Monk’s Hill Venture

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Vietnam-based CoderSchool gets $2.6M pre-Series A to scale online course platform

CoderSchool, a Ho Chi Minh City, Vietnam-based online coding school startup, announced today $2.6 million in pre-Series A funding to scale up its online coding school platform.

This round was led by Monk’s Hill Ventures, with participation from returning seed investors Iterative, XA Network and iSeed Ventures. CoderSchool raised a seed round led by TRIVE Ventures in 2018.

CoderSchool will use the funding to accelerate its online teaching platform growth and technology infrastructure expansion for the company’s technical education programs that guarantee employment upon graduation.

The company, founded in 2015 by Charles Lee and Harley Trung, who previously worked as software engineers, pivoted from offline to online in early 2020 to bring high-quality technical training to everyone, everywhere. After switching to a fully online learning program, the company recorded 100% quarter-over-quarter (QoQ) growth in fully online enrollment, it said in a statement.

“Coding is the future. At CoderSchool, we believe everyone in Southeast Asia deserves a chance to be part of that future,” the company co-founder and CEO Lee said.

In Vietnam, the demand for IT talent is dramatically increasing by 47% a year, while supply is only increasing by 8% year-on-year.

“The need for strong engineers and developers in Southeast Asia has never been as pertinent as it is today with the growth of tech companies and digital businesses,” said Michele Daoud, partner of Monk’s Hill Ventures. “We have been impressed by the team’s focus on setting the standard for coding education in the region. We are excited to partner with CoderSchool to provide both opportunity and access to the millions of aspiring students in Vietnam.”

Given the strong engineer demand in Vietnam, the domestic market size is estimated between $100 million – $200 million, and still increasing every year, according to Lee. CoderSchool has been focusing on Vietnam for the last six years, but plans to enter the global market following the next round, Lee said, without providing exact timetable.

CoderSchool, which offers full-stack web development, machine learning and data sciences courses at a lower cost, has trained more than 2,000 alumni up to date, and recorded over 80% job placement rate for full-time graduates, getting jobs at companies such as BOSCHE, Microsoft, Lazada, Shopee, FE Credit, FPT Software, Sendo, Tiki and Momo.

“After having taught over 2,000 students, we’ve been able to refine our [coding education] content. We rewrote our full-stack web development course — from Ruby, Phyton to JavaScript — in two years, and added new machine learning and data science courses to our program,” Lee told TechCrunch.

CorderSchool’s online program enables students to interact with instructors and classmates before, during and after scheduled class sessions with its human-driven learning strategy. CoderSchool currently has 15 instructional staff, and plans to hire 35 additional instructors by Q4 2022.

CoderSchool’s data analytics has improved individual student performance while also allowing CoderSchool to increase its classroom size at scale, reaching a peak of 107 enrollments in a data science class.

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Bot MD, an AI-based chatbot for doctors, raises $5 million for expansion into more Asian markets

Time is critical for healthcare providers, especially in the middle of the pandemic. Singapore-based Bot MD helps save time with an AI-based chatbot that lets doctors look up important information from their smartphones, instead of needing to call a hospital operator or access its intranet. The startup announced today it has raised a $5 million Series A led by Monk’s Hill Venture.

Other backers include SeaX, XA Network and SG Innovate, and angel investors Yoh-Chie Lu, Jean-Luc Butel and Steve Blank. Bot MD was also part of Y Combinator’s summer 2018 batch.

The funding will be used to expand in the Asia-Pacific region, including Indonesia, the Philippines, Malaysia and Indonesia, and to add new features in response to demand from hospitals and healthcare organizations during COVID-19. Bot MD’s AI assistant currently supports English, with plans to release Bahasa Indonesian and Spanish later this year. It is currently used by about 13,000 doctors at organizations including Changi General Hospital, National University Health System, National University Cancer Institute of Singapore, Tan Tock Seng Hospital, Singapore General Hospital, Parkway Radiology and the National Kidney Transplant Institute.

Co-founder and chief executive officer Dorothea Koh told TechCrunch that Bot MD integrates hospital information usually stored in multiple systems and makes it easier to access.A smartphone with Bot MDs medical AI assistant for doctors displayed on it

Image Credits: Bot MDWithout Bot MD, doctors may need to dial a hospital operator to find which staffers are on call and get their contact information. If they want drug information, that means another call to the pharmacy. If they need to see updated guidelines and clinical protocols, that often entails finding a computer that is connected to the hospital’s intranet.

“A lot of what Bot MD does is to integrate the content that they need into a single interface that is searchable 24/7,” said Koh.

For example, during COVID-19, Bot MD introduced a new feature that takes healthcare providers to a form pre-filled with their information when they type “record temperature” into the chatbot. Many were accessing their organization’s intranet twice a day to log their temperature and Koh said being able to use the form through Bot MD has significantly improved compliance.

The time it takes to onboard Bot MD varies depending on the information systems and amount of content it needs to integrate, but Koh said its proprietary natural language processing chat engine makes training its AI relatively quick. For example, Changi General Hospital, a recent client, was onboarded in less than 10 days.

Bot MD plans to add new clinical apps to its platform, including ones for electronic medical records (EMR), billing and scheduling integrations, clinical alerts and chronic disease monitoring.

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