He couldn’t afford a ₦2.5 million developer. Now he’s building financial infrastructure for Nigerian banks

Onwuso Benjamin’s journey from financial research to fintech infrastructure has been shaped by limited capital, technical setbacks and difficult lessons about building products. His company, BenjaFamily Labs, is now developing technology to help Nigerian financial institutions automate compliance and manage financial risk. But earning institutional trust may be its biggest challenge yet.

In 2020, while studying Political Science at the University of Nigeria, Nsukka, Onwuso Benjamin began supplying financial research and market intelligence to a small community of cryptocurrency and forex traders.

His venture, BenjaFamily Research, was built around a straightforward proposition: better financial information could help people make better investment decisions.

For a time, the model appeared promising. Some of the traders benefited from the cryptocurrency market’s gains, particularly during the 2021 boom. But when market conditions deteriorated, Benjamin began hearing troubling accounts from people he had previously supported.

Some had lost significant amounts of money. Others, he recalled, were struggling financially after failing to manage their earlier gains.

Speaking in an exclusive interview with BusinessCabal, Benjamin traced the turning point to 2022, when he began questioning whether access to information was enough to help people make sound financial decisions.

The experience changed his thinking. Providing analysis was useful, but information alone could not guarantee financial discipline or prevent poor decisions.

Benjamin began considering how financial institutions could deliver more structured intelligence to their customers. His initial idea was a financial education application programming interface (API) that banks could integrate into their systems.

That ambition eventually evolved into BenjaFamily Labs LTD, an Enugu-based financial technology company incorporated in 2024. Benjamin established the company alongside two partners, who have since moved into non-executive roles.

As co-founder and CEO, he now leads the development of FPS API, a system intended to help Nigerian financial institutions automate compliance monitoring, detect suspicious transactions and eventually improve credit-risk assessment.

But before Benjamin could begin building the technology, he encountered a more immediate problem: he could not afford the developer he needed.

The ₦2.5 million obstacle

Benjamin and his two co-founders had no formal software engineering backgrounds. Their proposed financial education API required technical expertise they could not provide themselves.

He approached a developer about joining the company as chief technology officer, hoping to secure the expertise needed to turn the concept into a prototype.

The company was bootstrapped and had no revenue. Benjamin explained the opportunity and the risks, proposing an arrangement that would allow the developer to participate in the venture rather than receive a substantial upfront payment.

The developer was unconvinced.

According to Benjamin, the prospective CTO considered the venture too risky to accept equity in place of cash. He requested ₦2.5 million upfront for the development work.

For the young company, it was a significant financial barrier.

Benjamin said the conversation continued for approximately seven months as he tried to persuade the developer and raise the money.

The team eventually managed to assemble only about ₦650,000, far below the required amount.

The proposed prototype stalled.

The experience exposed a weakness in Benjamin’s original approach to building a technology business: he had a vision of what the product should do, but neither the money to hire a technical team nor the expertise to supervise the work independently.

Other early technology concepts also struggled to move beyond planning.

Rather than continue waiting for a permanent technical co-founder, Benjamin changed his approach.

During a leaner restructuring in 2024, the company began defining technical assignments more narrowly and engaging contractors to work on specific components.

Developers could handle backend engineering, a data scientist could support credit-model development, and cybersecurity specialists could be engaged for security testing.

The arrangement allowed Benjamin to pursue development without immediately committing to a permanent technical leadership structure the company could not afford.

But it also forced him to learn more about the engineering behind his own business.

When a non-technical co-founder has to understand technology

Benjamin’s background was in political science and financial research, not software development.

As BenjaFamily Labs moved towards building a financial technology product, however, he realised that relying entirely on contractors created another problem: he needed enough technical knowledge to evaluate their work.

He began studying concepts such as Python, FastAPI, application programming interfaces, system architecture and machine-learning models.

His objective was not to become the company’s lead engineer. It was to understand the technology well enough to explain product requirements, challenge assumptions and make informed decisions.

He came to believe that being a non-technical co-founder did not excuse him from understanding the fundamentals of what his company was building.

He now works with contracted developers and a data scientist, translating his understanding of financial regulation and institutional workflows into product requirements.

The distinction matters because financial infrastructure requires more than a functioning piece of software. It must work within existing institutional systems, handle sensitive information appropriately and produce outputs that compliance and risk professionals can use.

For Benjamin, learning the fundamentals became a way to close the gap between what he wanted to build and what his technical team could deliver.

It also changed how he thought about entrepreneurship.

His earlier approach had focused heavily on the scale of the idea. His newer approach placed greater emphasis on testing specific assumptions, building manageable components and learning from potential users.

From financial research to financial intelligence

BenjaFamily Labs’ current product, FPS API, short for Financial Proprietary System, is designed as a technology layer that financial institutions could connect to their existing systems.

The company is initially targeting Nigerian digital banks and microfinance institutions, particularly their compliance, risk and technology teams.

Benjamin believes these institutions often face related problems that are handled through different processes or software products.

One is regulatory compliance.

Financial institutions must monitor transactions, identify potentially suspicious activity and prepare reports required under applicable financial crime regulations.

Another is fraud detection, where institutions need to recognise suspicious behaviour quickly enough to investigate or prevent losses.

The third is credit assessment, especially for people whose financial activities are not fully represented by conventional credit histories.

Benjamin argues that treating these functions as disconnected processes can create inefficiencies and make it harder for institutions to develop a complete understanding of financial risk.

FPS API is intended to bring them together.

The company’s immediate product focus is on automating anti-money-laundering (AML) monitoring and supporting currency transaction reports (CTR) and suspicious transaction reports (STR) for Nigerian financial institutions.

In practical terms, the proposed system would help compliance teams identify transactions requiring attention, organise relevant information and prepare reporting workflows.

Such reports form part of Nigeria’s financial crime reporting framework, under which regulated institutions have obligations to identify and report certain transactions to the Nigerian Financial Intelligence Unit (NFIU).

Benjamin wants to reduce repetitive manual work while giving compliance professionals better visibility into activity that may require investigation.

The broader FPS roadmap includes fraud detection and alternative credit scoring.

But those ambitions are at different stages of development, and the distinction is important.

What FPS API can do today and what remains unproven

According to Benjamin, BenjaFamily Labs has built a working FPS API prototype with components covering authentication, AML monitoring, fraud detection, credit scoring and transaction ingestion.

The backend uses Python and FastAPI. The company has also developed an administrative dashboard and tested API endpoints as part of its development work.

The AML reporting interface includes screens for reviewing flagged transactions and report details.

Screenshots supplied by the company show a demonstration environment, identified by the institution code DEMO01, rather than a system connected to a real financial institution.

The distinction reflects FPS’s present stage: the company can demonstrate elements of the software, but the technology has not yet been validated through a confirmed institutional pilot.

Benjamin also says the platform has undergone penetration testing, and that the vulnerabilities identified were remediated.

The company is still working towards production readiness.

Its alternative credit-scoring component remains at an earlier stage.

The model uses LightGBM, a machine-learning framework, and has been developed using approximately 8,000 synthetic records.

These records are artificially generated development data, not information belonging to actual bank customers or borrowers.

Using synthetic data is a common approach during early-stage machine-learning development. It allows developers to build and test the underlying model without immediately requiring access to sensitive customer information.

For BenjaFamily Labs, this approach has provided a foundation for developing the alternative credit-scoring component.

But synthetic data cannot establish how accurately a model will perform against real financial behaviour.

Benjamin acknowledged that limitation during his interview with BusinessCabal.

“The synthetic data cannot give you any realistic output because it hasn’t connected or faced the real market reality,” he explained.

This is a significant distinction for a company hoping to sell financial intelligence to banks.

A credit-scoring model that functions in a development environment still has to demonstrate accuracy, fairness and usefulness when assessed against real lending conditions.

Likewise, compliance-monitoring software must prove that its alerts and reporting processes work reliably within an institution’s actual operations.

That real-world validation is one of the central objectives of the company’s planned institutional pilot programme.

The harder challenge: getting financial institutions to trust the product

BenjaFamily Labs’ next major objective is an institutional pilot programme called A3.

The programme will commence once data-sharing agreements are secured.

The company is currently in the validation phase, engaging compliance and anti-money-laundering teams at Nigerian financial institutions to understand their requirements and assess potential opportunities for testing FPS.

No institution has yet been confirmed as a pilot participant.

Benjamin hopes to secure three participating institutions through the programme.

According to him, the objective is not merely to demonstrate that the software works.

He wants to understand whether compliance and risk professionals find its outputs useful enough to incorporate into their existing workflows.

That requires more than technical integration.

Banks and microfinance institutions operate in a sensitive environment where customer information, financial crime controls and regulatory accountability are central to their operations.

Any external technology provider seeking access to institutional transaction information must address questions about data security, privacy, legal permissions and operational reliability.

Benjamin says the planned pilot framework would involve data-sharing agreements and the use of anonymised information for applicable testing.

Those proposed safeguards would still need to be assessed as part of a real institutional deployment.

The company has also held discovery conversations with financial-sector professionals to understand existing compliance and risk-management challenges.

Benjamin said some of those discussions highlighted difficulties that cannot be solved by technology alone, including the manual effort involved in reviewing flagged transactions and the coordination required between compliance, operations and technology teams.

These conversations are part of market discovery, not evidence of signed institutional partnerships or customers.

That distinction is particularly important for an early-stage infrastructure company: prospective users can acknowledge a problem without deciding to buy the proposed solution.

For Benjamin, securing institutional access has become the most immediate test of whether BenjaFamily Labs can move forward.

He described institutional access and trust as the company’s biggest current barrier.

Why the opportunity extends beyond regulatory reporting

Although FPS’s immediate focus is compliance monitoring and reporting, Benjamin sees a broader opportunity in helping financial institutions make better decisions from financial information.

Consider a small business owner who receives payments through a point-of-sale terminal and conducts regular digital transactions but has limited conventional credit history.

A lender relying on a narrow set of financial records may struggle to evaluate that person’s ability to repay a loan.

Benjamin believes alternative data, where legally available and appropriately assessed, could provide additional context.

His longer-term ambition is to use behavioural and transaction signals to support credit assessments for people who are poorly represented by traditional credit systems.

In theory, that could help lenders distinguish between borrowers who lack conventional documentation and those who present substantial credit risk.

But the potential benefits come with important limitations.

Financial behaviour is not always a reliable indicator of creditworthiness. Models that use alternative information can reproduce bias, misinterpret patterns or exclude the people they are intended to help.

Combining data from multiple financial services also introduces privacy and governance questions.

For BenjaFamily Labs, therefore, the opportunity is not simply to collect more information or generate more automated scores.

It is to demonstrate that its approach can help regulated institutions make decisions that are more useful, defensible and appropriately governed than their existing processes.

Until the company has completed real-world testing, those benefits remain goals rather than established results.

From a prototype to an infrastructure business

Benjamin wants BenjaFamily Labs to become an African financial technology infrastructure company, with a particular focus on challenges arising from the continent’s financial systems.

For now, his priorities are more immediate.

The company needs to secure institutional validation opportunities, assess how FPS performs under real operating conditions and use the findings to improve the product.

It also needs to demonstrate that financial institutions see enough value in the technology to adopt it.

Benjamin has become cautious about predicting which parts of the product or business model will remain unchanged.

He said the planned A3 programme should provide feedback that helps determine what the company needs to improve, reconsider or abandon.

That willingness to test assumptions reflects how his perspective has developed since the early days of BenjaFamily Research.

“Vision gives you direction, but execution requires people, capital, technology, distribution, timing and institutional trust,” he said.

The co-founder who once supplied financial research to individual traders is now trying to build technology that regulated institutions could use to assess financial activity.

It is a considerable shift in ambition  and in the level of proof required.

For BenjaFamily Labs, the next important milestone will not be another product feature or an announcement of what FPS might eventually achieve.

It will be securing the institutional trust required to test the system and generating credible evidence that its technology can solve problems financial institutions actually face.