Developing A Custom AI Algorithm Has Never Been Simpler With Our AI ML Service
As an Artificial Intelligence services company, we understand that AI technology has invaded the business scenario in recent years. BEEU Tech’s AI ML services helps you to train, test, and tune your deep learning algorithms to behave more like humans, Including Data Collection, Cleaning, Classification, and Algorithm Designing.
Contact us for your project idea and find out how our Artificial Intelligence consulting services can help your business to develop a solution and it opens new frontiers for your business as it can take advantage of AI-powered applications to automate your business processes and operations to drive growth and efficiency.
AHEAD OF THE GRIND
Manage Every Task Effectively With Advanced AI/ML Development.
BEEU Tech is an AI app development company and we believe in delivering the best-in-class performance to our clients by developing applications that specifically cater to their requirements and maximize their ROI by automating their business operations. We cover the entire range of AI development services including Machine Learning, Natural Language Processing, Speech Recognition, Computer Vision, and more. We give our best in designing powerful solutions that integrate seamlessly with the client’s business model and increase its growth in every possible way.
Our capabilities include:
- Computer Vision
- Deep Learning
- Machine Learning
- Edge AI
Automation Takes New Levels With AI ML Services.
As a machine learning company, we know that a challenging business environment drives industries to undertake constant digital initiatives for sustainable growth in the market. With the increase in data velocity, the task of making the best out of captured data is a challenge as well as an opportunity. Machine learning helps with automating the process of learning and knowledge discovery.
- Self service ML and AutoML.
- En-cash consumer preference and timeline events with Recommendations engine.
- Customer segmentation and clustering.
- Automate prediction and decision-making.
As a machine learning development company we ensuring reduced costs, increased time saving, automated operations, and enhanced productivity, we also help companies accelerate the end-to-end machine learning lifecycle in their organization.
Our Capabilities in AI/ML Development
BEEU Tech & AI/ML Development: Case Studies
AI Bias: Machine Ethics (A Case Study)READ MORE
ML/AI/NLP Case Study
Can Synthetic Data Solve ML, AI, Deep Learning problems?READ MORE
A CASE STUDY BY BEEU TECH
Automatic Number Plate RecognitionREAD MORE
Healthcare & Digital Transformation: Connecting You To The Right Care
Healthcare & Digital Transformation: A Case Study by BEEU TechREAD MORE
Our Full Capabilities in AI/ML Development Services
Extract useful information from images and surroundings for face recognition, biometrics, transportation, AR, and other use cases with computer vision algorithms.
Using our NLP capabilities, we help you convert unstructured data into meaningful insights. Utilizing the advances of artificial intelligence and machine learning, we assist you to build next-generation digital assistants that will solve your business complexities rapidly.
Foster superior business models, improvised products, and innovative services with our cutting-edge deep learning solutions. Utilizing real-time insights we help you discover unique opportunities, adapt to changing business scenarios, and reduce operational costs.
Edge AI runs on boards like Raspberry Pi, NVIDIA Jetson, Google Coral, and others.
Low hardware cost
Medical professionals at all levels have experienced artificial intelligence to some extent. From the front desk at the clinic to nurses, doctors, surgeons, and those in niche areas, AI is helping automate processes across the board.
Managing Medical Records
Machine Learning is a fast-growing trend in the healthcare industry thanks to the advent of wearable devices and sensors that can use data to assess patient health in real time. The technology can also help medical experts analyze data to identify trends that may lead to improved diagnoses.
Artificial Intelligence (AI) has completely transformed the retail landscape by automating processes across the retail chain while personalizing the customer’s experience.
Automated Product Tagging.
Dynamic Personalization of the shopper’s journey in real-time.
Processing of Refunds.
Technologies powered by Machine Learning capture, analyze, and use data to personalize the shopping experience in real time. Algorithms discover similarities and differences in customer data to expedite and simplify segmentation for enhanced targeting. In fact, Machine Learning capabilities can present online shoppers with personalized product recommendations while adjusting pricing, coupons, and other incentives in real time.
To improve efficiency, product quality, the design of products, to the safety of the employees, Artificial Intelligence (AI) as many applications in the manufacturing industry.
Monitor and Predict Failure
Augment Production Design
Nowadays the customers want smarter, more convenient, safer ways to access, spend, save and invest their money, and artificial intelligence has given the financial industry as a whole a new way to meet the demands of customers.
Fraud Detection and Management
Financial Advisory Services
Banks and other businesses in the financial industry use Machine Learning technology for two key purposes: to identify important insights in data, and to prevent fraud. The insights can identify investment opportunities, or help investors know when to trade. Data mining can also identify clients with high-risk profiles, or use cyber-surveillance to pinpoint warning signs of fraud.
Clean, cheap, and reliable energy is essential to the development of our future and Artificial Intelligence is creating a great impact in the energy & power sector. AI systems can be particularly useful in the automation of routine and structured tasks, leaving humans to grapple with the power challenges of tomorrow.
Remote Monitoring System
Power line Fault Detection/Anomaly Detection
Solar Panel Cleaning
Smart Demand and Supply Optimization
Customer Specific Pricing
Power Usage Analytics
Carbon Emission and Trading
Artificial intelligence is playing an increasingly important role in the travel and hospitality industry.
Traffic Pattern & Management
Recommending Personalized Offers
The automotive industry is taking steps to differentiate itself by leveraging Machine Learning capabilities and big data analytics to improve operations, marketing, and customer experience before, during, and after purchase. Predictive analytics lets manufacturers monitor and share vital information regarding potential vehicle or part failures with dealerships, reducing customer maintenance costs.
Government agencies, such as public safety and utilities, have a particular need for Machine Learning since they have multiple sources of data that can be mined for insights. Analyzing sensor data, for example, identifies ways to increase efficiency and save money. Machine Learning can also help detect fraud and minimize identity theft.
The data analysis and modeling aspects of Machine Learning are important tools to delivery companies, public transportation, and other transportation organizations. In fact, analyzing data to identify patterns and trends is key to the transportation industry, which relies on making routes more efficient and predicting potential problems to increase profitability.
Machine Learning has become an integral part of the operations of most oil and gas companies, allowing them to gather large volumes of information in real-time and translate data sets into actionable insights. They now need to view data as an extremely valuable resource, with huge upside for companies with innovative, robust Machine Learning strategies. Saving time, reducing costs, boosting efficiencies, and improving safety are all crucial outcomes that can be realized from using Machine Learning in oil and gas operations.
Automotive, Resale Price Prediction
The company situated in the US, primarily into Bike and ATV resale retail + wholesale business recently diversified into car retail resale business via acquisition and also launch of a new online platform for buying and selling cars. Read More.
CPG, Trade Promotion
Major CPG goods manufacturer in the UK wants to know the effectiveness of a certain kind of trade promotion ( on the shelf, a display coupled with discounts, volume promotions, etc.) and then use this information to maximize its business metric ( Market Share, GMV, Revenue, etc.) within multiple constraints of budget, price, target revenue, etc.
One of the biggest electronics retailers in Dubai operates 30+ stores and offers 15000+ different SKUs at competitive prices. The client prepares for the annual shopping festival/season which is the major period of demand and also depends upon ~20 categories (~500 SKUs) for most of its revenues.
Retail, Shelf Space Optimization
Company in India which has exclusive rights to market and sell premium European brand of stockings and sports wear. The company places 150+ turner shelves across 50+ stores across India.
Airline, MRO Inventory Optimization
Singapore-based MRO company wants to rationalize the inventory of Spare parts to minimize overstocking carrying cost, CAPEX cost and penalties due to understocking.
Aviation, Parts Pricing
The client is among the largest distributors of aircraft parts in the US. Wants an intelligent pricing model for its quotations process. There is no background data available about competitors or probable customers.
AI-Based Black Spot Detection From Image
Tech Stacks: Tensorflow, Python, Android (JAVA)
An AI tool has been developed to detect the presence of garbage, cluttered drain, unclean public toilets (known as black spots) in an image. The tool is intended to reduce about 80% of human intervention by automatically classifying images taken from various public places.
AI-based system to measure the calorie burned during daily activities
The clients were prestigious, and they had experience in sports gear manufacturing and smartwatches for over a decade. They had been using the advanced rule-based system to read sensor values from the smartwatch and then predicting the activity of the user. This rendered them into a situation where they had to compromise with their performance because real-life scenarios were often unpredictable. The utter reliance on the smarter system was mandatory and hence the requirement of AI integration was absolute. They wanted to emulate more practical scenarios using nonlinear and non-deterministic systems.
Multi-camera People Tracking
Popular university in the UK with a campus spread across 300 acer, offering 25+ Programs in Graduation and Post Graduation. Has 150+ facilities to monitor and maintain wants a deeper peak into student behaviour. At any given point in time along with the classes there will be at least two dozen small and big scheduled events running in the campus along with seasonal admissions into the programs.
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