FEATURES
- Capable of learning from company-specific documents and datasets
- Resides inside of a corporate network for security
- Leverages different sized foundation models
- Handles multiple users simultaneously
- Integrates with existing applications and data stores
- Supports multiple languages
- Enables analytics around usage and satisfaction
- Implements role based access and has audit logs
- Based on open source technology
LARGE LANGUAGE MODEL AI FOR CORPORATE CLIENTS
CorpLLM is a high performance Large Language Model designed for corporations to safely and securely leverage Generative AI. CorpLLM operates securely on corporate networks, offering confidentiality and can be trained on company data for precise, company-specific interactions. This scalable tool enhances both internal processes and customer engagement, adapting to business needs and providing a personalized user experience.
OVERVIEW
CorpLLM is designed to quickly learn from your company's own files and data, making sure all the information stays safe within your business's cloud and on-premises systems. It works for everyone at once, no matter how big or small the job, and since it's built on technology that anyone can share and improve, it fits right in with the software and databases you already use. It's not just for English; it can handle multiple languages. With its smart analytics, you can keep track of who's doing what, making sure only the right people have access to sensitive tasks. Plus, you get ongoing tech help and updates to keep things running smoothly.
DEPLOYMENT OPTIONS
On Premise LLM:
- Value Proposition: Ideal for organizations prioritizing security and control.
- Features:
- High Security and Privacy: Hosted within the company's own IT infrastructure, ensuring maximum data security and compliance with internal and corporate policies.
- Customizable Control: Allows businesses to fully customize and control the AI environment according to their specific needs and standards.
- Dedicated Support: Provides dedicated technical support, ensuring smooth operation and quick resolution of issues.
Customer Facing LLM:
- Value Proposition: Tailored to enhance customer interactions and service delivery.
- Features:
- Advanced Customer Interaction Tools: Integrates AI capabilities to improve customer engagement through chatbots, virtual assistants, and personalized communication.
- Data-Driven Insights: Offers insights into customer behavior and preferences, enabling businesses to tailor their services for better customer satisfaction.
- Scalability and Flexibility: Designed to scale according to customer interaction volumes and adapt to various customer service scenarios.
LLM Accelerator:
- Value Proposition: A plug-and-play solution for rapid deployment in client-designed applications.
- Features:
- Ease of Integration: Easily integrates with existing client applications, reducing development time and resources.
- Supported Solution: Comes with full support, including updates and maintenance, ensuring reliability and up-to-date AI capabilities.
- Customization and Flexibility: Allows clients to customize AI features to fit their specific application needs, offering flexibility in deployment and use.
BENEFITS
Data Privacy and Security: With the model residing on the corporate network, sensitive data does not need to be exposed to external providers, ensuring higher data privacy and security compliance.
Customization: The ability to train on corporate data means the model can be finely tuned to the specific language, terminology, and needs of the company, resulting in more accurate and relevant outputs.
Cost-Effective: By utilizing an open-source foundation, companies can potentially save on licensing fees associated with proprietary models and can allocate resources more efficiently.
Integration Flexibility: CorpLLM can be integrated into the existing corporate ecosystem, working alongside other tools and systems, which can improve workflow and productivity.
Scalability: The model can be scaled to handle different volumes of queries, from internal use cases to serving a large external customer base.
Innovative Edge: Using such advanced technology can give companies a competitive edge by increasing efficiency, improving decision-making, and enabling new services.
Continuous Learning: As the model can be continually updated with new data, it remains up-to-date with the latest information and company developments.
Enhanced User Experience: Tailored responses and interactions due to specialized training on corporate data can lead to a better user experience for both employees and customers.
Ownership and Control: Companies have full ownership and control over the model's training and deployment, allowing them to manage the roadmap and updates according to their strategic plans.
Support for Multiple Languages and Dialects: If the company operates globally, the model can be trained to understand and generate text in multiple languages and dialects.