aiqorxText classification
Organize incoming documents and requests.
AI & intelligent workflows / Natural Language Processing (NLP)
Turn language into usable information.
NLP covers methods for extracting, classifying, searching, and analyzing human language.
Talk through your project
Technology in focusNatural Language Processing (NLP)Evidence / 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.
Entity extraction
Identify useful names, dates, and fields.
Semantic search
Connect questions with relevant information.
02 / Architecture
The decisions
behind the build.
A sound foundation
Choose between rules, statistical models, and language models based on the task. Preserve source text and evaluate across relevant languages.
The tradeoff to consider
Ambiguity, terminology, and domain shifts affect accuracy. A generic benchmark does not replace task-specific evaluation.
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.
04 / A few useful questions
Before you begin.
Is Natural Language Processing (NLP) the right choice for my project?
Ambiguity, terminology, and domain shifts affect accuracy. A generic benchmark does not replace task-specific evaluation.
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.