MWS AI
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About
MWS AI, developed by the MTS AI team, provides a robust ecosystem of artificial intelligence products and services specifically engineered to facilitate comprehensive digital transformation for large-scale enterprises. The platform serves as a centralized hub for businesses looking to leverage technologies in Generative AI, Computer Vision, and Natural Language Processing. At its core, the suite features the MWS AI Agents Platform, a unified environment that allows organizations to create, manage, and scale corporate AI agents and multi-agent systems. This infrastructure enables businesses to move beyond simple automation and into a sophisticated AI-driven operations model where intelligent agents handle complex, cross-departmental workflows. The product portfolio is divided into specialized tools that address specific business challenges. For document management and information analysis, the platform offers Cotype, a proprietary large language model that accelerates text generation and data retrieval. Software development teams can utilize Kodify, an AI-powered service for code generation and autocompletion that optimizes the programming lifecycle. In the realm of communication, MWS AI provides WordPulse for advanced speech analytics and Audiogram for high-quality speech synthesis and recognition. These tools allow companies to transform raw audio into actionable data or deploy natural-sounding voice assistants. Furthermore, the suite includes security applications like a Deepfake Detector and Announce, an automated notification system tailored for sectors such as transportation and retail. MWS AI is best suited for enterprises and service providers that handle high volumes of data and customer interactions. For instance, customer service departments can integrate the platform's chat-bots and speech analytics to automate up to 77% of routine inquiries. IT departments benefit from the specialized LLM and coding assistants, while security teams can use computer vision modules for fraud prevention. The flexibility of the platform allows it to be adapted to various use cases, from optimizing patient services in medical facilities to managing passenger notifications for transit companies. What distinguishes MWS AI from other vendors is its integrated approach to "AI Transformation." The company offers a comprehensive consulting service that includes auditing current business processes, developing a customized AI strategy, and overseeing the integration. This ensures that AI solutions are aligned with specific business goals and are ethically compliant. By combining proprietary models with expert support, MWS AI provides a secure foundation for companies to modernize their operations and maintain a competitive edge in an automated marketplace.
Pros & Cons
Comprehensive suite covering GenAI, NLP, CV, and ML for diverse business needs.
Dedicated platform for orchestrating multi-agent systems in a unified environment.
Strong corporate security focus with built-in deepfake detection capabilities.
Provides end-to-end consulting, from process analysis to custom AI strategy development.
Proven efficiency in customer service, successfully automating 77% of client queries.
Pricing details are not disclosed publicly, requiring a formal inquiry process.
Primary focus and documentation are tailored to the Russian-speaking market.
High-level capabilities often necessitate custom integration rather than simple plug-and-play.
Use Cases
Customer support managers can use WordPulse to analyze call recordings, automatically identifying common customer issues and improving agent performance.
Software developers can implement Kodify to gain real-time code suggestions and autocompletion, significantly reducing manual effort.
Security teams at social networks can deploy the Deepfake Detector to automatically scan and flag manipulated photos or videos that violate safety standards.
Transportation companies can utilize the Announce system to provide automated, high-quality audio notifications to passengers across various transit hubs.
Enterprise IT departments can use the AI Agents Platform to build specialized bots that search internal documentation and draft reports.
Platform
Task
Features
• ai transformation consulting
• announce notification system
• deepfake detector
• audiogram speech recognition
• wordpulse speech analytics
• kodify code generation
• cotype business llm
• ai agents platform
FAQs
What is the primary function of the MWS AI Agents Platform?
It provides a unified environment designed to create, manage, and scale corporate AI agents. This allows businesses to build complex multi-agent systems that automate internal workflows and external communications.
Can MWS AI help with software development tasks?
Yes, the Kodify service is specifically designed for developers, offering AI-powered code generation and autocompletion. It integrates into the development process to help optimize coding efficiency and reduce errors.
Does the platform include tools for monitoring audio interactions?
The WordPulse service provides comprehensive speech analytics by using ML models to analyze customer calls. It works alongside Audiogram, which handles the underlying speech recognition and synthesis tasks.
What security features does MWS AI offer for media content?
MWS AI includes a Deepfake Detector specifically for media companies and social networks. This tool identifies manipulated videos and images, helping platforms maintain content integrity and follow security regulations.
How can a business determine if these AI tools are a good fit?
Businesses can request a free consultation through the MWS AI website. Their experts will analyze your current business processes and provide a strategy for implementing the most effective AI solutions.
Pricing Plans
Corporate Solutions
Unknown Price• MWS AI Agents Platform access
• Cotype Large Language Model
• Kodify AI code assistant
• WordPulse speech analytics
• Audiogram synthesis & recognition
• Deepfake detection tools
• Custom AI transformation consulting
• Integration & optimization support
Job Opportunities
HR Operations Lead
Streamline enterprise operations with a comprehensive suite of generative AI, speech analytics, and computer vision tools designed for scalable automation.
Benefits:
Medical insurance (100% coverage)
Mobile communication compensation
IT conferences and training
MTS Premium subscription
Partner discounts (fitness, English)
Experience Requirements:
3–6 years of total experience
4+ years in HR Operations / HR Analytics / C&B
Experience in IT companies
Other Requirements:
Strong analytical skills and Excel proficiency
Knowledge of labor law and HR administration
Experience with analytical dashboard systems
Responsibilities:
Design HR analytics and reporting system
Create dashboards (Power BI / Tableau / Data Studio)
Develop C&B system (grades, salary brackets, LTI)
Synchronize HR processes with the holding
Communicate HR metrics to the business
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NLP engineer
Streamline enterprise operations with a comprehensive suite of generative AI, speech analytics, and computer vision tools designed for scalable automation.
Benefits:
Quarterly and annual bonuses
DMS with dentistry
External IT conferences and training
Free mobile communication
Partner discounts
Education Requirements:
Degree in Technical, Science, or Economics
Experience Requirements:
3–6 years of experience
Experience with LLMs (benchmarks, prompt engineering)
Experience in productizing LLM solutions
Experience with RAG pipelines
Python and PyTorch proficiency
Other Requirements:
Interest in RnD and modern science
Computer science background
Realized pet-projects in NLP
Responsibilities:
Develop LLM-based product components
Research modern NLP approaches
Create agent systems using LLMs
Build complex data processing pipelines
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Product Manager
Streamline enterprise operations with a comprehensive suite of generative AI, speech analytics, and computer vision tools designed for scalable automation.
Benefits:
Mobile communication compensation
IT conferences and training
MTS Premium subscription
Partner discounts (fitness, English)
Corporate university and libraries
Experience Requirements:
3–6 years of experience
Product development experience (B2B, AI preferred)
Understanding of analytical reporting processes
Experience with BI systems and databases
Other Requirements:
Ability to work in uncertainty
Pre-sales skills
Knowledge of LLM application principles
Responsibilities:
Develop Analytics Copilot product
Validate product hypotheses
Maintain product roadmap
Manage cross-functional team
Identify B2B client needs
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Ratings & Reviews
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