LLM Integration
Integrate leading language models into products while keeping prompts, tools, permissions, and business logic under control.
AI & Automation
Custom AI Assistant Development
We build AI assistants that use your knowledge, tools, and business logic — integrated into Telegram bots, web products, internal systems, or customer-facing workflows.
Capabilities
What we can help you build.
RAG & Knowledge Bases
Give assistants access to company documents, product information, support content, or internal knowledge.
Tool-Using Agents
Connect AI assistants to APIs, databases, CRMs, search, scheduling, and internal workflows.
Evaluation & Monitoring
Build feedback loops, quality checks, observability, usage analytics, and safe iteration into production AI systems.
Technology
Built for production.
We choose architecture and tools around the product, integration constraints, operational model, and expected scale — not around a fixed template.
LLM APIsRAGVector SearchPythonTool CallingEmbeddingsPostgreSQL
How we work
From problem to production.
Discovery
Clarify the business goal, users, constraints, integrations, and measurable outcome.
Architecture
Define scope, system boundaries, data flows, technical approach, and delivery plan.
Build & Validate
Develop incrementally, test integrations, measure behavior, and validate with real scenarios.
Launch & Improve
Deploy, monitor, support, and iterate using product and operational data.
Related services
Connected expertise.
Have a project?
Tell us what you need to build.
Share the current problem, product idea, integration, or technical constraint. We will help define the most practical path to production.