Robotic Process Automation

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!

Email 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.

bt_bb_section_top_section_coverage_image

0123456789001234567890%

Success for all clients

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

012345678900123456789001234567890+

Process Automated

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

0123456789001234567890+

RPA Customers

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

0123456789001234567890+

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

13Nov

Parquet Perks: Why Data Scientists Opt for this Advanced Storage Format

In the realm of big data, efficiency reigns supreme. As data volumes continue to surge, organizations must adopt formats that deliver both speed and storage efficiency. Enter Parquet: a groundbreaking columnar storage file format that has transformed the way we handle massive datasets.

6Nov

Powering AI Innovation: Techniques for Synthetic Data Generation

In the era of data-driven decision-making and machine learning, the quality and quantity of data play a crucial role in the success of AI models. However, obtaining large, high-quality datasets can be challenging due to privacy concerns, data scarcity, and the high cost of data collection. Synthetic data generation has emerged as a promising solution to address these challenges, providing a way to create realistic and diverse datasets without the constraints of real-world data acquisition.

30Oct

Deploying ML Models with FastAPI and Docker

In the fast-paced world of machine learning, deploying applications efficiently and reliably is crucial for unlocking their full potential. This blog explores how to streamline the deployment process using FastAPI and Docker, with resources updated to and fetched from AWS (Amazon S3). We can ensure that machine learning applications achieve their highest potential by integrating these technologies. We’ll focus on deployment in an Amazon Linux environment, providing a clear and practical approach to setting up the machine learning applications.

22Oct

Overcoming Adversarial threats and strengthening AI defense mechanisms

In the rapidly evolving landscape of artificial intelligence, a critical challenge looms large: the need for robust AI defense mechanisms. The rise of adversarial attacks on AI has cast a shadow over the technology’s promising future, raising serious questions about trust and reliability. Can we truly rely on AI-powered diagnostic tools in healthcare? How can we ensure the fairness and accuracy of AI-driven hiring processes?