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.