Woodinville, 98072, WA,
United States
Redapt, formerly Attunix
Redapt, formerly Attunix, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Redapt, formerly Attunix collaboration with software players such as Microsoft empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| Redapt, formerly Attunix | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development |
| Redapt, formerly Attunix | Microsoft | Microsoft QnA Maker | Natural Language Processing | AI-Powered Application |
| Redapt, formerly Attunix | Microsoft | Microsoft Azure Text | Natural Language Processing | AI-Powered Application |
| Redapt, formerly Attunix | Microsoft | Azure Text Analytics | Analytics and BI | Analytics and BI |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
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City of Corona | Government | 2000 | $337M | United States | Microsoft | Microsoft QnA Maker | Natural Language Processing | 2018 |
In 2018, the City of Corona implemented Microsoft QnA Maker to power a public-facing chatbot for citizen services. Microsoft QnA Maker is in the Natural Language Processing category and was deployed alongside other Azure Cognitive Services to surface answers to citizen FAQs and reduce call volume.
The deployment centralized an editable knowledge base as the primary content store for QnA pairs and authored responses, enabling nontechnical content owners to update FAQs and control answer phrasing. Configuration emphasized question and answer mapping, automated retrieval ranking, and fallback handling to route unanswered queries to human channels, consistent with Natural Language Processing workflows.
Attunix, now operating as Redapt, served as the systems integrator and built the chatbot using QnA Maker and additional Azure Cognitive Services, hosting the solution as a public facing conversational interface for residents in the United States. Operational scope targeted citizen services and customer support processes across the City of Corona, leveraging Azure hosted services for runtime and knowledge management.
Governance centered on a single editable knowledge base and content update workflows to maintain accuracy and reduce staff handling time, and the City of Corona reported improved response times and staff efficiency alongside lower contact center volume as outcomes documented in the case study.
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City of Corona | Government | 2000 | $337M | United States | Microsoft | Microsoft Azure Text | Natural Language Processing | 2017 |
In 2017, the City of Corona implemented Microsoft Azure Text in a municipal chatbot deployment to support citizen services, using Natural Language Processing to surface municipal information and respond to resident inquiries. The deployment centered on a QnA Maker chatbot built by Redapt formerly Attunix, designed for public sector citizen services and CRM use cases in the United States.
The implementation combined QnA Maker knowledge base configuration with Azure Text Analytics capabilities to interpret citizen queries, support intent classification, and extract topical entities from free text. Microsoft Azure Text was used to index municipal content and drive question and answer retrieval, enabling automated responses to common requests for information about city services, permits, and schedules.
Integrations focused on routing citizen queries into municipal workflows and complementing existing contact center operations, with the chatbot providing an upfront layer to reduce inbound call volume and speed access to municipal information. Redapt formerly Attunix led the build and deployment, including knowledge base population and training of Natural Language Processing components for city specific terminology and FAQs.
Operational governance included knowledge base curation processes and ongoing content updates to maintain response accuracy, aligning chatbot outputs with municipal information sources and citizen services teams. The deployment explicitly reduced call volumes and accelerated resident access to information, outcomes noted in the project case study.
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City of Corona | Government | 2000 | $337M | United States | Microsoft | Azure Text Analytics | Analytics and BI | 2018 |
In 2018 the City of Corona implemented Azure Text Analytics as part of a citizen-facing chatbot proof of concept within the Analytics and BI category. The initiative targeted public sector customer service, using Microsoft QnA Maker together with Azure Text Analytics to surface answers from the municipal website and to reduce routine call volume to contact centers.
The implementation centered on QnA Maker knowledge base creation and Azure Text Analytics driven natural language understanding, with configuration work focused on entity and key phrase extraction to improve retrieval accuracy. The solution applied standard content ingestion workflows from web pages into a structured QnA knowledge base, and tuned Text Analytics models to better classify citizen intents and match inquiries to canonical answers.
Operational integration connected the chatbot to the City of Corona website and to front line call deflection workflows, positioning the solution at the intersection of web content management and contact center intake. The project was delivered by Redapt, formerly Attunix, using Azure Cognitive Services technologies in a proof of concept scope for US public sector operations and citizen services.
Governance emphasized partner-led POC delivery and iterative tuning of question and answer mappings and NLU thresholds, enabling a controlled rollout path from prototype to broader use. Outcomes reported by the city included reduced manual call handling and improved response times, as captured during the proof of concept phase.
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Buyer Intent: Companies Evaluating Redapt, formerly Attunix Services
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