Cognizant Makes Scalable Agent Networks Accessible to Every Enterprise
The AI Agents Market is anticipated to rapidly grow over the next five years, from a value of USD 5.1 billion in 2024 to a projected worth of USD 47.1 billion by the year 2030. Today's news speeds how enterprises can leverage interconnected agents to explore new revenue streams and drive scalable business value. Developed by Cognizant's AI Lab, the open-sourced software for Neuro® AI Multi-Agent Accelerator demonstrates Cognizant's leadership in AI innovation and its commitment to advancing the application of AI Agents.
Clients like Telstra, Australia's leading telecommunications and technology company, are working with Cognizant to test and deploy multi-agent systems.
"The open sourcing of the Neuro AI Multi-Agent Accelerator will further empower our teams to rapidly prototype and integrate existing AI agents, and help accelerate our software development lifecycle," said Telstra's Group Executive for Product and Technology, Kim Krogh Andersen. "We're already starting to see the potential for gains in quality, velocity and efficiency as a result."
Cognizant has also helped a healthcare company create a Contract Negotiator agent network that speeds up medical appeal processing times, as well as a consumer packaged goods firm for analyzing supply chain management. Cognizant is in the process of more than 65 conversations with clients around agentic AI.
Building a successful multi-agent network requires the ability to orchestrate diverse agents, tools, and knowledge sources — including general-purpose large language models (LLMs) and organization-specific systems like service level management (SLMs) or retrieval-augmented generation (RAG) frameworks. Cognizant's Neuro AI Multi-Agent Accelerator aims to enable virtually seamless integration with APIs, RAG, and third-party agents like Salesforce's Agentforce, Google's Agentspace, or Crew AI—via its native Model Context Protocol (MCP) or standard API calls. An optional inter-agent coordination protocol allows these agents to autonomously organize, delegate tasks, and route processes—boosting efficiency and minimizing errors. Agent2Agent (A2A) protocol is also supported, which expands agent collaboration across clouds, platforms, and organizational boundaries.
"To stay competitive in the era of agentic AI, enterprises must be free to experiment—to explore how agents can transform business processes and drive operational efficiencies," said Babak Hodjat, Chief Technology Officer of AI at Cognizant. "By open-sourcing Neuro AI Multi-Agent Accelerator, we're expanding access to our cutting-edge multi-agent technology—empowering developers to innovate faster, and enabling decision-makers, regardless of technical background, to rapidly prototype systems and directly observe their impact on key performance indicators.
"Agentforce is built on Salesforce's deeply unified platform that is open and extensible, empowering our ecosystem of partners and builders to innovate with AI that's grounded in trust. Cognizant's decision to open source its Neuro AI Multi-Agent Accelerator exemplifies the kind of partnership that helps our customers move faster and innovate with confidence," said Gary Lerhaupt, Vice President of Product Architecture, Salesforce. "Together, we're enabling enterprises to deploy agents that think, collaborate, and deliver value—across every corner of their business."
Neuro® AI Multi-Agent Accelerator - Key Features:
Intelligent Opportunity Discovery: Provide a company name or problem area, and the Agent Network Designer will automatically propose a tailored agentic network aligned to your use case—helping you move from idea to implementation faster.
Rapid and Streamlined Customization: Quickly build and modify multi-agent systems using natural language or leverage prebuilt templates for domains like loan origination, customer service, retail optimization, and intranet automation—dramatically reducing development cycles and risk.
Scalable, Distributed Operation: Connectors support homegrown tools, APIs, and third-party agents like Salesforce's Agentforce and Google Agentspace via Model Context Protocol (MCP) or standard API calls. A coordination layer enables agents to intelligently self-organize, distribute tasks, and route processes—boosting efficiency and reducing errors.
Secure Private Data: Supports regulated industries such as finance and healthcare by isolating confidential information through private data channels to support compliance and data protection.
LLM and Cloud Provider Agnostic: Easily switch between open-source and most commercial LLMs, as well as private/public cloud providers, without the need for system rebuilds.
Extensible Coded Tools: Enhance agent networks with custom-coded tools—vital for grounding agent decisions in real-time data, or for defining logical boundaries that trigger human intervention where needed.
Multi-server, Distributed Deployment: Run agent sub-networks across multiple servers, enabling scalable architectures that support parallel processing, geographic distribution, or segmented use cases.
Data-Driven Network Definition: Define and update your agentic systems entirely via data-only configuration files—supporting version control, auditability, and rapid reusability across projects.
Agent Testing Capability: Use the Agent Network Tester to identify bottlenecks or breakdowns within your network. Get actionable insights into coordination issues, agent logic gaps, or integration errors.
Cognizant Scales Agents to 330,000 people via its Intranet, 1Cognizant
Thousands of employees now use 1Cognizant, an intranet assistant powered by its Neuro AI Multi-Agent Accelerator. This tool consolidates and organizes multiple agents to efficiently help employees with various tasks, from reserving meeting rooms and calling cabs to handling inquiries like moving countries or getting married. 1Cognizant can now provide immediate actionable advice and assistance to employees, increasing efficiency and breaking down internal silos.
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Fine milling (200-mesh grind, P80 = 75 µm) shows a weighted average gold extraction of 90.1% for the non-silicified volcanics, 86.1% for the silicified volcanics, and 87.7% for the silica breccia (SBX). Column leaching of conventional crushed (combined P80 = 12.5 & 25.0 mm columns) shows a weighted average extraction of 83.1% for the non-silicified volcanics (heap leachable). Dual Recovery Pathways: Results continue to support a development path utilizing conventional milling for higher-grade material, while lower-grade, non-silicified volcanics are suitable for run of mine (" ROM") heap leaching. Simplified Flowsheet: The revised proposed flowsheet has been simplified and is expected to result in lower operating and initial capital costs by replacing three-stage crushing with a primary and secondary crusher and eliminating the convey-stack process. 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Table 2. Summary Atlanta metallurgical results from Phase 1 and 2, gold bottle roll & column leach tests Bulk Sample & Phase-1: Silver Met Balances *2 KCA Sample No. Comp ID Unconf Abv/Below Atlanta Geology 37µm BR 75µm BR 1,700µm BR 12.5mm Columns 25mm Columns HPGR Columns Formation Ag Ext % Calc Hd Ag (ppm) Ag Ext % Calc Hd Ag (ppm) Ag Ext % Calc Hd Ag (ppm) Ag Ext % Calc Hd Ag (ppm) Ag Ext % Calc Hd Ag (ppm) Ag Ext % Calc Hd Ag(ppm) 96601 B ABS#1 Below Dolomite 23.8 65.20 23.5 62.64 9.6 51.46 3.5 63.89 8.5 62.67 96602 B ABS#2 Below SBX-1 56.8 15.92 54.4 15.20 52.8 13.29 29.7 12.74 34.2 14.02 96603 B ABS#3 Below SBX-1 43.2 134.92 46.0 119.74 31.5 132.19 22.1 122.56 28.5 132.00 96605 A ATV-1 Above Rhyolite 64.1 2.48 34.4 3.98 18.4 4.13 16.1 3.60 24.5 3.26 96606 A ATV-2 Above Rhyolite 55.1 10.84 24.9 18.55 16.5 15.78 9.4 16.78 96607 A ATV-3 Above Rhyolite 43.2 2.53 24.3 4.63 13.1 4.95 12.4 4.03 13.7 5.18 96608 A ATV-4 Below SBX-1 53.7 12.83 21.6 22.99 8.7 19.00 3.2 21.30 7.1 22.67 96609 A ATV-5 Above VolSS 55.7 2.01 22.3 3.83 8.2 3.81 9.4 3.07 96610 A ATV-6 Above Tuff Dike Breccia 70.1 2.98 39.8 4.33 29.0 4.97 25.5 4.04 27.6 4.45 96611 A ATV-7 Below SBX-1 57.8 21.54 35.6 33.22 24.9 27.60 28.1 37.48 31.7 37.88 96612 A ATV-8 Below Dolomite 40.0 1.02 20.2 1.85 5.7 2.26 8.8 1.02 96613 A ATV-9 Below SBX-1, 73.9 35.61 56.5 47.67 64.7 42.26 53.2 47.68 61.6 50.72 96614 A ATV-10 Below Dolomite 55.4 2.49 22.4 5.06 10.3 5.50 4.7 5.71 7.7 5.94 96615 A ATV-11 Below, SBX-1, 78.8 25.71 62.0 34.73 46.3 32.92 29.0 30.41 42.8 30.42 96616 A ATV-12 Above Rhyolite, 36.0 0.38 8.0 1.45 8.5 0.91 11.6 0.86 8.9 0.79 96617 A ATV-13 Above RhyoDacite 77.9 1.09 37.2 2.35 47.1 1.51 60.6 0.99 96618 A ATV-14 Above Rhyolite 83.5 1.67 49.7 2.52 43.9 1.72 35.9 1.70 38.8 2.40 96619 A ATV-15 Above Tuff Dike Breccia 83.2 69.08 82.3 63.12 38.4 66.60 30.8 65.04 96620 A ATV-16 Above RhyoDacite Tuff & Rhyolitic TDB w/Hem, 20.4 3.45 14.9 3.87 7.4 3.14 6.6 3.66 96621 A ATV-17 In/Above SBX-2 61.1 36.18 64.6 38.62 33.4 38.17 29.1 46.59 37.6 35.76 96622 A ATV-18 In/Above RhyoDacite,Dacite,VolSS 44.4 1.42 34.0 2.07 44.4 1.16 27.2 1.80 23.8 1.89 96623 A ATV-19 Above/Below Tuff Dike Breccia(>>Au),Dolomite 52.6 31.98 56.9 33.89 35.6 31.42 45.4 45.04 *2 - Silver Extraction is not sensitive to position above or below the unconformity, but does show some sensitivity to Ag head grade. 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Table 3. Summary Atlanta metallurgical results from Phase 1 and 2, silver bottle roll & column leach tests QA/QC Protocols All PQ-diameter core was sampled in the Company's warehouse in Winnemucca, Nevada, with whole core samples being placed in heavy canvas bags and sent to American Assay Lab in Reno, Nevada, in heavy shipping bags by a Company contractor with full custody being maintained at all times. CRF standards and coarse blanks were inserted into the sample stream on a one-in-twenty sample basis, meaning both inserts are included in each 20-sample group. At American Assay Lab, samples were weighted, and then completely crushed to -1 inch. The coarse-crushed sample was quarter-split and one quarter was reduced to 75% passing 2mm. A 300g split was subsequently pulverized to 85% passing 75 microns. Prepared samples are initially run using a four acid + boric acid digestion process and conventional multi-element ICP-OES analysis. Gold assays are initially run using 30-gram samples by lead fire assay with an OES finish to a 0.003 ppm detection limit, with samples greater than 10 ppm finished gravimetrically. Every sample is also run through a cyanide leach for gold with an ICP-OES finish. The QA/QC procedure involves regular submission of Certified Analytical Standards and property-specific duplicates. Qualified Person The scientific and technical information in this news release has been reviewed and approved by Calvin R. Herron, who is a Qualified Person as defined by National Instrument 43-101 (" NI 43-101"). About Nevada King Gold Corp. Nevada King is focused on advancing and growing its 100% owned, past producing, 120km 2 Atlanta Gold Mine project located along the Battle Mountain trend in southeast Nevada. The project hosts an NI 43-101 compliant pit-constrained oxide resource of 1,020koz Au in the measured and indicated category (27.7M tonnes at 1.14 g/t) plus an inferred resource of 98.5koz Au (3.6M tonnes at 0.84 g/t) that replaces the Gustavson 2020 resource summarized below (see the NI 43-101 Technical Report on Resources titled "Atlanta Property, Lincoln County, NV" with an effective date of October 6, 2020, and a report date of December 22, 2020, as prepared by Gustavson Associates and filed under the Company's profile on SEDAR+ Previous NI 43-101 Mineral Resources at the Atlanta Mine by Gustavson 2020 NI 43-101 Mineral Resources at the Atlanta Mine by RESPEC 2025 Please see the Company's website at Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release. Cautionary Statements Regarding Forward Looking Information This news release contains certain "forward-looking information" and "forward-looking statements" (collectively "forward-looking statements") within the meaning of applicable securities legislation. All statements in this release, other than statements of historical fact, included herein, without limitation, statements relating to the future operations and activities of Nevada King, plans, intentions, beliefs, and current expectations with respect to future mining operations and metallurgical processes, the potential of the simplified flowsheet to result in lower operating and initial capital costs, the amenability of various mineralized zones to processing methods, the suitability of heap leaching or milling for specific material types, the potential advancement or development of the Atlanta Mine, and the Company's ability to potentially expand mineral resources are forward-looking statements. Forward-looking statements are frequently, but not always, identified by words such as "expects", "anticipates", "believes", "intends", "estimates", "potential", "possible", and similar expressions, or statements that events, conditions, or results "will", "may", "could", or "should" occur or be achieved. There can be no assurance that such statements will prove to be accurate, and actual results and future events could differ materially from those anticipated in such statements. Forward-looking statements reflect the beliefs, opinions and projections on the date the statements are made and are based upon a number of assumptions and estimates that, while considered reasonable by Nevada King, are inherently subject to significant business, economic, technical, geologic, environmental, regulatory, competitive, political and social uncertainties and contingencies. Many factors, both known and unknown, could cause actual results, performance or achievements to be materially different from the results, performance or achievements that are or may be expressed or implied by such forward-looking statements and the parties have made assumptions and estimates based on or related to many of these factors. Such factors include, without limitation, the ability to complete proposed exploration work, the results of exploration, continued availability of capital, and changes in general economic, market and business conditions. Readers should not place undue reliance on the forward-looking statements and information contained in this news release concerning these items. Nevada King does not assume any obligation to update forward-looking statements of beliefs, opinions, projections, or other factors, should they change, except as required by applicable securities laws.
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