NeruoAIgent: Innovating AI Solutions
Our Mission
NeruoAIgent revolutionizes artificial intelligence with autonomous, self-retraining models that adapt to evolving environments, reducing dependency on developers. We deliver intelligent, future-ready solutions designed to stay relevant and effective in a rapidly changing digital world.
More on Agentic AI
Continuous Monitoring
Dynamic Learning Algorithms
Dynamic Learning Algorithms
Our Agentic AI systems are equipped with continuous monitoring capabilities that allow them to detect alterations in their operating environment. This includes changes in website structures, data formats, user behaviors, and other critical variables.
Dynamic Learning Algorithms
Dynamic Learning Algorithms
Dynamic Learning Algorithms
At the core of Agentic AI are dynamic learning algorithms that can identify patterns and deviations in data. When a significant change is detected, these algorithms trigger the retraining process. This ensures that the model remains accurate and effective without requiring manual updates.short description.
Automated Data Collection
Dynamic Learning Algorithms
Automated Data Collection
For effective retraining, models need access to new data that reflects the current state of their environment. Agentic AI systems are designed to autonomously collect and integrate this data, allowing them to maintain high performance despite external changes.short description.
Example Use Cases
Medical Office Billing
In our medical office, 100% of patients receive forms related to their visit. We designed a solution that integrates with the billing system, contextualizes information, applies it to documents, and prints with minimal clicks. This allowed patients to leave 20 minutes sooner and saved staff over 40 hours per month, resulting in more satisfied patients, happier staff, and faster insurance reimbursements.
Small Business Marketing
For our e-tailer, online visits have doubled within one year. Online sales have risen by 15%, and overall revenue has grown by 20%. The return on investment has been 60% compared to the cost of services and advertising expenditure.