AI Software Development Solutions

The race to implement ideas and innovation surrounding AI has begun. If you also plan to leverage AI abilities into your software then AI software development solutions might be the key for you. Whether it is through web or mobile, Citrusbug Technolabs can help you with AI software development services.

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Our Approach to developing AI Software Development Solutions

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

    With AI/ML developments, it is vital to first define the direction to move forward. With our expertise, we can understand your goals and start with the feasibility study to ensure we are on the right path.
  • Data Preprocessing

    We can help ensure your AI application is built upon quality data for your ML model to train and process upon. Our data preprocessing and filtering expertise ensures that your ML model avoids inaccuracies and ambiguities.
  • Model Selection and Training

    Having experience with different ML models & selecting a suitable one for your product is vital. From Neural Network Models to Statistical Models, we feed the models and train them perfectly for your applications.
  • AI Integration

    Our expertise on end application development complements our AI/ML application development as we can also integrate such AI solutions and abilities to any client’s existing software platform.

Why Citrusbug Technolabs?

01

Research & development expertise

With AI, the ability to research, explore, and validate becomes critical if you are working on an innovative state-of-the-art solution. We are not limited to the resources and past experience, we are courageous and strategic about AI innovations

02

Custom-tailored AI solutions

No one size fits all and we understand that. We respect your unique aspirations and aims with AI product developments and our developers can articulate your ideas in pixel-perfect user experience through AI software development services.

03

Agile & iterative development

Building AI software development requires a mix of perfection and agility, we can strike the balance there. We have the ability for rapid prototyping with quicker turnaround and we can finetune those prototypes iteratively till we build the AI platform you need.

04

100% ownership & confidentiality

From physical securities to agreements with our engineers, we ensure to protect the hard-earned deliverables of our clients. All your AI ideas, designs, and the final software will be owned by the client, down-to-the last line of the code.

05

Hire AI software development engineers

Already have a software engineering team? Just looking for some expert-level AI engineer to assist your team? We have got you covered. We are fluent with 100% full-time resource augmentation so that you can take care of your AI bit without an inhouse team.

06

Generative AI

Generative AI is among the frontrunners of the AI developments, we have a good expertise on the same and can help integrate necessary GPT solutions and LLM that can serve your AI product development use case.

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

Traditional software development, in general, is much more predictable in terms of development activities, turnaround time, and the approach. However, AI software development requires research & development abilities which takes experience, innovation, and agility.

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).

There are several programming languages for AI software development, depending upon project goals, end applications, computation needs, and data analysis that is required. Without a grip on Python, we leverage an ecosystem of libraries for AI tasks like TensorFlow, PyTorch, and Scikit-learn.

The growing traction for AI software developments is allowing businesses to upgrade themselves ahead of the competition to get some competitive advantage and stay ahead of the curve as an early adopter of the industry.