Research products
Retrieve web context for a defined question.
aiqorxAI & intelligent workflows / Perplexity
Perplexity offers search and AI capabilities that can support evidence-oriented research workflows.
Talk through your project
A connected engineering approach
People, tasks, accessibility
Components, logic, integrations
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Retrieve web context for a defined question.
Keep citations accessible alongside a summary.
02 / Architecture
Bound the search, inspect source freshness and relevance, and retain evidence alongside generated output. Keep API credentials on the server.
Citations are a starting point for verification, not a guarantee that every conclusion is supported.
03 / Delivery & care
Check permissions, failure handling, accessibility where relevant, and representative end-to-end behavior. Record the configuration and review it when dependencies change.
Review the users, existing systems, constraints, and definition of success.
Document the architecture, interfaces, risks, and delivery scope.
Review working increments against real use cases and failure conditions.
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
Citations are a starting point for verification, not a guarantee that every conclusion is supported.
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.
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.
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's build