Egyptian fintech Blnk has secured a combined $37.1 million funding package, marking another significant step in the company’s growth journey. The financing consists of $12.5 million in Series A equity funding and $24.6 million in local debt financing, according to the company’s announcement on June 8.

The equity round was led by Algebra Ventures and included participation from the SANAD Fund for MSME, Endeavor Catalyst, and Emirates International Investment Company (EIIC). The debt financing involved several Egyptian financial institutions, including Suez Canal Bank, Bank Albaraka, National Bank of Egypt, Corplease, Globalcorp, and BM Lease.

Building Consumer Credit at the Point of Sale

Founded in 2021, Blnk focuses on point-of-sale financing, allowing consumers to access credit directly when making purchases. Using AI-based risk analysis technology, the company enables customers to receive financing decisions within minutes and repay purchases over periods ranging from 6 to 36 months.

The model addresses a common challenge across many emerging markets: access to credit for consumers who may not have extensive banking histories. According to Blnk, 75% of its users were previously unbanked or underbanked, while more than 35% are women.

Growth Backed by Market Demand

Blnk reports that it has surpassed one million customers and built a loan portfolio exceeding one billion Egyptian pounds. The company also stated that it achieved profitability in 2025 while recording revenue growth of 173%.

Those figures come against the backdrop of a rapidly expanding consumer finance sector in Egypt. Data from the Egyptian Financial Regulatory Authority (FRA) shows that the market reached 96.3 billion Egyptian pounds in 2025, representing year-on-year growth of 57.1%.

The combination of strong market growth and increasing demand for alternative credit solutions has created opportunities for fintech providers focused on underserved customer segments.

What’s Next for Blnk?

The newly raised capital will support several strategic initiatives. Blnk plans to strengthen its technology capabilities, expand its product portfolio, launch a credit card program, and explore opportunities beyond the Egyptian market.

The move suggests the company is looking to evolve from a single-product financing provider into a broader consumer financial services platform while continuing to build on its position in Egypt’s growing fintech ecosystem.

Key Takeaways

• Blnk raised a total of $37.1 million through equity and debt financing.
  
  
• The company focuses on AI-powered point-of-sale financing.
  
  
• Blnk reports serving more than one million customers.
  
  
• The company achieved profitability in 2025 and reported 173% revenue growth.
  
  
• Egypt’s consumer finance market grew 57.1% year-on-year to 96.3 billion Egyptian pounds.
  
  
• The new funding will support product expansion, technology development, and international growth plans.

Whether you’re raising capital, expanding into new markets, or refining your fintech growth strategy, YFS helps fintech founders and leadership teams navigate the next stage of growth. Get in touch.

Flutterwave recently announced that it has processed more than 1 billion transactions and over $40 billion in payment volume. The company also supports payments in more than 50 currencies and continues to expand across African and international markets.

Those numbers matter, but they are not the most interesting part of the story.

The real signal is in what is driving that growth.

Local payment methods are doing more of the heavy lifting

Flutterwave reported that wallet collection volume grew by 289% while bank transfer value increased by 184%. That shift is important. It shows that growth is increasingly coming from local payment methods rather than cards alone.

Africa has never really been a single-rail payments market. Bank transfers, mobile wallets, and account-based payments are often more relevant than cards, depending on the country. The complexity is not a side effect. It is the market structure.

Flutterwave’s original idea was to abstract that complexity away. One integration, multiple countries, multiple payment methods. That model is now being tested at scale.

The platform is expanding its financial surface area

Alongside the transaction milestone, Flutterwave has expanded what sits around its core payments infrastructure.

The company secured a Nigerian microfinance banking license, which allows it to offer accounts, hold customer funds, and operate closer to regulated banking services. It also acquired Mono, an open banking infrastructure provider, strengthening its access to bank account data and account-to-account payment capabilities.

These moves extend what Flutterwave can do inside its own ecosystem. Payments on one side, account access and financial data on the other, and a regulated structure underneath.

What the milestone actually tells us

The 1 billion transaction figure is not just about scale. It reflects a system that is increasingly multi-rail.

Wallets, bank transfers, and local payment methods are now driving meaningful volume. Cards are part of the mix, but no longer the defining layer.

At the same time, Flutterwave is building infrastructure to operate across that complexity. The direction of travel is clear. The company is moving closer to being a full financial operating layer for cross-border commerce in Africa.

Key takeaways for fintech startups

• Payment infrastructure in Africa is increasingly driven by multiple local rails, not card dominance
  
  
• Wallets and bank transfers are growing faster than traditional card-based payment flows
  
  
• Regulatory licenses can materially expand what a payments company can build and control
  
  
• Open banking infrastructure is becoming a core dependency for account-to-account payment systems
  
  
• Scale in payments is increasingly defined by rail diversity rather than transaction volume alone
  
  
• The boundary between payment processors and financial infrastructure platforms is dissolving

Flutterwave’s numbers show scale. Its infrastructure choices show direction. For fintech builders, the second part is often the more important signal.

If you are building in fintech and thinking about scale, positioning, or partnerships, feel free to reach out. We are happy to help.

Fonoa’s $110M funding round and the acquisition of PwC’s Indirect Tax Edge are not separate milestones. They point to the same underlying shift in enterprise tax infrastructure: indirect tax is moving from fragmented tooling to connected, real-time systems.

For years, tax technology evolved in layers rather than systems. Each new regulatory requirement produced another point solution. The result is a stack that works locally, but struggles globally and in real time. That gap is now becoming structural rather than operational.

Tax complexity has outgrown traditional stacks

Indirect tax has shifted into a high-frequency compliance environment. Real-time e-invoicing, transaction-level reporting, and continuous audit expectations are now standard across major markets. These are not future requirements. They are already embedded in the largest economies.

Most enterprise tax environments were not designed for this pace. They rely on a combination of systems that were never intended to operate as a single infrastructure layer. Data is often fragmented across tools, jurisdictions, and workflows, which forces teams into constant reconciliation work.

That reconciliation is not just inefficient. It is also where risk concentrates. When data lineage is broken, audit readiness becomes reactive instead of embedded.

A shift from tools to a unified platform

Fonoa’s approach is built on a different assumption: indirect tax only works at global scale if the data model is unified from end to end.

Tax ID validation, determination, e-invoicing, and returns are connected through a shared platform and a consistent data structure. Instead of reconciling across systems, tax teams operate on a single source of truth where every transaction can be traced back to its origin.

This changes how compliance work is executed. Reporting becomes a byproduct of structured data rather than a separate process. Controversy resolution moves from reconstruction to direct traceability.

Expanding into autonomous compliance intelligence

The new funding is directed toward deepening the intelligence layer on top of this infrastructure. The focus is on embedding AI into compliance workflows where volume and speed exceed human capacity.

Tools like Fonoa Knowledge reflect this direction, continuously tracking regulatory changes and aligning them to customer-specific contexts. The objective is not automation for its own sake, but reducing the cognitive load on tax teams while maintaining control and auditability.

Bringing periodic and real-time compliance together

The acquisition of PwC’s Indirect Tax Edge extends this model into enterprise environments that already run established compliance systems. Edge is widely used for periodic indirect tax compliance across large organizations.

The structural limitation in many of these environments is the separation between periodic reporting and real-time obligations. As regulatory regimes converge toward continuous reporting, that separation becomes increasingly difficult to maintain.

Integrating Edge into Fonoa’s platform connects these two layers. Customers retain their established compliance processes while gaining access to real-time reporting, e-invoicing, and unified data lineage within the same infrastructure.

Key takeaways for fintech startups

• Indirect tax is shifting from periodic compliance to real-time, transaction-level reporting
  
  
• Fragmented point solutions create hidden risk through broken data lineage
  
  
• Unified data models reduce reconciliation work and improve audit readiness
  
  
• AI in compliance is moving toward augmentation, not replacement of tax teams
  
  
• Platform consolidation is becoming a structural response to regulatory complexity

At Your Fintech Story, we help fintech and infrastructure companies translate complex shifts like this into clear strategy, positioning, and growth narratives that resonate with investors, customers, and enterprise buyers. Let us know if you need any help.

Chexy, a Canadian fintech founded in 2023, has raised a $14 million CAD Series A round to expand beyond its original focus on rent-based credit card rewards. The round was led by Khosla Ventures, with participation from returning investors including Crossbeam, Venrex, and Air Canada through its Aeroplan partnership.

The company began with a narrow but compelling idea: allow tenants to pay rent using credit cards, enabling them to earn points or cashback on one of their largest monthly expenses. Chexy handles bill and rent payments on behalf of users, who then settle the amount via credit card. The model effectively turns recurring household expenses into rewards-generating transactions.

Now, the company is widening its scope. The stated goal is to evolve into a broader payments platform that supports everyday financial activity, including household bills and eventually business payments.

Scaling into a financial hub for households and SMBs

Chexy’s next phase is centered on building what it describes as a “financial hub for households.” That includes expanding its ability to help users pay and track a wider range of expenses, while deepening its partnerships across Canada.

A notable development is growing demand from small and medium-sized businesses. Initially unplanned, SMB usage emerged after Chexy’s Aeroplan partnership and has since become a strategic focus. Businesses are now using the platform for payroll, taxes, and vendor payments, alongside the ability to earn rewards on spending.

The company is now adapting its product roadmap to support this segment more deliberately, expanding capabilities over the coming months.

Growth metrics and market positioning

Chexy reports strong traction, with over 200,000 users nationwide and more than $35 million in rewards and cashback generated since launch. The platform is processing over $1 billion in annualized payment volume and is on track to exceed $2 billion in monthly payments in the near term.

The company has also scaled its team to 32 employees in Toronto, with further hiring planned across product, engineering, growth, and operations.

Despite investor backing from Silicon Valley, Chexy remains Canadian-controlled and has no immediate plans to enter the US market. Khosla Ventures has publicly expressed confidence in the company’s potential to reshape the payments category.

Key takeaways for fintech startups

• Expansion often emerges from usage patterns, not only original product design
  
  
• Reward mechanics can be a strong entry point into deeper payments infrastructure
  
  
• SMB adoption can surface organically from consumer-focused payment rails
  
  
• Scaling payments platforms requires both infrastructure depth and partnership strategy
  
  
• Staying geographically focused can still support meaningful scale if execution is strong

If you’re building in fintech and exploring how to move from a single-use case into a scalable payments ecosystem, Your Fintech Story helps founders refine strategy, positioning, and growth execution. Get in touch.

Few industries have absorbed more investment in technology than banking, yet many core operations still rely on manual processes. For customers, that shows up as friction in onboarding, payments, disputes, or lending journeys. For institutions, it translates into rising operational cost, compliance overhead, and slow execution at scale.

Even digital-first banks that were designed to remove legacy inefficiencies eventually encounter the same constraint: operational complexity grows faster than the systems built to manage it. At scale, customer operations, compliance workflows, and back-office tasks become the dominant workload.

Gradient Labs expands its Series A to accelerate autonomous banking

Gradient Labs has increased its Series A to $26 million, led by Octopus Ventures and CommerzVentures, with participation from existing investors including Redpoint Ventures and Exceptional Capital. The company is focused on putting customer operations in financial services on auto-pilot across the US and Europe.

The funding is positioned to accelerate the development of what the company describes as an operating layer for autonomous banking, where regulated processes are executed by AI agents rather than distributed human workflows.

From vertical AI to regulated automation systems

The company’s core bet is that financial services cannot be meaningfully transformed by general-purpose AI alone. Instead, it requires domain-specific systems designed around regulated workflows.

Gradient Labs has built a suite of specialist AI agents, each designed for a specific operational domain. These include lending workflows, disputes handling, and KYB processes. Rather than functioning as isolated tools, the agents operate as a connected system, sharing context and handing off tasks across customer journeys.

This structure is designed to reflect how financial operations actually work in practice, where a single customer interaction often spans multiple departments and compliance steps.

Compliance-first automation at scale

A defining feature of Gradient Labs’ approach is embedding regulatory logic directly into each agent. Guardrails, testing scenarios, and compliance requirements such as FCA Consumer Duty and EU AI Act considerations are integrated into the system design rather than layered on top.

The company also runs AI systems across multiple customer channels, including voice, which remains one of the most complex environments for regulated automation. This is positioned as part of its broader goal to move from AI-assisted workflows to fully autonomous execution.

Early results and enterprise adoption

Gradient Labs reports strong operational metrics across deployments, including high customer satisfaction scores and resolution rates, alongside reach across tens of millions of end users. Its customer base includes both European and US fintechs and neobanks operating at scale.

The company also introduces a deployment guarantee model, where scoped use cases are financially backed by performance commitments, signalling confidence in both reliability and compliance outcomes.

Key takeaways for fintech startups

Before summarising, it is worth highlighting what this signals for teams building in regulated financial infrastructure:

• Vertical AI is moving from task automation to end-to-end operational ownership
  
  
• Compliance is becoming a system-level design requirement, not an overlay
  
  
• Multi-agent architectures are emerging as a model for complex financial workflows
  
  
• Voice and multi-channel automation remain the hardest but most strategic layer
  
  
• Enterprise adoption depends on measurable outcomes, not experimental capability

If you are building in fintech and exploring how AI can reshape operations, strategy, or customer experience, reach out. Your Fintech Story helps teams translate complexity into scalable execution models.

Paypercut has raised a €5 million seed round to expand its payments platform across Central and Eastern Europe (CEE), signalling continued investor confidence in one of Europe’s more operationally complex fintech regions. The round was co-led by Concentric, Passion Capital, and Araya Ventures, with participation from multiple venture investors and payments entrepreneur Matt Doka, bringing total funding to €7 million.

The funding arrives at a time when merchants operating across CEE continue to face fragmented payment systems, local market nuances, and cross-border settlement challenges. Paypercut’s ambition is clear: simplify payments infrastructure for merchants through a single integration that accommodates the realities of doing business across multiple CEE markets.

From BNPL Aggregator to Full Payments Platform

Since its €2 million pre-seed round in 2025, Paypercut has evolved from a Buy Now, Pay Later (BNPL) aggregator into a broader payments platform serving more than 200 merchants across eight CEE countries.

Its offering includes card payments, local payment methods, multiple BNPL options, payment links, QR code payments, billing management, payouts, and multi-currency settlements from a single dashboard. Importantly, the company positions itself around reducing onboarding friction by compressing merchant setup timelines from weeks to days through a fully digital process.

This reflects a broader trend in fintech: infrastructure providers increasingly winning by removing operational friction rather than adding more features.

What Comes Next for Paypercut

Paypercut plans to use the new capital to deepen market expansion, invest in product development, and support its EMI licence application with the Central Bank of Ireland, with authorisation expected in Q4 2026.

In parallel, the company is preparing to launch Express Checkout, a product designed to reduce mobile checkout abandonment through one-tap payments using Apple Pay and Google Pay with biometric authentication. Beyond merchant acceptance, Paypercut is also developing stablecoin rails for selected CEE cross-border corridors, beginning with EUR-to-PLN and EUR-to-RON settlements.

The move suggests Paypercut is positioning itself not only as a payments acceptance provider, but as a broader money movement infrastructure player for the region.

Before wrapping up, here are several lessons fintech founders may take from this story.

Key takeaways for fintech startups

• Solving regional complexity can create strong market differentiation
  
  
• Reducing operational friction often matters as much as launching new features
  
  
• Infrastructure-focused fintechs benefit from solving practical merchant pain points
  
  
• Expanding from one use case into a broader platform can strengthen market positioning

At Your Fintech Story, we help fintech startups shape growth strategies, sharpen positioning, and turn complexity into clear business momentum. If you are building in fintech and need support with strategy, business planning, or marketing, contact us. We are here to help.

If you have ever dealt with cross-border payments as a business, you already know the feeling. Currency swings can quietly eat margins while finance teams juggle payments, banking tools, spreadsheets, treasury systems, and whatever else someone added five years ago and forgot to replace.

That is the problem TransferMate is trying to clean up with its new FX Hedging product.

The company has launched a risk management layer designed to help businesses manage foreign exchange volatility and get more certainty over international cash flow. In plain English, fewer nasty surprises when exchange rates move at exactly the wrong moment. The new product adds capabilities such as FX forwards, spot FX, receivables, virtual accounts, and multi-drawdown hedging into the company’s broader infrastructure platform.

Why This Matters Right Now

Cross-border business has become more complicated, not less. Companies paying suppliers abroad or managing procurement in different currencies are dealing with exchange-rate swings that can change costs quickly. A deal that looked reasonable a few months ago can suddenly look expensive after a sharp currency move.

At the same time, many organisations still manage FX, payments, receivables, and treasury activities across disconnected systems. That setup tends to create blind spots, more manual work, and less certainty over what is actually happening across international cash flow.

TransferMate’s pitch is fairly simple: bring more of these functions into one place. Rather than jumping between providers and systems, businesses can manage payments, hedging, receivables, and multi-currency workflows within a single infrastructure layer.

One feature that stands out is FX forwards. For companies managing predictable international obligations, locking in exchange rates ahead of time can make budgeting and procurement planning less stressful. Nobody likes finding out that currency volatility quietly inflated costs halfway through a project.

A Bigger Infrastructure Play

This launch also feels like part of a broader product story. TransferMate has been gradually expanding beyond payments into wider financial infrastructure capabilities. Its recent partnership with stablecoin infrastructure provider BVNK points in a similar direction, giving businesses more flexibility in how international settlement happens.

The bigger theme here is consolidation. Businesses increasingly want fewer disconnected systems, clearer visibility, and simpler workflows when money moves across borders. Faster payments matter, of course, but predictability matters too.

TransferMate is first rolling out these new risk management capabilities to brokers through a white-labelled experience, allowing them to offer FX, payments, and receivables under their own brand while keeping ownership of customer relationships.

Key takeaways for fintech startups

There are a few interesting signals for fintech founders watching this space:

• Payments alone are becoming harder to differentiate. Risk management and treasury features are increasingly bundled into broader financial infrastructure offerings.
  
  
• Customers want fewer systems, not more. Simplicity becomes valuable very quickly once international money movement gets messy.
  
  
• Embedded finance continues moving deeper into operational workflows, especially in B2B where predictability often matters as much as speed.

Need help turning fintech complexity into clear content your audience actually wants to read? Reach out or Contact us.

AI adoption across financial services is accelerating, but a growing number of firms are discovering that model performance depends heavily on the quality of the underlying data. This shift is shaping how investors approach AI implementation, particularly in high-stakes workflows such as valuation, earnings analysis, portfolio modeling, and investment research.

Against this backdrop, Daloopa has announced a $47 million Series C funding round led by Brighton Park Capital, with participation from Squarepoint Capital, Touring Capital, and Nexus Venture Partners. The company plans to use the funding to expand its platform, scale teams across engineering and product, and support go-to-market growth as more financial institutions operationalize AI.

Moving Beyond AI Experimentation

Many firms have spent the last two years testing AI tools internally. The challenge now is moving from experimentation to production environments where outputs must be reliable, auditable, and consistent.

In finance, even relatively small data inconsistencies such as mismatched fiscal calendars or inconsistent metric definitions can materially influence analysis and decision-making. Traditional workflows have historically relied on analysts manually extracting and validating data from company filings, a process that is both time-intensive and vulnerable to error.

Daloopa aims to solve this challenge by providing structured, source-linked financial datasets designed for AI and analyst workflows. The platform covers more than 5,500 public companies globally and links each datapoint back to its original source, improving traceability and confidence in outputs.

The Infrastructure Layer Behind AI-Driven Finance

The company has recently expanded integrations across the AI ecosystem, including connectors for widely used AI tools, API access, and cloud-native delivery capabilities. According to Daloopa, structured and auditable financial data can significantly improve AI agent accuracy compared to web-sourced retrieval methods.

The broader takeaway for fintech and investment firms is increasingly clear: competitive advantage in AI may depend less on access to models and more on access to trusted, standardized data infrastructure.

Before making strategic AI investments, fintech leaders should consider a fundamental question: can their systems explain where every output came from?

To fintech founders and operators, there are several lessons worth paying attention to.

Key takeaways for fintech startups

• Reliable, auditable data is becoming a competitive differentiator in AI-enabled finance
  
  
• Moving AI into production requires stronger governance and traceability standards
  
  
• Infrastructure providers that improve data quality may capture outsized value as adoption grows
  
  
• Automation in finance still depends on human trust in outputs and source validation

At Your Fintech Story, we help fintech startups turn market shifts into practical growth and product strategies that scale. Reach out.

Fintech funding stories often come with giant promises about reinventing banking. Saris feels more grounded.

The company has raised $28.8m in a Series A round led by 8VC to expand software built for banks and credit unions. Its focus is not customer-facing apps or shiny interfaces. Instead, Saris works on the operational side of finance: lending workflows, compliance checks, document verification, and the repeated processes that quietly slow teams down.

Why this matters

The pitch is fairly simple. Banks already have people, systems, and processes. Saris says its software fits into that reality and works alongside staff, with human oversight, to speed up repetitive work rather than force institutions into major operational change.

That matters because many financial institutions are stuck in an awkward middle ground. Customers expect faster service, regulators still expect precision, and hiring more people is expensive. Meanwhile, back-office teams still spend hours on manual reviews and verification tasks.

A practical AI story

Saris claims its software can shorten tasks from hours to minutes, automate up to 70% of work across consumer, mortgage, and commercial lending, and reduce costs by as much as 35%.

Those are ambitious numbers. Still, this is the kind of pitch many financial institutions want to hear right now: faster execution, more output, and fewer operational bottlenecks without adding headcount.

The new funding will help Saris expand adoption among financial institutions, deepen integrations with partners including Fiserv, Encompass, and MeridianLink, and grow implementation and training teams.

Key takeaways for fintech startups

• Operational pain points still attract funding. Lending operations, compliance, and document handling may sit far from the customer experience, but they create real costs and friction for financial institutions.
  
  
• Distribution matters. Saris is growing through integrations with existing financial infrastructure instead of asking institutions to rebuild workflows from scratch.
  
  
• AI messaging works better when it feels practical. Helping teams do more with oversight is easier to trust than promises of replacing people.

Need help turning fintech trends into sharper positioning, content, or growth ideas? Contact us.

DeepTree has raised €2 million in a seed round led by CDP Venture Capital, alongside international strategic private investors. The funding will support product development, hiring, and the company’s first international expansion phase.

Founded in Milan in 2024 by Lorenzo Ferretti and Claudio Arione, DeepTree is building an AI-native intelligence workspace for private markets. The platform aggregates financial filings, ownership data, and M&A activity into a single natural-language interface designed for deal professionals.

More than 100 clients already use the platform, including investment banks, private equity funds, M&A boutiques, and wealth managers.

Turning fragmented private markets data into usable intelligence

Private markets research is still fragmented across multiple tools, databases, and manual workflows. DeepTree’s approach is to consolidate this complexity into one interface where users can search, screen, and analyse companies using natural language.

The aim is to reduce time spent on research-heavy tasks such as target screening, buyer list creation, and competitive analysis. Instead of switching between systems, users interact with structured financial intelligence in one place.

This positions DeepTree in a growing category of AI-native infrastructure tools focused on workflow transformation rather than standalone analytics.

Early traction with financial institutions

DeepTree’s early customer base reflects its positioning in professional deal environments. The platform is already used by over 100 clients across investment banking, private equity, and advisory firms.

These users rely on speed and accuracy when identifying targets and evaluating companies. DeepTree integrates multiple datasets into a unified view, allowing teams to move faster during deal origination and execution workflows.

€2M to scale product, team, and international footprint

The new capital will be deployed across three main areas

Product development, including deeper coverage of European jurisdictions and new intelligence modules for portfolio monitoring and buyer discovery
Team expansion from 14 to around 20 employees
International expansion with a planned London office opening in the second half of 2026

London remains one of Europe’s most active hubs for investment banking and private equity, making it a strategic entry point for expansion.

Why private markets intelligence is becoming an AI battleground

Private markets continue to expand in scale and complexity, increasing demand for better tooling across deal workflows. The challenge is not lack of data, but fragmentation and usability.

DeepTree’s model reflects a broader shift in fintech. AI is being applied to structured financial workflows rather than general productivity tools. The focus is on embedding intelligence directly into how professionals already work.

Key takeaways for fintech startups

• AI-native tools are winning when they remove real workflow friction, not just add insights
  
  
• Private markets remain one of the most fragmented data environments in finance
  
  
• Early adoption in B2B fintech depends on workflow integration, not feature breadth
  
  
• London continues to be a default launchpad for European expansion in financial services
  
  
• Domain-specific AI infrastructure is becoming a key investment theme in fintech

DeepTree’s next 12 months will test how effectively it can convert early adoption into a scalable European footprint. If you are building in fintech infrastructure or AI for financial services, Your Fintech Story helps teams sharpen positioning and accelerate market entry. Reach out.