aiqorx
Research assistance
Extract and summarize relevant supplied information.
AI & intelligent workflows / Gemini integration
Model capability inside a considered workflow.
Gemini models can support language, document, and multimodal tasks through an application-controlled interface.
Talk through your project
Technology in focusGeminiEvidence / Evaluation / Control
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.
Structured generation
Produce constrained outputs for application use.
Review passes
Check a response against a defined evidence set.
02 / Architecture
The decisions
behind the build.
A sound foundation
Keep tool permissions and validation in the application. Select a suitable model and test output schemas, context limits, and failure handling.
The tradeoff to consider
Model output needs evaluation and verification. Review cost, latency, and data handling requirements for the chosen endpoint.
03 / Delivery & care
Make it work.
Keep it dependable.
Quality in the details
Evaluate representative inputs alongside ambiguous, adversarial, and unsupported requests. Track quality, latency, cost, and human corrections against a defined acceptance set.
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.
Related work / Documented implementation
Advisor Brief
A working AI prototype that gives wealth management advisors live market context, SEC-grounded company intelligence, and a source trail for every material claim.
Explore the project04 / A few useful questions
Before you begin.
Is Gemini the right choice for my project?
Model output needs evaluation and verification. Review cost, latency, and data handling requirements for the chosen endpoint.
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.