Research Focus Areas
At OmniAgents Labs, our multidisciplinary research spans several key areas essential for building the next generation of AI systems.
Multimodal AI
Developing AI systems that seamlessly integrate vision, language, and audio understanding for richer contextual awareness.
Autonomous Agents
Building intelligent agents capable of independent decision-making, planning, and task execution in complex environments.
Reasoning & Planning
Advancing AI reasoning capabilities through novel architectures that enable multi-step logical thinking.
Reinforcement Learning
Exploring new techniques in RL for training agents that continuously improve through interaction and feedback.
Featured Research
Our foundational whitepaper outlining the OmniChat AI research agenda and architecture.
A Roadmap-Driven Architecture for Multimodal Autonomous Enterprise Agents
OmniChat AI Research Team
This paper presents the OmniChat AI research agenda and system architecture along four phases: foundation building with a modular multimodal pipeline and deterministic decision policies, enhanced capabilities via cross-modal intelligence and reinforcement-learning-based decision making, advanced autonomy through long-term memory, contextual understanding, and hierarchical planning, and ecosystem expansion focused on agent collaboration, domain-specialized agents, and ethics-aware global deployment.
Ongoing Research Projects
Active research initiatives at OmniAgents Labs shaping the future of AI.
Project Aurora
Next-generation multimodal foundation model with enhanced reasoning capabilities
AgentBench 2.0
Comprehensive benchmark suite for evaluating autonomous AI agent capabilities
SafeGuard Initiative
Research into robust safety mechanisms for deployed AI systems