With cashless payments being the next best thing since sliced bread, many countries have or are in the process of adopting to a cashless society. In fact, Sri Lanka too has its own startup catering to that particular niche. If you recall, we spoke about PAYable; a startup launched in early 2016 that debuted a platform that wanted to revolutionize cashless mobile payments.
Incubated out of Ceylon Business Appliances Ltd (CBA), PAYable is a free mobile app for both iOS and Android that works with a Bluetooth card reader, thus enabling merchants and vendors to accept credit and debit card payments from customers. This essentially turns that smartphone or tablet into a portable Point of Sales device. Since their launch in 2016, PAYable has worked relentlessly to gain the trust of Micro, Small and Medium Enterprises (MSMEs) and entrepreneurs and has also become a favorite of major banks.
PAYable launched their first devices in June 2016. Since then, the total number of Sri Lankan merchants accepting card payments has increased by 25%, facilitating transactions upwards of LKR. 750 Million. Needless to say, the platform is experiencing rapid growth across Sri Lanka.
All this, thanks to the hard work and dedication of Sujith Subasinghe, PAYable’s late Co-Founder and CEO who passed away in July 2017, together with Co-Founder and incoming CEO, Yohan Wijesiriwardane. The platform is now enjoying rapid growth across Sri Lanka. In fact, PAYable announced the successful completion of a round of funding, drawing in major investment. This investment would bring about extended credit and debit card usage and also a growth in e-Commerce in Sri Lanka.
PAYable has partnered with three of Sri Lanka’s largest private sector commercial banks and has also received investments from Clarkeview Investments Limited. With all these in mind, the company is in the process of implementing a fully market-tested plan in order to expand its network of merchants to 20,000 by the end of 2018 and 5 times that by 2020. Furthermore, according to Yohan Wijesiriwardane, PAYable is also planning on major expansions to PAYable’s service offerings. This would include new products and devices that would enable users to accept even more types of payment accepted through the platform.
We congratulate PAYable on all their achievements and are eagerly awaiting any details on the exciting plans they have in the future. If you would like to learn more about PAYable, you can do so by clicking here
Subscribe to our mailing list and get interesting stuff and updates to your email inbox.
thank you for subscribing 🙂
awww something went wrong 🙁
We respect your privacy and take protecting it seriously
What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa
What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa LAN Challenge 2018 is happening.
Semi-Finals of the internal tournament will take place on the 22nd and 23rd of January 2018 at Virtusa premises.
january 22 (Monday) - 23 (Tuesday)
Virtusa Pvt. Ltd. 752, Dr Danister De Silva Mawatha, Colombo 09
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and big data.
Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications
Module 3: Managing Datasets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning
Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks
Module 5: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
· Deploying and publishing models
· Consuming Experiments
Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products
Feel free to contact us for any inquiries
uditha bandara – 0716092918
All Day (Wednesday)
ANC education ,310 R A De Mel Mw, Colombo 03 00300
Blue Chip Training0716092918
Startup Weekend is a global phenomenon - 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships
Startup Weekend is a global phenomenon – 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships with co-founders; mentors, and investors.
The real value comes from taking an idea from concept through to execution using Lean tactics and working under high pressure with the best startups.
26 (Friday) 5:00 pm - 28 (Sunday) 8:00 pm
Oak Ray Regency Kandy
Oak Ray Regency Kandy, No 9, Devani Rajasinghe Mawatha,, 20000 Kandy