AI ENGINEERING // RAG // AGENTS
AI system and AI agent development
We turn LLM experiments into manageable products with measurable outcomes and controls for quality, cost, and data access.
Get project planAI agents, RAG, and knowledge bases
We design document search, cited answers, memory, tools, and action workflows for employees or customers.
AI integration for business
We connect AI to CRM, help desk, ERP, messengers, corporate data, APIs, and existing web or mobile products.
Quality, security, and cost control
We configure roles and permissions, evaluation datasets, response quality checks, logging, guardrails, model selection, and cost controls.
AI MVP and production launch
We first validate value in a focused workflow, then strengthen the architecture, add monitoring, and hand over a production system to the client team.
When AI is the right solution
AI makes sense for unstructured documents, conversation, classification, or high volumes of manual work. We use deterministic business logic for operations where it is more reliable and economical.
How outcomes are measured
Before the pilot, we define metrics such as answer accuracy, automation rate, handling time, cost per operation, or conversion. The solution grows only after validation on real data.
AI system handover
We document data sources, prompts, models, limits, failure scenarios, and monitoring. The client receives the code, infrastructure, access, and the ability to change models without rebuilding the product.