Integration
AI in business

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AI integration in business

AI integration into business

AI integration is the implementation of artificial intelligence—based solutions that optimize workflows, reduce transaction costs, and increase business manageability. We develop and connect intelligent modules that are seamlessly integrated into the current IT environment of the company and begin to bring results in the shortest possible time. Among the areas are AI—based chatbots, intelligent image processing, workflow automation, antifraud analytics, generative models (GPT-like), machine learning algorithms and neural network solutions. All modules are selected individually, taking into account the tasks and specifics of the business, and are trained on your data for maximum accuracy. The integration of artificial intelligence into business processes is carried out on a turnkey basis: from analysis of current processes and architecture development to full implementation, testing and support. The solutions scale easily and do not require changes from the customer. This approach ensures stable operation and predictable implementation effects. The integration of AI into a business is an application tool that takes over routine, speeds up decision—making, and eliminates the human factor in typical operations. We do not offer technology for the sake of technology, but a ready-made functional product integrated into your management system. It is possible to order the integration of artificial intelligence both as part of a separate process and in the format of an integrated project. We will propose a solution for the tasks, prepare the architecture and implement a ready-made tool that will work for your result.

CEO

Nikolay Kasatkin

Platforms and technologies

Javascript
Typescript
Python
React
Nest.js
Java
Mongodb
Mariadb
Next.js
Vue

Team

Project-manager

Responsible for organizing the team's work. Manages project changes, checks the fulfillment of requirements, and ensures their alignment with project goals at each stage. Analyzes deviations and errors, implements corrective measures. Communicates with the client on technical and project matters.

Tech lead

Senior specialist, resolves business-level technical issues, determines the technology stack, participates in architecture development, and conducts code reviews for key tasks.

Team lead

Responsible for the team of developers and technical management. Defines the development strategy, assigns tasks to team members, checks their completion and deadlines, and conducts code reviews.

QA-lead

Leads a team of QA specialists, develops testing plans, assigns and oversees testing tasks. Defines project quality metrics and criteria, selects testing approaches and tools. Sets testing deadlines, conducts risk analysis, and is responsible for the overall quality of the product.