aiqorx
Product data graphs
Join related information behind one contract.
Backend & data / GraphQL APIs
Ask for the shape you need.
GraphQL exposes a typed schema through which clients request connected data and execute mutations.
Talk through your project
Technology in focusGraphQL APIsThe systems behind the screen
A connected engineering approach
- 01Experience
People, tasks, accessibility
- 02Application
Components, logic, integrations
- 03Foundation
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Built around
a real use case.
Multiple clients
Serve differing screen needs from a shared schema.
Schema evolution
Deprecate fields with explicit client awareness.
02 / Architecture
The decisions
behind the build.
A sound foundation
Enforce authorization in resolvers and underlying services. Bound query depth, batching, and computational cost.
The tradeoff to consider
Flexible queries can hide expensive work. Monitor resolver behavior and prevent N+1 data access.
03 / Delivery & care
Make it work.
Keep it dependable.
Quality in the details
Test authorization, schema changes, concurrency, timeouts, and recovery. Inspect operational logs and rehearse restoring data and rolling back a release.
Understand
Review the users, existing systems, constraints, and definition of success.
Shape
Document the architecture, interfaces, risks, and delivery scope.
Build & validate
Review working increments against real use cases and failure conditions.
Handover & evolve
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
Before you begin.
Is GraphQL APIs the right choice for my project?
Flexible queries can hide expensive work. Monitor resolver behavior and prevent N+1 data access.
Can we improve an existing application?
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
How are scope and cost determined?
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
What happens after launch?
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's buildwhat's next.
A new website. A better product. A bigger possibility.It starts with a conversation.