Fintech’s relationship with traditional banking is entering a decisive new phase.
Increase has acquired and transformed a community bank, bringing its technology and regulated banking operations under one roof. Employers are using AI-enabled financial tools to manage payroll and compliance across multiple jurisdictions, while Investec has selected Infosys Finacle and Microsoft Azure for a large-scale banking transformation. Meanwhile, July’s leading funding rounds show investors continuing to support brokerage, digital banking, insurance and emerging-market credit infrastructure.
Together, these developments suggest that fintech is no longer content to provide a polished interface over somebody else’s systems. The sector increasingly wants to own, rebuild or directly operate the infrastructure underneath.
Former Stripe employee Darragh Buckley takes Increase into banking
Increase founder Darragh Buckley has acquired Twin City Bank in Washington state, renamed it Increase Bank and integrated the institution into his financial-infrastructure company.
Despite some headlines describing Buckley as a Stripe founder, he was an early Stripe employee who helped build the payments company’s banking infrastructure. He founded Increase in 2020 to provide payment rails, account services and ledger technology to fintech companies.
According to The Irish Times, Buckley acquired voting shares in Twin City Bank last year before completing the takeover. The bank’s physical branch in Longview, Washington, and its existing community-banking activities will remain in operation.
Increase initially acted as a technology layer connecting fintech businesses with banking partners and payment networks. Its infrastructure has supported companies including Stripe, Ramp and Gusto, with services ranging from payment processing to precisely timed payroll transactions.
Acquiring a bank allows Increase to handle more of the regulated relationship itself instead of depending on an external sponsor institution. Increase Bank will combine an FDIC-insured bank with API-based technology designed specifically for financial-technology companies.
That combination places Increase in competition with institutions such as Lead Bank and Column, which provide banking and payment infrastructure to fintech developers.
The acquisition is strategically significant because obtaining a bank charter is difficult, expensive and operationally demanding. A fintech that becomes a bank gains more direct access to regulated infrastructure, but it also assumes responsibility for capital requirements, examinations, consumer protection, anti-money-laundering controls and risk management.
Buckley’s decision consequently represents more than a vertical integration exercise. It is a bet that combining the technology provider and regulated institution can produce a more reliable model for embedded finance.
HIPTHER has previously examined the underlying demand for these services through its coverage of Intellect Global Transaction Banking’s Banking-as-a-Service platform, which enables banks to distribute products through marketplaces, fintech companies and other non-bank channels.
Increase Bank removes a fragile layer from the BaaS model
The importance of Increase Bank becomes clearer when viewed against the structural weaknesses exposed by previous Banking-as-a-Service failures.
A conventional BaaS arrangement may involve three organisations: the consumer-facing fintech, a middleware provider managing APIs and ledger records, and a sponsor bank holding customer deposits and carrying the regulated relationship.
Each participant can maintain its own systems and records. If those records do not reconcile, customers may be unable to establish where their money is actually held or which organisation is responsible for correcting the problem.
As Tech Times explains, Increase’s model combines the technology platform and chartered institution. Fintech clients can access payment rails, deposit accounts and a real-time ledger through one regulated entity rather than stitching together a sponsor bank and separate middleware provider.
The article contrasts this structure with the collapse of Synapse in 2024. Synapse operated between fintech applications and partner banks, but discrepancies between different ledger systems contributed to an extended reconciliation crisis that reportedly left around 100,000 consumers unable to access funds.
Increase has been connected directly to the Federal Reserve since its establishment. Its technology maintains transaction and balance records while reconciling activity with the central-bank infrastructure. Acquiring the charter therefore completes a model the company had already been building rather than forcing an entirely new technical direction.
A vertically integrated structure could deliver several advantages:
- One authoritative ledger for balances and transactions.
- Clearer accountability for regulatory compliance.
- Fewer reconciliation handovers between independent companies.
- Direct visibility into customer and payment activity.
- Faster product development without waiting for a sponsor bank’s technology roadmap.
- Reduced dependence on third-party middleware.
Integration does not eliminate risk. It concentrates operational and regulatory responsibility inside one organisation. A software failure, control weakness or governance problem could consequently affect both the technology and banking sides of the service.
Increase Bank will need to demonstrate that its digital architecture is supported by traditional banking disciplines: independent risk oversight, robust compliance testing, deposit reconciliation, vendor management and credible recovery planning.
The bigger lesson from Synapse was not simply that middleware is undesirable. It was that customer funds cannot depend on fragmented records, unclear responsibility and contractual relationships that fail during financial distress.
Increase is attempting to solve that problem by making one institution accountable for both the ledger and the regulated bank behind it.
Fintech and AI bring continuous compliance to global payroll
Fintech is also expanding beyond payments and banking into employer compliance, particularly as businesses hire remote employees across multiple states and countries.
Payroll teams must manage changing tax rules, minimum wages, overtime restrictions, holiday entitlements, sick-pay requirements, worker classifications and privacy obligations. These requirements become significantly harder to track when a company expands rapidly or employs people across several jurisdictions.
An analysis published by Barchart argues that AI and machine learning can turn compliance from a periodic manual exercise into a continuously monitored process.
Natural-language-processing systems can analyse updates to tax codes, reporting requirements and employment regulations. When a rule changes, the platform can alert payroll or compliance teams and identify employees or transactions that may be affected.
Machine-learning tools can also review working patterns and payroll records for anomalies, including:
- Unexpected changes in employee pay.
- Duplicate payroll entries.
- Unrecorded or excessive overtime.
- Working patterns approaching statutory limits.
- Incorrect minimum-wage calculations.
- Inconsistencies in holiday or sick-pay entitlements.
- Personal-data handling that conflicts with regional requirements.
The strongest use case is not replacing legal or payroll professionals. It is reducing the delay between a regulatory change or operational anomaly and the moment somebody notices it.
This is particularly useful for companies using professional employer organisations or employer-of-record providers to enter new markets. Automation can provide a common monitoring layer while local specialists remain responsible for interpreting ambiguous legislation and handling exceptional cases.
However, automated compliance introduces its own governance requirements. Employment rules are rarely reducible to simple numerical thresholds. Worker status, collective agreements, sector-specific exemptions and individual circumstances may alter how a law applies.
Organisations should therefore ensure that AI-generated alerts are traceable to authoritative sources. Material payroll or employment decisions should remain reviewable, and staff need a process for challenging incorrect classifications.
Financial and employment data are also highly sensitive. Tools monitoring payroll at scale require strict access controls, encryption, retention limits and clear rules preventing employee information from being reused to train unrelated models.
Continuous monitoring can strengthen compliance, but only when it is paired with local expertise, transparent decision-making and responsible data governance.
Investec selects Infosys Finacle and Microsoft Azure
Investec has selected the Infosys Finacle Digital Banking Solution Suite on Microsoft Azure to modernise operations across South Africa, the United Kingdom, Mauritius and the Channel Islands.
The international bank and wealth manager will migrate from legacy platforms to a multi-region Finacle Software-as-a-Service environment.
According to the company announcement, the programme will include Finacle’s deposits, lending, virtual-accounts and liquidity-management products.
The lending suite is intended to support end-to-end digital journeys and allow Investec to introduce more personalised products. Virtual-account management will help corporate clients simplify collections and payments through automated reconciliation and clearer account structures.
The liquidity-management system will provide real-time visibility into cash positions and working capital across multiple entities. This can help corporate customers optimise liquidity while strengthening financial controls.
Finacle’s data and AI foundations are expected to improve Investec’s readiness for artificial-intelligence applications and make operational information more accessible. Its APIs and event-driven architecture will also allow the bank to connect with fintech partners and third-party services.
Moving core banking functions into a cloud-based SaaS model can deliver:
- Faster product-development cycles.
- Continuous platform and security updates.
- Greater scalability across different markets.
- Reduced dependence on ageing in-house systems.
- Easier integration through open APIs.
- More consistent data across business units.
The migration is nevertheless a major operational undertaking. Deposits, lending, payments and liquidity management are central banking functions. Investec will need to transfer data, integrate surrounding systems and test regulatory reporting without disrupting services across four distinct regulatory environments.
Cloud adoption also changes rather than removes infrastructure risk. The bank remains accountable for resilience, access management, data protection, outsourcing oversight and recovery planning even when the underlying technology is operated by strategic partners.
The programme follows a broader move towards subscription-based banking platforms. HIPTHER previously reported on the Infosys and AWS collaboration supporting cloud transformation for financial institutions across Europe, the Middle East and Africa.
July’s largest fintech rounds favour infrastructure and scale
Fintech investment remained concentrated in established platforms and infrastructure providers during July 2026.
The monthly ranking from FinTech Futures highlights large rounds across brokerage technology, digital banking, insurtech, consumer credit and financial infrastructure.
Among the month’s most notable transactions were:
- Alpaca, which raised $135 million in equity alongside $300 million in debt financing. The company provides brokerage infrastructure and is developing agent-first investment technology.
- Lumin Digital, which secured $115 million and reached a reported $1.6 billion valuation. The digital-banking provider plans to invest in AI, payments, customer relationship management and lending.
- Cover Genius, which raised $100 million and reached a reported $1.9 billion valuation. Its embedded-insurance infrastructure allows digital businesses to offer protection products within customer journeys.
- Cashea, which secured $100 million to expand consumer-credit services in Venezuela, where limited conventional credit availability has created demand for alternative financing.
- Flex, which raised $70 million in a Series B1 round as it develops financial services and operational tools for businesses.
The rankings show that investors are still willing to write substantial cheques, but the money is not being distributed evenly. Capital is concentrating around businesses with existing customers, regulated-market access and infrastructure that can support multiple financial products.
Several themes connect the leading rounds.
First, investors continue to favour platforms selling infrastructure to other financial businesses. Brokerage APIs, digital-banking systems and embedded-insurance technology can grow through customers without acquiring every end user directly.
Second, AI is becoming part of the investment narrative across almost every fintech category. It is being applied to investment workflows, customer service, lending decisions and operational automation rather than treated as an isolated product.
Third, large equity rounds are increasingly accompanied by debt facilities. For lending and credit companies, equity pays for the technology and organisation while debt supplies the capital that ultimately reaches customers.
Finally, emerging markets remain attractive where traditional financial services leave obvious gaps. Cashea’s growth shows how fintech can develop rapidly when consumers need credit but conventional cards and bank lending are difficult to obtain.
The funding environment is therefore neither a return to indiscriminate fintech enthusiasm nor a complete withdrawal of capital. Investors are selecting companies that can demonstrate infrastructure value, distribution and a credible route towards durable revenue.
The bigger picture: fintech is taking responsibility for the foundations
The developments in this edition point towards a more accountable phase of financial technology.
Increase is combining banking infrastructure and regulatory responsibility instead of relying on a fragmented chain of providers. Employer-focused fintech tools are embedding compliance monitoring directly into payroll workflows. Investec is rebuilding core operations around cloud-native banking software, while venture investors are backing platforms capable of supporting entire financial ecosystems.
The common trend is the movement of fintech deeper into systems of record.
A payment interface can be replaced relatively easily. A regulated bank, payroll ledger, lending platform or core-banking system cannot. Once fintech companies operate these foundations, reliability and accountability become as important as user experience.
That shift is healthy for the industry. The failures of earlier BaaS models demonstrated what happens when rapid distribution grows faster than reconciliation, governance and regulatory oversight.
The next generation of fintech will not be defined solely by faster transactions or more elegant applications. It will be defined by whether companies can build financial infrastructure that remains accurate, compliant and available when something goes wrong.
