Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(8)

Customer Journey(17)

Design(43)

Solar Industry(8)

User Experience(66)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(29)

Technology Modernization(7)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(57)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(143)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(19)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

From Mom & Pop to IPO: Revenue-Based Financing – The Superpower for Startups

Gone are the days when securing funding meant navigating a labyrinth of paperwork and traditional financial hurdles. A new breed of financial technology platforms is emerging, wielding the power of data to unlock growth for innovative startups. This article delves into the heart of these platforms, exploring the cutting-edge technologies that are fueling a financing revolution: Revenue-Based Financing (RBF).

Breaking the Funding Barrier

Early-stage companies often face a critical roadblock: securing capital. Traditional methods frequently demand a rock-solid credit history or collateral – luxuries many startups simply don’t have. RBF platforms offer a refreshing alternative, allowing businesses to access capital based on their projected future revenue streams. This empowers companies with high-growth potential to scale their operations without sacrificing ownership or drowning in debt.

The Powerhouse: Core Technologies

RBF platforms are more than just financial middlemen. They are evolving into intricate technological ecosystems that leverage sophisticated solutions to make informed funding decisions. Here’s a glimpse into the key technologies driving this transformation:

Fortifying the Foundation: Secure Data Infrastructure

Solid data infrastructure forms the backbone of RBF platforms. Secure cloud storage solutions ensure scalability and information security. Data pipelines seamlessly collect information from various sources, like accounting software, payment gateways, and CRM systems. Additionally, API integrations enable real-time access to financial data for a comprehensive view.

Fueling Decisions: Analytics and Machine Learning

At the heart of these platforms lies a powerful duo: data warehousing and machine learning (ML). Data warehouses consolidate information from various sources, providing a holistic picture of a company’s financial health and growth trajectory. Advanced ML algorithms then analyze historical data, customer behavior patterns, and market trends to predict a company’s future revenue with remarkable accuracy. Risk assessment engines, powered by this analysis, calculate the probability of successful repayment, allowing platforms to make informed funding decisions and establish appropriate terms.

Streamlining the Process: Automation and Security

Traditional financing processes are often time-consuming and cumbersome. RBF platforms leverage automation to streamline workflows. Automated underwriting analyzes data and generates funding offers swiftly, expediting capital access for startups. Secure digital contracts and e-signatures ensure clear communication of terms and accelerate the funding cycle. Furthermore, integration with secure payment gateways ensures efficient and transparent repayment collection.

The Evolving Landscape

The RBF technology landscape is constantly in flux. Emerging technologies like artificial intelligence (AI) and natural language processing (NLP) have the potential to further refine risk assessment and improve funding predictions. Additionally, blockchain technology could enhance data security and transparency within the platform.

Empowering Innovation

As data-driven RBF platforms reshape the startup funding landscape, a new era of growth beckons. By harnessing the power of these platforms, innovative startups can secure the capital needed to thrive in the ever-evolving business world.

Contact Mantra Labs today to learn more about our RBF platform digital transformation playbook and how we can help you achieve optimal performance

Cancel

Knowledge thats worth delivered in your inbox

Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

By :

Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot