AI Factory

Take the leap into the future of business with our AI solutions. From automation to predictive analysis, we'll help you stay ahead in the digital race. Contact us now to start your journey.

Collaborate with us to shape the future

With AI factory, our Italian subsidiary, we specialize in the development, integration, and deployment of artificial intelligence (AI) solutions.

We are at the forefront of technological innovation, driving the digital transformation in various industries.

We combine expertise in software development with cutting-edge AI techniques to create intelligent solutions that can automate processes, analyze data, make predictions, and learn from user interactions.

We help corporates across sectors to help them harness the power of AI and stay competitive in an increasingly digital world.

Collaborate with us to shape the future

Efficiency

By implementing AI software solutions, businesses can significantly improve their operational efficiency. AI-powered systems can automate repetitive tasks, reducing human error and freeing up time for employees to focus on higher-value activities.

Enhanced Decision-Making

AI software can analyze vast amounts of data quickly and accurately, providing valuable insights to support decision-making processes. It can identify patterns, trends, and correlations that may not be apparent to humans, enabling businesses to make data-driven decisions and gain a competitive edge.

Personalization

AI software can understand individual user preferences and behaviors. This enables companies to personalize their offerings and provide tailored experiences to their customers, enhancing customer satisfaction and loyalty.

Cost Savings

AI software can streamline operations, reduce manual effort, and minimize the need for human intervention in various tasks. This can lead to significant cost savings for businesses in terms of manpower, time, and resources.

How we operate

Discover the potential of AI-driven solutions with our expertise at AI Factory. Let us revolutionize your business processes, streamline operations, and empower your teams with intelligent automation. Embrace innovation and stay ahead in the digital era. Contact us now to embark on your journey towards success.

Establishing with the corporate client an understanding of the business, its current processes, the areas where there improved efficiency through AI is needed most, then identifying the criteria of success to solve the problem.

The explainability of the model concurs with the customer to create confidence in the predictions/classifications made by the ML system, improving their transparency and reliability.

Establish an understanding of the business and the criteria success criteria for solving the problem. - Data extraction: select and integrate data relevant to the ML business. - Data analysis: exploratory analysis of the data To understand the pattern. Prepare data for the design of the model.

The output of this step is the dataset prepared to be passed to the ML model. For example, Null values are transformed to zero, or outliers are excluded from the dataset.

Select the best ML algorithms to solve the problem. The main objective is to keep track of all the experiments and maintain reproducibility while simulating code reusability.

The model is evaluated on a set of control tests to check the quality of the result. Once completed this iteration, we save the weights of the best models and distribute them using the API infrastructure.

The objective of the pre-production testing phase is to assess the reliability of a model for the production implementation.

During Continuous Training, we must continue to set up the dataset in the same way we train our model. This means outlier detection to understand when the data distribution diverges from the training data.

We manage the risks of models in production by monitoring the various metrics and performance [and alerting an operator to the progress of the model.

Continuous Integration is about testing, and validation code, data sets, data schemas, and models.

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AI Factory

Collaborate with us to shape the future

Collaborate with us to shape the future

Efficiency

By implementing AI software solutions, businesses can significantly improve their operational efficiency. AI-powered systems can automate repetitive tasks, reducing human error and freeing up time for employees to focus on higher-value activities.

Enhanced Decision-Making

Personalization

AI software can understand individual user preferences and behaviors. This enables companies to personalize their offerings and provide tailored experiences to their customers, enhancing customer satisfaction and loyalty.

Cost Savings

AI software can streamline operations, reduce manual effort, and minimize the need for human intervention in various tasks. This can lead to significant cost savings for businesses in terms of manpower, time, and resources.

How we operate

AI Venture Builder

AI Innovation

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