It is a multi-agent orchestration platform designed to help enterprises manage disparate systems, adapt to changing environments, and maintain compliance across diverse standards.
It is a multi-agent orchestration platform designed to help enterprises manage disparate systems, adapt to changing environments, and maintain compliance across diverse standards. The platform serves as a force-multiplier by enabling businesses to overcome common challenges, such as legacy infrastructures and workflow inefficiencies, while unlocking their full potential. It features an autonomous meta-agent that coordinates complex workflows between first- and third-party agents using hierarchical planning, continuous self-improvement, and simultaneous agent deployment. This ensures reliable and predictable execution of workflows, even in dynamic environments or when errors occur.
The Emergence Orchestrator, launched in December 2024, is built for enterprise scalability and can be deployed in private clouds, grounded in enterprise data, and scaled without compromising compliance. It includes intelligent routing, advanced agent capabilities, and avoids vendor lock-in, making it a future-proof solution for enterprises. The platform also supports skill harvesting, allowing agentic systems to autonomously develop specialized skills, and integrates with tools like CrewAI and LangChain to enhance productivity and cost efficiency.
Emergence’s researchers and engineers, who have worked on some of the world’s most scalable AI systems, drive the platform’s development. Key features include the ability to encode innate knowledge into AI systems, benchmark AI agents for reproducibility and bias, and generate reliable synthetic data for training. The platform has achieved state-of-the-art results on benchmarks like WebVoyager and focuses on aligning self-improving agents with human values.
Emergence is headquartered in New York, with offices in Irvine and Bengaluru, and continues to innovate in multi-agent orchestration, aiming to transform enterprise workflows and advance the science of autonomous agents.
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