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. At its core, the Emergence Orchestrator is an autonomous meta-agent that coordinates complex workflows between first- and third-party agents using hierarchical planning, continuous self-improvement, and simultaneous agent deployment. It intelligently routes queries to optimal solving agents, ensuring reliable and predictable execution even in dynamic environments or when errors occur.
The platform is built for enterprise scalability, allowing deployment in private clouds, grounding in enterprise data, and maintaining compliance without compromising performance. It supports advanced agent capabilities, intelligent routing, and avoids vendor lock-in, making it a future-proof solution for businesses. Since its launch in December 2024, the Emergence Orchestrator has introduced new features to streamline operations, strengthen compliance, and adapt to evolving enterprise needs. It also emphasizes benchmarking to address challenges like reproducibility, bias, and real-world applicability, ensuring scalable and trustworthy AI agent adoption.
Emergence’s research and engineering teams, with experience in building some of the world’s most scalable AI systems, drive the platform’s development. The company has published papers on topics such as encoding innate knowledge into AI systems, the functional roles of transformer layers, and the generation of reliable synthetic data. The platform also supports self-improving agents that autonomously develop specialized skills, aligning with human values and enterprise objectives. By integrating AI agents into workflows, Emergence aims to supercharge productivity, reduce costs, and enable enterprises to thrive in the emerging agent-driven era.
It is a platform called AnswerGrid Workspace designed to help consulting and professional services firms enhance their workflows using generative AI tools.
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 platform designed to build and deploy Generative AI (GenAI) in mission-critical applications, enabling enterprises to create AI Assistants and Agents that deliver accurate, secure, and scalable solutions.
It is an AI-powered platform designed to assist Chartered Accountants, Lawyers, and other professionals in streamlining their research, drafting, and advisory tasks related to Corporate, Tax, and Regulatory Laws.
It is a GenAI evaluation and observability platform designed to simulate, evaluate, and observe AI agents, enabling users to develop, test, and deploy AI applications with enhanced quality, speed, and reliability.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is a platform that enables businesses to build, operate, and scale enterprise AI agents to automate complex tasks, analyze data, and improve productivity.
It is a service that provides AI-powered voice agents to ensure businesses never miss a call, thereby preventing lost revenue and improving customer engagement.
It is an AI-powered agent designed to handle every aspect of customer security reviews, including sharing security information and answering security questionnaires.
It is an open-source platform called Agience that enables individuals and organizations to build, deploy, and manage intelligent AI agents using secure, distributed architecture.
It is a visual platform designed for operations teams to build, manage, and deploy an entire AI workforce, enabling intelligent automation for high-stakes tasks across any industry.
It is a Web3 ecosystem powered by fruit-themed AI agents designed to provide specialized insights and tools for blockchain analysis, market intelligence, and investment strategies.
It is a platform that leverages AI agents to enhance customer success management (CSM) by enabling CSMs to serve more customers effectively and efficiently.
It is a comprehensive customer experience management (CXM) platform that unifies all aspects of customer interactions—customer care, sales, social media, and automation—into a single, powerful solution.
It is a platform designed to simplify and accelerate the creation of functional AI agents by providing tools for discovering, testing, and integrating APIs and large language models (LLMs).
It is a platform that automates the entire customer security review process, from securely sharing documents to generating instant, highly accurate answers to security questionnaires and RFPs.
It is a platform that uses advanced speech-to-text and speech understanding models to provide reliable, accurate, and scalable solutions for transcribing and analyzing voice data.
It is a framework designed to help developers build applications that make decisions, such as chatbots, agents, and simulations, using simple Python building blocks.
It is a simulation and evaluation platform designed to test and optimize AI voice and chat agents by leveraging advanced testing methodologies originally developed for self-driving car technology.
