Backplain is a platform that provides AI controls for managing usability, trust, risk, and security of large language models like GPT-3 and GPT-4 across organizations. It enables users to safely utilize generative AI by offering a multi-chat capability that aggregates insights from various AI models, ensuring secure and informed decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to manage the usability, trust, risk, and security of large language models (LLMs) like GPT-3 and GPT-4 across various departments and use cases. Employees may inadvertently misuse or be exposed to risks associated with generative AI, while IT departments lack comprehensive control and visibility over LLM usage. This can lead to compliance issues, data leaks, and inconsistent AI performance across the organization.
Solution
Backplain offers a centralized AI control plane that enables organizations to safely and effectively utilize generative AI. The platform provides a multi-chat capability that aggregates insights from various AI models, allowing users to compare responses and make informed decisions. Backplain gives IT departments the tools to manage access privileges, enforce content filtering, and monitor LLM usage across the organization. By providing a unified interface and robust security features, Backplain helps businesses unlock the potential of generative AI while mitigating risks and ensuring compliance.
Target Audience
Backplain is designed for enterprise entities exceeding $50 million in annual revenue and 100 employees, as well as small and medium-sized businesses seeking to implement and govern generative AI technologies.
Features
- Unified access to multiple LLMs, including GPT-4, Llama 2, Claude 3, and Amazon Titan
- Multi-chat interface for comparing responses from different AI models
- Role-based access control for managing user permissions and model access
- Content filtering and screening mechanisms to prevent objectionable outputs
- Comprehensive logging and reporting for monitoring LLM usage and compliance
- General API and SDK integration for seamless integration with enterprise applications
- Support for custom-designed, tailored, or licensed models to align with specific organizational requirements