Artificial Intelligence & Cognitive Computing

Organizations are modernizing their existing infrastructure to withstand in a ‘default by digital' world. To ensure organizations do not fall behind in this race, we transform organizations to cognitive enterprise using intelligent systems that can see, listen, comprehend and learn. We are innovatively passionate in building AI-powered products and solutions that address real-world business problems. We help enterprises embrace AI to make superior decisions, focus on innovation, and gain unparalleled efficiencies . For companies seeking to build AI-driven smart businesses, Applexus is the go-to partner to pilot projects, develop concept prototypes, develop models and tackle complex industry challenges.

Dr.Thomas Bio

“Oxford Economics study of 500 CIOs demonstrates that spending on machine learning is expected to double from 2018 to 2020 and will reach 64% adoption by 2020. The adoption will spur an increase in expenditure on AI and machine learning to almost $47 billion (2020)”


Our Competencies

At Applexus, we work on innovative ideas and regularly prototype bespoke systems with active research on machine learning, including deep learning and complex algorithms. We have developed intelligent systems that recognize people by name, identify wearables, predict customer behavior and extract meaningful insights from business data. We apply machine learning to real business problems and our experience enable us to quickly and efficiently implement a wide variety of custom machine learning projects. We’re specialized in building intelligent solutions and few of our competencies include -

Machine Learning

Machine Learning

For Intelligent machines to automatically learn and improve from experience, it is essential to develop sophisticated algorithms. We help companies to create smart systems to leverage smarter algorithms that can iteratively learn from existing data and reveal hidden insights without being programmed explicitly.

Deep Learning

Deep Learning

Emulate the mechanics of the human brain to analyze data and create patterns to make critical decisions. Our purpose-built deep learning portfolio covers multi-layered artificial neural networking for developing advanced facial and object recognition systems, home automation solutions, AI-powered chatbots, and process automation solutions to redefine your businesses.

Natural Language Processing

Natural Language Processing

We help businesses bring the power of natural language processing through deep learning algorithms to mine data both structured and unstructured and provide actionable insights.This includes text classification, speech recognition, document summarization, machine translation, spam filtering, question answering, among others.

Machine Learning

Predictive Modeling

Predictive analytics unlock patterns that define the next stage of ‘what's next’ in business decisions but building the right model for your business can be often daunting. We help organizations implement efficiency, reduce time to value and improve end-user satisfaction by building the best predictive model for their unique data sets. We adopt an iterative approach to generate the best model that lends itself to the defined business objective.



The increasing population and need for heightened security measures make it important to create impactful facial and image recognition solutions. Factors such as the speed of recognition systems, accuracy and scaling are considered while developing such applications. Our services covers facial recognition R&D to its full-scale deployment including the development of proof of concepts, prototype creation, application development and pilot testing.

Object Recognition

Object Recognition

Object recognition often involves the construction of computational models that not only mimic the capability of the human brain but also matches its performance in visual tasks. We help you in data extraction by using optical character recognition and image analytics to train systems that identify visual content for embedded text detection, image search, , automatic image annotation and scene understanding.

Real-time Stream Analytics

Real-time Stream Analytics

Performing analytics and gaining physical insights from data that is prone to degradation is difficult. To prevent this, organizations need to carry out large-scale, real-time fast analytics on collected data to generate immediate and actionable insights. Our real-time stream analytics service enables organizations to collect and analyze streaming data as it arrives from a wide variety of real-time sources and respond accordingly. This allows improved process automation and highly accurate analysis possible.

Robotic Process Automation

Robotic Process Automation

With Robotic Process Automation, a wide range of industries can automate predictable, repetitive, and replicable tasks with rule-based algorithms. We enable businesses to assess their existing process, reengineer processes, and build automation solutions that will help them achieve process harmonization, save on human effort, improve quality, reduce risk and gain from economies of scale.

Our approach to development

Our approach

The challenges in planning a new AI initiative are the same-- be it a startup or large enterprise. Either there is a lack of data science specialists or the team is too small to handle the requirements of a fast-growing company. Our team of machine learning engineers and data science experts can help you develop artificial intelligence powered products and solutions as per your business requirements.

We follow a simple 4-step process to develop intelligent solutions –

  • Scoping

    We will work with you to understand your business objectives, know your data, recognize project goals and identify results to be achieved.

  • Evaluation

    Our evaluation process will assess how best machine learning will fit your requirement and what might be possible to deliver given your project goals and your data.

  • Design and Architecture

    After evaluation, we will work with you and your team to prepare a roadmap, strategy, structure, features, functions and implementation process to develop a workable solution.

  • Data Collection and Investigation

    For machines to learn, it needs data. We will interact with your leaders to collect business data. We closely study your data to determine what is feasible with the data and produce a detailed project development plan.

  • Proof of Concept

    Based on the project development plan, we build machine learning model prototypes that undergo rigorous training and testing to meet your business and performance metrics.

  • Model Development

    Successful prototypes are developed into machine learning models that lend itself to the defined business objectives. We develop data models that parse historic data, and new datasets to become situationally aware and predict future trends.

  • Full Stack Application Development

    Every layer of the application from the backend to its frontend is developed to enable easy access to machine learning models and maximize utilization of the system.

  • Security and Performance valuations

    All models and applications are continuously subjected to rigorous test to detect and fix security anomalies, scalability bottlenecks, and performance breakdowns

  • Model Fine tuning

    We can maintain, monitor, and tune performance of your models and applications for greater precision and efficiency and help your business grow and evolve.

Big Data
Data Science


  • python
  • rlogo
  • apache-spark
  • strom
  • kafka
  • flume
  • Tensor Flow
  • PyTorch
  • kudu
  • redis
  • cassandra
  • apache-hbase
  • Elasticsearch
  • Docker
  • Cloudera Impala
  • hadoop
  • hive
  • apache-pig
  • tableau
  • tech_DB
  • graphx
  • Plotly
  • Kibana
  • Power BI
  • amazon-web-services
  • azure
  • SAP-leonardo
  • ibm-watson
  • WSO2
  • MuleSoft

Related Resources

Leonardo: Straight-up! Leonardo: Straight-up! - The facts on SAP Leonardo
Working in the Warehouse of the Future The Future of Retail – According to analysts the future of retail is all about understanding your customer best by using innovative technologies like artificial intelligence, chatbots and more.