AI solution development in Kazakhstan
We build AI systems for websites and business processes, from visitor guidance to actions in approved services. We begin with the task, data sources and the agent's responsibility boundaries.
AI agents
An agent receives a goal, uses approved tools and performs a sequence of actions under human control. It can process enquiries, prepare materials and handle repeatable operations with clear rules.
AI assistants
An assistant answers employees or customers using an approved knowledge base. It can show the source, acknowledge missing information and hand a complex question to a person.
AI integration
We connect a model to a website, CRM, documents and other services through available APIs. We define which data may be read or changed and test every critical scenario.
AI CRM systems
We design workflows for enquiries, contact history and the team's next actions. AI can classify a request, draft a response and suggest an action while accountable decisions remain with an employee.
AI chatbots for websites
A chatbot explains services and approved prices, helps formulate a task and guides the visitor to contact. Its interface follows the website design without third-party branding.
Architecture and data security
Keys and system instructions remain on the server. We limit available sources, context length, request rate and total budget, validate input, protect internal data and fail closed when controls are unavailable.
Implementation deliverables
Scenario analysis, a dialogue or process prototype, knowledge base preparation, server-side model integration, access controls, testing and launch. Further development follows real user questions and confirmed business needs.
Technology stack and approach
We use HTML, CSS and JavaScript for the web interface, Node.js and serverless functions for the server intermediary, and HTTPS with JSON APIs for exchange. The current DEEP consultant uses a DeepSeek model through DeepInfra, while the public interface is hosted on Netlify.
Can we start with one limited scenario?
Yes. For an MVP we choose one measurable task, a small approved knowledge base and strict limits. After quality checks we can add sources, tools and new actions.
We assess whether a specific system can be connected after a technical review.
Let's discuss your project
Briefly describe what you would like to build or improve.
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