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Our Services
Generative AI + Predictive AI

Ai Developments

Accelerate AI into your business. We help you understand the impact of AI and together explore the art of what's possible through our research, rapid prototyping and proof of concept.

Our end-to-end AI model development includes use case understanding and assessment, data preparation and transformation, model training and selection, hyperparameter optimization and deployment to deliver strong results.

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ChatGPT Chatbot

Since its inception, chatbot has evolved significantly from being programmed with rules to AI-powered. Generative Pre-trained Transformers or GPT are a family of neural network models that uses the transformer architecture. 

Chatbots powered by ChatGPT of OpenAI have state-of-the-art conversational capabilities with human-like manner. It can be trained with custom data, knowledge and context of your organization such as your products and services to provide 24/7 quality customer service for better customer experience.

Machine Learning

Machine learning is one way to use artificial intelligence where computers develop pattern recognition continuously by learning from and make predictions based on data, then autonomously update through model retraining without explicitly being programmed.

Today, machine learning is the catalyst for a strong, dynamic, and resilient enterprise. Modern organizations leverages the power of ML to generate top-to-bottom growth, employee productivity, and customer satisfaction.

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Deep Learning

Deep learning is a subset of machine learning where the algorithms are neural networks that are modeled after the human brain. Deep learning models can comprehend unstructured data and make general observations without manual feature extraction.

We use deep learning models to ​analyze large amounts of data more deeply and reveal new insights for which it might not have been trained and make predictions in various applications.

Data Analytics

The ever-growing quantum of raw data generated from applications leads to both the opportunities and challenges of converting raw data into actionable insights.

Data analytics is a multidisciplinary field that employs a wide range of analysis techniques, including math, statistics, and computer science including the uses of structured query language and statistical programming languages to collect, transform and organize data for informed decision making.

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Data Visualization

Hidden within your data lie important insights that can help drive business forward. Data visualization brings data to life, uncovering the insights hidden within your numbers.

 

Through dashboards, interactive reports, charts, graphs, and other visual representations, data visualization communicates complex data relationships and turns all that granular data into easily understood, visually compelling and useful business information.

Data Engineering

Data engineering involves the process of architecting and developing systems for data collection, storage, and analysis with scalability.

Focusing on data preparation, transformation and management, our data engineering team has the expertise to take on responsibilities of data pipelining, ETL support and machine learning operations (MLOps).

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