According to Semrush, 93 per cent of marketing professionals achieve success. And as the digital world continues to shift, social media marketing continues to explode as the chief preference of companies to market their products. 

Connecting with other businesses, either in a collaborative spirit or as a case study for your digital marketing plans, and using the digital world as a business-to-business marketing platform will allow you to make better, more consistent connections. According to IMA, creating an effective plan is paramount for businesses to keep up with potential customers who are always connected to the internet and your business.

B2B marketing has undergone a seismic shift in its landscape since 2020, with COVID-19 introducing the need for new types of remote payment options and the necessity of businesses to adapt their marketing strategies to reach people almost exclusively online. 

This meant adopting mobile-centric marketing strategies for some businesses, including greater social media presence and optimising their websites for mobile navigation and purchases. According to data, 64 per cent of marketers believed mobile optimisation was a successful marketing strategy. 

The impact of digital transformation on marketing strategies

Digital transformation is a term that marketing strategists know all too well. It is introducing digital technology into every aspect of your business. Keeping up with the times is critical, and adapting your marketing strategies to suit the digital age is crucial to successfully marketing your products.

Last month, social media marketers were using Instagram Reels and TikTok the most to market their products, capitalising on the popularity of short-form video content among users and the ability to integrate social media trends into marketing their products. 

Also Read: Gushcloud’s winning formula: Navigating authenticity, innovation, and tech in influencer marketing

The use of digital platforms as marketing tools has meant that businesses are having to create YouTube channels for the first time or become more attuned to short-form videos and learning how to craft them effectively for an audience that’s keen to see, buy (or not) and move on within about 60 seconds.

Instagram emerges as a top choice for B2B marketing 

Surveys conducted by the trade show Jewel Ads indicate that among social media platforms, 47 per cent of marketing professionals now prefer Instagram as their primary method of marketing their products, with LinkedIn sitting at 40 per cent. 

In comparison, Facebook brings up the rear at only 13 per cent. As digital platforms change and morph, so do customers’ marketing plans and choices. 

Reasons behind Instagram’s popularity 

As you can see, Instagram has become a hugely successful platform for B2B marketing. But why? There are myriad factors behind Instagram’s popularity, generating more than 20 times the engagement of LinkedIn.

Volume of users 

A simple first explanation for Instagram’s popularity is that the users’ volume is much higher. Instagram has more than one billion active users per month. Almost half of Instagram’s users post to their Instagram stories each day. For a business, each active user, especially those that utilise the Story feature- is a potential customer.

Instagram users buy via Instagram 

The proof is in the proverbial pudding, with a conversion rate of nearly 75 per cent of Instagram’s users spending their money via the platform. Therefore, the marketing potential of Instagram’s Reels and posts has been proven. 

Featuring products in posts 

The ability to feature actual products in posts on Instagram makes it much easier for the end-user to click and purchase. Featuring easily shoppable products in posts leads to more web traffic and more customer purchases, with 80 per cent of users making purchasing decisions after seeing products on Instagram. 

The future of B2B marketing in the digital age 

B2B marketing in the digital age is only going to increase as the years roll on, with the role of artificial intelligence and data-driven marketing increasing throughout 2023 and beyond, including the use of chatbots and digital assistants, reducing the need for companies to hire human beings to tackle technical problems or provide helpdesk support to customers with more simple requests.

Utilising data-driven approaches for targeted marketing 

Consumer data is now more readily available than ever, thanks to AI data mining and the willingness of consumers to share their location and other information with companies when they purchase their products. This massive volume of data can finally be utilised time-sensitively with artificial intelligence. 

Also Read: Tried-and-tested marketing strategies for startups across all stages in Singapore

Using AI to data-mine allows companies to use a much more targeted marketing strategy. “Targeted marketing” generates “relatable data” from individuals’ readily available personal information and web use habits. This year 46 per cent of companies used “relatable data” for the first time. 

Removing human emotion from this part of marketing to other people allows companies to utilise facts and numbers to make better marketing decisions.

Personalisation and customisation 

Making marketing campaigns personal increases the interconnectedness between businesses and their customers. Public Service Announcements, at least those televised that we remember so vividly from the 2000s and 1990s, were so memorable because they connected with the audiences in often brutal and shocking ways. 

While you don’t have to rely on a shock factor, getting to know your audience via personalised advertisements and strategies is critical. Over 72 per cent of consumers responded better to marketing that connected them to the company or brand. 

AI and automation

As marketing continues to evolve in the digital age, the increase in AI usage will prove pivotal in a company’s scheme success or failure, with over 61 per cent of companies already using artificial intelligence and 88 per cent of companies believing they must use AI more by increasing automation to keep up with the competition and create more positive customer outcomes. 

The market is responding positively to the introduction of artificial intelligence and its potential to change the marketing game for businesses drastically. The future of all industries seems bright with the adoption of AI, including the manufacturing industry (to the tune of US$3.78 trillion by 2035), an industry typically associated with hands-on work done by people.

Based on the evidence, artificial intelligence will continue to dominate the space, giving companies a better picture of how their clients receive their campaigns. 

The need for businesses to connect with their client’s social media and go where their clients consume content is also increasing. To stay relevant and increase revenues, businesses must develop a solid social media presence and interact increasingly with their ever-connected clientele. 

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Dear Pro member,

Vietnamese EV manufacturer Vinfast’s stock surged by 21%, building on a recent rally that increased its market value to US$160bn.

Following a successful debut on Wall Street, the company’s valuation placed it as the third-most valuable automaker globally, trailing only Tesla and Toyota.

Despite its rapid growth, Vinfast, largely owned by Pham Nhat Vuong, Vietnam’s wealthiest individual, faces substantial challenges before it can effectively compete with Tesla and established automakers who are heavily investing in the electric vehicle market.

Vinfast’s US EV registrations were limited to 137 as of June, contrasting with its ambitious target of selling 50,000 EVs this year, compared to Tesla’s 1.8mn projection.

To boost sales, Vinfast is adopting a dealer-based approach, diverging from Tesla’s direct-to-consumer model, and is constructing a US$4bn factory in North Carolina.

The company enters the US and European markets amid slowing EV demand and Tesla’s aggressive pricing tactics.

This is the top story of today’s Ecosystem Roundup.

Take a look at all the other major news stories compiled from news sites across Southeast Asia.

Sainul,
Editor.

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Vinfast rallies on after becoming world’s third-most valuable automaker
Shares surged 21% on Monday, extending a rally from last week that more than quadrupled its market value to US$160B; Debuted on Wall Street this month, the EV maker quickly grew in valuation to become the third-most valuable automaker – only behind Tesla and Toyota.

Vietnamese financial services startup MFast nets US$6M Series A
The investors include Wavemaker, Finnoventure Fund I, Headline Asia, Do Ventures, JAFCO Asia, and Ascend Vietnam Ventures; MFast users fulfil the role of all-in-one agents, serving the community’s demands for finance, banking and insurance products.

Geo Energy inks US$4M loan agreement with Indonesian EV firm Charged Asia
Geo can increase its investment for up to an additional US$36M to become the majority shareholder in the firm; It has developed three motorcycle models and delivered 1,000+ motorcycles in Indonesia, Malaysia, and Vietnam.

Indonesia’s Fore Coffee set to enter Singapore in Q4
The move would follow fellow VC-funded local chain Kopi Kenangan’s own regional expansion; Kopi opened its first store in Malaysia late last year and has plans to enter Singapore.

GoTo directors acquire 1 billion shares, totaling US$140K
Neither Catherine Hindra Sutjahyo now owns 0.04% of GoTo stock, with a total of 493.7M shares purchased for US$64,766; Meanwhile, Hans Patuwo holds 0.05% of the company’s stock, equivalent to 574.8 million shares acquired for US$74,773.

Bitcoin startups remain undercapitalised as funding drought drags on
Along with increasing regulatory scrutiny and sceptical investors, capital deployment has pulled back significantly from the highs of 2021, which has left many young startups struggling to raise funds.

TikTok to ban links to external retailing platforms
This change implies that external e-commerce platforms will no longer be able to drive traffic to their individual stores and products through TikTok unless they opt to establish online stores on TikTok Shop.

Google Flights will now tell you when it’s the cheapest time to book
Rolling out this week, Google is debuting new insights that will leverage historical trend data that lets consumers see when prices have typically been lowest to their chosen destination on their selected dates.

A recap of last week’s investments by e27 Connect investors in SEA
Last week’s funding showcased prominent investors like Jungle Ventures, Antler, AppWorks, fuelling diverse startups across verticals with varying investment ranges and stages.

OpenAI launches a ChatGPT plan for enterprise customers
ChatGPT Enterprise can perform the same tasks as ChatGPT, such as writing emails, drafting essays and debugging computer code; But the new offering also adds “enterprise-grade” privacy and data analysis capabilities.

Uber Eats’s new AI chatbot to offer recommendations, speed up ordering
The chatbot will ask users about their budget, food preferences and then help them place an order; It’s unknown when Uber plans to launch the chatbot publicly.

How Tokopedia shifts user acquisition, product strategy to tackle contemporary challenges
Tokopedia recognises that for SMEs, as competition becomes fiercer, they might require more support to improve their chances.

Blockchain beyond borders: A dive into global collaboration and innovation
As we navigate the evolving world of blockchain, collaboration, education, and problem-solving, emerge as pivotal pillars for success.

How hyper-personal, AI tech can transform the US$1.5T wellness industry
The wellness industry in Singapore was worth US$12 billion and has constantly been on the lookout for hyper-personalised solutions.

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Back in 2021-2022, the Asia Pacific region was considered lagging in AI adoption, with only 39 per cent of businesses leveraging the technology for their operations. But today, in 2023, new data from the IDC AI Adoption InfoBrief revealed that 76 per cent of businesses in the region are leveraging the technology—a significant jump in such a short period.

Commissioned by Dataiku, the report showed that in Southeast Asia (SEA) alone, businesses plan on spending 67 per cent more on AI/ML in 2023 than they did in 2022.

AI is certainly a big trend this year, but is there any other explanation behind this rapid change?

According to JY Pook, Senior Vice President & General Manager, APJ at Dataiku, the AI/ML market is “rapidly democratising”. Soon, it will get to the point where it is integrated into “nearly” every interaction the customers have, a concept that Dataiku refers to as “Everyday AI.”

“Companies are progressing in their AI journeys from statistical analysis to predictive modelling and advanced AI capabilities,” he writes in an email interview with e27.

“With the macro turbulence that many businesses across the region have faced, we observed a significant acceleration in demand for analytics and AI solutions as businesses seek more efficient and data-driven ways to navigate these ongoing challenges. Instant gratification is the norm in today’s fast-paced world; we’ve endeavoured to understand the growing need for faster time-to-value from AI initiatives while also supporting the teams who drive this work.”

Also Read: How Transparently.AI uses Artificial Intelligence to detect accounting manipulation, fraud

Dataiku sees the following as keys to fully harnessing the success of AI: Efficient tools, a skilled team, and an inclusive approach to data as governance.

“With this in mind, we’ve introduced new capabilities, like ready-built business solutions, machine learning operations, governance, and access to large language models, that democratise and accelerate the development of AI capabilities in a governed way,” Pook says.

To find out more about how the organisation views this AI trend and how businesses can seamlessly implement the technology, check out the edited excerpt of the interview.

For companies that have successfully implemented AI, what are the secrets behind their success?

Integrating an effective AI strategy can be pivotal to helping companies improve customer insights, elevate employee efficiency and transform overall decision-making. By introducing a systemised, easily accessible and understandable AI system, businesses can improve their data readiness and people capabilities alongside their technology workloads and processes.

Successful companies build unicorn teams and not just hire unicorn people. This means building teams of data and domain experts while also evolving their AI operating model, which simultaneously boosts the company’s AI maturity over time.

In fact, according to the Harvard Business Review, 85 per cent of companies that have successfully scaled AI use interdisciplinary development teams.

Businesses need to think about moving AI mainstream by tapping into collective intelligence and building communities of interdisciplinary business and data professionals across the entire organisation. This arguably solves two of the biggest blocks for AI at scale – hiring people with analytics and AI skills and identifying good business cases.

Also Read: These Artificial Intelligence startups are proving to be industry game-changers

Establishing an AI governance strategy is also crucial for a company’s success. Oftentimes, teams either do not have these processes set up prior to deployment or do not have a vision to clearly move forward with the right projects that would be able to generate business value and deprecate the underperforming ones. We’ve seen that AI governance delivers end-to-end model management at scale, with a focus on risk-adjusted value delivery and efficiency in AI scale, all of which is aligned with existing regulations.

Success with this stems from teams making distinctions between proof of concepts, self-service data initiatives, industrialised data products and the governance needs surrounding each. While space needs to be given for exploration and experimentation, teams need to make clear decisions about when self-service projects or POCs should have funding, testing and assurance to become an industrialised, operationalised success.

Companies also need to pinpoint the right technologies and processes to enable the use of AI at scale. Harnessing an end-to-end platform brings cohesion across the analytics and AI project lifecycle steps. Buying separate tools for the company’s needs can become challenging and in order to get to a stage of long-term cultural transformation via an AI program, IT needs to be involved from the very beginning.

AI adoption can reveal challenges and areas for business growth – and the potential gains certainly outweigh the costs. When AI is collaborative and aligned with business objectives, it supports an open data-driven culture and improves efficiency for businesses across the board.

What opportunities are available for startups that are providing AI Solutions? How can they seize them?

Startups providing AI solutions are definitely in a favourable position, especially in APAC. In 2022 alone, 76 per cent of businesses in APJ adopted AI solutions within their ecosystems. Startups and SMEs can continue to differentiate and meet industry demands by creating innovative solutions that address specific industry challenges and pain points.

Also Read: RevComm’s MiiTel, Cloud IP phone powered by artificial intelligence, is changing how businesses engage customers

Many businesses are now also being run by second and third-generation leaders looking to modernise their legacy businesses. Startups and SMEs can tap into this by offering tailored AI solutions that automate processes, enhance decision making and optimise their operations.

Most importantly, perhaps, is making AI accessible and understandable.

Is there anything that governments can do to support businesses in their journey to embrace AI? What kind of support do they usually need?

With many governments looking to use AI within their operations and public service delivery, there are several programmes and initiatives to ensure greater access and, thus, easier adoption of AI across the region. Countries that have seen success with their AI adoption processes have been those with clear and transparent digital blueprints for businesses to model themselves after; for instance, having clear measures outlining data privacy, security, infrastructure and data sharing across sovereignty.

A clear blueprint along with investment to fund the development of AI and investment into workforce readiness will help accelerate the AI adoption process across the region.

This includes providing financial assistance and tax incentives through programmes such as the Productivity Solutions Grant and The Malaysia Artificial Intelligence (AI) Roadmap, to accelerate digital transformation, prioritising investment in sustainable and responsible business practices, and insulating their operations from macroeconomic volatility.

Also Read: Will China lead the Artificial Intelligence game by 2030?

When it comes to Government AI readiness and maturity, Singapore holds its own – leading in two out of three pillars against countries such as the US. This is a result of the Singapore government’s committed and innovative approach to digital government, paired with a business-friendly legislative environment. The nation undoubtedly serves as an example of how this pairing can breed productive public-private partnerships to support public-sector innovation.

As more businesses continue to move online, having policies that support e-commerce and digital trade will allow them to expand their reach globally and continue to contribute to APAC’s overall economic growth. At the same time, governments should continue to encourage foreign investment to help promote innovation and job creation, which will be key to steering key sectors into the next phase of growth.

Ultimately, people will always be our greatest assets. Investing in infrastructure and education will enable us to build a future-ready skilled workforce, particularly around ICT and Artificial Intelligence.

In Southeast Asia, what kind of changes do you predict we will see in the next few years when it comes to AI adoption?

I would liken the future of AI to the dawn of the internet – it completely changed how we live, work, and play. That’s what we can expect from AI and more over the next few years at a progressively faster pace.

According to the recent IDC InfoBrief commissioned by Dataiku, AI platforms are going to be the fastest-growing software category between 2022 and 2026. This growth is driven primarily through use cases across customer experiences, business process automation and industry-specific applications. There has also been a noticeable shift towards cloud computing, with over 73 per cent of AI workloads projected to be residing on the cloud by the end of 2026.

From reshaping the future of work to the impact that AI will have across industries, businesses should start looking into AI adoption if they haven’t already to ensure that they don’t get left behind, allowing the region to unlock its fullest potential with the help of AI truly.

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Image Credit: RunwayML

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Amidst the AI revolution, e27 presents a new series showcasing how organisations embrace AI in their operations.

Raunak Mehta is Co-Founder and CEO of Singapore-based insurtech firm Igloo. With a background in e-commerce and technology, Mehta previously held roles at notable companies, such as Flipkart and ZALORA Group.

He joined Igloo as its Chief Commercial Officer in 2018, leading its expansion into multiple countries and securing partnerships with entities like Lazada, Shopee, and Bukalapak. Igloo recently announced its US$19 million Series B financing round, bringing its total capital to over US$36 million.

In this edition, Mehta shares how Igloo has embraced Artificial Intelligence.

Edited excerpts:

How do you perceive the AI revolution and its potential impact on your industry and workforce?

The excitement surrounding Artificial Intelligence is unquestionably justified. When evaluating the potential of this remarkable technology, it is crucial to consider its capacity to impact many individuals. What sets AI apart is its ability to operate on a grand scale, making it readily accessible to anyone with a smartphone.

Like most other industries, insurance will significantly benefit from the AI revolution. It has emerged as a powerful technological marvel that can transform risk management, underwriting, and claims processes. Forbes reports a remarkable 60 per cent increase in operational efficiency in the insurance sector due to AI. Alongside this, claims accuracy has nearly doubled, substantially improving customer experiences.

Through AI, insurers are better equipped to assess risks, detect fraud, and improve overall accuracy and efficiency — especially with the addition of machine learning. It also helps streamline processes and create a more seamless customer experience.

In what ways has your company embraced AI technologies to improve operational efficiency or enhance business processes?

Igloo aims to make insurance affordable and accessible to all, and technologies like AI enable us to do so. For example, our platform Turbo uses AI and ML to provide agility and adaptability to our insurance management systems. Through Turbo, we can operate across multiple business lines and deliver the same products and services via different distribution channels.

Turbo also uses a no-code approach, quickening the product launch or update process. It also helps reduce errors and inconsistencies by centralising the product launch process.

Can you share specific examples of how AI has been integrated into your workforce to streamline operations or drive innovation?

Our team has developed a groundbreaking technology that harnesses the power of AI to provide protection. Through AI, we have delivered seamless customer experiences and reached a wider customer base.

Also Read: Balance AI tool benefits with end-customer needs: Jon Howard of Bud

To create fuss-free claims management, we use AI to enable customers to make claims directly through their mobile apps, thus saving waiting time and reducing complexity. For example, customers protected under our gadget protection can submit claims through their phones, needing only pictures as proof.

Through extensive training, we have empowered our system to detect cracked screens with remarkable accuracy. This innovation allowed us to reduce false claim rates by an impressive 50-60 per cent, ensuring a seamless user experience.

We also combine AI with big data and predictive analytics in our insurance products, such as auto insurance, to assess risks in real time and create end-to-end automated claims management. This allows us to implement a dynamic pricing model, ensuring no customer pays more than they deserve.

What challenges or concerns did you encounter when implementing AI technologies within your organisation, and how did you address them?

When we launched Ignite by Igloo, our AI-powered platform that helps insurance intermediaries enhance productivity and enables a faster sales cycle, there were few insurtech players in Vietnam. Agents at that time were only used to working traditionally with face-to-face transactions.

However, our perseverance in changing agent mindsets through regular training helped them keep up with new technologies and enhance their sales productivity and income.

We upgraded the platform from two products and simple features to over 20 advanced features with user experience at the heart of things. ​​From 200-300 agents at the beginning, we now have 16,000 agents nationwide who can work anywhere and sell insurance products anywhere as long as they’ve got internet access.

How do you ensure transparency and uphold ethical considerations in using AI technologies within your organisation to mitigate privacy concerns?

There are concerns about AI shaping our perceptions and perpetuating negative biases. To navigate these challenges responsibly, we must prioritise ethical considerations, ensuring diverse and unbiased training datasets. Our collective responsibility is to promote transparency, fairness, and inclusivity in AI development, harnessing its potential while mitigating negative societal impacts.

Organisations should adopt a privacy-by-design strategy, gaining informed consent from users, reducing data collection, and implementing safe data storage mechanisms to maintain transparency and uphold ethical principles in using AI technologies.

Also Read: AI must be used to enhance team members’ expertise, not to sideline them: Ravi Dodda of MoEngage

Techniques for anonymisation and de-identification can further safeguard user privacy. To overcome biases, encourage user education, and adhere to applicable regulations, regular third-party audits, open-source projects, and continuing monitoring are crucial.

How do you ensure that AI technologies complement your workforce’s existing skills and expertise rather than replacing or displacing human workers?

Our approach at Igloo is always to upskill rather than replace. We have a team of enthusiastic individuals who are always eager to try new things and embrace new working methods. We prefer to supplement our expertise with new knowledge and experiences.

How do you envision the future collaboration between humans and AI? What role do you see AI playing in augmenting human capabilities?

I am excited at the potential that AI can offer, and I expect AI to play a major role in all walks of life in the future. AI will never be a replacement but a way to augment human capabilities by taking on more data-intensive tasks and taking us beyond what’s possible. AI will be everyone’s favourite co-worker in the workplace, aiding decision-making and simplifying complex tasks.

For insurance specifically, AI can potentially transform every aspect of the industry. AI can crunch big chunks of data to provide actionable insights, leaving human agents to focus on more difficult service areas.

For example, AI has allowed insurers and insurtech firms to heighten focus on customer experience by making the purchase process simpler and safer. AI can be used to actively monitor potentially fraudulent activities by utilising past instances of fraud and detecting suspicious activity. With AI, there is the potential to use predictive analytics to study demand, implement dynamic pricing, and create new products.

Having said that, humans must still provide the creativity, empathy, ethics, and complex decision-making skills that AI lacks. There are many considerations to make before implementing AI to such an extent, namely ethics and accountability.

What advice would you give to other company founders looking to leverage AI in their workforce?

It is common for people to avoid change. Many founders in Southeast Asia tend to be averse to AI due to the many challenges that they may face while implementing it. I would advise them to conduct thorough research into AI and understand how it can be applied to their business and operations. AI provides many benefits, and it is essential to understand which ones apply to your business.

I would also advise them to upskill themselves and encourage their team to do so. AI is not a replacement but a complementary addition.

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Fundraising or preparing your startup for fundraising? Build your investor network, search from 400+ SEA investors on e27, and get connected or get insights regarding fundraising. Try e27 Pro for free today.

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Tenity has announced the selection of 13 early-stage startups for the sixth edition of its incubation programme in Singapore.

The startups from seven different countries represent diverse business verticals, including wealth management, real estate, e-commerce, financing, payments, insurance, and Web3.

They will receive an initial S$70,000 investment each from the Tenity Incubation Fund II.

The 13 startups were selected from more than 230 applications.

During the rigorous four-month programme, the startups will receive extensive support to refine and validate their business ideas and go-to-market strategies. They will also have access and guidance from Tenity’s distinguished alumni, seasoned mentors, and our global investor network.

The programme will culminate with a Demo Day event on November 23, 2023.

Also Read: AI’s distinction lies in its vast scale and accessibility: Raunak Mehta of Igloo

Below are the brief profiles of the 14 startups of Singapore Incubation Batch VI:

Alpyne Labs (India): Alpine provides on-ramp/off-ramp services for emerging markets, including India.

Ambrela.Money (India): Ambrela.Money is a wealth management marketplace that provides access to proper financial services for the growing number of middle-class families in India.

Bursement (Singapore): Bursement is a finance AI tool that helps growing tech startups automate manual finance tasks while maximizing cost efficiency and productivity.

ChainArgos (Singapore): ChainArgos is a blockchain data and analytics startup building a searchable blockchain platform. In a future where assets are tokenised, ChainArgos scales to bring transparency and make sense of blockchain transactions.

Fuelgrowth (India): Fuelgrowth aims to provide eCommerce intelligence to everyone who wants to build and grow their online businesses. Fuelgrowth is an AI CoPilot for DTC brands and founders, helping them reach their true potential.

MedAdvance (Australia): MedAdvance is an alternative medical bill financing company that lowers the burden of upfront costs for patients while improving the profitability of the clinics and doctors.

MetaCare (Philippines): MetaCare is a health & wellness marketplace providing benefits and protection plans for gig workers or SME employees at an affordable price by aggregating the negotiation power of these under-served individuals.

Mintpay (Sri Lanka): Mintpay is an alternative payment service provider that helps retail customers pay for goods on credit terms while also enjoying discounts and rewards.

Pints.ai (Singapore): Pints.ai is a verticalised AI company specialising in the financial services sector, helping financial institutions maximise the power of their aggregated data.

Pin’J (Indonesia): Pin’J is a closed-loop working capital financing company for underserved gig workers, helping them to pay for mission-critical expense categories.

P33R Finance (Singapore): P33R Finance is a DeFi, self-custody, P2P platform helping users on/offramp faster, safer, and cheaper.

SupplyLine (Bangladesh): SupplyLine offers an integrated digital tool for small retailers to manage their daily operations and inventory while accessing working capital and invoice financing opportunities to improve their operations and cash flow.

Thatch (Singapore): Thatch revolutionises renting, providing agents and tenants with a holistic tool to improve efficiency and convenience. It digitalises and streamlines every step of the rental journey with documentation, capture and payments.

Applications are now open for Incubation Batch VII in Singapore, Batch XII in Switzerland, and Batch III in Nordics.

Tenity is an innovation ecosystem for fintech and insurtech, with hubs in Switzerland, Singapore, Nordics & Baltics, and Spain. Its vision is to create the future of finance by accelerating tech startups and connecting them with big business, investors and industry experts.

Since its inception in 2015, more than 280 tech startups have participated in Tenity programmes, both at early stages and growth stages, attracting more than US$370 million in funding. Through its integrated investment arm, Tenity seeks to invest in up to 400 early-stage companies through its flagship incubation programmes.

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