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Phoenix PharmaLabs Raises More Than $1.1 Million via Netcapital


Phoenix PharmaLabs, Inc. (, a private company developing what is believed to be the worlds first non-addictive opioid for treatment of moderate to severe pain, today announced a successful equity offering of more than $1.1 million via Netcapital (, an SEC-approved equity funding portal. A combination of accredited and non-accredited investors participated in the offering, which commenced October 11, 2018 and closed March 30, 2019.

This very positive response to our offering, coupled with a $2.7 million grant awarded by the US Army last year, enables Phoenix to accelerate completion of our preclinical studies and scale-up of manufacturing of PPL-103. As a result, we anticipate filing an Investigational Drug Application (IND) with the FDA within approximately 15 months. When approved it will enable us to enter Phase I human clinical trials, said William Crossman, president and CEO of Phoenix PharmaLabs.

Jackson Stone, Director of Business Development from Netcapital, commented, The success of Phoenix PharmaLabs offering demonstrates the significant interest among the investing public in finding solutions to real world problems, such as combating the opioid crisis. Many Phoenix investors included physicians, nurses and pharmacists who appear to understand the pharmacological need for safe, non-addictive analgesics as well as individuals who have personally been affected by the devastation of the opioid crisis. Phoenix is the first offering on the Netcapital portal to fully max out their yearly Section 4(a)(6) allocation of $1.07M to non-accredited investors, which further illustrates the phenomenal success of the Phoenix asset and team in this offering.

Crossman said the company will soon commence Non-Human Primate (NHP) studies (which will include efficacy studies as well as further studies of abuse/addiction potential). Earlier in vivo studies have all indicated that PPL-103 performs exceptionally well and appears to be safe and non-addicting, with none of the side effects normally associated with opioids. Previous self-administration studies in rats have demonstrated that PPL-103 is non-addictive and those studies correlate very closely to equivalent studies in humans.

PPL-103, a partial-agonist targeting all three pain receptors in the brain (mu, kappa and delta), has been under development for more than a decade. All opioids on the market today bind to the mu receptor in the brain and then aggressively stimulate that receptor. The mu receptor produces euphoria that leads to abuse and addiction. PPL-103 is an analog that binds strongly to all three opioid receptors in the brain and then just partially stimulates each of those receptors in a more balanced manner. This partial simulation derives potent analgesic benefit from all three receptors but is not sufficiently strong to produce the serious opioid side-effects associated with any single receptor. This results in the first-ever opiate analgesic that appears to be non-addicting and free of all dangerous side effects.

In published and unpublished in vivo studies, it has been demonstrated that PPL-103 is:

  • An orally active potent pain killer (10x more potent than morphine)
  • Does not cause death from overdose (even when given 350x the analgesic dose)
  • Does not cause physical dependence or withdrawal
  • Does not cause constipation (even at 100x dose)
  • Has demonstrated potential as an opioid addiction therapy drug that could replace currently used treatments that are themselves addictive opioids.
  • Has demonstrated in early trials the potential as a treatment for cocaine addiction.

Netcapital is a private securities platform that makes capital markets work for real people. The portal connects investors to entrepreneurs to help private companies grow. Netcapital enables companies to raise capital by selling common stock to investors, thereby empowering emerging companies to raise capital through investment opportunities to the public. The Netcapital funding portal is registered with the U.S. Securities & Exchange Commission (SEC) and is a member of the Financial Industry Regulatory Authority (FINRA), a registered national securities association, as required by SEC rules.

In this press release, Netcapital refers to, a website operated by Netcapital Systems, LLC, which is neither a funding portal nor a broker-dealer. Sections of the web site are operated by Netcapital Funding Portal, Inc., which conducts all 4(a)(6) offerings as a funding portal registered with the United States Securities and Exchange Commission (SEC) and as a member of the Financial Industry Regulatory Authority (FINRA). Sections of the web site are operated by Livingston Securities, LLC, which conducts all 506(c) offerings as a broker-dealer registered with the SEC and as a member of the Financial Industry Regulatory Authority. None of these companies provide investment advice or make investment recommendations; nothing shared in this press release nor posted to the web site should be construed as such.

Phoenix PharmaLabs is a preclinical drug discovery company focused on the development and commercialization of new potent, non-addictive treatments for pain and new therapies for the treatment of addiction.

Bev Jedynak
[email protected]


Loanhere Launches New Website to Help Singaporeans Apply for Personal Loans from Licensed Money Lenders Fast and Effortlessly


SINGAPORE – Media OutReach – 23 February 2021 – Loanhere announced today the launch of its website, a one-stop destination platform to apply for a personal loan in Singapore and receive multiple quotations and offers from licensed money lenders instantly.

Widely recognised as one of the most expensive cities in the world to live in, having the financial liquidity to cope with Singapore’s high cost of living is not an easy thing. Coupled with an ongoing global pandemic, a significant number of locals are finding it difficult to cope and necessary to take out loans to cover living expenses and other payment obligations.

According to a recent report by, almost 1 in 3 Singaporeans have taken out a personal loan in the last 12 months, largely to cover basic expenses, consolidate their debts or pay off credit card liabilities.

Aggregating loan quotes from licensed money lenders

Although there are platforms in the market that provide aggregated information on personal loan and sme business loan, almost all of them are focused only on bank financing. There isn’t a similar platform that exists in the market for borrowing from a licensed money lender perspective.

Loanhere is launched in response to this and seeks to be the one-stop destination platform for all information related to borrowing from licensed moneylenders in Singapore.

More importantly, Loanhere provides potential borrowers with instantaneous loan quotes aggregated from a curated selection of established and experienced licensed money lenders throughout Singapore.

Loanhere saves borrowers time and hassle by prequalifying all the partner lenders in its network, to be operating with a valid moneylender license issued by Monetary Authority of Singapore (MAS), are of good standing with relevant authorities and have excellent customer reviews.

Simply by providing basic personal information such as name, contact details, and the sum of money desired to borrow, Loanhere matches the loan request via its proprietary process with suitable offers from its network of licensed lenders and sends the corresponding loan quotes and offers to the requestor’s email inbox instantly. The service is automated and entirely free to use by all Singapore citizens and permanent residents (PRs).

While banks have been the traditional lenders of personal loans, more and more Singaporeans and permanent residents have been increasingly turning to licensed money lenders as the alternative – or even the preferred – channel to take out a loan from.

With evaluation criteria generally more favourable to borrowers, shorter application processing and cash disbursement time, as well as the possibility of negotiating customised loan repayment plans, more and more locals are finding the licensed moneylender route an attractive option for personal financing.

Clearing the air on licensed money lending

Nevertheless, there remains a certain degree of misconception and an absence of clarity in the market when it comes to licensed moneylenders, such as how do they work, how to differentiate the good ones from the bad, what is considered legitimate and what is not, among other doubts and concerns.

Beyond providing borrowers loan quotes fast, Loanhere also strives to raise the public’s general awareness and understanding of borrowing from licensed moneylenders, through regular publishing of articles on the website that covers various aspects of the subject, including the clear distinction between licensed money lending and other unsavoury forms of lending.

“Taking up loans from licensed money lenders in Singapore is a viable and oftentimes more appealing option than borrowing from banks. We believe more Singaporeans can better alleviate their financial situations with a clear understanding and proper use of licensed moneylenders as a practical and legitimate source of funds, and are committed in our mission to deliver the most efficient loan quote aggregation service in the market”, explained a spokesperson from Loanhere.

Visit the Loanhere website and receive instant loan quotes with a simple submission at

About Loanhere

Loanhere provides useful and relevant information about loans and alternate financing options via licensed moneylenders to help Singaporeans and permanent residents (PRs) alleviate their financial challenges.

Loanhere is committed and dedicated to be the number 1 destination site in Singapore for loans and financing through licensed moneylenders.

To find out more about Loanhere, please visit

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Hunter Fan Company Debuts Industrial Fan Line For Singapore


Inventor of Ceiling Fan Expands HVLS Product Offerings for International Market Needs


SINGAPORE – Media OutReach – 23 February 2021 Hunter Industrial Fans – the industrial division of Hunter Fan Company – launched its international fan line known as “DDI.” The DDI is a high volume, low speed (HVLS) industrial fan built for powerful air circulation. The HVLS fan is designed for simplicity while providing significant airflow due to its custom-built, direct-drive motor and three aerodynamically efficient blades.

“Hunter Industrial has grown significantly over the last six years, and we’re proud to offer a product that meets the demand for our international customers across the globe,” said Mark D’Agostino, Senior Vice President and General Manager of Hunter Industrial. “The DDI fan will offer competitive pricing with unmatched performance in the industry.”

Available in two sizes – including 20- and 24-foot diameter models–the DDI fan is ideal for any facility looking to provide greater air movement in large spaces, such as warehouses, manufacturing centers, shipping, or dock and door areas.

“We have seen an increased demand for an international product line that is reliable, easy to install and affordable. DDI is the solution, and I look forward to partnering with companies across the world to meet their facilities’ needs,” said Borja Chavarri, International Director of Sales for Hunter Industrial.

The DDI fan features a five-year warranty on the motor and electronic control, and a Limited Lifetime Warranty on all other components. For international sales inquiries, contact Borja Chavarri at [email protected].

About Hunter Industrial Fans

Since 1886, Hunter Fan Company’s focus has been on providing and enhancing comfort for consumers. Hunter’s commitment to quality, craftsmanship and innovation is why the company remains unrivaled today–and why Hunter’s fans last for generations. Hunter Industrial is part of that heritage, and the industrial division’s high-volume, low-speed fans embody Hunter’s passion for pioneering breakthroughs in ceiling fan technologies. Hunter Industrial’s fans are designed with every person in the process in mind–from installer to owner. Based in Nashville, Tenn., Hunter Industrial’s designers, engineers and technicians work together to test, prototype and manufacture every fan to perfection. For more information, visit

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Appier Shares AI Predictions and Trends to Watch in 2021


TAIPEI, TAIWAN Media OutReach23 February 2021 – Appier, a leading artificial intelligence (AI) company, today shares AI Predictions and Trends to Watch in 2021. Artificial intelligence (AI) and machine learning (ML) have moved from the backrooms of computer science into the mainstream. Their impact is being felt in everything from how we shop through to finance markets and medical research, as well as the agriculture and manufacture industries.

Larger models have been trained in separated modality. For instance, GPT-3 is the first 100-billion-parameter model for natural language processing (NLP). Recently, a-trillion-parameter model (T5-XXL) has also been trained. They can be used to write articles, analyze text, perform translations and even create poetry.

In parallel, we’ve seen models used for image recognition and generation greatly improved as they have also been trained with more data sets. What we are seeing emerge is the power that can come from combining two or more AI models without changing these large models. In this way, combining these large models becomes affordable. That will allow us to use AI to interpret text and generate a completely new image. The following are the current observations and predictions of AI applications in five major fields.

The E-Commerce Boom Is AI-Driven

Over the last year, online commerce has grown significantly and is expected to continue to increase. COVID-19 restrictions have resulted in people spending much more time online — not just shopping but in online meetings, playing games, accessing social media and using apps. The growing digital journeys undertaken by people have generated more data that can be used to understand human behavior. However, more data also brings a greater complexity. Today, there’s no single, most effective channel for reaching customers. Reaching the right customer on the right channel at the right time is complicated for humans, but that complexity can be overcome through the use of AI.

AI gives marketers a way to influence customer’s behavior at a pace and scale previously thought impossible. AI not only finds the right customers, but also accesses the often-forgotten long tail of customers. It can also effectively generate creatives and develop customized content for different customers, and test the performance for different creatives to increase user engagement.

Data-Driven Finance Relies on AI

Furthermore, the main application of AI in finance has been in high-frequency trading where transactions are conducted between machines faster than people can communicate. This will continue in both traditional finance and in the world of cryptocurrencies, where we see different AIs engage in ‘warfare’. Investors have been using AI to make long-term predictions — which has required systems that can understand investors’ long-term targets. These were typically centered around measures such as revenues, incomes and profits.

While high-frequency trading strategies are important, there is another factor to show that cryptocurrencies are far more challenging to predict. Much of what we see in cryptocurrency markets is driven by ‘human madness’. While AI models struggle with this today, we can expect the AI models of the future to evolve and do a better job of predicting this behavior through closely monitoring trends in media and social networks.

AI in Healthcare and Biomedical Research

The prototype of messenger RNA (mRNA) COVID-19 vaccines was developed in days thanks to the digitization tools of genetic code sequencing and the transcription tools of making mRNA from genetic code sequence. With the help of AI to predict new mutations in the Sars-Cov-2 virus, the process of developing mRNA vaccines will be even faster. AI can also be used as a diagnostic tool to read x-rays, based on the sound of someone coughing and indicate whether the patient is likely to be suffering from COVID-19 or some other illness.

In the biomedical domain, sequences of codes, such as DNA or amino acid, are commonly used. Since sequences of codes can be treated as a type of language with hidden structure, the architecture used in NLP models can be potentially used to understand and generate sequences of codes in the biomedical domain as well. One impressive example in early 2021 is that biomedical researchers used language model architecture to predict virus mutations and to understand protein folding — a key challenge in the creation of some of the vaccines now available. This finding is actually adapting the architecture of one model to solve problems in the biomedical domain.

Machine learning and AI don’t replace clinicians and researchers; they allow these professionals to work faster and rapidly test hypotheses. Instead of waiting for cell cultures to grow in the physical world, they can use these models to understand what will happen much faster in the digital simulation. As more and more people wear devices that can monitor heart rate, body temperature, blood pressure and other critical factors, the data can be used to give doctors greater insight into a patient’s condition. It also aids accuracy when making diagnoses as doctors and other clinicians are no longer reliant on patient recollections.

The Future of Education

Curricula and textbooks have typically been developed to serve large populations of ‘average’ students. These materials include content designed for a wide gamut of different abilities. However, experts, such as Sir Ken Robinson, point out that the ‘conveyor belt’ model of education doesn’t take into account the individual abilities and needs of students. Therefore, we have seen AI being used to revolutionize the way curricula is created and delivered. It can be used to provide more personalized curricula or personal problem sets for students. Instead of every student working through the same set of problems or questions, they receive a set that are customized to their specific level.

For example, a student may be very strong with fractions in mathematics, but have a problem with trigonometry. Instead of putting the student through the standard curriculum, he or she would spend less time on fractions and more time on trigonometry. As a student proceeds through a course, AI will monitor his progress and self-modify to meet the specific needs of that student.

With so much content now available online, cheating and plagiarism has become a huge issue. While detecting plagiarism is quite easy — there is already AI that can detect direct copying and similar text where just a few words or the tense are altered — there are other challenges. For example, a student may take content from one language and translate it to another. This is harder to detect, but AI is being developed to solve this problem. Similarly, image interpretation AI is being developed to find instances where arts students copy or imitate a design.

Smart Farming and Factories

Factories and farms are using data in innovative ways too. However, they differ from many other AI applications as they don’t focus on end-users. Instead, they focus on products, produce and machines. This requires an investment in sensors, robots and automation, and the optimization of operations.

The biggest development we are seeing in this area is in the generalization of findings between different areas. For example, if AI is being used to increase yields in an apple crop, can those AI models be reapplied for the growing of other fruits such as bananas or peaches? Similarly, if a factory is manufacturing LCD panels and has found ways to increase their yield rates, can those tools and lessons be applied to other manufacturing processes and factories?

Perhaps the biggest prediction we can make about AI in 2021 and beyond can be summarized in one word: leverage. Using existing AI model architecture, combining well developed models and finding ways to generalize existing models to other applications will continuously increase the impact of AI along with accelerated digital transformation across many domains. For more artificial intelligence and machine learning blog information, please refer to the Appier blog.

About Appier

Appier helps businesses solve their most challenging problems with artificial intelligence. It is a partner to some of the world’s leading brands, providing a suite of enterprise-grade products to support data-driven decisions and accelerate business growth. Established in 2012 by a passionate team of computer scientists and engineers, Appier now has more than 450 employees across 15 offices in APAC and Europe, and is recognized as a Top 50 AI company by Fortune Magazine. Appier has raised US$162 million in funding from investors including Sequoia, Softbank, and Line. Learn more at

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Editorial & Advertiser disclosureOur website provides you with information, news, press releases, Opinion and advertorials on various financial products and services. This is not to be considered as financial advice and should be considered only for information purposes. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third party websites, affiliate sales networks, and may link to our advertising partners websites. Though we are tied up with various advertising and affiliate networks, this does not affect our analysis or opinion. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you, or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish sponsored articles or links, you may consider all articles or links hosted on our site as a partner endorsed link.

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