Joint ventures (JVs) are a form of partnerships which offer startups opportunities to pool resources, share risks, and accelerate growth.

However, misaligned expectations or poorly drafted JV agreements can lead to disputes, deadlocks, or financial losses. This guide sets out the legal and operational considerations for founders exploring such a partnership.

Is JV the best structure for my company?

The main advantages of forming a JV entity include the ability to allocate legal ownership and profits based on the respective parties’ contributions, formalise roles and responsibilities, and limit liability to the assets of the JV itself. 

However, JVs can also be complex to manage, potentially leading to conflicts, loss of control, or misaligned objectives among partners. 

In contrast, unincorporated JVs or simple collaborations, often governed by a contract rather than a new legal entity, may likely offer greater flexibility and speed, making them ideal for short-term projects or when partners want to “test the waters” before committing fully. 

These arrangements typically involve less administrative burden and allow each party to retain its independence, but they also expose participants to greater personal liability and may lack the credibility or structure needed for larger-scale ventures. 

For many startups, starting with a contractual collaboration can be a measured approach to build trust and assess compatibility before formalising a deeper, more integrated joint venture.

Establishing the JV entity and structure

Once you’ve decided that setting up a JV entity is the best way forward to formalise the legal relationship with the potential partner, the next step is to choose the right legal structure to define liability, tax obligations, and governance.

The legal vehicle is usually a company which provides asset protection and clear ownership shares. 

Also Read: The startup equity mirage: Why most employees never cash in

You can define equity splits based on contributions (cash, intellectual property, or labour). For example, if Shareholder A invests US$200,000 and Partner B contributes proprietary technology, you may have to agree on the IP valuation of the said proprietary technology so that you can allocate ownership percentages transparently. 

Considerations include:

• Agreement on equity ownership and equity distribution. Parties may want to allocate equity based on contributions (cash, IP, or labor) and agree on vesting schedules (e.g., four year vesting with a one year cliff) to incentivise long-term commitment.
• Anti-dilution provisions to protect your startup’s stakes during future funding rounds.
• Engaging a corporate lawyer to draft the term sheet and shareholders agreement.

Aligning roles, duties, and decision making

Ambiguity in roles is a common catalyst for conflict. Generally, the board members of the JV entity will appoint the senior management team in the entity. We recommend parties to define roles explicitly to avoid overlaps or gaps in responsibilities. Considerations include:

• Assigning operational roles (e.g., CEO, CTO). Document these roles in the JV agreement or in respective service agreements executed by the relevant role and the JV entity.
• Implementing reserved matters list or  special majority (i.e. >75 per cent) voting for critical decisions (e.g., mergers, IP licensing).

Planning for deadlocks, exit strategies and termination

A deadlock in a joint venture occurs when partners are unable to reach an agreement on key decisions, causing the business to stall or become inoperable.

We recommend including escalation clauses before triggering exit mechanisms.  The usual process may include an internal negotiation among the disputing parties before resorting to a third party (e.g. mediation or arbitration).

Mitigating fallout strategies may include:

• Buy-sell clause (e.g. Russian Roulette clause) sets out buyout terms if a deadlock remains unresolved, founder leaves, becomes incapacitated, or breaches the agreement
• Voluntary exit clauses: Allow founders to sell their stakes after a notice period, with first-refusal rights for partners.
• Drag-along/Tag-along rights: Protect minority shareholders during acquisitions by letting them join or force a sale.
• Termination triggers: Automatically dissolve the JV if milestones (e.g., revenue targets) aren’t met within a certain agreed timeframe.

Also Read: Why VCs dislike messy cap tables in startups

Intellectual property (IP) and confidentiality

IP disputes may also derail startup partnerships. Before starting a new JV, define ownership of existing and new IP, including  whether pre-existing IP remains with original owners or transfers to the JV. Get a legal counsel to draft clear terms for joint IP ownership, licensing, or revenue-sharing from new innovations.

Considerations include:

• Retaining pre-JV IP: Specify that existing intellectual property assets (e.g. patents or trademarks) remain with their original owners.
• Where possible, avoid joint IP ownership (e.g., 50/50 splits) unless the parties can agree if the JV develops new technology, agree upfront on the revenue-sharing terms and licensing rights.

Risk mitigation and dispute resolution

Before starting a new JV, conduct due diligence on partners’ financial health, reputation, and cultural fit to avoid mismatches. Considerations include:

• Including an arbitration clause to resolve disputes efficiently without litigation.
• Due diligence: Investigate partners’ financial history, litigation records, and cultural fit.
• Insurance: Secure liability coverage for breaches or operational errors.

Final thoughts

A well drafted JV agreement balances flexibility with legal safeguards. Founders should consult a startup lawyer to tailor terms to their venture’s needs, ensuring compliance and minimising risks. By addressing these issues upfront, startups can transform joint ventures from potential liabilities into strategic new growth.

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Every startup dreams of a pipeline brimming with opportunities. But chasing the lead count instead of deal clarity is a fundamental flaw. The real growth begins not with generating more contacts, but by following the discipline of pipeline hygiene.

As someone who has drawn on decades of experience in sales and manages a 360-degree marketing agency, I’ve observed numerous trends rise and fall over the past few decades. Yet, one pitfall that remains consistently pervasive is the failure of startups to convert initial lead gen into sustainable revenue.

For instance, I have seen startups run multi-channel campaigns generating over 1,000 leads. Yet without immediate, disciplined follow-up, the final pipeline value was reduced by more than two-thirds.

It’s common for leads to pour in where dashboards indicate green marks more than red. It may signal that an organisation is going in the right direction. But that’s not where the process ends; it’s the starting point. Due to many unpredictable factors, deals are delayed, follow-ups are missed, and months of hard work go by without deriving any substantial revenue.

What many startups miss is not the acquisition of leads but following the essential process of effectively managing them.

Is chasing lead volume a hidden growth trap? 

Startups often celebrate lead volume as the ultimate sign of success. However, in my experience, chasing quantity over quality is a deceptive trap. A high volume of unqualified leads can overwhelm sales teams, dilute their focus, and significantly reduce conversion rates.

The real challenge for many startups is identifying lead quality and knowing which prospects are actually worth pursuing.

The solution to this systemic issue is a strategic shift. It begins with defining an Ideal Customer Profile (ICP), implementing robust lead scoring, and precisely segmenting the audience. This disciplined approach allows teams to concentrate their energy on the opportunities that truly matter. It is not about simply getting more leads; it’s about acquiring the right kind of leads.

For example, in some lead generation campaigns for an IT tech giant, we focused on the aspect of qualification. The team observed that in the case of high propensity leads, partners achieved a 97 per cent lead acceptance rate in one program and 95 per cent in another. This proved that proper qualification dramatically improved identification of lead quality.

Also Read: From greenwashing to green living: A guide for startups on sustainable marketing

Is pipeline hygiene your silent revenue killer? 

I see too many startups fix their top-of-funnel strategy but overlook what happens once a lead enters the system. Even well-qualified, high-potential leads are wasted if the subsequent pipeline is neglected.

It’s an observation that startups treat their Customer Relationship Management (CRM) platform as a static repository rather than a living, strategic system. This leads to stale growth, follow-ups to be inevitably missed, and revenue opportunities to vanish without being predicted.

If you are aware of this neglect happening, then it’s a major red flag. Regular pipeline audits, timely engagement, and disciplined CRM updates are not optional tasks; they are essential pillars of a high-performing sales engine.

What common mistakes are slowing your lead conversion?

Working closely with startups, I’ve noticed even the most promising ones repeat a set of high-impact mistakes that slow growth and hurt conversion.

The one solution I always suggest is to treat lead conversion as a disciplined, end-to-end process, not a series of disconnected actions. Instead, every interaction should build on the last, guiding leads smoothly toward conversion.

• Focusing on vanity metrics: Success is measured by the overall lead count, instead of the crucial metrics of conversion rate, pipeline velocity, or revenue generated.
• Ignoring nurturing as a process: Leads are treated as one-time contacts. They require a structured, nurturing strategy to mature into valuable opportunities.
• Siloed team operations: When marketing and sales teams operate independently, leads are inevitably mishandled, misqualified, or completely lost between hand-offs.
• Process gaps: A lack of structured follow-up routines or maintenance protocols invariably leads to missed deals and a stagnant pipeline.

Recognising these pitfalls is the first necessary step toward building a disciplined, high-performing revenue engine.

Also Read: AI in influencer marketing: Transforming trends and shaping the future

How to turn strategic discipline into tangible results?

The startups that treat their pipeline not as a database, but as a strategic asset see definitive, tangible results.

For example, when one of our clients was struggling with low lead engagement, we changed their client engagement strategy. We built a personalised outreach program with relevant follow-up actions based on the lead’s engagement history, segment, and expressed interest.

It took time, but with consistent performance tracking, we managed to significantly boost lead engagement and create a more predictable, high-quality pipeline for the client. We adopted multi-channel re-engagement, and with consistent communication, we successfully reactivated old pipelines and generated a new pipeline valued at over US$15 million in just two quarters.

Performance tracking is essential as it robustly measures conversion rates, pipeline velocity, and stage progression to uncover and eliminate critical bottlenecks.

The overarching rule to keep in mind is to maintain data hygiene and treat it as a core value that enables the resource desk team to regularly clean and update CRM entries, ensuring every record is accurate and actionable.

This ultimately facilitates achieving the goal of transforming leads from passive contacts into revenue-generating opportunities.

Final takeaways for a smooth and sustainable lead pipeline

Lead generation is merely the foundational step. Startups that combine smart, targeted acquisition with ruthless, disciplined pipeline management can convert opportunities more efficiently, shorten their sales cycles, and, most importantly, build predictable growth.

I’ve consistently observed that leads are only truly valuable when they are nurtured, tracked, and acted upon strategically. Startups that embrace this transformative mindset will find that the same effort invested in generating contacts can yield vastly greater, more reliable returns when paired with a clean, high-velocity pipeline.

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You’ve built something real. Your product works. Your customers are happy. Your metrics are climbing. But when you pitch US investors, something breaks down. They’re polite, they’re interested, but they don’t commit. The email threads go quiet. The follow-up calls never happen.

You assume it’s your pitch deck, your valuation, or your market size. It’s not.

US investors aren’t ignoring you because your business isn’t good enough. They’re walking away because you’re sending the wrong signals. And most founders operating outside North America have no idea they’re doing it.

I’ve spent years working with startups across Latin America, Southeast Asia, and Sub-Saharan Africa. I’ve seen brilliant founders with traction get passed over while mediocre ideas with the right signals get funded. The difference isn’t quality. It’s legibility.

Here are the three signals US investors actually look for, and why your startup keeps missing them.

Signal one: Institutional legitimacy (not just revenue)

Most founders believe that showing revenue proves legitimacy. It doesn’t. Revenue proves demand. Legitimacy proves that your organisation can absorb capital without collapsing.

US investors want to see that you’ve built systems, not just sales. They’re looking for:

• Formalised governance structures. Do you have a board? Do you hold regular meetings? Is there documentation?
• Clean financial records. Are your books audit-ready, or are they held together with spreadsheets and good intentions?
• Compliance infrastructure. Can you demonstrate that you understand and follow local regulations?
• Operational transparency. Can you show where money goes, how decisions get made, and who’s accountable?

If your business runs on informal agreements, handshake deals, and “we’ll figure it out later” financial planning, US investors see risk, not opportunity. They’re not investing in your ability to hustle. They’re investing in your ability to scale without constant firefighting.

Why you’re missing it: In many emerging markets, informal systems work better than formal ones. You’ve optimised for speed and flexibility. But to US investors, that looks like chaos waiting to happen.

How to fix it: Start documenting everything. Formalise your governance. Hold regular board meetings, even if it’s just you and two advisors. Get your books clean enough that an accountant could audit them tomorrow. Build the infrastructure before you need it, because by the time investors ask for it, it’s too late.

Also Read: Data-driven or gut-led? Why the best startups do both

Signal two: Cultural fluency (not just English fluency)

You speak English. Your pitch deck is in English. Your financials are converted to USD. But you’re still not speaking the language US investors understand.

Cultural fluency isn’t about translation. It’s about framing. US investors evaluate risk, opportunity, and credibility through a specific cultural lens. If your messaging doesn’t align with that lens, they’ll misread you, even if every word is technically correct.

Here’s what that looks like in practice:

• Payment structure. If you’re asking for payment via wire transfer to a personal account, that’s a red flag. US investors expect payments routed through recognised business banking infrastructure.
• Communication style. If your emails are overly formal, vague about next steps, or avoid direct answers, that reads as evasive, even if it’s just cultural politeness.
• Social proof. Name-dropping a local accelerator or regional award means nothing if the investor has never heard of it. You need recognisable reference points, or you need to build credibility from scratch.
• Transparency norms. In some cultures, sharing bad news or admitting problems is seen as a weakness. In the US investment culture, hiding problems is seen as dishonesty. Investors want to see that you can name risks clearly and explain how you’re managing them.

Why you’re missing it: You’ve adapted your content for a US audience, but you haven’t adapted your signals. You’re optimising for what you think investors want to hear instead of how they actually evaluate trust.

How to fix it: Study how US-based founders communicate with investors. Notice the directness, the transparency about challenges, the way they frame problems as “here’s what we’re fixing” instead of “everything is fine.” Adjust your tone to match that standard. Use payment methods that feel institutional. Build reference points that US investors recognise, or partner with people who already have that credibility.

Signal three: Exit optionality (not just growth potential)

Most founders pitch growth. US investors are betting on exits.

They don’t just want to know that your business can grow. They want to know how they’ll get their money back, multiplied. That means demonstrating that your business can either:

• Be acquired by a larger player in a market they understand, or
• Go public in a jurisdiction with functioning capital markets, or
• Generate enough cash flow to buy them out at a meaningful multiple

If your startup is growing in a market with weak M&A infrastructure, limited acquirer interest, or unstable regulatory environments, US investors see a trap. They’ll make money on paper, but they’ll never be able to extract it.

This is especially true for startups in frontier or emerging markets. You might have product-market fit, real traction, and a path to profitability. But if there’s no clear mechanism for liquidity, institutional investors will pass.

Why you’re missing it: You’re focused on building a sustainable business. That’s admirable. But US venture investors aren’t optimising for sustainability. They’re optimising for 10x returns in 7-10 years. If they can’t see the exit, they won’t take the entrance.

How to fix it: Build your exit narrative early. Identify potential acquirers in your space. Show that large regional players or multinational companies have a history of acquiring startups like yours. If M&A isn’t realistic, demonstrate that you can build a cash-generating business that could support a buyback or dividend structure. Make the exit legible, or the investment won’t happen.

Also Read: The age gap in startups: Why Southeast Asia needs both 22 year old hackers and 40 year old operators

The real problem: You’re not speaking their language

Here’s the uncomfortable truth: US investors aren’t trying to understand you. They’re trying to de-risk you.

They receive hundreds of pitches. They can’t spend weeks learning the nuances of your market, your culture, or your operating environment. So they rely on shortcuts. They look for signals they recognise. If those signals aren’t there, they move on.

That’s not fair. But it’s reality.

The startups that win US investment aren’t necessarily the best businesses. They’re the ones that make themselves legible to US investors. They speak the language. They send the right signals. They remove friction from the decision-making process.

You don’t have to change who you are or compromise your mission. But you do have to understand what game you’re playing. And right now, you’re playing a game where the rules are invisible to you, but obvious to everyone else.

What this means for your startup

If you’re serious about raising capital from US investors, stop optimising your pitch deck. Start optimising your signals.

• Formalise your governance, even if it feels like bureaucratic overhead.
• Learn how US investors evaluate trust, and adjust your messaging accordingly.
• Build a clear, credible exit narrative, or be prepared to fund your growth differently.

The gap between “good business” and “investable business” isn’t quality. It’s legibility. And legibility is a skill you can learn.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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Shadow AI is emerging as the most pressing cybersecurity risk 2026 will bring, overtaking ransomware and phishing as the primary driver of sensitive data exposure. As organisations accelerate AI adoption, employees are increasingly turning to unauthorised or unmonitored AI tools to boost productivity, often without understanding the security consequences. The result is a growing blind spot that security teams are struggling to contain.

“Shadow AI is projected to become the top source of sensitive data exposure in 2026,” said Findlay Whitelaw, security researcher and strategist at Exabeam. He likened the phenomenon to the early days of USB drives, which once triggered widespread data leaks before governance caught up. “Just as USB drives created large-scale data loss events, Shadow AI is becoming the next major epidemic for organisations.”

The issue is not malicious intent. Employees are often inputting confidential customer data, source code, or internal documents into external AI chatbots simply to work faster. However, once sensitive data leaves controlled systems, organisations lose visibility and control over how that information is stored, processed, or reused.

This makes Shadow AI a defining cybersecurity risk 2026 leaders cannot afford to ignore. As AI tools proliferate, outright bans are proving ineffective. Instead, organisations need to rethink governance models to enable AI use safely rather than driving it underground.

“Organisations must move from blanket restrictions to safe AI enablement frameworks,” Whitelaw said.

Also Read: Leading the pivot: Transforming B2B marketing in the age of AI

He pointed to AI gateways and data loss prevention systems designed specifically for generative AI as critical controls. These tools allow security teams to monitor how AI is used, restrict sensitive inputs, and reduce the risk of inadvertent data leakage without stifling innovation.

Yet Shadow AI is only one side of a broader shift reshaping the threat landscape. Alongside unauthorised tools, AI agents are redefining what insider risk looks like across Asia Pacific and Japan (APJ), adding further complexity to the cybersecurity risk 2026 scenario.

“The agentic era is here,” said Gareth Cox, vice president for APJ at Exabeam. Citing IDC research, Cox noted that 40 per cent of APJ organisations already use AI agents, with more than half planning to implement them within the next year. These agents operate autonomously, often with wide-ranging privileges, allowing them to act at machine speed and scale.

As a result, insider risk is no longer limited to rogue employees or compromised credentials. “Insider threats now include AI agents that can bypass traditional security oversight and amplify data exposure,” Cox said.

He explained that organisations are facing new categories of risk, from malfunctioning agents behaving unpredictably to misaligned agents following flawed prompts into compliance or privacy violations.

Exabeam’s research underscores the urgency. According to the company, 75 per cent of APJ cybersecurity professionals believe AI is making insider threats more effective, while 69 per cent expect insider incidents to rise in the next year. These findings suggest that insider risk is accelerating faster than traditional security controls can adapt, making it a central pillar of the cybersecurity risk 2026 outlook.

Despite this, many organisations remain unprepared. Cox said most lack clear frameworks for managing AI agents and rely on security tools that cannot capture the behaviour patterns or decision-making processes of autonomous systems. “That creates blind spots where AI agents can act outside their intended purpose without detection,” he said.

Also Read: Dancing through data: What can AI-powered insights into my own music tastes reveal?

Addressing this challenge requires clearer operational boundaries and better visibility. Organisations must define how AI agents are allowed to operate and adopt solutions capable of monitoring unusual agent behaviour in real time. Exabeam, for example, baselines both human and AI activity to surface anomalies, enabling security teams to understand whether actions represent legitimate automation or potential misuse.

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Enterprise Resource Planning (ERP) software is a comprehensive suite of integrated applications designed to streamline and automate core business processes. From finance and human resources to supply chain and customer relationship management, ERP systems provide a unified platform that enhances efficiency, reduces redundancy, and enables data-driven decision-making. In today’s competitive environment, ERP software is no longer a luxury but a necessity for businesses seeking scalability and operational excellence.

Unique requirement of ERP software in Singapore

Singapore’s business ecosystem is unique, characterized by its highly globalized economy, stringent compliance standards, and emphasis on digital transformation. ERP solutions in Singapore must cater to:

• Regulatory compliance with local tax laws, GST, and employment regulations.
• Multilingual and multi-currency support to serve regional and international operations.
• Scalability for SMEs and large enterprises alike, given Singapore’s diverse business landscape.
• Cloud readiness to align with the nation’s Smart Nation initiative.

Benefits of using ERP software for business in Singapore

Implementing ERP software offers several advantages for Singaporean businesses:

• Operational efficiency: Automates repetitive tasks and integrates workflows.
• Regulatory compliance: Ensures adherence to Singapore’s strict financial and employment laws.
• Data-driven insights: Provides real-time analytics for strategic decision-making.
• Scalability: Supports business growth across Southeast Asia and beyond.
• Enhanced collaboration: Breaks down silos between departments, fostering transparency and accountability.

Also read: Why Singapore manufacturers must embrace MES for the future

Top 10 ERP software in Singapore

Below is a curated list of the top 10 ERP solutions in Singapore, with Multiable and Chillaccount leading the pack. Each vendor is evaluated with three pros and three cons.

Also read: How the top 10 best HR systems in Singapore reveal the new standards for HR technology

Criteria for our evaluation of ERP system

Our evaluation framework for ERP systems includes:

• Scalability: Ability to support business growth.
• Compliance: Alignment with Singapore’s regulatory environment.
• Integration: Seamless connectivity across departments and third-party applications.
• User experience: Ease of use and accessibility.
• Cost-effectiveness: Transparent pricing and long-term value.

Why we write this analysis

PRbyAI aims to provide updated market insights using our team’s technical expertise. This analysis is designed to help B2B customers, especially non-technical decision-makers, make informed choices about ERP solutions in Singapore. By breaking down complex technology into digestible insights, we empower businesses to navigate digital transformation with confidence.

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About PRbyAI

PRbyAI is a tech-driven Martech startup focused on delivering AI-powered insights for businesses. Our mission is to bridge the gap between technology and decision-making, ensuring enterprises stay ahead in a rapidly evolving digital landscape.

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