BUILD A BOT AND AUTOMATE

Robotic
Process Automation

Putting innovation at the heart of your day to day operations!

Founding Minds has been at the forefront of innovation in the field of robotic process automation (RPA). We have developed a number of cutting-edge technologies that have helped to streamline and automate a wide range of business processes.

One of our key innovations has been the development of intelligent automation technologies that can learn and adapt to changing business needs. These technologies use machine learning algorithms to analyze and understand the patterns and behaviours in business processes, allowing them to identify opportunities for automation and optimize their performance over time.

We have also integrated advanced natural language processing capabilities that allow our robots to understand and respond to spoken and written commands, making them more effective and efficient at performing tasks.

Our RPA solutions have been widely adopted by businesses across a variety of industries, including finance, media, healthcare, and retail. They have helped to improve productivity, reduce costs, and increase customer satisfaction. Our commitment to innovation in the field of RPA has allowed us to consistently deliver world-class solutions that drive tangible business value for our customers.

TOOLSET AT FOUNDING MINDS

Softwares
to put you on Autopilot

Robotic process automation (RPA) tools are designed to automate repetitive, manual tasks and processes by creating “digital workers” that can operate across various systems and applications.

Some popular RPA tools include…

It’s important to evaluate the features and capabilities of each tool to determine which one is the best fit for your specific needs.

UiPath

Blue Prism

Automation Anywhere

Jiffy.ai

WorkFusion

OpenRPA

Call us!

Contact Us

HOW IT WORKS?

From your problem
To real solution

There are several key steps you should follow when choosing a robotic process automation (RPA) tool. Here is what we follow to accelerate productivity with RPA solutions

STEP 1Define your automation goals

Clearly define what you want to automate and the expected outcomes of automation. This will help you narrow down your search and select a tool that is capable of meeting your needs.

STEP 2Evaluate your current systems and processes

Take an inventory of your current systems and processes to determine which ones can be automated and which tools will be able to integrate with them.

STEP 3Select the best Process Automation tool

Based on our evaluations, we recommend the best RPA tool that best meets your needs and budget.

STEP 4Implement and roll out the RPA tool

Once you've selected the best tool, work with your IT team to implement and roll it out across your organization.

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Success for all clients

Success is not delivering a feature it is learning how to solve the customer's problem!

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Process Automated

We never neglect an opportunity for improvement and make it perfect.

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RPA Customers

Building a good customer experience does not happen by accident. It happens by design.

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Certified Engineers

The secret of our success is that we have gone to exceptional lengths to hire the best RPA engineers in the world.

OUR ANNOUNCEMENTS

Latest Blogs

28Apr

Unleashing the Power of Feature Engineering for Blog Recommendation System

In machine learning, algorithms are designed to learn patterns and make predictions from data. There’s a hidden operation that plays a crucial role in training the machine learning models - Feature Engineering. In this blog, we will delve into the importance of feature engineering, its role in enhancing model performance, and develop a recommendation system for blog posts, recommending a random number of blog posts based on their interaction metrics.

28Mar

Keeping LLMs Real

Natural language processing has developed much like a meandering river—its path winding and unpredictable. Bringing together ever-changing AI methods while keeping them true to real facts is no easy task, much like following a stream through a foggy dawn. Today, as we stand in awe of the vast Large Language Models (LLMs), we notice a gentle truth: these remarkable systems are like curious, wide-eyed children.

20Mar

From Manual to AI-Driven: A Journey into Synthetic Test Data Generation

Perfect test data is the holy grail of QA engineering. We need data that’s realistic, varied, and thorough enough to catch edge cases – but our current options all fall short. Production data masking gives us realism but raises privacy flags. Random generators pump out quantity without quality relationships. And creating test data manually? That’s like painting the Golden Gate Bridge with a watercolor brush.

13Mar

Journey through Neural Network Architectures: RNNs, CNNs, and Transformers

Ever wondered how your phone predicts what you're about to type, how Netflix seems to know your taste in movies, or how voice assistants like Siri and Alexa understand you? It’s all thanks to powerful neural networks!