Gyrus AI | AI as a Service for Smart Solutions

AI as a Service

ML/AI algorithms driven insights / analytics power businesses
for low power vs performance!

Gyrus Working Model

Gyrus follows a phased approach to deploy machine learning models with customers.

Collaborate with the customer to define the use case, problem statement, acceptance criteria, data sources, and deployment model.

Gyrus enhances the data, measure quality, and transfer learns its models to the specific problem. If data quality is low, this phase may take longer.

Models are deployed, performance is monitored, and feedback is used for adjustments. A/B testing may be conducted.

Final deployment occurs once results are validated.
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Gyrus AI Model Development Stages


Working Stages

1

Problem & Data

Customers provide their problem statement and dataset. Gyrus uses its AI/ML models, hardware, and standard datasets.

2

Data Preparation

Customer data is cleaned and enriched. Models are built using transfer learning from prebuilt models.

3

Checks & Privacy

Explainability models, bias checks, and differential privacy enhancements are applied.

Our Technology Stack

Our solutions run on the latest and greatest in AI, machine learning, and data tech.
These technologies are the engines that drive our innovation, helping us create smarter, faster, and more powerful products.