Sign up for our daily and weekly newsletters for the latest updates and exclusive content on the industry’s best AI coverage. Learn more
Emergence AIStartup founded by IBM Research veterans Appeared in Stealth earlier this year which has received more than $97 million in funding, today unveiled its enterprise-grade autonomous multi-agent AI orchestrator. This orchestrator claims to be one of the best products for businesses on the market.
Companies choose Emergence AI, a company whose name may be unfamiliar, over competitors from big technology vendors like Microsoft with its Magentic-One framework, Salesforce with Agentforce, and even Amazon’s Bedrock multi-framework announced today. Why should you do it? Agent Orchestrator?
One simple benefit is cross-application and cross-vendor compatibility.
“A modern enterprise has hundreds of systems, some legacy and some new,” said Satya Nitta, co-founder and CEO of Emergence AI, in a recent video call interview with VentureBeat. “Our technology connects these systems to automate workflows across platforms, something that vendors like Microsoft and Salesforce lack.”
In other words, your company may have multiple technology vendors, such as Salesforce for Slack, Microsoft or Google for email, and Notion or Monday for project tracking. Emergence’s argument is that trusting any of these with its solutions would be a mistake when they don’t always work well together. It aims to sit above the fray and work well. any Integrate the applications and vendors your business uses with the orchestrator.
Emergence’s Orchestrator acts as an advanced meta-agent that integrates API interactions and web navigation to optimize enterprise workflows.
The orchestrator acts as a hierarchical planner, enabling real-time planning, execution, and verification.
“We think of autonomous agents as similar to autonomous driving: they deal with dynamic environments and require planning, reasoning and deterministic execution,” Nitta said. “We are proud to announce the first multi-agent orchestrator built for web automation, featuring best-of-breed web agents and API agents working together to handle complex workflows.”
Emergence AI’s agents excel at performing complex tasks, such as navigating dynamically changing interfaces, extracting data from unstructured sources, and overcoming errors like broken links or unexpected pop-ups.
These capabilities are further enhanced through secure API interactions, enabling seamless workflows between applications and integration across enterprise systems.
“Autonomous agents are exciting, but they need to be deterministic,” Nitta emphasized. “Businesses don’t deploy systems that work 95% of the time. They have to work all the time.”
Orchestrator’s flexible architecture allows organizations to seamlessly integrate new agents and prompts. “Enterprises need run-time determinism and design-time flexibility. “We need to be able to adjust workflows and integrate new agents or prompts without having to write code,” explains Nitta.
Real use cases
Emergence AI has already proven the effectiveness of its orchestrator across multiple industries.
• Supply chain management: API agents retrieve and update supplier data from platforms such as SAP, while web agents collect insights from supplier portals, enabling comprehensive reporting and proactive decision-making.
• Financial services: Autonomous agents combine historical data aggregation and regulatory document analysis to produce in-depth financial reports.
• Quality Assurance (QA): Web agents automate testing by simulating user interactions to ensure error-free deployment of web applications. “Our agents can plan and execute test scenarios, identifying bugs and generating detailed reports, reducing weeks of manual work to hours. Productivity has improved tremendously,” said Nitta.
• Research and Analysis: Agents integrate structured API data with public records and research papers for detailed analysis.
These use cases highlight the orchestrator’s ability to handle tasks that previously relied on manual intervention, significantly reducing time and resource expenditure.
Nitta said coordinators can also assist with travel planning and bookings.
In general, across all of these use cases, “these workflows often involve integrating legacy and modern systems.”
variable price
Emergence AI offers a tiered pricing model designed to accommodate both developers and enterprises. “For developers, we offer a freemium model with 100 free tasks and then charge per task after that,” Nitta said. “Prices range from 5 cents to $1.50 per job depending on complexity, whether it’s a simple search or developing a test scenario.”
For large organizations, Emergence AI is testing an enterprise-centric pricing approach tied directly to measurable outcomes. “For enterprises, we are looking at value-based pricing,” Nitta explained. “Whether it’s expanding the capabilities of data scientists or automating workflows that require extensive manual work, it’s important to tie costs to ROI.”
Promise of future improvements
Emergence AI has also introduced a roadmap to expand the orchestrator’s capabilities. Planned features include a “build your own orchestrator” platform and an agent software development kit (SDK) that will allow developers to create custom agents. Future updates aim to integrate the Vision-Language Model (VLM) for advanced DOM handling and introduce a multi-transition dialog interface.
The company is addressing the gap in autonomous agent evaluation by introducing company-specific benchmarks. In recent tests using the WebVoyager benchmark, Emergence AI’s orchestrator outperformed industry standards by 10-30%, confirming its leadership in web automation.
Supports safety and scalability
Dr. Scratch Foundation President and CEO Margaret Honey praised the orchestrator’s role in improving safety and scalability. “We are partnering with Emergence to leverage Multiagent Orchestrator to implement an innovative agent solution for large-scale platform orchestration. “This approach will play an important role in supporting the Scratch Foundation’s mission to provide a safe and creative learning environment for children around the world while enhancing user safety.”
Emergence AI emphasizes enterprise-grade security in its solutions. Orchestrator can be deployed within a Virtual Private Cloud (VPC) or on-premises environment, ensuring compliance with stringent data protection standards. Integration of external frameworks and second- or third-party agents allows companies to tailor solutions to their specific needs.
The new future of corporate innovation
Emergence AI’s Orchestrator is designed to meet where enterprises are today, addressing challenges such as legacy infrastructure, data privacy, and system adaptability. With a commitment to continuous innovation, the company aims to push the boundaries of AI-based automation.
Nitta summarized the team’s expertise: “We are a group of researchers and technologists from leading AI labs such as IBM, Google, DeepMind, Amazon, Microsoft, and Meta. “We’ve built scalable AI systems that are used by hundreds of millions of people around the world, not just to write documentation, but to deliver code.”
For companies ready to explore custom automation solutions, Emergence AI provides the tools to achieve new levels of efficiency and adaptability. Interested companies can contact us through the Orchestrator API or visit the company website to learn more.
