I'm building an AI tool to democratise financial intelligence beyond English-dominated markets

In one line, what do you do and what is your most significant achievement?

SkyBlue FinTech Solutions (SkyBlueFS) is redefining financial intelligence by using AI to democratize market insights, investment analytics, and algorithmic trading signals in multiple languages. Since launching SkyBlue InsAIghts, we have gained paying users within days, proving the demand for fast, AI-driven financial news beyond English-dominated markets.

Who are you and what business did you start?

I am the founder of SkyBlueFS, a company that solves inefficiencies at the intersection of AI, finance, and accessibility. Financial markets move fast, yet financial intelligence is slow, fragmented, and inaccessible to millions of traders worldwide. News is cluttered, high-quality analysis is expensive, and non-English speakers remain underserved.

SkyBlueFS was created to bridge this gap, making financial insights instant, multilingual, and accessible. Our flagship product, SkyBlue InsAIghts, is an AI-powered financial intelligence platform that delivers real-time, market-moving insights across six underserved languages. SkyBlue OpenSignals provides API-driven quant signals, giving both retail and institutional traders access to hedge-fund-level algorithmic insights. SkyBlue FundLink Portal streamlines fund management and investor relations for financial institutions.

Traditional financial platforms report the news. SkyBlue Fintech interprets it, breaks it down, and makes it actionable in real time, without human bias.

What's your backstory?

My journey has always been defined by a hunger for innovation, a global mindset, and a deep-seated belief that technology can bridge gaps where traditional systems fall short. My background is rooted in algorithmic trading, AI-driven financial analytics, and global business strategy. I have worked in diverse industries, across different continents, gaining firsthand experience in how financial markets operate both at an institutional level and within emerging economies.

I started as an engineer with a strong foundation in AI and quantitative finance, working in roles that spanned from developing AI-driven automation at ST Engineering to pioneering advanced AI-powered tools for immersive learning at Uptale in Paris. During my time at Uptale, I optimized OpenAI APIs and engineered seven AI solutions for virtual reality, gaining a deep understanding of how to leverage AI at scale. Simultaneously, I studied global business strategy in Mexico, working with companies such as PepsiCo, Mars, and San Marcos to analyze international expansion strategies.

Yet, despite working on cutting-edge technologies in multiple industries, I felt a disconnect. I was solving problems for organizations, but I wanted to build something that fundamentally transformed an industry—something I could own, scale, and see through from ideation to impact. I realized that financial information, despite being the backbone of wealth creation, remained inaccessible to millions worldwide. The industry was English-dominated, filled with paywalls, fragmented data sources, and outdated distribution models that catered only to the elite.

That was my turning point. I pivoted away from being an employee, left behind the safety of a structured corporate career, and decided to build something bigger. I co-founded SkyBlue FinTech Solutions, where I could apply my technical expertise in AI and trading to democratize financial intelligence at scale.

My journey into entrepreneurship wasn’t impulsive—it was a natural evolution of my experience across industries and markets. I had seen how financial institutions operated at a macro level, how multinational corporations expanded into new markets, and how technology startups disrupted industries through AI. Now, it was time to bring those insights together and apply them to a problem worth solving.

Beyond work, I have traveled to 18 countries in a single year, immersing myself in startup ecosystems, investment landscapes, and emerging market challenges. Every trip reinforced the same realization—the financial world moves at lightning speed, but access to quality market insights remains a privilege. I didn’t want to just observe this inefficiency—I wanted to fix it.

Entrepreneurship was never just an option for me. It was the only way forward. Instead of executing someone else’s vision, I wanted to build my own—to create technology that empowers traders, institutions, and retail investors alike. I do not just talk about innovation—I execute, scale, and deliver real-world impact.

What should be the first steps to take to enter your industry?

Breaking into AI-powered financial intelligence requires more than just technical expertise—it demands a deep understanding of the pain points that traders, institutions, and retail investors face daily. Markets are fast-moving, complex, and often inaccessible, with fragmented information, language barriers, and inefficient data processing slowing down decision-making. I spent years analyzing these challenges firsthand—through algorithmic trading, fintech development, and real-world exposure to global markets—before building solutions that directly addressed these inefficiencies.

Success in this space isn’t about just having AI models or financial knowledge—it’s about marrying the two into a seamless, scalable product. That means mastering market structures, leveraging AI/ML capabilities for high-speed insights, and developing financial data pipelines that process and deliver actionable intelligence in real time.

Equally critical is understanding regulatory compliance—fintech operates in a controlled environment, where even the most innovative solutions can fail if they don’t align with legal frameworks. Many startups crumble because they lack a clear monetization and distribution strategy—in financial intelligence, value is determined by speed, accuracy, and accessibility.

Speed is everything. Markets don’t wait, and neither do opportunities. The ability to iterate fast, execute even faster, and pivot when necessary is what separates the startups that disrupt the industry from those that fade into obscurity. In AI-driven finance, those who move first define the future.

How did you spend your First 100 Days of launching your business?

Instead of waiting for a perfect product, I focused on rapid execution. SkyBlue InsAIghts was launched within months, ensuring that our AI models could generate real-time market insights immediately. Early traction was achieved through organic outreach and direct engagement with potential users. Within 24 hours, we had 32 signups without spending a dollar on advertising.

Partnerships played a crucial role in our launch. We leveraged Microsoft for Startups and the Wadhwani Liftoff accelerator program for infrastructure support, funding preparation, and go-to-market strategies. We also engaged directly with industry professionals and fintech communities to validate our business model early.

Paid subscribers began onboarding before we even started formal marketing efforts, proving that there was a strong demand for AI-driven financial insights.

Since launch, what has worked to attract and retain partnerships/customers?

Hyper-personalized AI-driven market insights have allowed us to engage traders with relevant, real-time financial updates tailored to their asset classes and risk levels. We have secured partnerships with hedge funds, brokerage platforms, and fintech startups, integrating InsAIghts into institutional workflows.

Expanding multilingual accessibility has given us a competitive edge in markets that are often ignored by traditional financial media. We have grown our audience through organic outreach in finance communities, leveraging LinkedIn, Telegram trading groups, and specialized forums to acquire users. Content marketing has been a key retention strategy, as our AI-driven insights keep users engaged and informed.

Early validation came from proving that users would pay for our product before we even launched a full-scale marketing campaign.

What has taken you from 0 to 100?

AI automation has allowed us to generate financial intelligence in real time, eliminating the delays and biases found in traditional financial reporting. Being an early mover in AI-driven multilingual market intelligence has positioned us ahead of competitors. Scaling a startup isn’t just about technology—it’s about execution, leadership, and building the right team.

We have assembled a globally distributed team across three continents, leveraging diverse market perspectives to refine our product and expand our reach. Managing talent across different time zones has taught us how to operate with agility, foster collaboration, and drive innovation despite geographical barriers.

Community-driven traction through finance networks, investor partnerships, and direct B2B sales has accelerated our adoption. Most importantly, we have built credibility by demonstrating that our AI models work—not just in theory, but in real financial markets. A global mindset, strategic execution, and relentless adaptability have been key to our success.

What is one underrated thing in your industry that business owners should start doing/using?

Localization in financial intelligence is a massive untapped opportunity. Most high-quality financial news is produced in English, leaving billions of investors underserved. There is a clear gap in the market, and SkyBlue InsAIghts is addressing it.

The fintech world still caters predominantly to English-speaking users, but the next phase of global financial intelligence will be built around multilingual, AI-driven solutions.

What was one failure you had to go through that others in your industry should look out for?

In the early days, we assumed that getting users was the hardest part of the business. Retaining them proved to be an even greater challenge.

Financial tools attract interest, but keeping users engaged requires continuous value delivery. We learned that AI-generated content needs personalization, retention strategies must be built into the product experience, and pricing structures need to be designed to incentivize long-term usage.

What platform/tools do you use for your business?

Our tech stack includes Python, MongoDB, Vue.js, Azure, OpenAI APIs, and TradingView. We use SEO, LinkedIn outreach, and targeted finance communities to grow our audience. AI automation and retrieval-augmented generation (RAG) models allow us to deliver fast, accurate market insights at scale.

How are you doing today and what does the future look like?

SkyBlue InsAIghts is live, scaling rapidly, and gaining strong user traction.

The next phase of growth will focus on expanding B2B sales to hedge funds, brokers, and investment firms. We are continuously improving our AI models to enhance personalization and deliver even more actionable insights. Geographic expansion into Asia, Latin America, and the Middle East will allow us to tap into a massive, underserved market.

Financial intelligence is evolving, and AI is at the forefront of this transformation. SkyBlue Fintech is building the future of financial analysis, making market insights faster, smarter, and more accessible than ever before.