“Empowering Progress, Elevating Code: Machine Learning Developers Unleashing Innovation.”

Companies We have Helped Grow

Machine Learning empowers users to unlock new possibilities in image-related applications and workflows.

Our AI engineers have built many AI-powered solutions and are skilled in machine learning. deep neural networks and AI model development. We, as Midjourney developers, have successfully built and deployed Midjourney-like AI-powered program in multiple domains and industries. These programs can be utilized for web interfaces, advertising, marketing, virtual reality, healthcare, and even for artistic concept design.


ML Consulting & Strategy Building

Whether you are looking to streamline processes, enhance customer experiences, or gain a competitive edge through ML, our expertise is what you need. We assess your existing tech infrastructure, identify opportunities for ML integration, and create tailored strategies for the successful implementation of ML solutions.

Data Engineering

Our data engineering service ensures that your data used for machine learning model training is high quality and appropriately prepared for specific machine learning tasks. It entails a comprehensive suite of data engineering tasks that encompasses everything from data collection and cleaning to feature engineering and data augmentation.

Custom ML Model Development

We create domain-specific ML models by fine-tuning pre-trained models to address the unique needs of your business domain. Whether it’s BERT, GPT or Llama 2, our team of experts ensures that your models deliver context-aware responses with the highest level of accuracy and precision

ML-powered Solutions Development

Our data scientists and AI developers craft customized ML solutions to meet your unique needs. Our expertise lies in designing and implementing predictive models, recommendation systems, and other data-driven applications that optimize operations, elevate user experiences, and enable data-driven decision-making.

Integration Into Workflows

We ensure that our ML solutions seamlessly integrate into your existing workflows, making AI adoption effortless and efficient. We also offer comprehensive support and maintenance services designed to uphold peak performance for your ML systems, addressing any evolving needs or challenges that may arise over time.

MLOps Consulting

We help organizations adopt MLOps best practices and streamline workflows to ensure faster and more reliable development/deployment of ML models. We help select and configure tools for version control, testing, deployment, and monitoring, cutting model transition time from development to production


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Technology platforms

Technology Platforms in Software Development Company

Let Look at Some Amazing Features

Automation and Efficiency:

Task Automation: ML algorithms can automate repetitive tasks, saving time and reducing manual effort.

Predictive Analytics:

ML models can analyze historical data to make predictions about future trends, helping businesses make informed decisions.


ML algorithms can analyze user behavior and preferences to provide personalized experiences in areas such as content recommendation, marketing, and user interfaces.

Security and Privacy:

Implementing measures to protect sensitive data used in training and deployment.Addressing potential vulnerabilities and ensuring compliance with privacy regulations.

"Unleash the Potential of AI and Elevate Your Business to Greater Heights"

Our Machine learning Development Workflow

Data Collection:

Gather and curate a high-quality dataset that is representative of the task you are addressing. Ensure the data is properly labeled for supervised tasks.

Data Preprocessing:

Tokenize and preprocess the raw text data to convert it into a format suitable for input into the Transformer model. This involves tasks such as tokenization, padding, and encoding.

Model Optimization:

Optimize the model for deployment by considering factors such as model size, inference speed, and memory efficiency.


Deploy the trained Transformer model into a production environment. This may involve containerization (e.g., Docker) and orchestration (e.g., Kubernetes) for scalable and reliable deployment.

Monitoring and Maintenance:

Implement monitoring tools to track the performance of the deployed model in real-time. Plan for regular maintenance, updates, and retraining to keep the model effective over time.

Estimation Cost OF Developing Software Like Machine Learning Model

When estimating the costs for a machine learning (ML) software development project, the budget can vary significantly based on the complexity of the ML model, the type and volume of data, the expertise required, and the specific goals of the project.

Development Stage

Low-End Cost (USD)

Average Cost (USD)

High-End Cost (USD) 

Data Collection & Cleaning




Model Development   




Training & Tuning    




Integration & Deployment  




Maintenance & Updates   




Why Choose us for Machine Learning devlopment?

Expertise and Experience

Expertise and Experience

Our experienced team has extensive experience in web development across a variety of industries, assuring high-quality, individualized results.
Customised Solutions

Customised Solutions

We design one-of-a-kind websites that reflect your brand, optimize user engagement, and are in line with your business objectives.
Ongoing Support and Maintenance

Ongoing Support and Maintenance

Our maintenance and support services ensure that your website remains up-to-date, secure, and performing at its best so that you can focus on your main business.

Transformation starts here

Our team of expert is on hand to assist you
Software Development Company


prabhakar Software Development Company

Prabhakar Posam

On time delivery:
Code Quality:
I had the pleasure of working with SDLC Corp for my company’s web app development needs. Their app development services were excellent, and they went above and beyond in creating a mobile app with excellent UX and UI design. I highly recommend them for anyone looking to develop a mobile app.

Praful Tembhurne

On time delivery:
Code Quality:
SDLC Corp was the perfect choice for our company’s mobile application development needs. They were able to develop both the iOS and Android versions of our app with a seamless user experience. Their team was responsive and professional throughout the project.
hamza Software Development Company
On time delivery:
Code Quality:

I was impressed with the project development solution provided by SDLC Corp for my mobile app.  Their cross-platform apps are available on both the iOS (apple app store) and Android app stores, and I highly recommend them as a mobile app development company.

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Answer: Mobile devices have resource constraints, so considerations include model size, inference speed, and energy efficiency.

Answer: Use encryption methods for data transmission, implement secure authentication, and follow best practices for handling sensitive user data. Consider privacy-preserving techniques like federated learning.

Answer: Python is the most widely used programming language in machine learning development. Other languages like R and Julia are also used, but Python’s extensive libraries and frameworks make it a popular choice.

Answer: TensorFlow, PyTorch, scikit-learn, and Keras are among the most popular machine learning frameworks.

Answer: Challenges include obtaining high-quality labeled data, handling imbalanced datasets, choosing the right model and hyperparameters, and ensuring model interpretability and fairness.

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