All services
What we build for specific briefs: AI agents, RAG, work interfaces, team training, and content pipelines. Pick a lane, then open the service page for scope, process, and case work
AI agents for business workflows
We build agentic systems that go beyond a polished demo: the agent understands the task, works with data and tools, hands hard cases to people, and leaves a clear trace in the system.
View → 02AI for departments: sales, HR, and support
We help departments remove repeated manual work where leads, candidates, tickets, documents, and CRM updates live across messengers, spreadsheets, and internal systems. The work starts with one concrete workflow, not a vague company-wide AI rollout.
View → 03MVP and product launches for founders
We help turn a product idea into a first version real users can touch: scope, engineering, launch, and feedback.
View → 04AI assistant for internal company documents
We build an internal ChatGPT-style assistant over company documents, knowledge bases, spreadsheets, CRM, and files. The assistant finds the relevant clause, shows the source, respects access rules, and helps staff get answers without digging through folders and chats.
View → 05Corporate AI training
We run practical AI training for leadership, operations, and teams who need to use models at work, not sit through another future-of-AI talk. The session uses company examples: emails, tickets, reports, policies, spreadsheets, CRM scenarios, and internal documents.
View → 06AI video and ad generation for campaigns
We build pipelines for teams that need many video and ad variants without turning the brand into a mess. The work covers scripts, creative generation, avatar, voice and video APIs, review workflow, tone rules, and handoff to production.
View → 07AI development for how business works in Kazakhstan
We design and ship AI agents, RAG systems, GPT integrations, and internal tools for companies in Kazakhstan. The work has to fit local reality: Kazakh, Russian, and English in the same workflow, mixed-language chats, shala Kazakh patterns, WhatsApp, Telegram, CRM, and human escalation when the answer matters.
View → 08GPT integration for business in Kazakhstan
We connect GPT and other LLMs to the places where work already happens: CRM, WhatsApp, Telegram, email, tickets, documents, and internal panels. Model choice comes after the workflow review. We look at the data, error risk, response speed, request cost, and who checks the output.
View → 09AI for HR and recruiting
AI in HR is useful for the boring first mile, not for replacing recruiters: collect a form, check must-have requirements, answer a candidate, find a policy, remind a recruiter about the next step. Final people decisions stay with people.
View → 10AI for sales teams
AI for sales should help a manager understand the lead, next step, and risk of losing the deal faster. It should not turn the team into an automated spam machine. We usually start with inbound leads, CRM statuses, conversation history, and the rules good managers already follow.
View → 11AI for customer support
AI for support works best when the first line is overloaded with repeated questions, but the business still cares about tone, promises, and sensitive cases. The system should answer from the knowledge base, collect details, and hand the dialog to an operator at the right moment.
View → 12AI for documents, contracts, and internal files
We build AI search and assistants for contracts, PDFs, instructions, spreadsheets, and internal files. The system can find a clause, compare versions, extract fields, prepare a draft, or answer from the knowledge base. Legally important conclusions and risky decisions stay with a person.
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Tell us what you're building
Start with a few detailsWe reply within one business day. Then Azamat joins every first call personally, so you get an honest scope, budget, and fit from the person responsible for delivery.