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Step into the future with Open Malo Technologies' Generative AI Development services that help you enhance efficiency, streamline processes, and boost business growth with the integration of AI. Our expert team can help design generative AI solutions tailored to your specific needs, providing a platform enabling advanced innovation and unlocking limitless possibilities. From automation of processes to generative AI web design, leveraging our expertise in generative AI brings unparalleled advantages to your plate.

500+

Completed Projects

15+

Years of Experience

400+

Global Customers

Our Generative AI Development Services

At Open Malo Technologies, we are dedicated to designing generative AI solutions that meet your unique needs and aid business growth. With our customised services, you can expect enhanced task and process automation, data processing, and valuable insights through the following:

Generative AI Model Development

Our advanced Generative AI model development services are designed to help enhance your productivity. With tailored solutions, we provide cutting-edge Generative AI solutions that help you reach your market and revenue generation goals by streamlining workflows.

Generative AI Integration

Providing comprehensive services, we also assist in the seamless integration of technologies, such as generative AI web design, into your existing workflow and processes to help enhance innovation, efficiency, and revenue. We also help deploy autonomous AI agents that work independently to empower your organisation.

AI Model Fine-Tuning

Going beyond delivering a generative AI model, we also perform after-sales services that include optimising and refining your generative AI model for enhanced performance and meeting your business needs. In addition, we also help adapt pre-trained AI models to specific tasks for reduced training times.

Data Management

At Open Malo Technologies, we also help ensure easy storage, accessibility, and organisation of critical data sets to enhance AI model training and performance. By combining reinforcement learning with human feedback, we enable our Generative AI models to learn optimal behaviours for more accurate outputs.

Generative AI Development Features

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Data Analysis
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Generative AI development is highly dependent on existing data analysis, which helps determine the required functions of the AI model. Our expert data analysts can help extract, process, and analyse structured or unstructured data sets to uncover hidden patterns that drive generative AI development. With these valuable insights, you can streamline your business processes to boost growth.

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Generative AI Solutions
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Our Generative AI development encompasses different solutions, including chatbots, AI co-pilots, AI agents, predictive analytics tools, and recommendation systems. We use existing generative AI solutions such as GPT and Gemini as our building blocks to help create adaptable, intelligent, and creative AI systems that can transform your business's workflow and enhance productivity.

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Natural Language Processing
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At Open Malo Technologies, we have a team of experts with in-depth knowledge of the use and applications of Natural Language Processing (NLP). With our experience with NLP, we can help analyse data and gather valuable insights. This allows us to design all-round applications that can perform tasks like sentiment analysis, text generation, summarization, and translation.

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Machine Learning
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We have a team of experts with experience in diverse machine learning techniques, including reinforcement, supervised, and unsupervised learning. This allows us to develop generative AI solutions with a wide range of applications, enabling the seamless and effective adaptation and application of the AI solution to your diverse business needs.

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Deep Learning
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Open Malo Technologies experts also carry expertise in deep learning for Generative AI development. With this experience, we deliver AI solutions that function at unparalleled speeds. Integrating complex neural networks and state-of-the-art algorithms, our AI solutions are customised to your needs and can enhance your business functioning smoothly and effectively.

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Data Collection And Annotation
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Taking every step possible to deliver a superior Generative AI development service, we also collect and preprocess larger datasets for enhanced training of our AI generative models. Our experts specialise in data collection and annotation to ensure high-quality training data that enables the smooth working and adaptation of generative AI to your business needs.

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Security And Compliance
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At Open Malo Technologies, we are dedicated to complete customer satisfaction. For this reason, we integrate industry-standard security measures in all our Generative AI development projects. Every model we develop complies with business needs and uses multiple security layers to protect your business's sensitive data, from integration to work.

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Upgrade And Maintenance
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We are dedicated to your success and experience, for which we provide deployment maintenance and upgrade services. This enables the Generative AI to stay up-to-date with the dynamic nature of technology and business needs. Our timely upgrades also ensure the smooth working of the generative AI solution, helping deliver consistent results for the growth of the organisation.

Generative AI Development Solutions

Here are a few Generative AI solutions that you can integrate into your business for success

Step 1: Consultation

Open Malo Technologies is dedicated to creating tailored solutions with its Generative AI development services. For this, we begin with an in-depth consultation that helps us understand your business model. We also analyse the features required from the generative AI to help support business growth and operations.

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Step 2: Data Collection And Preparation

Once we have decided on a basic Generative AI model, we will begin collecting the information about your business and project. Next, we assess the scope of work and choose the most suitable tech stack, preparing a high-quality dataset for model training for developing the generative AI that best suits your business in terms of growth and functionality.

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Step 3: Model Designing And Training

Our team of experts will then design a model architecture according to the business goals and needs. This is followed by developing a prototype to establish baseline performance. Using the datasets created, the team will then adjust and train the model for optimised functioning and send it for your approval.

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Step 4: Testing And Fine-Tuning

Once you approve the Generative AI's design, functioning, and user interface, our team of experts will work on fine-tuning it to help achieve the desired level of performance and accuracy. This is followed by rigorous quality and bias checks to meet industry standards and compliance.

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Step 5: Deployment And Integration

Upon final approval of the generative AI, we will deploy the model to your business and integrate it into your existing application or service for a seamless workflow. Our experts will make the Generative AI accessible through APIs, helping ensure maximum resource efficiency and easy scalability according to the business needs.

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Step 6: Maintenance And Regulation

With our goal of providing end-to-end solutions, our work doesn't end with delivering generative AI. Our team also provides after-sales maintenance and regulation to ensure the AI model's efficient running. In addition, with constant updates, we ensure that the AI evolves with your business needs and goals.

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What Our Clients Say

To book a consultation call with our Generative AI development experts, you can drop a query on our Contact Us page, and our experts will guide you further.


Generative AI can benefit a range of industries and businesses, including those working in e-learning, healthcare, fintech, real estate, transportation, retail, media and entertainment, and cybersecurity. Its applications are limitless, and its adaptation to business functioning can benefit industries beyond those listed above.


The cost of Generative AI development varies from project to project due to multiple factors, including the complexity of the project, the level of customization, the type of industry, and the existing procedures and AI support in the company.