List of Inbenta Conversational AI Platform Customers
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Since 2010, our global team of researchers has been studying Inbenta Conversational AI Platform 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 Inbenta Conversational AI Platform for Natural Language Processing 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 Inbenta Conversational AI Platform for Natural Language Processing include: AG2R La Mondiale, a France based Insurance organisation with 15000 employees and revenues of $9.00 billion, Neoenergia, a Brazil based Utilities organisation with 15528 employees and revenues of $8.03 billion, GOL Linhas Aéreas, a Brazil based Transportation organisation with 14048 employees and revenues of $3.01 billion and many others.
Contact us if you need a completed and verified list of companies using Inbenta Conversational AI Platform, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AG2R La Mondiale | Insurance | 15000 | $9.0B | France | Inbenta Technologies | Inbenta Conversational AI Platform | Natural Language Processing | 2021 | n/a |
In 2021, AG2R La Mondiale deployed the Inbenta Conversational AI Platform to support policyholder self-service across multiple websites, focusing on contact-page chat and FAQ interactions. The implementation was reported to handle approximately 550 sessions per day and concentrated on answering insurance-related queries and deflecting routine contact traffic.
The configuration included multiple chatbot instances alongside an AI-driven FAQ module, leveraging Natural Language Processing for intent recognition and question answering tailored to insurance terminology. The Inbenta Conversational AI Platform was configured to surface relevant documentation and escalate complex cases to human agents through automated routing workflows, with iterative tuning of intents and answers based on conversation logs.
Operational coverage emphasized policyholder support workflows and contact-page traffic, and vendor materials indicate the deployment enabled the insurer to identify friction points and improve document availability and customer satisfaction. Governance centered on FAQ content management and analytics-driven refinement, with module usage and session volume tracked as part of ongoing optimization described in the case example.
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GOL Linhas Aéreas | Transportation | 14048 | $3.0B | Brazil | Inbenta Technologies | Inbenta Conversational AI Platform | Natural Language Processing | 2020 | n/a |
In 2020, GOL Linhas Aéreas implemented Inbenta Conversational AI Platform, leveraging Natural Language Processing to automate customer-service travel and booking support. The deployment powered a branded chatbot named Gal across web and WhatsApp channels to provide self-service for check-in, booking management, flight status and baggage queries.
Configuration work focused on conversational intent classification, dialog flow orchestration and transactional workflows for check-in and booking management, using the Inbenta Conversational AI Platform to map domain intents to automated actions. Channel connectors for the web front end and WhatsApp enabled session continuity and conditional handoffs to live agents when automation could not resolve an inquiry.
Operationally the implementation covered GOL customer service touchpoints and reduced workload on the contact center. In 2020 the Gal chatbot handled approximately 895,000 customer queries, achieved around 90 percent autonomous interactions and enabled about 35 percent of check-ins to be completed via WhatsApp, improving customer experience and reducing contact center load.
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Neoenergia | Utilities | 15528 | $8.0B | Brazil | Inbenta Technologies | Inbenta Conversational AI Platform | Natural Language Processing | 2020 | n/a |
In 2020 Neoenergia deployed Inbenta Conversational AI Platform to automate customer service across its Brazilian utilities operations. The Inbenta Conversational AI Platform, categorized as Natural Language Processing, delivered a WhatsApp chatbot front end combined with a knowledge management layer to centralize customer interactions.
The implementation concentrated on conversational intent recognition, FAQ retrieval and scripted negotiation workflows to handle billing inquiries, outage notifications, reconnections and debt negotiation. Functional modules included the WhatsApp chatbot for customer channel engagement and a centralized knowledge base for responses and invoice request handling. Configuration emphasized automated dialog flows, escalation routing to human agents and managed context for multi step interactions.
Operational scope covered customer service, billing and collections processes within Neoenergia's Brazil footprint, with the chatbot front ending high volume inquiry routing. The solution launched in March 2020 and scaled rapidly in production, supporting high concurrency conversational traffic and automated resolution paths.
Outcomes reported by Neoenergia included millions of interactions, 11.5M invoice requests processed, $240M in negotiated debt and a 92% debt settlement rate as reported by the customer. Governance combined conversational content oversight, iterative script tuning and staged rollout of dispute and negotiation capabilities to control risk and maintain service continuity.
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