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Services

AI chatbots / assistants

We develop AI chatbots and digital assistants that can be connected to CRM, ERP and internal company systems. They help in processing customer requests, automate typical interaction scenarios and work with corporate information 24/7. Thus, the load on the support service is reduced, response time is shortened and the conversion of requests increases.

                             AI Chat bot
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AI agents

We create autonomous AI agents that can perform complex multi-step tasks within the framework of specified business rules. Artificial intelligence studies data and interacts with other systems via API. Part of the operational processes can be delegated to the virtual agent, which reduces the cost of manual processing.

                             AI Agent
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AI Vision Recognition

We design AI computer vision systems for real-time object, document, defect and event recognition. Solutions are integrated with production, logistics or security systems. As a result, control accuracy is increased, the human factor is minimized and decision-making is accelerated.

                             AI Face Recognition
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AI Content Generation

We develop AI solutions for creating text content according to specified parameters, style and business logic. Such systems can generate descriptions, customer responses, internal documentation, marketing materials. The help of digital tools has a positive effect on increasing content production without the need to attract new specialists, and also provides a unified style of communication.

                             AI Content generator
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Voice and omnichannel AI assistants

We are implementing voice and omnichannel AI assistants to automate inbound and outbound calls. They are capable of speech recognition, work according to scripts, and integrate with the company's internal databases. Businesses are guaranteed uninterrupted processing of requests and reduced call center costs.

                             voice assistant icon
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Cortexintellect's approach to AI development

For us, artificial intelligence development is an engineering process with clear stages and a controlled result. Each project goes through a full cycle - from problem analysis to production support.

Problem analysis and data audit

At the start, our team studies the company's business processes, usage scenarios and data sources. Then we assess the quality, availability and risks of working with information. As a result, we get a well-founded strategy for using AI.

Architecture design

We build the solution architecture taking into account loads, security and integrations. We determine the interaction model of components, methods of storing and processing information. At this stage, the scalability and stability of the future system are laid.

Development and testing

We implement models, services and business logic taking into account production requirements. We test the system under load, in real usage scenarios and from a security point of view. This allows us to minimize risks even before implementation.

Integration into the IT circuit

We embed AI solutions into the company's existing infrastructure via APIs, data buses and internal services. We ensure compatibility with CRM, ERP, internal platforms and access policies. Thus, AI becomes part of the company's workflows.

Monitoring and development

After launch, we monitor the quality of models, service stability and key metrics. We gradually improve the solution based on new data and changes in the business. The foundation is laid for long-term work and the ability to grow without losing control.

Our AI solutions are used in areas where the speed and quality of data processing are important, as well as the prospect of growth. We work with both digital products and operationally complex environments, involving AI in the company's core functionality.

E-commerce

We design AI solutions for online stores and marketplaces. Tasks include customer support automation, recommendation systems and user behavior analysis to increase sales and reduce response time. Companies get higher conversion and less losses due to errors in order processing.

Manufacturing

In this area, a digital assistant helps control product quality, analyze defects and predict resource needs. AI monitors equipment, detects process deviations and optimizes production planning. This reduces downtime, improves product quality and reduces material consumption.

Logistics

We develop systems for supply chain management and routing. Our solutions automatically process orders, plan optimal routes, predict delays and help distribute tasks between employees. Companies gain more precise control over deliveries, reduce delivery times and reduce operating costs.

Finance

A virtual platform is used to process financial documents, analyze transactions and assess risks. The AI ​​system detects anomalies, automates reporting and accelerates data-based decision-making. The reliability of reporting increases, the probability of errors decreases, and it becomes easier for management to make decisions in critical situations.

SaaS products

We develop AI functions for cloud services: content generation, customer support automation, consumer behavior analytics. This allows you to improve UX and optimize internal processes of the platform.

Corporate services

AI solutions facilitate document processing, coordinate tasks and increase the efficiency of communications within the company. Working with artificial intelligence systems increases employee productivity, minimizes manual work and speeds up the execution of operational processes.

CortexIntellect develops AI solutions that cover system architecture, data work and deep integrations into corporate infrastructure, forming a single system platform to support and control daily operations. To do this, we use:

  • Engineering approach → Each project is implemented with precise planning, testing and result control so that the solutions work stably and predictably.
  • Architectural thinking → Technological blocks interact within a holistic digital ecosystem, where components interact in a consistent and optimal way.
  • Interaction with technical infrastructure → We consider the backend and user interfaces, data processing and internal systems so that AI becomes part of existing processes, and not an isolated tool.
  • Integrations into existing systems → Our solutions connect to CRM, ERP and internal platforms without disrupting business operations and taking into account corporate access policies.
  • ROI orientation → AI development is carried out with an economic goal: our systems reduce task execution time, ensure data correctness, create a noticeable business effect.
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