Provides a platform that integrates generative AI with enterprise data sources, enabling businesses to generate accurate, context-specific responses without the need for model fine-tuning. It streamlines data retrieval and process automation across channels like web, Slack, and WhatsApp, supporting multiple languages and large data volumes while ensuring security through vector-level access control.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to efficiently leverage internal data for generative AI applications due to data silos, the complexity of model fine-tuning, and concerns around data security and access control. Extracting relevant insights from diverse data sources requires significant manual effort and expertise, hindering the widespread adoption of AI-powered solutions.
Solution
Buildgrid provides an AI platform that connects generative AI models with enterprise knowledge sources, enabling businesses to generate accurate, context-aware responses without extensive fine-tuning. The platform integrates with various data sources, including text, images, and structured data, to create a unified knowledge base. It allows users to configure AI models with specific personalities, tones, and visuals, and implement access control at the vector database and model levels. Buildgrid also supports the creation of multi-agent models for complex processes and offers versatile deployment options, including a web-based interface and semantic search capabilities.
Target Audience
Buildgrid targets businesses seeking to improve productivity and decision-making by leveraging generative AI with secure control over AI processes and internal data.
Features
- Integration with diverse data sources, including text, images, and structured data
- Vector database for managing large data volumes and enabling quick, accurate data retrieval
- Support for multiple languages, allowing users to converse in over 80 different languages
- Access control at the vector level for enhanced data security and privacy
- Multi-agent framework for building AI models to assist with more demanding processes
- Web-based interface for easy interaction and management
- Semantic search capabilities for quickly finding relevant data
- Continuous learning through answer data re-ranking