Bolna AI Platform provides a comprehensive suite for building AI-driven conversational agents. It features a visual builder for designing dialogue flows, a robust document ingestion pipeline with semantic vector search for knowledge retrieval, and support for multiple languages. Integrations with Slack, Microsoft Teams, and website widgets are available out of the box, while APIs allow deep embedding into custom applications. Analytics dashboards offer insights on usage and performance. Bolna’s modular architecture enables rapid prototyping, iterative refinement, and scalable deployment across enterprise environments.

Graphium is a knowledge graph and LLM orchestration framework that supports ingestion of structured data, creation of semantic embeddings, and hybrid retrieval for Q&A and chat. It integrates with popular LLMs, graph databases, and vector stores to enable explainable, graph-powered AI agents. Users can visualize graph structures, query relationships, and employ multi-hop reasoning. It provides RESTful APIs, SDKs, and a web UI for managing pipelines, monitoring queries, and customizing prompts, making it ideal for enterprise knowledge management and research applications.

BitHoop is a robust AI-powered knowledge assistant that significantly enhances information management for teams and individuals. It automatically gathers, organizes, and prioritizes diverse data from multiple applications into one seamless interface tailored to your tasks. This proactive and predictive approach ensures you have the most relevant information at your fingertips, reducing time spent searching and increasing overall productivity.

Cognikeep is an AI-driven enterprise search platform designed to integrate with multiple workflow applications. It empowers organizations to quickly summarize, fetch, and compare information from internal data sources while maintaining strict compliance with data security and privacy regulations. The platform supports seamless integration with popular tools like Asana, Slack, JIRA, GitHub, and more, making it a comprehensive solution for managing and querying enterprise knowledge bases securely.

GreyCollar AI enables organizations to design, train, and deploy AI-powered digital workers through a user-friendly, no-code interface. By ingesting documents, knowledge bases, and APIs, these agents understand company protocols and workflows. They seamlessly integrate with communication platforms like Slack and Microsoft Teams, handling tasks such as answering FAQs, processing IT tickets, and routing service requests. Built-in memory systems allow agents to recall past interactions, ensuring coherent and personalized responses. Administrators can monitor performance metrics, adjust workflows, and scale agents across teams. Whether improving customer service, streamlining HR onboarding, or automating sales outreach, GreyCollar AI transforms manual processes into efficient, automated workflows that drive productivity and reduce operational costs.