AI APPLICATIONS
Most AI projects stay demos. We ship production systems.
Your teams drown in manual processes, knowledge sits locked in silos, and every other AI pitch ends as a slide deck with no code behind it. 100 DAYS builds AI systems that work in daily operations: RAG-powered knowledge systems, knowledge graphs that connect scattered data, secure agent frameworks (like the Claw architecture), and LLM integration, model-agnostic, because the right tool depends on the problem, not the vendor. In 100 days you get a production-grade system your team understands, runs and extends on their own. We also assess existing AI initiatives to separate what is real from what is not.
OUTCOMES
What You Can Expect
- Your support team drowns in tickets: a RAG system handles routine queries automatically and escalates only what needs human judgment.
- Your data sits in ten systems that know nothing about each other: a knowledge graph connects what matters and surfaces relationships you could not see before.
- You need AI agents that stay controllable in production: secure agent frameworks with clear boundaries, audit trails and human oversight.
- After 100 days your team owns the system: no vendor lock-in, complete knowledge transfer, and you decide what comes next.
Background reading: What is Agentic Coding? · Copilot vs. Claude Code vs. Cursor