AI Development Services
- Automate routine work with AI agents and chatbots and free your team for what matters
- Get AI that knows your business, connected to your ERP, CRM, store, and knowledge base
- Keep your data secure and key decisions in your hands with AI your team tests, monitors, and approves
Our AI development services
As a full-cycle partner, Asabix delivers custom AI development services, from the first idea to a solution your team uses every day.
Generative AI development
Give your team and customers AI that writes, summarizes, and explains in seconds. Our generative AI development services build LLM-powered features such as drafting assistants, report summaries, and copilots inside your own software and customer portals.
AI agent development
Let software handle multi-step tasks end to end. Our AI agent development services cover agents that plan, call your tools, and finish workflows. Agentic AI solutions we build scale up to multi-agent systems across departments.
AI chatbot development
Answer customers and employees instantly, at any hour. Our AI chatbot development services deliver assistants for your website, messengers, and internal portals that understand plain language with NLP and pass complex cases to a person.
AI integration services
Add AI features to the software you already run. We embed models in your apps, portals, and back-office tools through API integration and MCP. Our generative AI integration services fit into the screens your team knows.
AI consulting and discovery
Make confident AI decisions before you spend. Our AI consulting services cover AI strategy, use cases ranked by ROI, vendor and tool selection, data audits, and usage policies, whether or not we build the solution.
Custom AI models and apps
Get AI built for problems no ready-made tool solves. We handle custom AI model development with machine learning, fine-tuning, computer vision, and predictive analytics. Our AI app development services bring them to web and mobile.
Generative AI and RAG development
Get AI that writes and answers from your own data. Our generative AI development services include RAG: we load your data onto a private, isolated server and connect or fine-tune models on it, keeping everything confidential.
Brands we work with
Chatbot or AI agent: which one you need
| AI chatbot | AI agent | |
|---|---|---|
|
Best fit
|
Businesses that get the same customer or staff questions every day |
Businesses with multi-step tasks that span several systems |
|
What it does
|
Answers questions in natural language using your knowledge base |
Plans steps, uses your tools, and completes tasks on its own |
|
Main advantage
|
Fast launch and instant answers at any hour |
Takes complete tasks off your team’s plate |
|
Integrations
|
Reads from your knowledge base, help desk, and product data |
Reads and updates data in your ERP, CRM, store, and other systems |
|
Human involvement
|
Hands complex cases to a person with the full conversation |
Waits for human approval before critical actions like refunds |
|
Scalability
|
Handles growing question volume without a bigger support team |
Expands to new workflows and can grow into a multi-agent system |
|
Challenges
|
Can’t take actions beyond the conversation itself |
Needs more setup, testing, and clear rules for every action |
|
Example task
|
Answering order status and return policy questions |
Checking stock, updating an order, and emailing the customer |
In a free call, we’ll find the tasks AI can take over first and estimate their return.
AI solutions we build for your industry
We adapt every solution to the processes, data, and regulations of your field.
AI for e-commerce
AI for supply chain
AI for manufacturing
AI document processing
AI agents for data analysis
AI for healthcare
Enterprise AI solutions that work with your systems and data
Our enterprise AI development services cover everything AI needs to stay reliable at scale, from the first data connection to daily monitoring.
- data pipelines and real-time sync with your ERP, CRM, WMS, and databases
- role-based permissions that show each user only the data their role allows
- model selection across large language models and open-source options, with no vendor lock-in
- RAG and a vector database that ground answers in your documents and records
- source links in responses that help your team check facts and reduce hallucinations
- evals on real scenarios before launch and after every model or prompt update
- human-in-the-loop approval for refunds, payments, and changes to customer records
- LLMOps dashboards that track usage, response quality, latency, and spend per feature
For AI solutions for enterprise with thousands of daily users, we also add caching, model routing, and cost alerts that keep token spend predictable.
Our AI software development process
Why choose Asabix as your AI development company
One team from idea to support
Proven results you can verify
The U.S. market experience
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They trust us
They demonstrated an impressive level of expertise in web development. They flawlessly executed complex functionalities and integrated custom features to meet our specific needs. The website they created functions seamlessly and aligns with our brand identity.
As a satisfied customer, I highly recommend Asabix to any organization seeking top-notch software solutions. With Asabix, you can rest assured that your expectations will be surpassed.
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We run cross-border logistics, fulfillment, tracking, integrations, and a lot of moving parts. The system had to support real operational complexity.
Communication has been consistent, deadlines are generally respected, and when issues come up (because in tech they always do), they stay involved until things are resolved.
The SkladUSA system continues to evolve, and Asabix has been a reliable partner in that growth.
Frequently Asked Questions
What do AI development services include?
Everything it takes to get AI working in your business: consulting and use case selection, data preparation, model selection, development of chatbots, agents, or generative AI features, integration with your systems, testing, and ongoing support after launch.
How much does custom AI development cost?
It depends on the scope. Integrating an existing model into one workflow costs far less than building a custom model or a multi-agent system. We start with discovery and a proof of concept, so you see results and a clear estimate before committing to a full budget.
How long does it take to launch an AI solution?
A proof of concept usually takes a few weeks. An MVP for real users typically follows within two to three months, and full production rollout depends on how many systems and teams are involved.
Will it work with our existing systems?
Yes. Most of our projects plug into tools companies already run, from accounting and inventory systems to online stores and help desks. When a system has no ready API, we build a custom connector.
What's the difference between an AI chatbot and an AI agent?
A chatbot answers questions in a conversation. An AI agent goes further: it plans steps, uses your tools, and completes tasks, like updating an order or preparing a report. Many projects start with a chatbot and add AI agents for business automation later.
Is our data safe when we use AI?
Yes. We use enterprise model plans that don't train on your data, keep sensitive information under access controls, and can deploy models in your own cloud when needed. We sign an NDA before we see any of your data.
Do you build with AI tools yourselves?
Absolutely. Our engineers use AI in coding, testing, and documentation every day, with a senior engineer reviewing every change. It helps us deliver your AI solution faster while keeping quality high.
Do we need a lot of data to start?
Usually not. Most generative AI and agent projects work with the documents, records, and knowledge you already have. Large training datasets matter mainly for custom machine learning models, and we'll tell you early if your data needs preparation.
Which AI models do you work with?
We work with leading commercial models from providers like OpenAI, Anthropic, and Google, as well as open-source models such as Llama and Mistral. We choose the model for each task based on quality, speed, cost, and your data privacy requirements.
