Model design
Custom architectures, operators and training strategies when standard models are the wrong fit.
Independent AI research & engineering
We build AI when existing solutions are not enough.
RelevAI designs models, knowledge systems and infrastructure for technically difficult problems.
What we do
Research and engineering, end to end.
We work where model design, system architecture and production constraints need to be solved together.
Knowledge systems
Graph-based, agentic and evidence-aware systems built around real application constraints.
AI infrastructure
Inference and execution systems for low latency, concurrency, isolation and distributed workloads.
Applied R&D
Feasibility, experimentation and transfer of research into software that can be operated.
Technology
Our products.
Explore our product catalog.
Stable release consolidation
WeKnowDB
Graph-native knowledge infrastructure for applications, agents and multi-user knowledge systems.
Open WeKnowDB →Operating in production
KairosQ
Distributed inference infrastructure for routing, streaming and operating heterogeneous model workloads.
Open KairosQ →In development
RunDock
Remote object execution through local stubs, backed by worker pools and distributed hosts.
Open RunDock →Research
Research when the problem calls for it.
Some projects need a new model or representation. Others need better engineering around what already exists. We use research as a tool, not as a requirement.
Company
A small team for difficult technical work.
RelevAI works directly with organisations that need depth in AI architecture, infrastructure or applied R&D.