Functional Features

Features

speech transcription

The large model is deployed on the customer's intranet, and the entire recording and transcription process is completed locally. It supports speaker separation and role annotation, with accurate recognition and natural sentence breaks. Audio and text do not leave the enterprise in one step.

Intelligent Quality Inspection

Dual driven by rule engine and large model, conduct comprehensive quality inspection on customer service calls and business conversations, automatically identify service standards, script deviations, and compliance risks, and directly transmit the hit results back to the business system.

Meeting and Business Analysis

Automatically extract minutes, to-do lists, and key decisions from meeting recordings; The call data automatically completes intent recognition, speech insight, and multidimensional statistics, and the voice data is accumulated into recoverable business assets.

Customization of Industry Scenarios

The quality inspection rules and analysis logic can be deeply customized by combining industry knowledge bases, such as finance, government affairs, healthcare, customer service... The more you use them, the more you understand your business.

on-premises deployment

The model is deployed in the customer's own environment, with data not leaving the internal network. It is secure, compliant, and controllable, meeting the hard requirements of government and enterprise customers for data sovereignty.

Lightweight and low threshold

No need to build an algorithm team, it can directly connect to the existing system of the enterprise, support low hardware environment deployment, fast implementation, and controllable cost.

The core capability of large models

Core Capabilities

Comprehensive data processing

Based on the multimodal analysis capability of large models, it can handle various data types such as text, images, audio, and video, providing cross media information understanding and deep analysis services for enterprises.

Multimodal Parsing

Intelligent content generation

Automatically generate meeting minutes, quality inspection reports, business summaries, language suggestions, and other content, quickly converting raw voice and text into usable business output.

AIGC

Deep semantic understanding

Having strong natural language understanding capabilities, supporting multiple rounds of dialogue, intent recognition, and sentiment analysis, accurately grasping key information and implicit intentions in business language.

NLP

Knowledge driven decision-making

Combining enterprise knowledge base with industry data for intelligent Q&A and logical reasoning, assisting quality inspection judgment, risk identification, and business review, making decisions based on evidence.

Intelligent Q&A

Seamless integration of business scenarios

Provide standardized interfaces that can quickly integrate with existing business systems such as transcription, quality inspection, and analysis, reducing integration costs and shortening implementation cycles.

Seamless integration

Flexible privatization deployment

Support flexible deployment solutions from the end to the server, which can run on consumer grade graphics cards or even pure CPU environments, with data not leaving the enterprise intranet throughout the entire process.

on-premises deployment

Application System

System

Management Platform

An integrated operation and maintenance platform for device access, status monitoring, and remote management, covering the entire device lifecycle.

Enter the system

AI analysis system

Intelligent voice analysis and quality inspection platform, covering meeting transcription, content search, AI quality checks, and data insights.

Enter the system

Application Scenarios

  • Car 4S sales
  • Jewelry sales
  • Financial Insurance Sales
  • Consultation
  • Pension
  • education
  • Medical

Car 4S sales

In the field of automobile 4S store sales, big models can accurately identify potential customers and improve sales conversion rates through data analysis and customer behavior prediction. At the same time, the large model can provide personalized car buying suggestions, simulate car buying scenarios, assist salespeople in product introduction and comparison, and enhance customers' car buying experience. In addition, the large model can also conduct market trend analysis, provide strategic support for automobile manufacturers and dealers, optimize inventory and sales strategies.

Jewelry sales

In the field of jewelry sales, large models can provide personalized jewelry recommendations to customers through analysis of their purchase history and preferences. By utilizing the visual recognition capabilities of large models, jewelry styles, materials, and design elements can be identified and classified, helping jewelers accurately position the market, optimize product design, and improve customer satisfaction and purchase rates.

Financial Insurance Sales

In the field of finance and insurance, big models can analyze customer data, predict customer needs, and provide accurate insurance recommendations for salespeople. In addition, large models can assist in risk assessment and management, improve the customization and personalization level of insurance products, thereby enhancing customer loyalty and the market competitiveness of insurance companies.

Consultation

In the field of consulting, big models can quickly collect and analyze large amounts of data, providing clients with market research, strategic planning, and decision support. The question answering and reasoning abilities of large models enable consultants to provide professional advice to clients more efficiently, improving the quality and satisfaction of consulting services.

Pension

Large scale models can be used in the field of elderly care to monitor the health status of the elderly, provide life care recommendations, and alert for emergency situations. By analyzing the living habits and health status of elderly people, we provide precise services for elderly care institutions and improve their quality of life.

education

In the field of education, big models can provide personalized learning resources and tutoring plans based on students' learning situations, interests, and abilities. In addition, large models can assist teachers in intelligent grading, learning analysis, and teaching evaluation, improving teaching quality and achieving personalized education.

Medical

Large scale models can be applied in the medical field to assist in diagnosis, efficacy evaluation, and optimization of medical resources. By analyzing patient medical records and examination results, provide diagnostic recommendations and treatment plans for doctors. At the same time, large models can predict disease development trends, help medical institutions improve service quality, and reduce medical costs.

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