Enabling Organisations to Adopt AI

AI Solutions for your Business

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Our Process

From initial data assessment to deployment of fully-customised AI solution with true impact, we are with you at every step of the journey.

1 AI Value Identification We identify processes in your business where AI adoption can have significant impact 2-4 Weeks
2 Proof of Concept Creation We demonstrate the feasibility of the use case, providing evidence of tangible benefits 3-8 Weeks
3 Solution Development We build a full-scale implementation, leveraging your data and our expertise 8-16 Weeks
4 Deployment and Support We deploy and integrate the solution within your enterprise and provide ongoing support 4-8 Weeks, ∞ Support

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Do you want to explore how AI can add value to your business? Reach out and we will provide a free assessment!

Our Services

Business Analytics & Insights

Data Visualisation
Data Storytelling
Dashboarding/Reporting
Customer Profiling
Customer Segmentation

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Computer Vision

Video Analytics
Image Processing
Object Recognition
Surveillance
Anomaly Detection

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AI Enabled Softwares

Image Studio
Scan2Text
Medical Assistants
Smart ERPs
Cybersecurity Suite

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Natural Language Processing

Chatbots
Text to Speech
Speech to Text
Speaker Separation
Text Analysis

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AI in Business Processes

Market Mix Modelling
Churn Prediction
Employee Attrition
Pricing
Promotion Analytics

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Technology Stack

Cloud Platforms

ML Tools

Visualisation Tools

Deployment

Industries

Discover how AI can empower a few example industries below.

Manufacturing

Challenges

In the manufacturing industry, decreasing costs without compromising on the delivery of high-quality products & associated services is a constant struggle.

Opportunities

AI can enable automated and optimized planning, predictive maintenance, cut unplanned downtime, enhance efficiency and product quality, monitor processes and safety protocols.

What can AI do for Manufacturing?

Supply chain optimization to minimize inventory
Optimization of production planning to deliver orders on time in the most resource-efficient way
Detection of product malfunctions to enhance safety
Anomaly detection to generate prompt alerts
Supervisor presence monitoring
Automated quality assurance and SOP compliance tracking

Results

Implementation of AI in manufacturing organisations can result in upto 30% cost reduction and upto 10% production volume increase.

Retail

Challenges

The retail industry is highly competitive with increasing pressure from online competitors. Leading retailers know that customer experience and streamlined operations are key to their success.

Opportunities

Customer experience is being transformed via capabilities such as enhanced buyer engagement via virtual media and conversational interfaces, personalization and recommendations.

What can AI do for Retail?

Virtual reality driven interfaces can increase buyer engagement resulting in increased sales
AI can deliver unique insights on consumer buying behavior and how to react
AI can derive conclusions from big data and create personalized online shopping experiences for customers
Using NLP technology, retail stores can help customers locate an item and get answers to their questions about a specific product.
With AI it’s possible to improve and automate the forecasting of product demand with significant numbers
Determine the optimal location, product range and opening hours of new stores in order to maximize (expected) revenues
Computer Vision powered applications can perform inventory checks and manage consumer traffic at cashpoints

Results

Implementation of AI technologies in the retail sector can lead to 30% decrease in out-of-stock complaints, 15% reduction in inventory levels & upto 10% additional sales.

Increasing patient demands for personalised healthcare, coupled with the lack of trained specialists, continue to add to the woes of the healthcare industry. While the amount of data available soars every day, AI is needed to make sense of it and deliver results and actionable insights.

Opportunities

Artificial intelligence can simplify the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.
AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency, AI has the potential to revolutionize the healthcare industry.

What can AI do for Healthcare?

Efficient diagnosis and reduction in error rates
Tele-healthcare facilities
Drug discovery and personalised medication
Patient data analysis & its validation with literature to deliver actionable insights

Results

AI in healthcare can lead to better accessibility and improve general quality of life.

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Logistics

Challenges

The logistics industry is seeking ways to cut costs, improve business processes, enhance customer service and supply chain visibility, manage inventory, and comply with ever-changing and ever more stringent regulations. Meeting all these challenges is a tall order.

Opportunities

Logistics companies can reap significant benefits in almost every aspect of the supply chain by adopting AI. The logistics industry generates huge amounts of data – and AI can put this data to work to initiate better processes, improved predictive demand forecasting, and reduce operational costs. AI will help logistics operators see, understand and interact with the world in a faster and more efficient way than ever before.

What can AI do for Logistics?

Robotics with Deep Learning algorithms can make autonomous decisions to track, locate and move inventory within warehouses
Driverless forklift trucks can increase warehouse efficiency and safety
AI-powered visual inspection methods can identify damaged goods and recommend appropriate actions to boost productivity
Automation and processing of routine tasks involving contracts, customer information, financial information, customs etc.
Automation and optimization of truckload and delivery planning

Results

AI implementation in the logistics industry can lead to upto 10% faster deliveries through various optimisations, and reduce costs by upto 15% by better planning of resources.