Artificial Intelligence | Machine Learning

Revolutionizing Business with AI & ML

Strategizing your AI & ML Plan

Organizations are increasingly relying on Artificial Intelligence (AI) and Machine Learning (ML) to revolutionise all aspects of their operations. Crafsol, with its extensive expertise of the AI & ML domain and established procedures, can work with you in your digital transformation journey, whether you are building cutting-edge AI & ML platforms or consuming them. Across these sectors, we provide businesses with strategy advice, project execution, and managed analytics.

Taking you to the next level

Utilize our experience in machine learning, data science, and artificial intelligence to improve business results such as limiting downtime, detecting outliers, and predicting outages. Our team of Machine Learning professionals and AI consultants will walk you through every level of development to produce unique AI solutions that generate measurable business benefits. Our artificial intelligence consulting services are human-centered, results-oriented, and pragmatic, empowering you to become a leader in your sector and unlock greater value from your data.

Why Choose CrafSol

Crafsol has deep subject knowledge in artificial intelligence and machine learning to take on consultancy and development projects
We have experience developing AI/ML solutions for a variety of worldwide customers in a variety of industries.
We expertise in Customization of AI/ML solutions to address business-specific challenges.
Our promise is delivering cutting-edge solutions with speed, flexibility, and transparency.
We give top priority to the security of your data and the quality of our deliverable.

About Service

Machine learning (ML) is a type of artificial intelligence (AI) that enables software programs to grow increasingly effective at predicting outcomes without explicitly programming them to do so. Machine learning algorithms estimate new output values by using past data as input.

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Crafsol provides Best in Industry Technology

Improve decision-making with Crafsol's Deep learning solution

Deep Learning is a more advanced, complex, and automated variant of Machine Learning. This AI technology has the potential to significantly improve forecasting, decision-making, and other critical activities. Crafsol builds durable and scalable solutions using the finest Deep Learning methods.

With our expertise in software, mobile, and web development, we create strong and unique AI solutions. Our sophisticated AI software/products, which are capable of decision-making and problem-solving, assist you in working quicker, at a lesser cost, and without mistakes. Now is the time to hire our Artificial Intelligent Consultant.

Crafsol's Assistive Artificial Intelligence Consultant

Effortless Multi-tasking with Crafsol's ML Solutions

Provider of consulting and development services. We provide sophisticated unsupervised/supervised algorithms to automate business operations, eliminate human creativity, enhance operation speed, reduce mistakes, lower costs, ensure timeliness, and increase dependability.

Start to finish AI & ML Solutions

Increasing production capacity while lowering material consumption rates.

Smart manufacturing systems designed to capitalize on predictive data analytics and machine learning have the potential to improve yield rates at the machine, production cell, and plant levels

Machine learning is revolutionizing relationship intelligence and Salesforce is quickly emerging as the leader.

The series of acquisitions Salesforce is making positions them to be the global leader in machine learning and artificial intelligence (AI).

Revolutionizing product and service quality with machine learning algorithms that determine which factors most and least impact quality company-wide.

Manufacturers often are challenged with making product and service quality to the workflow level a core part of their companies.

Enabling condition monitoring processes that provide manufacturers with the scale to manage Overall Equipment Effectiveness (OEE) at the plant level increasing OEE performance.

To improve production processes by integrating sensor data (such as oil pressure, oil temperature, oil viscosity, oil leakage, and air pressure) collected from the equipment.

Providing more relevant data so finance, operations, and supply chain teams can better manage factory and demand-side constraints

Machine learning has the potential to bring an entirely new level of insight and intelligence into these teams, making their goals of optimizing production workflows, inventory, Work In Process (WIP), and value chain decisions possible.

Machine learning is ideally suited for optimizing supply chains and creating greater economies of scale.

For many complex manufacturers, over 70% of their products are sourced from suppliers that are making trade-offs of which buyer they will fulfil orders for first. Using machine learning, buyers and suppliers could collaborate more effectively and reduce stock-outs, improve forecast accuracy and met or beat more customer delivery dates.

Knowing the right price to charge a given customer at the right time to get the most margin and closed sale will be commonplace with machine learning.

Machine learning is extending what enterprise-level price optimization apps provide today. One of the most significant differences is going to be just how optimizing pricing along with suggested strategies to close deals accelerate sales cycles.

Increasing production yields by the optimizing of team, machine, supplier and customer requirements are already happening with machine learning.

Machine learning is making a difference on the shop floor daily in aerospace & defense, discrete, industrial and high-tech manufacturers today. Manufacturers are turning to more complex, customized products to use more of their production capacity, and machine learning help to optimize the best possible selection of machines, trained staffs, and suppliers.

The vision of Manufacturing-as-a-Service will become a reality thanks to machine learning enabling subscription models for production services.

Manufacturers whose production processes are designed to support rapid, highly customized production runs are well positioning to launch new businesses that provide a subscription rate for services and scale globally. Consumer Packaged Goods (CPG), electronics providers and retailers whose manufacturing costs have skyrocketed will have the potential to subscribe to a manufacturing service and invest more in branding, marketing, and selling