01
Architecture review
A focused review for query engine, analytical backend, and system design decisions that are difficult to reverse.
Explore consultingWe help you make hard architecture decisions before they get expensive.
Stratorys advises on query engine selection and designs analytical backends. We also help product teams turn AI agents into bounded, dependable workflows. We advise when the decision is hard and build when implementation is required.
Services.
Focused architecture and delivery work for query engines, analytical backends, and AI agents.
02
Implementation & hardening
Hands-on engineering for analytical backends and performance-critical components your team needs to own.
Explore delivery03
AI agent system design
A design engagement for product teams defining agent workflows, tool access, evaluation, and oversight.
Explore AI agent system designPublic work.
Open-source systems that make our approach inspectable.
Open source
Cueto
An implementation of knowledge as code: organizational facts in git, checked by a compiler in CI.
Read the design studyOpen source
Pratrol
A pull-request triage system that makes routing and prioritization decisions with an auditable reason.
Read the design studyHow we work.
A small process designed to make technical decisions explainable and useful after the engagement ends.
01
Define the decision
Make the system boundary, operating context, and decision explicit before selecting a solution.
02
Test the assumptions
Use workload evidence for data systems, and workflow and evaluation evidence for AI agents.
03
Leave a durable result
Deliver a recommendation or implementation with the reasoning and operational knowledge attached.
Bring the decision, not a finished brief.
Tell us what the system needs to do, where the uncertainty is, and what makes the decision costly to reverse.