We build digital products that help business move faster
Websites, web services, automation, integrations and artificial intelligence — from the idea to a working solution you can launch, maintain and grow.
Business does not need one more tool. Business needs a system that works.
Companies usually arrive with a specific request: we need a website, we need to connect the CRM, we need a report, we want to try AI. Behind it there is almost always a deeper problem: processes are fragmented, data moves by hand, decisions come late, and the team spends its time on operations that could be simplified.
Aivex helps break that complexity into clear solutions. We design and build digital products that connect interfaces, data, automation and AI into a working system. Not for the sake of technology, but for speed, control and growth.
Where speed is usually lost
- Requests arrive through different channels but never come together in one funnel.
- Managers update statuses by hand and move data between systems manually.
- Reports are assembled from spreadsheets, chats and the CRM, so management sees the picture late.
- Clients wait for answers because the information sits in documents, message threads or internal systems.
- The company experiments with AI but cannot tell where it would actually pay off.
- There is a website, but it does not explain the product, does not bring qualified leads and does not support sales.
What Aivex does
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Websites and digital storefronts
We package complex products into a clear structure: meaning, trust, services, cases, calls to action and an SEO foundation.
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Web services and client portals
We build interfaces for requests, statuses, documents, roles, reports and client-facing processes.
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CRM and automation
We make the CRM reflect the real process: leads, tasks, statuses, notifications, reports and control.
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API integrations
We connect websites, CRM, ERP, payments, databases and external services into a predictable data exchange.
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AI solutions
We build AI assistants, RAG systems, AI agents and support scenarios that keep a human in the loop.
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Analytics and dashboards
We turn data into a clear management picture: funnels, SLAs, statuses, sales, operations and problem areas.
The Aivex Method
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Understand the task
We start not with technology but with a question: what needs to change in how the business works.
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Design the digital logic
We define the pages, interfaces, integrations, automations or AI scenarios that are genuinely needed.
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Build a working solution
We develop the product, the backend, forms, portals, dashboards, integrations or AI modules.
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Launch and verify
We test scenarios, forms, statuses, errors, UX, speed and stability.
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Keep developing
We add features, extend integrations, connect new data and strengthen AI scenarios.
Evidence of the approach
We do not use fake logos or unverified percentages. Aivex cases show typical situations: where the process was fragmented, what held the business back, and how a digital solution made the work manageable.
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CRM and request automation
Requests arrived from the website, messengers and partner channels while statuses were updated by hand. We rebuilt the funnel, connected the sources and added automatic tasks.
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An AI assistant for support
Support was digging for answers in manuals and PDFs. We built a RAG assistant: the operator sees a prompt and its source, while doubtful cases stay with a person.
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A web service for clients
Statuses, documents and action history were scattered across message threads. We designed a client portal that brings them into one place.
AI Lab
We look at what actually works in AI, automation, integrations and digital products — without hype or buzzwords.
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How to tell whether your business needs AI
AI should not begin with choosing a model. The right question is where your team does repetitive knowledge work every day that could be sped up without losing control.
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Why an AI project starts with the process, not the model
Most failed AI projects break not because the model was weak but because the process was never described.
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RAG in plain words
RAG lets AI answer from the company’s own documents and sources instead of generating text out of thin air.
Show us the process you want to improve
You do not need a finished technical specification. Just describe the task: what is done manually today, where data gets lost, which systems you already use, and what result you want.
Discuss your task