Empower human creativity, let
our robots take care of boring tasks
Graip combines the power of rules-based Robotic Process Automation and self-learning Artificial Intelligence to automate tasks that require complex decision making.
of RPA and AI
System based on rules
Reduce overall cost through predefined automation features
Handle process volumes that are low, medium, or high
Optimizes processes by automating manual tasks
System that learn
Processes requiring human-like behavior
Extract data from unstructured sousces
Automating tasks that require complex decision making
of organizations have an average of 4-10 hyperautomation initiatives underway.*
of organizations consistently increase investments in hyperautomation initiatives.*
of the manager’s workload will be replaced by personal AI assistants by 2024.*
of heads of recruiting reported that talent shortages will have a major effect on their organizations.*
Intelligent Process Automation
Extracts data from different documents and file formats
ML Engine adapting to changing input patterns
Supporting your employees with daily routine tasks
Enabling enterpise-wide cross LoB automations
Clear Business Value
Payback was reported at less than 12 months,
with an average 20% of full-time equivalent (FTE) capacity provided by robots.
Deloitte Global RPA survey
Reduce human errors
Increase employee productivity
Improve process accuracy
Lower processing costs
Being leaders in CRM, CPQ and Billing space for many years, we know everything about systems that are helping our customers to increase productivity and automate front- and back-office process.
Our Vision is helping people to spend more time on what they are doing the best. Let AI do the boring part of daily job allowing us to do things that only human can do - be creative and communicate with people.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of AI based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.