Neurolat is a A.I. online cognitive training program. It is the brainchild of Dr. Ng Meng Lek’s 25 years of research and development that is proven to deliver stunningly positive results. Powered by Artificial Intelligence (AI), Neurolat skilfully diagnoses and trains more than 30+ learning abilities to help students learn and grow their academic abilities.
Our programs are built on the research of Karl Witte, a 19th-century German philosopher and pastor who pioneered the understanding that the child’s learning environment and method of learning are essential to great success. As a result of his training, his son was fluent in 6 languages by the age of 9 and was awarded a Ph.D. in philosophy at the age of 14 and Ph.D. in law at the age of 16. He has been listed in the Guinness book of records as the youngest Ph.D. holder, still stands unbeatable after more than 200 years.
Dr. Ng revives and adapts in the 21st century digital age the same training techniques that Karl Witte used to train his own child.
The phenomenal results of the programme to improve a 20-year-old youth’s cognitive and social behaviour in just 10 days have caught the attention of the Ministry of Health, Malaysia. Dr. Ng was invited by the Malaysian authorities in November 2016 to share about his program breakthroughs. This is among his US and Asia Tour’s speaking engagements, Singapore Mediacorp TV and radio appearances. The first set of this Singapore brand, Neurolat, was sold in the US upon launch, before subsequent sales in China, Hong Kong, Singapore, Malaysia and Indonesia. To date, we have 1200+ users in 7 countries globally.
Rating Reviews
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Pros: I've found the work from home setup pretty solid for my ML Engineer role. It's a mid-sized tech company that generally trusts you to get machine learning projects done, which is great for personal scheduling. Most days, I can flex my hours.
Cons: Sometimes, management pushes for more "face time" even when you're remote from home, making WFH feel less flexible. It's not always consistent across different teams doing AI development, which can be frustrating.
Advice to Management: Keep promoting and respecting the work flexibility you offer, especially for remote employees. Ensure managers are consistent with expectations across all AI development teams.
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Pros: Work-life balance as a Software Engineer can be decent on most weeks. The hybrid model helps a lot, letting me avoid the commute to the San Francisco office some days. It's nice to have that flexibility.
Cons: But it's not always easy. When projects for our neuroscience tech platform get intense, the hours really ramp up. You can easily find yourself working 50+ hour weeks, which gets tough.
Advice to Management: Try to manage project timelines better. It would help prevent those intense crunch periods that really hurt the work-life balance for your engineering team.
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Pros: My immediate engineering manager was genuinely supportive. They helped a lot with career development for junior software engineers. Remote work flexibility in our San Francisco office was a huge plus for my work-life balance.
Cons: Upper management often changes direction without much notice, which makes project planning tough for our dev teams. There's a lack of clear communication from senior leadership on company vision. Sometimes it feels like they're a bit out of touch with day-to-day operations in a growing biotech startup.
Advice to Management: Focus on clearer, more consistent communication from the top down. Involve team leads and managers in strategic planning earlier. Help us understand the 'why' behind big changes.
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What is the day-to-day working culture like at Neurolat, especially for a software engineer in their San Francisco office?
The culture at Neurolat encourages collaboration and continuous learning, with teams often working on innovative AI projects. Software engineers typically experience a blend of independent work and team problem-solving, supported by regular knowledge-sharing sessions and a focus on technical excellence.
What is the typical work environment like at Neurolat for AI researchers?
Neurolat fosters a collaborative and research-driven environment, common in leading AI companies. Team members often engage in deep technical discussions and knowledge sharing sessions to advance project goals.
What is the day-to-day work environment like at Neurolat for a junior software engineer?
The culture at Neurolat fosters collaboration, especially within the engineering teams. Expect regular stand-ups and a focus on iterative development, with opportunities to learn from more senior developers.
What is the typical team collaboration like at Neurolat for software engineers in the biotech industry?
At Neurolat, collaboration is generally strong, with teams frequently using agile methodologies for product development. Engineers often work closely with researchers and data scientists, fostering a cross-functional environment.
