New simulation layer allows enterprises to run large-scale agent evaluations, providing insights & evidence to safely deploy, test, and continuously improve enterpriseNew simulation layer allows enterprises to run large-scale agent evaluations, providing insights & evidence to safely deploy, test, and continuously improve enterprise

NiCE Cognigy Unveils Simulator, an AI Performance Lab to Enable Enterprise-Scale Evaluation of Production-Grade AI Agents

New simulation layer allows enterprises to run large-scale agent evaluations, providing insights & evidence to safely deploy, test, and continuously improve enterprise-grade AI Agents.

HOBOKEN, N.J.–(BUSINESS WIRE)–NiCE (Nasdaq: NICE) today announced the launch of Cognigy Simulator, an AI performance lab providing enterprises with the confidence, evidence, and speed they need to safely evaluate, test, deploy and scale AI Agents across their customer experience operations.

In the age of AI systems, agent testing isn’t merely a phase of the development process; it’s part of a continuous feedback loop. Designed for this new reality, Simulator provides an expansive simulation layer that uncovers opportunities, exposes blind spots, and strengthens AI Agents before they reach production, while also enabling continuous refinement as they operate and learn in the real world.

“AI Agents have become a catalyst for transforming customer experience operations,” said Philipp Heltewig, General Manager, NiCE Cognigy and Chief AI Officer. “Simulator provides data-informed testing and reporting to help organizations understand AI Agent performance and compliance alignment, so organizations can make deployment decisions with confidence.”

Simulator mirrors real audiences through digital twins that capture customer demographics, language, and intent variance. Within minutes, enterprises can spawn synthetic customers engaging simultaneously in thousands of realistic, adversarial, and edge-case interactions, revealing how customers react, not how scripts imagine they will.

This allows organizations to rigorously rehearse, evaluate, and harden AI Agents before they are exposed to real-world interactions.

Every simulation run is scored against success criteria such as task completion, guardrail adherence, integration reliability, and experience quality. Simulator doesn’t just show that an AI Agent “works”; it provides evidence that it meets business expectations and supports compliance efforts.

“AI-driven customer service is already entering a phase where ongoing evaluation and refinement are essential,” added Heltewig. “Simulator integrates continuous testing directly into CX operations, ensuring AI Agents are routinely exercised, measured, and improved across build, deploy, and optimization cycles.”

Key Benefits of Simulator:

  • Scalable Testing: Run large-scale agent evaluations with thousands of synthetic conversations via on-demand, scheduled, or automated regression tests to validate Agentic AI interaction handling.
  • Automated Scenario Generation: Accelerate QA by auto-building scenarios with personas, missions, and success criteria from existing AI Agents or transcripts.
  • Quantitative Evaluation: Score every simulation run on task completion, guardrail adherence, integration reliability, experience quality, and other success criteria.
  • Targeted Improvements: Pinpoint where prompts, flows, or policies need refinement with immediate and deep insights into agent performance and failed conversations.
  • Safe Integration Simulation: Harden mission-critical integrations by emulating the full range of third-party API responses, from clean paths to rare error conditions.
  • A/B & Variant Comparison: Optimize outcomes by comparing prompt strategies, guardrails, fulfillment logic, or foundation models to identify top performers.

Simulator will be showcased in a live webinar on January 22, 2026. Register here to see it in action.

About NiCE

NiCE (NASDAQ: NICE) is transforming the world with AI that puts people first. Our purpose-built AI-powered platforms automate engagements into proactive, safe, intelligent actions, empowering individuals and organizations to innovate and act, from interaction to resolution. Trusted by organizations throughout 150+ countries worldwide, NiCE’s platforms are widely adopted across industries connecting people, systems, and workflows to work smarter at scale, elevating performance across the organization, delivering proven measurable outcomes.

Trademark Note: NiCE and the NiCE logo are trademarks of NICE Ltd. All other marks are trademarks of their respective owners. For a full list of NICE’s marks, please see: www.nice.com/nice-trademarks.

Forward-Looking Statements

This press release contains forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Such forward-looking statements, including the statements by Mr. Heltewig, are based on the current beliefs, expectations and assumptions of the management of NICE Ltd. (the “Company”). In some cases, such forward-looking statements can be identified by terms such as “believe,” “expect,” “seek,” “may,” “will,” “intend,” “should,” “project,” “anticipate,” “plan,” “estimate,” or similar words. Forward-looking statements are subject to a number of risks and uncertainties that could cause the actual results or performance of the Company to differ materially from those described herein, including but not limited to the impact of changes in general economic and business conditions; competition; successful execution of the Company’s growth strategy; success and growth of the Company’s cloud Software-as-a-Service business; rapid changes in technology and market requirements; the implementation of AI capabilities in certain products and services, decline in demand for the Company’s products; inability to timely develop and introduce new technologies, products and applications; difficulties in making additional acquisitions or difficulties or effectively integrating acquired operations; loss of market share; an inability to maintain certain marketing and distribution arrangements; the Company’s dependency on third-party cloud computing platform providers, hosting facilities and service partners; cyber security attacks or other security incidents; privacy concerns; changes in currency exchange rates and interest rates, the effects of additional tax liabilities resulting from our global operations, the effect of unexpected events or geo-political conditions, including those arising from political instability or armed conflict that may disrupt our business and the global economy; our ability to recruit and retain qualified personnel; the effect of newly enacted or modified laws, regulation or standards on the Company and our products and various other factors and uncertainties discussed in our filings with the U.S. Securities and Exchange Commission (the “SEC”). For a more detailed description of the risk factors and uncertainties affecting the company, refer to the Company’s reports filed from time to time with the SEC, including the Company’s Annual Report on Form 20-F. The forward-looking statements contained in this press release are made as of the date of this press release, and the Company undertakes no obligation to update or revise them, except as required by law.

Contacts

Corporate Media Contact
Christopher Irwin-Dudek, +1 201 561 4442, [email protected], ET

Investors
Ryan Gilligan, +1-551-417-2531, [email protected], ET

Omri Arens, +972 3 763-0127, [email protected], CET

Market Opportunity
LAB Logo
LAB Price(LAB)
$0.16583
$0.16583$0.16583
+2.45%
USD
LAB (LAB) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

The Channel Factories We’ve Been Waiting For

The Channel Factories We’ve Been Waiting For

The post The Channel Factories We’ve Been Waiting For appeared on BitcoinEthereumNews.com. Visions of future technology are often prescient about the broad strokes while flubbing the details. The tablets in “2001: A Space Odyssey” do indeed look like iPads, but you never see the astronauts paying for subscriptions or wasting hours on Candy Crush.  Channel factories are one vision that arose early in the history of the Lightning Network to address some challenges that Lightning has faced from the beginning. Despite having grown to become Bitcoin’s most successful layer-2 scaling solution, with instant and low-fee payments, Lightning’s scale is limited by its reliance on payment channels. Although Lightning shifts most transactions off-chain, each payment channel still requires an on-chain transaction to open and (usually) another to close. As adoption grows, pressure on the blockchain grows with it. The need for a more scalable approach to managing channels is clear. Channel factories were supposed to meet this need, but where are they? In 2025, subnetworks are emerging that revive the impetus of channel factories with some new details that vastly increase their potential. They are natively interoperable with Lightning and achieve greater scale by allowing a group of participants to open a shared multisig UTXO and create multiple bilateral channels, which reduces the number of on-chain transactions and improves capital efficiency. Achieving greater scale by reducing complexity, Ark and Spark perform the same function as traditional channel factories with new designs and additional capabilities based on shared UTXOs.  Channel Factories 101 Channel factories have been around since the inception of Lightning. A factory is a multiparty contract where multiple users (not just two, as in a Dryja-Poon channel) cooperatively lock funds in a single multisig UTXO. They can open, close and update channels off-chain without updating the blockchain for each operation. Only when participants leave or the factory dissolves is an on-chain transaction…
Share
BitcoinEthereumNews2025/09/18 00:09
Will XRP Price Increase In September 2025?

Will XRP Price Increase In September 2025?

Ripple XRP is a cryptocurrency that primarily focuses on building a decentralised payments network to facilitate low-cost and cross-border transactions. It’s a native digital currency of the Ripple network, which works as a blockchain called the XRP Ledger (XRPL). It utilised a shared, distributed ledger to track account balances and transactions. What Do XRP Charts Reveal? […]
Share
Tronweekly2025/09/18 00:00
China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise

China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise

The post China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise appeared on BitcoinEthereumNews.com. China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise China’s internet regulator has ordered the country’s biggest technology firms, including Alibaba and ByteDance, to stop purchasing Nvidia’s RTX Pro 6000D GPUs. According to the Financial Times, the move shuts down the last major channel for mass supplies of American chips to the Chinese market. Why Beijing Halted Nvidia Purchases Chinese companies had planned to buy tens of thousands of RTX Pro 6000D accelerators and had already begun testing them in servers. But regulators intervened, halting the purchases and signaling stricter controls than earlier measures placed on Nvidia’s H20 chip. Image: Nvidia An audit compared Huawei and Cambricon processors, along with chips developed by Alibaba and Baidu, against Nvidia’s export-approved products. Regulators concluded that Chinese chips had reached performance levels comparable to the restricted U.S. models. This assessment pushed authorities to advise firms to rely more heavily on domestic processors, further tightening Nvidia’s already limited position in China. China’s Drive Toward Tech Independence The decision highlights Beijing’s focus on import substitution — developing self-sufficient chip production to reduce reliance on U.S. supplies. “The signal is now clear: all attention is focused on building a domestic ecosystem,” said a representative of a leading Chinese tech company. Nvidia had unveiled the RTX Pro 6000D in July 2025 during CEO Jensen Huang’s visit to Beijing, in an attempt to keep a foothold in China after Washington restricted exports of its most advanced chips. But momentum is shifting. Industry sources told the Financial Times that Chinese manufacturers plan to triple AI chip production next year to meet growing demand. They believe “domestic supply will now be sufficient without Nvidia.” What It Means for the Future With Huawei, Cambricon, Alibaba, and Baidu stepping up, China is positioning itself for long-term technological independence. Nvidia, meanwhile, faces…
Share
BitcoinEthereumNews2025/09/18 01:37