Emergence’s AI orchestrator launches to break Big Tech’s silos

Emergency AIa startup founded by IBM Research veterans who surfaced surreptitiously earlier this year with more than $97 million in funding, today unveiled its enterprise-grade autonomous multi-agent AI orchestrator, which it claims is among the best offerings for enterprises on the market.

Why would a company choose Emergence AI, a company whose name is probably unfamiliar, over rival offerings from big tech providers like Microsoft with its Magentic-One framework OR Salesforce with Agentforceor even, as announced today, Amazon’s Bedrock multi-agent orchestrator?

A simple advantage: compatibility between applications and vendors.

“Modern enterprises have hundreds of systems, some legacy, some modern,” said Satya Nitta, co-founder and CEO of Emergence AI, in a recent video call interview with VentureBeat. “Our technology connects these systems, automating workflows on platforms where vendors like Microsoft or Salesforce fall short.”

Put another way: Your company probably has multiple technology providers like Salesforce for Slack, Microsoft or Google for email, and maybe even Notion or Monday for project tracking. Emergence’s thesis is that trusting a proprietary solution from any of these people would be a mistake if they don’t always interact well together. It aims to sit above the fray and work well Anyone application and vendor used by the company, merging them all with its own orchestrator.

The Emergence Orchestrator acts as an advanced meta-agent that integrates API interactions and web navigation to optimize business workflows.

The orchestrator operates as a hierarchical planner, enabling real-time planning, execution, and verification.

“We think of autonomous agents as analogous to autonomous driving, dealing with dynamic environments and requiring deterministic planning, reasoning and execution,” Nitta said. “We are proud to announce the first multi-agent orchestrator built for web automation, featuring an exceptional web agent and API agent that work together to tackle complex workflows.”

Emergence AI agents excel at performing complex tasks, such as navigating dynamically changing interfaces, extracting data from unstructured sources, and overcoming errors such as broken links or unexpected pop-ups.

These capabilities are further enhanced by secure API interactions, which enable seamless cross-application workflows and integration between enterprise systems.

“Autonomous agents are interesting but they need to be deterministic,” Nitta emphasized. “Companies aren’t going to implement systems that work 95% of the time – they need to work all the time.”

Orchestrator’s flexible architecture allows organizations to integrate new agents and prompts seamlessly. “Businesses need runtime determinism and design flexibility. They should be able to adapt workflows and integrate new agents or prompts without writing code,” Nitta explained.

Real-world use cases

Emergence AI has already demonstrated the effectiveness of its orchestrator in several areas:

• Supply chain management: API agents retrieve and update supplier data from platforms like SAP, while web agents collect information from supplier portals, enabling comprehensive reporting and proactive decision making.

• Financial Services: Autonomous agents combine historical data aggregation with regulatory document analysis to create insightful financial reports.

• Quality Assurance (QA): Web agents automate tests by simulating user interactions, ensuring error-free deployments of web applications. “Our agents can plan and execute test scenarios, reducing weeks of manual work into hours, identifying bugs and generating detailed reports. It’s a huge productivity boost,” shared Nitta.

• Research and analysis: Agents integrate structured API data with public documents and research documents for detailed analysis.

These use cases highlight the orchestrator’s ability to handle tasks that previously depended on manual intervention, significantly reducing time and resources spent.

Nitta also said the orchestrator can help with trip planning and booking.

Overall, for all of these use cases, “these workflows often involve the integration of legacy and modern systems.”

Flexible prices

Emergence AI offers a tiered pricing model designed to accommodate both developers and enterprises. “We offer developers a freemium model with 100 free shares, after which we pay per share,” Nitta said. “Prices range from five cents to $1.50 per share depending on the complexity, whether it’s simple research or something like developing a test case.”

For larger organizations, Emergence AI is testing an enterprise-focused pricing approach tied directly to measurable outcomes. “For businesses, we are exploring value-based pricing,” Nitta explained. “It’s about tying costs to ROI, for example by extending the capabilities of a data scientist or automating workflows that would otherwise require a lot of manual effort.”

Future improvements promised

Emergence AI also introduced a roadmap to expand the capabilities of its orchestrator. Planned features include a “Build Your Own Orchestrator” platform and an Agent Software Development Kit (SDK), which allows developers to create custom agents. Future updates aim to integrate Vision-Language Models (VLMs) for advanced DOM processing and introduce multi-turn conversational interfaces.

The company is filling a gap in autonomous agent evaluation by introducing company-specific benchmarks. In recent tests using the WebVoyager benchmark, Emergence AI Orchestrator outperformed industry standards by 10-30%, establishing its leadership in web automation.

Support security and scalability

Dr. Margaret Honey, President and CEO of the Scratch Foundation, praised the orchestrator’s role in promoting security and scalability. “We are partnering with Emergence and leveraging their Multiagent Orchestrator to implement an innovative agent solution for platform moderation at scale. This approach will be instrumental in improving user safety while supporting the Scratch Foundation’s mission to provide a safe and creative learning environment for children around the world.”

Emergence AI emphasizes enterprise-grade security in its solutions. The Orchestrator can be deployed within Virtual Private Cloud (VPC) or on-premise environments, ensuring compliance with rigorous data protection standards. The integration of external frameworks and second or third party agents allows companies to customize solutions tailored to their specific needs.

An emerging future of business innovation

The Emergence AI Orchestrator is designed to meet businesses wherever they are, 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-driven automation.

Nitta summed up the team’s expertise, stating: “We are a group of researchers and technicians from top AI labs such as IBM, Google, DeepMind, Amazon, Microsoft and Meta. We’ve built scalable AI systems used by hundreds of millions of people around the world, not just writing articles but delivering code.”

For companies ready to explore tailored automation solutions, Emergence AI offers the tools to unlock new levels of efficiency and adaptability. Interested companies can learn more by contacting API Orchestrator or visiting the company’s website.