Making cloud systems
intelligible
We build research-driven generative AI systems that help organizations understand failure, behavior, and complexity in modern cloud platforms.
Identity
Who we are
Trilagi is a deep-tech startup founded by three co-founders with extensive experience in AI research, distributed systems, and large-scale R&D. We focus on building intelligent systems that reason about complex technical environments — not just automate them.
Context
The problem
Cloud platforms have become too complex to reason about under failure. Signals are fragmented, context is lost, and diagnosis remains largely manual — slow, error-prone, and expensive.
Methodology
Our approach
We investigate new ways for AI systems to develop an internal model of complex technical environments, enabling higher-level reasoning about behavior, change, and failure.
Semantic understanding of heterogeneous technical data
Reasoning over system behavior, not just signals
Hierarchical AI agents collaborating on complex tasks
Research
Research foundations
Our work bridges computational linguistics, semantic processing of heterogeneous technical data, and distributed hierarchical multi-agent architectures. We focus on closing fundamental gaps in how systems understand causality and failure.
Meet the Team
Marcin Krysiński
CVO, Lead AI/LLM Engineer, Co-Founder
Seasoned AI/ML/DL/LLM expert with a proven track record in delivering innovative AI solutions and leading large-scale R&D initiatives.
Damian Szewczyk
CEO, Co-Founder
Experienced project manager with a strong background in delivering complex IT programs, operational efficiency, and cloud service strategy.
Mariusz Nowosielski
CTO, Lead Cloud Engineer, Co-Founder
Cloud and infrastructure expert specializing in private, public, and hybrid cloud environments and large-scale system implementations.
Let’s talk
Interested in collaboration or research?
[email protected]