The Next Wave of Fintech: 10 Startups Gaining Momentum

The most interesting fintech startup in 2026 may never issue you a debit card. 

It may approve your loan, settle an international payment, audit an AI-generated purchase or process an insurance claim without its name ever appearing on your phone. 

That is the shift happening inside fintech. 

The industry’s first major wave was built around consumer disruption. Digital banks, payment apps and investing platforms promised to replace branches, simplify money and put Wall Street in everyone’s pocket. 

Now the market wants something harder to build. 

Investors are looking for companies that can repair expensive financial infrastructure, automate specialized work and become difficult to remove once installed. Fintech venture funding increased 35% to $53 billion in 2025, its first annual increase in four years. That was still far below the $152 billion raised during the 2021 peak, which means money is returning without the old willingness to fund nearly every financial app with a polished pitch deck. 

This new cycle is less interested in novelty. It wants evidence. 

Here are 10 emerging fintech startups showing where the market may be headed next. 

1. Natural is preparing for a world where software spends money

AI agents can already research products, compare prices and complete increasingly complex tasks. Natural is building the payment infrastructure those agents would need to hold, send and manage money. 

The company raised a $30 million Series A in July 2026, just 193 days after its founding, bringing total funding above $40 million. Founder Kahlil Lalji described Natural as the foundational payment stack for AI agents and predicted that agents will eventually execute a majority of global payment volume. 

That is an enormous bet, but it is not difficult to understand. 

Traditional payment systems assume a human is behind every purchase. Agentic commerce introduces new questions around identity, spending limits, authorization and liability. Natural wants to build the layer that answers them. 

Its opportunity is less about processing another transaction and more about defining who has permission to initiate it. 

The risk is equally large. If an autonomous agent buys the wrong product, exceeds a budget or misinterprets a request, somebody must absorb the loss. Natural could become essential infrastructure—or discover that financial institutions are unwilling to delegate meaningful payment authority to software. 

2. OpenFX wants stablecoins to disappear into the plumbing

Consumers may associate stablecoins with crypto exchanges. OpenFX sees them as a faster settlement rail for banks, payroll companies, fintech platforms and remittance providers. 

Founded in 2024, the company raised a $94 million Series A in March 2026 at a reported valuation of about $500 million. Annualized payment volume increased from approximately $4 billion to $45 billion in one year. OpenFX says more than 98% of its transactions settle within 60 minutes, compared with the multiday timelines common in legacy cross-border systems. 

Founder Prabhakar Reddy framed the company’s strategy around serving financial institutions rather than chasing billions of individual users. 

That approach matters. OpenFX does not need businesses to become enthusiastic about crypto. It needs them to care about faster settlement, lower costs and less trapped capital. 

The startup is arriving as major financial institutions become more comfortable with tokenized assets and blockchain-based settlement. But regulatory clarity remains uneven, and cross-border payments touch sanctions, currency controls and anti-money-laundering rules in several jurisdictions at once. 

OpenFX may be building a faster highway. It still has to pass through every country’s tollbooth. 

3. Fuse is attacking the software that slows down lending

Loan-origination software is not glamorous. It is also one of the systems that determines how quickly a bank or credit union can launch products, verify applicants and approve credit. 

Fuse is building an AI-native loan-origination and account-opening platform for banks, credit unions and nonbank lenders. Its tools include low-code integrations, configurable workflows and automation intended to reduce manual review. The company says more than 100 financial institutions use its platform and that it has raised at least $25 million. 

This is a classic infrastructure opportunity. 

Many lenders are still running fragmented systems that are expensive to customize and difficult to replace. That creates an opening for Fuse, but it also explains why the sale is challenging. Financial institutions do not casually replace the software controlling applications, underwriting and compliance. 

Fuse has attempted to reduce that fear by assuming more implementation responsibility and launching a $5 million rescue fund for lenders trying to escape troubled software migrations. 

The company’s real competition is not only another startup. It is institutional inertia. 

4. Rillet is trying to give accounting software a pulse

Most enterprise accounting systems are excellent at recording what happened. 

Rillet wants a system that can recognize what is happening now. 

The company is building an AI-native enterprise resource planning platform that automates reconciliations, journal entries, revenue recognition and financial reporting. It raised $70 million in a 2025 Series B at a reported $500 million valuation after completing a $25 million Series A only months earlier. 

CEO Nicolas Kopp has said that his experience waiting weeks for business metrics helped convince him that finance software needed a different architecture. 

Rillet’s pitch is powerful because the pain is familiar. Finance teams still spend days pulling information from disconnected systems before they can explain the previous month. 

The market opportunity is also sticky. Once an accounting system becomes the company’s official book of record, replacing it is painful. That can produce durable revenue for the winner. 

But accounting does not reward experimentation. A clever AI feature becomes much less impressive when an auditor questions the numbers. Rillet’s alliance with EY suggests the company understands that controls and auditability may matter as much as automation. 

5. Rogo is giving Wall Street analysts an AI colleague

Investment banking is famous for expensive talent performing repetitive work under brutal deadlines. 

Rogo is building AI tools that search financial data, analyze documents, prepare models and help produce the presentations that once kept junior analysts awake through the night. 

The platform is used by more than 25,000 finance professionals across major banks and investment firms. Forbes reported that Rogo’s revenue increased 650% in 2025 to more than $15 million, while its valuation more than doubled to $750 million following a January 2026 funding round. 

The company has continued expanding. In 2026, it acquired AI-agent startup Offset and later said it was deployed across hundreds of financial institutions. Rogo reported more than 50% quarterly growth in annual recurring revenue during its largest quarter of new business. 

Rogo’s advantage is not merely access to a language model. Financial firms already have those. Its value comes from secure workflows, proprietary data connections and tools designed around the habits of bankers and investment professionals. 

The long-term question is whether Rogo becomes the interface through which finance professionals work—or a feature that the largest institutions eventually build themselves. 

6. Reserv is modernizing the least pleasant moment in insurance

Buying insurance is theoretical. Filing a claim is where the relationship becomes real. 

Reserv provides claims administration and AI-assisted technology to insurers, managing general agents and self-insured businesses. Its platform centralizes claim files and lets adjusters search and analyze the information more efficiently. 

Reserv’s revenue grew from $24 million in 2024 to $53 million in 2025, while its customer count more than doubled to over 100. Its reported valuation reached $261 million in September 2025. 

The business case is obvious. Claims are document-heavy, labor-intensive and expensive. A system that helps adjusters find information faster can lower costs and shorten resolution times. 

But speed is not the only measure that matters. 

A claimant may see a life-changing loss. An insurer may see an open file and a reserve. AI inserted between those viewpoints must do more than help close cases quickly. It must help produce accurate, explainable decisions. 

Reserv says its technology pairs rigorous analysis with human adjusters from the first notice of loss through settlement. 

That human partnership may be the feature that determines whether automation feels helpful or hostile. 

7. Justt is preparing for the chargeback chaos AI agents may create

Chargebacks are already a major expense for online merchants. Agentic shopping may make them harder to investigate. 

Justt uses AI to help merchants decide which payment disputes are worth fighting, assemble evidence and automate chargeback responses. The company made its first appearance on the Forbes Fintech 50 in 2026 and has expanded its focus toward the new risks created when AI agents make purchases for consumers. 

That issue is more complicated than it sounds. 

When a person makes a purchase, a merchant may have a click trail, device data and behavioral evidence. When an agent makes the purchase, those signals may belong to the software rather than the actual customer. 

Justt warns that merchants can be left carrying liability without clear evidence that the customer authorized the specific transaction. 

As Visa, Mastercard and technology companies build agent-payment systems, chargeback rules will need to evolve with them. 

Justt could benefit from the mess. Its challenge is making sure that improving merchant recovery does not weaken legitimate consumer protections. 

8. Común is building financial access around the immigrant experience

Traditional financial products often assume a customer already has American identification, a Social Security number, domestic credit history and comfort navigating financial systems in English. 

Común starts somewhere else. 

The company provides banking services designed for Latino immigrants, including Spanish-language support, accounts accessible with identification from Latin American countries and cross-border money movement. Banking services are provided through Community Federal Savings Bank. 

The company’s product is important because the barrier is not simply whether someone has money. It is whether the financial system recognizes their documents and understands their needs. 

Común is targeting a large population often underserved by traditional banks but frequently charged high fees by alternative providers. 

The market opportunity is meaningful. So is the compliance burden. Financial institutions serving immigrants must balance inclusion with identity verification, anti-fraud systems and money-transfer regulation. 

The best fintech products do not merely digitize an old process. They redesign it around the customer who was excluded from the old one. Común is one of the clearest examples on this list. 

9. Possible Finance is trying to make emergency credit less punishing

A $200 emergency can become very expensive when the available options are overdrafts, payday loans or missed bills. 

Possible Finance offers small installment loans to customers who may have limited access to mainstream credit. Instead of requiring one large repayment, its product allows borrowers to pay over several installments. 

The company operates across dozens of states and joined the Fintech 50 for the first time in 2026. Possible says it has served millions of customers and generated an estimated $650 million in savings compared with higher-cost alternatives. 

CEO Tony Huang has described starting the company after seeing borrowers who needed modest amounts of money but faced products designed to keep them in debt. 

That mission deserves attention. It also deserves scrutiny. 

Small-dollar lending is difficult because servicing costs are high relative to the amount borrowed, while customers may be financially vulnerable. The relevant question is not whether Possible is cheaper than the worst payday loan. It is whether repeated use helps customers progress toward lower-cost financial products. 

Possible has acknowledged that some customers returned for new loans shortly after repayment and said that concern influenced its effort to build additional credit products. 

That honesty makes the company more interesting—and the outcome worth watching. 

10. Honeycomb is using AI to inspect buildings without sending an inspector

Commercial property insurance is becoming more expensive and harder to obtain in areas exposed to fire, storms and other climate-related losses. 

Honeycomb offers insurance for landlords and condominium associations. It uses aerial imagery, property data and an AI-enabled inspection app to evaluate buildings remotely. 

The company insured more than 30,000 buildings by the end of 2025 and reached approximately $275 million in annualized gross written premiums. Its customer count grew about 70% year over year. 

Remote inspections can reduce the cost and delay associated with sending a person to every property. Honeycomb says applicants can submit property images and receive coverage decisions without an in-person visit. 

The tension is that better risk detection can cut in two directions. 

More precise data may help insurers offer coverage to buildings they previously misunderstood. It may also help them identify risk so accurately that certain properties become prohibitively expensive to insure. 

Honeycomb’s own leadership makes an important point: AI is only as useful as the judgment behind it. 

Fintech’s new market is infrastructure, not attention

These companies do not fit neatly into one category. They span payments, lending, accounting, insurance, credit and financial inclusion. 

But they share a pattern. 

They are building around costly friction. 

OpenFX wants to shorten international settlement. Fuse wants to remove rigidity from lending systems. Rillet wants to close the books faster. Rogo wants to automate financial research. Reserv wants to make claims less cumbersome. Justt is preparing for disputes created by autonomous commerce. 

That is why business-to-business fintech is attracting attention. Infrastructure companies may not acquire customers as visibly as consumer apps, but they can become deeply embedded in operations and produce recurring revenue. 

AI is also moving beyond the chatbot stage. 

The strongest applications on this list do not merely answer questions. They initiate workflows, review documents, reconcile accounts, evaluate disputes and surface decisions. That adds value, but it also increases the consequences of a mistake. 

Recent research on AI in finance warns that automation can amplify errors, security failures and manipulation across an entire financial pipeline. The same scale that makes these systems efficient can make failures harder to contain. 

Stablecoins face a similar transition. 

Their future may depend less on persuading consumers to hold digital dollars and more on allowing financial institutions to settle payments faster behind the scenes. OpenFX is a clear example of that quieter path toward adoption. 

Regulation will separate the durable companies from the temporary excitement. 

Lenders must prove they are not reproducing predatory debt through a cleaner interface. AI platforms must show how outputs are verified. Insurance tools must explain decisions. Payment companies must define responsibility when software acts independently. 

The next fintech winner may not be the company that looks most disruptive. 

It may be the one that makes a complicated financial process faster without making it less trustworthy. 

That is a harder standard than growth. 

It is also where the real market is moving.