List of NeoAssist Nub.ia Customers
Sao Paulo, 01414-002,
Brazil
Since 2010, our global team of researchers has been studying NeoAssist Nub.ia customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased NeoAssist Nub.ia for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using NeoAssist Nub.ia for Generative AI Platforms include: Malwee Brazil, a Brazil based Manufacturing organisation with 5000 employees and revenues of $300.0 million, Usaflex Brazil, a Brazil based Manufacturing organisation with 3400 employees and revenues of $130.0 million, Loja Santo Antonio Brazil, a Brazil based Retail organisation with 75 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using NeoAssist Nub.ia, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The NeoAssist Nub.ia customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Loja Santo Antonio Brazil | Retail | 75 | $8M | Brazil | NeoAssist | NeoAssist Nub.ia | Generative AI Platforms | 2025 | n/a |
In 2025, Loja Santo Antônio integrated NeoAssist Núb.ia into its omnichannel customer service operations in Brazil, deploying the NeoAssist Núb.ia application from the Generative AI Platforms category. The implementation centralized AI driven interaction handling across digital channels to support the retailer's CX and customer service functions.
The deployment leveraged Núb.ia functional modules Resume, Sugere and Sentimento to provide automated summarization of contact history, real time response suggestions for agents, and sentiment scoring for prioritization. Configuration emphasized agent assist workflows and automated routing to balance AI handled interactions with human escalation.
Operational integration included WhatsApp as a primary channel, with Núb.ia instrumenting conversational flows and assisting agents within the customer service queue. The scope covered CX and customer service teams across Brazil and established omnichannel coverage to unify messaging and support interactions.
Within 60 days the deployment reached 24 percent of interactions handled by AI and 60 percent of WhatsApp interactions assisted by Núb.ia, outcomes reported as directly tied to the Resume, Sugere and Sentimento features. The case also reported a 27 percent reduction in Time to Resolution, with rollout and governance emphasizing agent oversight and escalation policies to maintain service quality.
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Malwee Brazil | Manufacturing | 5000 | $300M | Brazil | NeoAssist | NeoAssist Nub.ia | Generative AI Platforms | 2024 | n/a |
In 2024, Malwee Brazil deployed NeoAssist Nub.ia as a Generative AI Platforms implementation to scale customer support operations across Brazil. The engagement with vendor NeoAssist focused on scaling bots and omnichannel automation to absorb high volumes of inbound demands.
Implementation centered on AI driven conversational agents and automated case orchestration, leveraging NeoAssist Nub.ia's generative response capabilities for triage and first contact resolution. Functional modules implemented included bot led demand intake, intent recognition and routing, automated case creation and escalation workflows, and knowledge orchestration to maintain consistent responses across interactions.
Operational coverage targeted Malwee's customer support organization across Brazil, with bots handling 38,159 demands in a single year and a reported 50% reduction in Time to Resolution. Omnichannel automation was emphasized, enabling orchestration across inbound channels and aligning bot workflows with existing support processes.
Governance and rollout emphasized phased deployment, continuous model tuning, human escalation controls, and ongoing bot performance monitoring to manage conversational scope. The deployment positioned NeoAssist Nub.ia as the generative AI layer for Malwee's support function, combining conversational automation and case orchestration under centralized workflow governance.
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Usaflex Brazil | Manufacturing | 3400 | $130M | Brazil | NeoAssist | NeoAssist Nub.ia | Generative AI Platforms | 2025 | n/a |
In 2025, Usaflex Brazil implemented NeoAssist Nub.ia as a Generative AI Platforms solution to augment its customer service operations. The deployment concentrated on embedding generative and predictive AI capabilities into front-line support to accelerate agent handling of customer interactions.
The implementation used Núb.ia Resume and Núb.ia Sugere modules, with Núb.ia Resume summarizing conversation history and Núb.ia Sugere suggesting responses and protocol prompts for agents. Configuration prioritized in-line summarization and suggestion surfaces within ticket workflows to reduce time spent acquiring context and drafting replies.
Operationally the project targeted customer service and CRM in Brazil, embedding NeoAssist Nub.ia into contact center workflows and CRM records so summaries and response suggestions appear alongside tickets. The scope emphasized agent-facing tooling within the support organization rather than enterprise back-office systems.
NeoAssist's case study reports 3,925 AI requests over five months, an 83% reduction in time to read history, and a 10% reduction in TMR for AI-assisted protocols, outcomes tied to the Núb.ia generative and predictive AI features implemented. Governance focused on operationalizing summaries and suggested responses within live protocols while tracking AI request volumes and assisted protocol performance.
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