Artificial Intelligence
for Your Business

LLM (Large Language Model) is an AI model trained on massive amounts of text, capable of understanding and generating natural language like a human. Popular models today include Llama, Qwen, Mistral, DeepSeek, Gemma, GPT-OSS and Phi. agentic AI deploys these LLMs on the enterprise's own infrastructure, ensuring data never leaves the organization.

Machine Learning (ML) is a branch of AI focused on building models that can learn from data without being explicitly programmed for each situation. Simply put: AI is the broad concept of intelligent machines, while ML is the method used to achieve it through data and statistical algorithms.

Deep Learning (DL) is a subfield of Machine Learning that uses multi-layered artificial neural networks to model complex data such as images, audio, and text. DL excels at problems with large amounts of data, while traditional ML suits moderate-sized data and requires fewer computing resources.

Generative AI (GenAI) is the branch of AI capable of creating new content — text, images, music, source code — based on training data. Models such as GPT and Llama belong to this group. GenAI learns the probability distribution of input data, then generates new samples with similar characteristics. In business, GenAI is used to write reports, generate code, create marketing content, and support decision-making.

Not necessarily. Depending on your needs, we design on-premise AI solutions that fit your existing infrastructure — from dedicated GPU servers to CPU-optimized solutions for text tasks, or hybrid cloud setups. Compact models such as Qwen-7B or Mistral-7B run reliably on mid-range hardware. We always advise on the most cost-effective solution before deployment.

Absolutely. agentic AI designs every solution with security-by-default principles. With on-premise AI, data never leaves your infrastructure. All systems use encryption at rest and in transit, fine-grained access control, and full audit logs. We have no access to customer data unless explicitly authorized for technical support purposes.

Our collaboration process consists of 4 steps:

1. Consultation — we listen to your needs and analyze your problem.
2. Solution proposal — architecture, technology, cost, and deployment roadmap.
3. Deployment — we build and configure the system, with testing before handover.
4. Handover & support — full documentation, operations training, and long-term technical support.

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