Artificial Intelligence & Cognitive Computing
Nurturing our passion for artificial intelligence and cognitive computing, we develop intelligent systems that can see, listen, comprehend and learn. We are innovatively aggressive in building AI-powered products and solutions that address real-world business problems. We help enterprises embrace AI to drive efficient processes, make superior decisions, focus on innovation, and gain efficiencies like never before possible. For companies seeking to build AI-driven smart businesses, Applexus is your go-to partner to pilot projects, develop concept prototypes, develop models and tackle industry challenges.
Driven by Experts
Dr. Thomas Koickal
Chief Technologist - Artificial Intelligence & Cognitive Computing
Dr. Thomas leads and drives AI product engineering efforts, technology strategy and machine learning innovation culture. For over 20 years, he has researched and worked on predictive modeling, machine learning, deep learning, neuromorphic computing and brain-inspired computing architectures. He is one of the longest-serving practitioners of machine learning and has developed AI applications for healthcare, technology, financial, and space systems. He has delivered several talks on AI and ML technologies and his works have been published in leading IEEE journals and conferences.
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’ve 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 -
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.
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
We help businesses bring the power of natural language processing through deep learning algorithms to mine data both structured and unstructured and provide actionable insight.This includes text classification, speech recognition, document summarization, machine translation, spam filtering, question answering, among others.
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 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 and train systems to identify visual content for applications that perform an image search, embedded text detection, automatic image annotation and scene understanding.
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
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.
Be it a startup or large enterprise the challenges in planning a new AI initiative is the same. 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 –
We’ll work with you to understand your business objectives, know your data, recognize project goals and identify results to be achieved
Our evaluation process will assess how best Machine Learning will fit your requirement andwhat might be possible to deliver given your project goals and your data
Design and Architecting
After evaluation, we’ll work with you and your team to prepare a roadmap, strategy, structure, features, functions and implementation process – leading to a workable solution
Data Collection and Investigation
For machines to learn, it needs data. We’ll interact with your leaders to collect business data. If you don’t have them we’ll collect from various sources, if possible. We’ll then closely study your data, determine what’s feasible with the data and produce a detailed project development plan
Proof of Concept
Based on the project development plan, we’ll build machine learning model prototypes that undergoes rigorous training and testing to meet your business and performance metrics
Successful prototypes are developed into machine learning models that lend itself to the defined business objectives. The models will understand historic data, analyse new datasets and predict future trends
Full Stack Application Development
Every layer of the application from the backend to 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 performance tune your models and applications for greater precision and efficiency and help your business grow and evolve