Realtime Listening Reaction
Our realtime listening technology enables AI systems to process and respond to audio and video input in real-time, creating natural and responsive interactions. This technology powers applications in accessibility, live transcription, and interactive AI assistants.
By combining advanced speech recognition, natural language understanding, and rapid response generation, our system can understand context, emotion, and intent as conversations unfold - delivering the kind of patient, attentive listening that makes AI truly useful.
Agentic AI Framework
Our agentic AI framework enables the creation of autonomous AI agents that can plan, reason, and take action to accomplish complex tasks. These agents can break down high-level goals into actionable steps, use tools and APIs, and adapt their strategies based on feedbacks.
The framework supports both simple task automation and sophisticated multi-agent systems where multiple AI agents collaborate to solve complex problems. Built with modularity and extensibility in mind, it allows developers to create custom agents tailored to specific domains and use cases.
Vector Database & RAG
Our vector database and Retrieval-Augmented Generation (RAG) technology forms the foundation for intelligent information retrieval and contextual AI responses. By converting documents, code, and data into high-dimensional vectors, we enable semantic search that understands meaning rather than just matching keywords.
The RAG system combines this semantic search with large language models, allowing AI to access and reason over vast knowledge bases while maintaining accuracy and providing source attribution. This technology powers our products' ability to work with custom knowledge bases and deliver precise, contextual answers.
Online Search Integration
Our online search integration technology seamlessly connects AI systems with multiple search engines and specialized databases, including academic search platforms, general web search (via SearXNG), and domain-specific repositories. This enables AI to access up-to-date information and diverse knowledge sources.
The system intelligently routes queries to the most appropriate search engines, aggregates results, and presents information in a coherent, actionable format. This technology is essential for research applications and keeping AI systems grounded in current, verifiable information.