Generative AI Development

Generative AI has been the talk-of-the-town, particularly into SaaS and Digital product development. Building a platform with Generative AI can help solve the challenges across industries by helping them with quicker turnaround, more efficiency, and better quality. Generative AI can also help transform existing enterprise solutions.

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Generative AI Development

We welcome opportunities to work alongside different teams over projects of any complexity. By working together, we will develop new systems, solutions, and products to separate you from your competition.

Our Approach to developing Generative AI Development

Take a look at examples of our work and learn how our clients from different industries have benefited from our services.
  • Problem Definition

    We start Generative AI software development with the ideation and problem definition phase to understand how Generative AI can help your business whether it is automating tasks, improving turnaround time, or deriving probabilities.
  • Data Acquisition & Filtration

    Data serves as the foundation for Generative AI models, we will help you gather and filter most relevant information to help you with your project goals. AI’s generation process would depend upon the given set of information and filtering it efficiently.
  • Model Selection and Training

    Let us find the most suited Generative AI model that would fit your unique needs. We have extensive experience with code generators, text-to-image models, and data augmentation. We will consider the available input data and the desired output to choose and train the model.
  • Generative AI Integration

    Once we have trained and fine-tuned the model as per the client requirements, we will move forward with integrating Generative AI into your workflows and digital platforms. We will help you through every step of the way.

Why Citrusbug Technolabs?

01

Experience with Generative AI models

We are on top of the latest advancements in Generative AI and can help you make the most of our experience with different Generative AI models such as code generators, GANs, etc. We will find the most suitable model for your application.

02

Smooth Generative AI integration

Our expertise lies in custom tailored development that would be meticulous about your existing workflows and platform functionalities. We will make sure that Generative AI integrations are seamlessly integrated to your product.

03

Data security & privacy protection

Generative AI based solutions have an access to the code, data, and information that contributes to its development. Here the protection of these sensitive information becomes crucial. We will take care of those needs while following GDPR and CCPA regulations.

04

100% ownership & confidentiality

Your Generative AI product is unique and one of its kind, as such, we understand our responsibility to protect your ownership and confidentiality. With physical security measures and confidentiality agreements with our engineers, we protect your Generative AI product.

05

Experienced Generative AI engineers

Generative AI is a domain on its own where we have a team of vetted engineers to take on your entire Generative AI product development. These subject matter experts are standalone and can get things done for your product.

06

Expertise with Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs) architectures and their training techniques are the key for Generative AI models to improve the quality and accuracy of the generated outputs. We have the right expertise with GANs to manage those intricacies.

Technologies We have Expertise In

ML Frameworks
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Keras
  • MXNet
Data Processing
  • Pandas
  • Numpy
  • Apache
  • Spark
Model Deployment
  • AWS SageMaker
  • Google Cloud AI Platform
  • Azure Machine Learning
Automated ML
  • Google Auto ML
  • Azure Auto ML
NLP
  • Natural Language Toolkit
  • spaCy
  • BERT
  • GPT
  • OpenAI Module Fine Tuning

Our Clients

FAQs

Generative AI is a vertical of AI where we leverage AI in order to automate responses, creating content, and delivering personal experiences. From simple customer support to creating simulated medical data for patient privacy, we can serve all such needs with Generative AI.

We leverage different Machine Learning and Deep Learning models for AI software developments. We are experienced with models that fall under Linear Regression, Logistic Regression, Decision Trees. Support Vector Machines (SVMs), Random Forests, Convolutional Neural Networks (CNNs, Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).

Generative AI can help us achieve a lot with SaaS products and digital platforms. There are no limitations as Generative AI can be as creative as the logic of implementation. - Generating content for users: Visuals, Audio, Text, etc. - Quicker prototyping and designing through generating design variations - AI engineering design to innovate new structure and patterns - Simulating patient data for medical experimentations for real patient’s data protection - Expediting drug discovery through generating new molecule structures - Targeted marketing with personalized content and offers

We carry some of the subject matter expertise that is a must-have for Generative AI product development. With our turn-key software engineering team, we can help you build entire end applications, including AI intricacies, computational logic, and data analysis. We can confidently deliver robust solutions in competitive timing with a grip on libraries like TensorFlow, PyTorch, and Scikit-learn.

Engineering an AI product is not a straightforward software development job. There are intricacies related to efficiency, accuracy, and even realizing an imagined idea. Developing such a product with Generative AI can cost from a few thousand bucks to a six digit depending on how you divide the scope of work from MVP to full products.