AI INTERCEPT ARCHITECTURE
We create AI systems where the AI sits directly between the software and the context. The user can read anything. However, the agent reads and writes to the software natively—and it only executes based on the strict methodologies your professionals define.
The user can read anything. The environment is messy, unstructured, and defined by the specific methodologies chosen by the professionals who work with us.
Reads & Writes
The underlying software and data structures. The agent interacts with the software natively, executing tasks consistently based purely on the defined methodologies.
Most AI integrations fail because they give the model too much freedom. An open-ended chat interface doesn't automate workflows—it just moves the cognitive load.
Instead, we build a methodology graph. Unstructured context goes in, but the agent's evaluation and execution paths are strictly governed by the exact logic, boundaries, and best practices your top professionals use every day.
The agent isn't a wrapper or a copilot sitting in a sidebar. It is a native execution layer integrated directly into your existing software APIs.
No screen-scraping, no hallucinated commands. The agent reads raw system state, validates it against the methodology, and writes deterministic, structured API calls. It acts as a flawless translation layer between messy human intent and rigid software state.
HOW A BUILD WORKS
Discovery
1 call · free
Fit check + scoping conversation.
Klemen + Görkem
Mapping
3 – 4 weeks
Interviews capturing your corpus + judgment.
Klemen leads
Build
6 – 8 weeks
Knowledge graph, context graph, vector retrieval, agent layer, integrations.
Both
Hardening
1 – 2 weeks
Evals, human-in-loop tuning, citations on every answer.
Both
Handoff
1 week
Deployed on your cloud + keys. Runbooks delivered. ViaVia removes itself.
Klemen leads
12 – 14 weeks · end to end
WHO BUILDS THIS
AI integration · retrieval · knowledge-graph & vector architecture
Builds production AI systems where context, retrieval, and tool-use have to behave under load. Multi-agent stacks with isolated memory, layered pre-LLM filtering, vector retrieval over Pinecone, knowledge-graph construction over domain corpora, Claude + Gemini orchestrated through MCP and LangGraph. Currently Interaction Architecture Lead at Luminous Group.
klemenkocic.comFull-stack systems engineering
Ships production software across Flutter, TypeScript, Rust, Go, and Solidity. Author of widely-adopted open-source Flutter packages — bubble_bottom_bar (290★), bottom_navigation_badge, md2_tab_indicator. Builds the front-end, server, data layer, and the integrations that connect them, end-to-end on every build.
westdabestdb.comSTART HERE
The conversation runs about 45 minutes. If it's a fit, a written proposal follows within a week. No paid scoping. No sales motion.