Custom ML Systems - Galific Solutions

Custom Machine Learning Solutions

At Galific Solutions, we build futuristic custom machine learning solutions that exceed your business expectations. Regardless of your business, whether finance, healthcare, e-commerce, or manufacturing, we would like to help you utilize your data to overcome the biggest hurdles you face in generating high ROI.

Our tools also help detect fraud by building tailored models based on specific data patterns, behaviors, and risks of an organization. Our models are designed to ensure a personalized experience tailored to your goals and the growth of your business.

Contact Us →

Step By Step Approach

We design custom machine learning systems tailored to your business goals whether it’s churn prediction, process optimization, or product recommendations. These models are trained on your internal data and tuned to perform in your environment.Built for businesses that need AI made just for them.

chart

What services do you get from our custom machine language solutions?

count

Domain-Specific Custom Machine Learning Solutions

We work closely with you while studying the business workflow context before deciding on the final model for a custom machine learning solution. So, our ML solutions would be an excellent fit for your outcomes

pattern
design
count

Data Preprocessing and Feature Engineering

We transform your raw datasets by making them impeccable, in terms of accuracy and relevance, through normalization and extraction of valid features.

pattern
design
count

Training, Validation, and Hyperparameter tuning of models

We rigorously test and train our models using revolutionary techniques before deployment.

pattern
design
count

Non-stop learning and optimization of models

Despite post-deployment, learning and optimization processes are ongoing. We implement the user inputs via feedback loops, timely updates, and periodic retraining.

pattern
design
count

Well-explained and transparent

We develop interpretable models that enable stakeholders to understand the reasons behind predictions they didn’t receive.

pattern
design

Industries We Support

We support several industries here are few:

icon
Finance & Fintech

Galific empowers financial institutions with AI for fraud detection, credit risk assessment, and automated reporting. Improve compliance and decision-making with real-time analytics.

Read more
icon
Retail & E-commerce

Galific helps deliver personalized shopping experiences, dynamic pricing, and smart inventory management. Improve conversions and streamline operations end-to-end.

Read more
icon
Manufacturing

We enable predictive maintenance, demand forecasting, and quality control through AI. Optimize resources, reduce downtime, and make faster data-driven decisions.

Read more
icon
Technology & SaaS Companies

We build AI models that enhance product functionality and automate backend workflows. Enable user behavior analysis, predictive features, and scalable deployments.

Read more
icon
Healthcare

From patient risk prediction to diagnostic support, our AI models assist in clinical decision making and operational planning. Drive better outcomes with real time intelligence.

Read more
icon
Supply Chain

Supply chains thrive on timing, accuracy, and cost control. Galific designs AI-driven solutions that forecast demand, optimize inventory levels, and streamline logistics—helping you move products faster and smarter.

Read more

Our trusted clients

Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo

How do we help?

We build custom machine learning solutions tailored to your company’s needs and current workflow.

Gathering data to come up with a custom machine learning solution
We understand that data is the most valuable asset for an organization, particularly when developing a custom machine learning solution. It’s the first phase where we collect relevant data from authentic sources to train ML models for making accurate predictions and provide you with valuable insights.
  • Sneakpeak - It helps you to detect anomalies and trends in all departments.
  • Determine – View or track that enhances performance.
  • Prioritize – Enables adding predictive scores within your CRM or dashboards.
  • Forecast – Helps in anticipating demand, risk, revenue, and churn before it hits.
Data preprocessing and cleansing before a custom machine learning solution
Accurate data is essential for a successful business. Hence, you would need impeccable data. At Galific, we perform data preprocessing and cleansing that includes converting raw data into an understandable format. It would also come in handy while training and testing models.
  • Eliminating null, irrelevant, and inaccurate values.
  • Data normalization and preprocessing.

We perform the above steps to ensure that our custom machine learning solutions help you in achieving greater accuracy, higher productivity, and performance.

Creating a custom machine learning solution, with custom options
Creating a custom machine learning solution would differ from one organization to another. Our team at Galific selects the right model depending on the criticality of the problem and classifies them into the following categories.
  • Classification - Useful for detecting fraud, loan approvals, and filtering emails.
  • Regression – Helps in forecasting sales, predicting prices, and ROI prediction.
  • Clustering - Beneficial for customer segmentation and product grouping.
  • NLP – Processes textual data such as feedback, support tickets, and legal docs.
  • Time Series Forecasting – Helps in stock price and demand prediction.
  • Spotting anomalies – Identifies fraudulent equipment failures or cybersecurity threats.

Our models educate the customers with a multitude of machine learning algorithms that exactly match their problems.

Custom model training
Training is the next step after building an ML model. At Galific, we have the required knowledge and technology to train our models effectively. Hence, you are sure to get custom machine learning solutions for practical problems.
  • Feeding the pre-processed data into the selected ML algorithm.
  • Extraction of raw data.

The ML algorithm constantly adjusts the internal parameters to reduce the differences between predictions and actual target values.

Testing, Validation, and ROI Benchmarking after building a custom machine learning solution
Our work doesn’t stop after creating a custom machine learning solution and training it. On the contrary, the real test starts with performance evaluation through testing, validating, and ROI benchmarking before deployment.
  • Accuracy – Measures the proportion of correctly classified instances out of the total cases.
  • Precision – Calculates the number of accurate and optimistic predictions out of the total predictions.
  • Recall – Evaluates the proportions of accurate optimistic predictions out of the overall positive instances.
  • F1-score – Refers to a harmonic mean of precision and recall.

Our evaluation measures the model’s capability in distinguishing between classes and uses confusion metrics to give a performance summary.

Deployment & Continuous Learning
It’s a final stage where the machine learning model solution fulfils all metrics after being created and trained. Once the model is completed, we integrate it into your organization's production environment.
  • The system handles high user loads.
  • Smooth and hassle-free operations without crashes.
  • Timely updates of the models.

Following the successful creation and launch, our model predicts new data by feeding unseen data into the deployed model, enabling practical decision-making.

General FAQs

Everything you need to know about the service and how it works. Can’t find an answer? Mail us at info@galific.com

  • In what way is a custom machine learning solution a better choice than a pre-built AI tool or SaaS solution? ⌄
    The key difference between Galific’s custom machine learning solutions and Off-the-shelf tools is that the latter aims to be a one-size-fits-all solution, focusing more on general data optimization rather than specific data optimization. However, Galific builds well-trained custom machine language solutions, especially for your historical data, tuned for your KPIs to solve practical and unique problems. It means that higher accuracy and ROI have more control over the entire pipeline.
  • How long does it take to build and deploy a custom machine learning solution? ⌄
    The timeline depends on the complexity of your problem and the availability of clean, relevant data. On average, a custom machine learning solution may take 4 to 12 weeks covering data gathering, model training, validation, and deployment. We provide a clear project timeline after the initial scoping.
  • Can Galific integrate the ML solution with our existing systems? ⌄
    Yes, our custom ML solutions are built with flexibility in mind. We ensure seamless integration with your existing tech stack whether it's CRMs, ERPs, data lakes, or custom APIs. Our team collaborates with your developers to ensure smooth deployment and compatibility.
  • What kind of data do we need to get started? ⌄
    We typically require historical data relevant to your business problem — this may include sales records, customer interactions, sensor data, financial transactions, or operational logs. Don’t worry if your data is messy we assist with cleaning, formatting, and feature engineering