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.
Focused architecture and delivery work for query engines, analytical backends, and AI agents.
Best for a decision that is expensive to reverse.
A focused review for query engine, analytical backend, and system design decisions that are difficult to reverse.
Deliverable: evidence-backed recommendation and action plan.
Explore consultingBest for a system your team needs to operate.
Hands-on engineering for analytical backends and performance-critical components your team needs to own.
Deliverable: production code, tests, and handover.
Explore deliveryBest for a prototype that must become dependable.
A design engagement for product teams defining agent workflows, tool access, evaluation, and oversight.
Deliverable: bounded design and evaluation plan.
Explore AI agent system designInspect the open-source systems, design rationale, and code that put our approach to work.
An implementation of knowledge as code: organizational facts in git, checked by a compiler in CI.
Read the design studyA pull-request triage system that makes routing and prioritization decisions with an auditable reason.
Read the design studyA small process designed to make technical decisions explainable and useful after the engagement ends.
Make the system boundary, operating context, and decision explicit before selecting a solution.
Use workload evidence for data systems, and workflow and evaluation evidence for AI agents.
Deliver a recommendation or implementation with the reasoning and operational knowledge attached.
Tell us what the system needs to do, where the uncertainty is, and what makes the decision costly to reverse.