Digital Transformation

TRANSFORMING BUSINESS OUTCOMES. SAVE TIME. SAVE EFFORT. SAVE MONEY.
Conversational-AI

Conversational AI

Conversational AI is technology that has evolved over time and has allowed Bots to provide human-like interactions. Conversational Bots use large volumes of data, machine learning and natural language processing to mimic human interactions by recognizing a user’s speech or text patterns.Conversational AI is revolutionizing

Hyperautomation-Valenta

Hyperautomation

Hyperautomation brings together Robotic Process Automation (RPA) and Artificial Intelligence (AI) technologies to deliver automated outcomes, with superior efficiency. This technology has the ability to automate highly complex activities, starting with RPA and then expanding with AI. 

Intelligent

Intelligent Document Processing

Intelligent Document Processing or IDP is AI-powered technology that combines Optical Character Recognition (OCR), Computer Vision, Natural Language Processing and Machine Learning. IDP is a solution that scans, reads, extracts, categorizes, and organizes various document types such as papers, PDFs, Word Docs, Spreadsheets etc.Every organization

Managed-Data-Analytics

Managed Data Analytics

Organizations today process more data than ever before but are unable to use this data to make more informed or data driven decisions. Valenta’s experts in Data and Analytics can assist organizations transform their Data into opportunities and revenue streams.As more Businesses Migrate to the Cloud, the opportunity to tap data from various

Process and Task Mining

Process mining is one of the latest Digital Transformation technologies that compliments Robotic Process Automation extremely well. Organizations have always known what functions they could Automate within respective departments purely based on volumes and the repetitive nature of the

Robotic Process Automation

Automation is certainly changing how most companies operate but it has not been able to go beyond a point-based solution. Most companies including the large organizations with sophisticated in-house teams are unable to deploy Automation across the organization. The cost benefits too are not justified in most

Test-Automation

Test Automation

With over 500 million Apps predicted to be built by 2040, the need for Test Automation is greater than ever. Every application that enters the Market needs to go through rigorous testing to ensure the software delivers in the real world. Up until recently, Manual Testing was the most preferred