We enable organizations to transform their traditional data warehouses and BI environments to next generation Data Analytics 3.0.

Our experts help you navigate the rapidly evolving ecosystem of tools to develop the best data flow strategy for your business resulting in the most effective deployment.



From Data Acquisition to Data Analytics, we deliver the right mix of technologies to properly service your business by engaging our team of consultants, architects, and engineers. From open source to proprietary technologies that our clients leverage to support their specific needs, or whether it’s on-premise or in the cloud, we an bring your platforms into the new age of data intelligence.



We offer solution regarding challenges with data management – on where the data should reside, the life-cycle and access right of the data. We can help you redefine your strategy and revamp your architecture as it relates to your policies around data governance and data management while addressing key issues such as data integration and data quality.



Building a data lake on-premise or move it to the cloud for your EDW offload. We can provide the next generation data platforms and tools based on either open source or proprietary tools. We can help through the different technologies to ensure the best solution for your business.



The system is designed to allow anyone to build a multi-lingual domain-specific interactive engine that understands the nuances of human language from the very beginning. This technology can be applied in a variety of interactive interfaces and is customizable for many businesses use cases.

It creates a functional chatbot in about an hour with high accuracy. Unlike other interactive chat solutions that require developers to spend months to curate data, guesstimate intents, formulate entities, and more. Data labeling takes up to 90% of the effort when building an interactive user system. We eliminate the tedious work where it labels data automatically, saving significant time and resources.



We help to create Enterprise Data Lake (eg. Hadoop Data Platform), this include Hadoop deployment, tuning and troubleshooting.

For enterprise, perhaps the most powerful impact of a data lake is the enablement of innovation. Many enterprise struggles to establish a culture of data-driven insight and innovation because they are bogged down by the structural silos that isolate departmental or divisionally divided data stores, and which are mirrored by massive organizational politics around data ownership. To implement, an enterprise data lake provides the necessary foundation to clear away the enterprise-wide data access problem at its roots. PTC offers previously unavailable exploratory analysis and data mining opens up, enabling completely new possibilities.

New data consumption requirements and use cases emerge extremely rapidly. The entire philosophy of a data lake revolves around being ready for an unknown use case. When the source data is in one central lake, with no single controlling structure or schema embedded within it, supporting a new additional use case can be much more straightforward.

With a properly designed data lake you can truly enable self-service Business Intelligence. Allow the business users to access to whatever slice of the data they need, letting them develop the reports that they want, using any of a wide range of tools. IT becomes the custodian of the infrastructure and data on the cloud, while business takes responsibility for exploring and mining it.

When designed and built well, a data lake removes data silos and offer flexible enterprise-level exploration and mining of results. The data lake is one of the most essential elements needed to harvest enterprise big data as a core asset, to extract model-based insights from data, and nurture a culture of data-driven decision making.



Your Data Scientist can build, tune and deploy models without spending too much time.  We provide you access to hundreds of the latest machine learning algorithms, with full transparency and control over the model building and deployment process. Tap into the best practices of Kaggle-ranked data scientists to automate the data pre-processing, feature engineering and parallel model building process. Use your domain expertise to find the best solution for your project and put it into production with just a few lines of code.

Best-in-class algorithms from R, Python, H20, Spark, TensorFlow, and other sources is constantly expanding and at your disposal. With one line of code or a single click, you train, test, and compares hundreds of different models, including techniques you may never have used from languages or projects you may not be familiar with.

The platform automatically identifies the best pre-processing, feature engineering, and model validation for each modeling technique, and scientifically selects the hyper-parameters and options that optimize the performance of your models. The platform also allows you to select your own tuning parameters and do custom feature engineering.



Take your Data Analytics strategy and capabilities to the next level and into the new age of data intelligence. We provide tools to ensure that your data scientists can generate predictive analytics using machine learning in hours rather than days.  This will provide insights from your data that you never knew were possible.

Advance analytics to make predictions about unknown future events. We offer many techniques from data mining, statistics, modelling, machine learning and artificial intelligence to analyze current data to make predication about future.

It uses a number of data mining, predictive modeling and analytical techniques to bring together the management, information technology and modeling business process to make predictions about future. The patterns found in historical and transaction data can be used to identify and opportunities for future.

Predictive analytics models capture relationships among factors to access risk with a particular set of conditions to assign a score, or weightage. By successfully applying predictive analytics the businesses can effectively interpret big data for their benefit.

The data mining and text analytics along with statistic, allow the business users to create predictive intelligence by uncovering patterns and relationships in both the structure and unstructured data.

Predictive analytics allows organization to become proactive, forward looking, anticipating outcomes and behaviours based upon the data and not on hunch or assumption.