List of Phonexia Speech Platform Customers
Brno, 612 00,
Czech Republic
Since 2010, our global team of researchers has been studying Phonexia Speech 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 Phonexia Speech Platform for Speech Recognition AI 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 Phonexia Speech Platform for Speech Recognition AI include: Home Credit Czech Republic, a Czech Republic based Banking and Financial Services organisation with 614 employees and revenues of $300.0 million, Konecta Czech Republic, a Czech Republic based Professional Services organisation with 800 employees and revenues of $40.0 million, Innogy Energie Chechia, a Czech Republic based Utilities organisation with 13 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Phonexia Speech 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.
The Phonexia Speech Platform 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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Home Credit Czech Republic | Banking and Financial Services | 614 | $300M | Czech Republic | Phonexia | Phonexia Speech Platform | Speech Recognition AI | 2018 | n/a |
In 2018, Home Credit Czech Republic deployed the Phonexia Speech Platform in its Czech contact center to automate call categorization and voice analytics. The Phonexia Speech Platform was used as a Speech Recognition AI solution to transcribe customer-agent interactions and to generate voice-derived signals that feed operational workflows for routing and sales offer handling. The deployment was scoped to contact center operations and sales functions, embedding speech processing into agent workflows and quality assurance processes.
The implementation used speech transcription and real-time voice analytics modules for call topic detection and script adherence monitoring. Real-time voice analytics detected call topics and adherence deviations during live interactions, while speech transcription enabled automated post-call classification and reporting. The Phonexia Speech Platform produced structured call topic labels and script-adherence flags to support automated call categorization and supervisor review.
As reported in the case study, the project yielded a 100% increase in offer rate and reduced mis-routed calls to about 1 percent. Operational coverage remained at the Czech contact center, impacting customer service and sales functions and supplying speech-derived metadata into routing and quality assurance workflows.
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Innogy Energie Chechia | Utilities | 13 | $1M | Czech Republic | Phonexia | Phonexia Speech Platform | Speech Recognition AI | 2016 | n/a |
In 2016, Innogy Energie Chechia deployed Phonexia Speech Platform, a Speech Recognition AI solution, across its Czech contact centers in a one year implementation to production. The rollout targeted contact-center voice analytics and sales enablement, positioning the Phonexia Speech Platform as the core speech recognition and topic detection engine for agent interaction analysis.
The implementation configured Phonexia speech recognition technologies including speech-to-text and automated topic detection to deliver contact-center analytics and call-topic detection. Phonexia Speech Platform was instrumented to classify call content and surface topic-level metadata, supporting up-selling workflows and reducing manual review workload through automated transcription and topical tagging.
Operational coverage focused on Innogy Energie Chechia contact centers in the Czech Republic, impacting customer service, sales and quality assurance functions. The deployment integrated the voice analytics outputs into existing contact-center analytics and supervisor quality review processes, enabling supervisors and sales coaches to use transcript and topic signals for agent coaching and campaign targeting.
Governance and process changes centered on shifting supervisor workflows from manual listening to analytics-driven review, with supervisors spending about two thirds less time listening to calls according to the case study. The program emphasized automated call-topic detection for sales enablement, and the one-year production timeline structured phased configuration, testing and operational handover to contact-center management teams.
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Konecta Czech Republic | Professional Services | 800 | $40M | Czech Republic | Phonexia | Phonexia Speech Platform | Speech Recognition AI | 2019 | RETOFUCHS ITC Switzerland |
In 2019, Konecta Czech Republic implemented Phonexia Speech Platform in its Czech call centers. The deployment used Phonexia Speech Analytics capabilities as a Speech Recognition AI solution to automate quality control and perform keyword based monitoring across recorded interactions.
The implementation emphasized Phonexia Keyword Spotting acoustic keyword detection within the Phonexia Speech Platform, configuring automated speech analytics workflows to flag calls for review and to support faster processing and reporting. The Phonexia Speech Platform was integrated into Comdata's BISON tool to streamline ingestion, indexing, and reporting of flagged call segments, and the configuration focused on keyword spotting and automated quality assurance pipelines.
The project was executed with partner MyForce and listed SI/VAR RETOFUCHS ITC Switzerland, covering rollout to Czech call center QA teams and integrating flagged call routing into existing reporting workflows. The implementation reduced the need for manual reviewers and achieved about 60% savings in quality control costs by automating monitoring and keyword based alerting.
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