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Our services
AI Product Development
Production-ready AI systems
weeks to MVP
AI Consulting & Strategy
We help identify where and how AI will bring maximum value to your business
audit
Automation
RPA, OCR, NLP solutions
MLOps & Support
Deployment, monitoring, CI/CD for ML models
AI Agents
For your operational processes
On-premise
Deployment in your infrastructure
Fine-tuning
Model customization
Enterprise LLM
Your own language model — private deployment, RAG and fine-tuning for your company data
Latest articles
What is deep learning and where it pays off
Deep learning is a way of training multi-layered neural networks on examples: the model finds the patterns in the data itself, and no one has to spell out the rules in words.
OpenAI Opens Up Agents API: Agent Orchestration Out of the Box
Task, model, tools, and environment are set in a single call. Part of the budget for hand-built agent plumbing can be recalculated.
DeepSeek V4.1 Flash: Agent Workloads Get Repriced
DeepSeek has released V4.1 Flash — a 552B-parameter MoE that activates 8–16B per response. Budgets for agent and coding tasks are being recalculated.
Excessive Agency Explained in Plain Terms
Excessive agency means an AI agent holds more access rights than its job requires: it can take more actions than the task needs, and that gap is closed before launch.
What is agent memory and what it saves
Agent memory is external storage for facts and commitments that sits next to the model: the agent puts important things there and retrieves them on the next request.
What Is MCP and Why It Matters for Business
MCP is an open protocol for connecting a model to a company's working systems: one shared socket instead of a separate integration for every pair.
Run the numbers before you build
An estimate of monthly spend on AI automation for a single process and the payback period — from five figures already known about the company.
Calculating the monthly charge for model calls based on dialogue volume, conversation length, and model class — with the price of a single dialogue and the share of context in the bill.
A monthly token bill calculated across three architectures — full text in the prompt, retrieval over a knowledge base, and fine-tuning — based on knowledge base size and request volume.
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Concierge-level Support
Every customer deserves personal attention. We created an AI assistant that knows interaction history, anticipates questions, and resolves issues before they become complaints. Instant response. Impeccable service.
Result:
80% tickets → AI