Artificial Intelligence
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
At LuminoGuru, 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 –
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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.
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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..
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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.
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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.
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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.
OUR APPROACH
4-Step Process
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.
