help you create with it's tailored LLMs.

An enterprise-grade LLM-Suit can automate HR, IT, finance, and procurement support by providing personalized responses to employee queries through a digital coworker aggregate and utilize your company’s data effectively.

Our solution pulls data from your existing knowledge management tools, core systems, and internal company resources. This information is fed into Self-hosted LLMS, enabling it to deliver relevant and accurate answers to employees in real-time.

By connecting AI to your company's data, GenAI powered chatbots offer customers a personal assistant. They can efficiently manage tasks like updating personal information, providing a smooth, human-like interaction.

brand brand brand brand brand brand 
# Implemented on OpenAI standards
llm = ChatOpenAI(base_url=BASE_URL, model=model, api_key=ACCESS_KEY, streaming=True)
chunks = []
async for chunk in llm.astream("Hi, you there?"):
    chunks.append(chunk)
    print(chunk.content, end="|", flush=True)

client = OpenAI(api_key=ACCESS_KEY, base_url=BASE_URL)

response = client.chat.completions.create(
    model=model,
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"}
    ])

Built on OpenAI-compatible API standards.
Use our APIs to build your own chatbots and RAG agents.

brand brand brand

CHAPERONE LLM Suit:
Frequently asked questions

Chaperone AI's LLM suit comprises of several fine-tuned models for text-to-text, text-to-speech, speech-to-text and sentence embeddings.

Chaperone AI offers flat-rate pricing models, as opposed to the more common token-based pricing approach.

There exist numerous use cases where LLMs can be utilized. A brief summary of them is as follows:

In finance, LLMs can assist in summarizing quarterly or annual financial reports, analyzing documents for risk management and compliance checks, reviewing financial contracts and agreements, such as loan agreements or investment contracts, generating investment insights from research reports, ensuring accuracy and compliance in analyzing tax returns and related documents, and much more.

In human resource management, LLMs can help to automatically screen and rank resumes based on job descriptions, generate or analyze onboarding documents such as offer letters, policy manuals, and training guides, ensure compliance with regulations through policy analysis, provide insights or summaries from performance review documents, ensure clarity and completeness in job descriptions, analyze employee survey results and feedback documents, and much more.

In the legal sector, LLMs can assist in automatically reviewing and analyzing legal contracts to identify key terms, obligations, and potential risks, summarize lengthy legal documents such as case briefs, judgments, or statutes, organize and analyze litigation documents such as pleadings, motions, and discovery materials, assist in legal research by identifying relevant case law, statutes, and legal articles, ensure compliance with laws and regulations by analyzing corporate policies, procedures, and practices, manage and analyze documents related to intellectual property, such as patents, trademarks, and copyrights, and much more.

In sales and marketing, LLMs can help to automatically analyze and score leads based on predefined criteria to prioritize sales efforts, generate personalized sales pitches or emails based on customer data and needs, analyze historical sales data and market trends to forecast future sales performance, assist in generating sales proposals and quotes by automating the inclusion of relevant product or service details, analyze competitor documents to inform sales strategies and product positioning, generate and optimize marketing content, such as blog posts, social media updates, and email campaigns, uncover consumer insights and trends from market research documents, review and analyze the performance of marketing campaigns to assess effectiveness and ROI, and much, much more.

LLMs from their intrinsic nature are multilingual, i.e., they can communicate in multiple languages simultaneously.

Chaperone AI's LLMs are hosted in their own data center in Vienna, Austria, and do not utilize any known commercial cloud services such as Azure, AWS, GCP, or similar platforms.

Start creating a chatbot for your brand today.

Contact to create your own Chatbot.
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