List of RedHelper Customers
Redhelper
Rabochaya Ulitsa, д.93, стр.2,
Moscow, 109544,
Russia
Moscow, 109544,
Russia
7 495 221-77-57
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying RedHelper 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 RedHelper for Chatbots and Conversational 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 RedHelper for Chatbots and Conversational AI include: Kapitalbank Uzbekistan, a Uzbekistan based Banking and Financial Services organisation with 3500 employees and revenues of $1.01 billion, 1xBet, a Cyprus based Leisure and Hospitality organisation with 5000 employees and revenues of $655.0 million, Bimk-Kardio-Volga, a Russia based Distribution organisation with 47 employees and revenues of $55.0 million, Kentron Real Estate, a Armenia based Construction and Real Estate organisation with 170 employees and revenues of $43.0 million, Transtech, a Russia based Professional Services organisation with 150 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using RedHelper, 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 RedHelper 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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1xBet | Leisure and Hospitality | 5000 | $655M | Cyprus | RedHelper | RedHelper | Chatbots and Conversational AI | 2015 | n/a |
In 2015, 1xBet implemented RedHelper on its website. The deployment uses RedHelper, classified under Chatbots and Conversational AI, to provide web-based conversational engagement for the leisure and hospitality operator 1xBet.
The implementation centers on embedding the RedHelper chat widget into public site pages to capture inbound inquiries and initiate conversational flows. Functional capabilities observed include real-time chat routing to online agents, templated conversational scripts for common queries, and session persistence across page navigation to maintain continuity of customer interactions.
Operational coverage is focused on the web channel and front-line customer service functions, supporting player account questions and general customer support traffic. Governance elements emphasize centralized conversation templates, administrative controls for agent availability and escalation, and content localization to support multilingual message sets while retaining web-first deployment architecture.
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AlpIndustria | Retail | 28 | $3M | Russia | RedHelper | RedHelper | Chatbots and Conversational AI | 2014 | n/a |
In 2014, AlpIndustria implemented RedHelper on its public website. AlpIndustria deployed RedHelper, a Chatbots and Conversational AI application, to support online customer service and ecommerce engagement for the retail business.
The implementation centers on an embedded RedHelper chat widget and an operator console, enabling real time chat sessions, visitor monitoring, session transcripts, canned responses, and offline message capture. Configuration included chat script templates, proactive chat invitations, and agent routing to align with a small support team model.
Operational scope is focused on the website channel, impacting customer service and online sales assistance workflows for AlpIndustria staff. Governance and workflow changes emphasized operator shift coordination, standard response templates, and transcript retention to support session handoffs and follow up.
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Apteka N 85 | Retail | 10 | $1M | Russia | RedHelper | RedHelper | Chatbots and Conversational AI | 2020 | n/a |
In 2020, Apteka N 85 implemented RedHelper on its website. RedHelper, a Chatbots and Conversational AI application, is embedded as a client-side web chat widget on https://www.apteka85.ru and functions as the primary digital customer interface for the pharmacy's online traffic. The deployment is sized to fit a 10-employee retail pharmacy and emphasizes lightweight, web-first architecture rather than enterprise orchestration.
Configuration focuses on live chat handling, scripted automated response flows, session logging, and basic lead capture workflows, reflecting standard Chatbots and Conversational AI capabilities used to manage customer service and online order inquiries. Operational ownership is held by store-level customer support and service staff, with governance concentrating on response script maintenance, availability scheduling, and transcript review to support ongoing conversational quality. RedHelper is the named application delivering these conversational capabilities on the site.
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Armada | Retail | 120 | $4M | Russia | RedHelper | RedHelper | Chatbots and Conversational AI | 2018 | n/a |
Armada implemented RedHelper in 2018 to add on-site conversational support on its corporate website https://www.armadatpk.ru/. The RedHelper deployment serves as Armada's Chatbots and Conversational AI presence for customer service and online sales support, handling visitor engagement on the public web storefront.
The implementation centers on an embedded web chat widget and server-side conversational routing, with configuration for scripted automated responses, live agent handoffs, proactive visitor invitations, and offline messaging. RedHelper configuration emphasizes session continuity and canned response libraries to standardize agent interactions and accelerate first response times.
Operationally the RedHelper instance is scoped to Armada's customer-facing digital channel and is used by customer support and sales staff to capture leads, answer product and order questions, and escalate complex inquiries to internal teams. No external system integrations are specified in source documentation, so the implementation operates primarily as a web-hosted chat layer embedded on Armada's site.
Governance is implemented through centralized administration of agent queues, working hours, and conversation routing, managed by Armada's internal support team. Ongoing configuration and content updates are conducted through the RedHelper administration console to refine scripts and availability policies as customer interaction patterns evolve.
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AzEduNet | Education | 122 | $3M | Azerbaijan | RedHelper | RedHelper | Chatbots and Conversational AI | 2012 | n/a |
In 2012, AzEduNet deployed RedHelper on its website. RedHelper is used as a Chatbots and Conversational AI application embedded in the public web portal to provide client-facing conversational support and session-based messaging. The RedHelper implementation is delivered as a web widget with a browser-accessible administration console for configuring chat scripts, automated greetings, and live agent handoff behavior.
Functional capabilities implemented include real-time visitor chat, automated FAQ response flows, and lead capture workflows that route inquiries to institutional staff. Operational scope centers on website-based student and visitor engagement, with business functions impacted including student support and admissions inquiry handling. Governance and day-to-day operation are managed through in-house administration of chat content and session routing policies, with IT and front-line staff operating the RedHelper console for configuration and session monitoring.
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Distribution | 10 | $1M | United States | RedHelper | RedHelper | Chatbots and Conversational AI | 2014 | n/a |
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Distribution | 47 | $55M | Russia | RedHelper | RedHelper | Chatbots and Conversational AI | 2018 | n/a |
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Distribution | 10 | $1M | Russia | RedHelper | RedHelper | Chatbots and Conversational AI | 2015 | n/a |
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Life Sciences | 51 | $3M | Russia | RedHelper | RedHelper | Chatbots and Conversational AI | 2012 | n/a |
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Manufacturing | 10 | $1M | Russia | RedHelper | RedHelper | Chatbots and Conversational AI | 2018 | n/a |
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Showing 1 to 10 of 47 entries
Buyer Intent: Companies Evaluating RedHelper
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD RedHelper Coverage
RedHelper is a Chatbots and Conversational AI solution from RedHelper.
Companies worldwide use RedHelper, from small firms to large enterprises across 21+ industries.
Organizations such as Kapitalbank Uzbekistan, 1xBet, Bimk-Kardio-Volga, Kentron Real Estate and Transtech are recorded users of
RedHelper for Chatbots and Conversational AI.
Companies using RedHelper are most concentrated in Banking and Financial Services, Leisure and Hospitality and Distribution, with adoption spanning over 21 industries.
Companies using RedHelper are most concentrated in Uzbekistan, Cyprus and Russia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of RedHelper across Americas, EMEA, and APAC.
Companies using RedHelper range from small businesses with 0-100 employees - 74.47%, to mid-sized firms with 101-1,000 employees - 21.28%, large organizations with 1,001-10,000 employees - 4.26%, and global enterprises with 10,000+ employees - 0%.
Customers of RedHelper include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified RedHelper customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Chatbots and Conversational AI.