Hilda Moraa and the shop finance could not see.

Before Hilda Moraa wrote software for small businesses, she borrowed money from her parents and became one.

She was studying Business Information Technology at Strathmore University when she saw a simple opening. Students needed printing and computer services. Moraa borrowed from her parents, set up the service and found customers. Software, customer demand and cash flow now occupied the same small operation.

The business worked until the university began offering similar services with resources she could not match. Her customers had not disappeared. A larger institution had absorbed the service, the distribution and the advantage.

Moraa remained close to the computer laboratory, coordinating it and helping other students with technical work. The small venture ended, but its economics followed her. A useful product could still be overwhelmed by scale. Demand could exist without giving the person serving it any durable power. A small operator could be busy and almost invisible to the institutions around her.

Moraa has spent much of her working life building systems that make small-business activity visible to suppliers and lenders.

Her fourth-year project helped a retailer tell a distributor what stock was needed. Her first company turned that application into tools for commerce and supply chains. Her second is building the machinery through which banks, telecommunications companies and commercial platforms decide whether a small business should receive credit.

The small merchant has remained the customer. The technology surrounding that merchant now influences decisions about stock, payment and credit.

The retailer enters the system.

Moraa studied at Strathmore from 2008 to 2011, after mathematics and physics had drawn her towards technology. Business Information Technology combined software engineering with the workings of a company. Code had to perform a task, and the task had to survive contact with a customer.

In May 2009, while still a student, she joined Coca-Cola Sabco as a master data analyst and innovation implementer. The role placed her inside a distribution system connecting a multinational company to thousands of smaller outlets.

The supplier could count what left its warehouse. The shopkeeper knew what was missing from the shelf. Between them sat orders, sales representatives, delivery routes and delays. A retailer who failed to replenish a fast-moving item needed the stock before the next customer walked away.

Moraa turned that operational gap into her final-year project. M-order allowed a retailer to place an order with a distributor through a mobile application. It did one job and made one commercial request visible.

The application won the best project award at Kenya’s Mobile Boot Camp in 2011. The award raised Moraa’s profile. A shopkeeper could use the application to replenish stock.

The same discipline had shaped Moraa’s printing venture. Start with a specific customer, remove a specific obstruction and discover whether anyone will pay. M-order gave her a product. Nairobi’s emerging technology community gave it somewhere to grow.

M-order becomes a company.

Moraa joined the founding team of iHub Research in 2011. Nairobi’s technology scene was acquiring a physical home, a network of founders and a language for building around African markets rather than treating them as an afterthought. Her research covered mobile use, digital work, innovation hubs and technology in public services.

Research exposed the distance between a demonstration and a business. A prototype can succeed in a room. A company must keep working after the presentation, connect with existing systems, secure contracts, collect its money and support a customer whose operations cannot pause while a developer fixes the code.

Moraa founded WezaTele in 2011 with Sam Kitonyi and Newton Kitonga. Nailab incubated the company for six months. WezaTele developed mobile tools for commerce, payments, distribution and supply chains, with a client list that Moraa’s public career record says included Coca-Cola, IBM, Bayer, Kenblest and Copia.

M-order had carried a retailer’s request towards a distributor. WezaTele widened the route around that request. Information had to move through the commercial network, goods had to follow and payment had to close the exchange.

Moraa also had to become more than the person who understood the product. She hired developers, found customers, negotiated with larger organisations and kept a young company alive when cash was scarce. Some products were abandoned. Legal structures received less attention than they deserved. Shares sometimes stood in for salaries. Founder attachment had to yield when commercial evidence refused to cooperate.

Moraa later recorded abandoned products, legal structures left too late and shares issued when cash was scarce in A Kenyan Startup Journey. WezaTele’s exit followed compromises, discarded work and decisions that looked different once the company had something worth buying.

AFB acquired WezaTele in May 2015. Contemporary reports placed the cash-and-stock transaction between KSh100 million and US$1.7 million. The parties did not publish the final consideration, although the larger figure became the one repeatedly attached to Moraa’s name.

She was 26. Two months later, during the Global Entrepreneurship Summit in Nairobi, Moraa spoke in a session attended by Barack Obama. She disclosed that she had postponed further study to give the company the attention it needed.

The exit gave Moraa money and credibility. Late in 2016, she directed both towards small businesses that could have customers and useful activity while remaining illegible to the institutions controlling capital.

Capital follows the order.

Moraa began building Pezesha in late 2016. The name comes from the Swahili verb associated with enabling someone financially. She described capital as a connector rather than the final product.

Stock produces the sale. Credit buys the stock before the sale has generated enough cash to pay for it. The loan is useful when it carries the business across that gap at a price the resulting margin can support.

Pezesha’s early model connected small businesses with investors willing to fund them. It combined borrower identification, financial education, credit scoring and a debt marketplace. A shop without a title deed, audited accounts or a long banking history could build a record from its own activity. An investor could use that record to decide whether to provide working capital.

The model combined activities overseen through different regulatory regimes. Pezesha entered the Capital Markets Authority’s regulatory sandbox in 2019 and received a letter of no objection in 2020 for its debt-based crowdfunding platform. The marketplace sat between lending, investment and technology, placing different duties on the person supplying money and the business receiving it.

Kenya later brought digital credit providers under the Central Bank. Pezesha Africa Limited received its digital-credit licence on 30 January 2023 and remained in the Central Bank’s August 2026 directory. Supervision shifted with the business as Pezesha moved beyond a marketplace into the infrastructure used to originate and manage credit.

Money for the company and money for its borrowers had to be raised differently. Pezesha’s US$11 million pre-Series A round in 2022 combined US$6 million of equity with US$5 million of debt. Women’s World Banking Capital Partners II led the equity portion.

Equity financed the company itself, including its people, technology, licences and expansion. Debt supplied funds that could be lent and repaid. Without both, Pezesha could build a credible scoring and lending system yet lack enough affordable capital to meet demand.

The company expanded through Kenya, Uganda and Ghana. Its most portable opportunity lay beneath institutions that already had customers and balance sheets, where Pezesha could supply lending machinery without becoming the brand every borrower recognized.

The lender moves behind the brand.

By 2026, Pezesha was selling financial infrastructure to banks, telecommunications companies and commercial platforms. They could use its systems to identify a merchant, analyse business activity, assign a risk score, originate a loan and manage repayment.

The institution providing the money brought its balance sheet. A payments or supply-chain platform brought an existing relationship with the merchant. Pezesha supplied parts of the decision-making and operating machinery beneath the offer.

For the merchant, the loan could appear inside a service already used to receive payments or order stock. That position lowers the cost of finding borrowers and places credit near a productive use. The same transaction trail can help a lender estimate turnover, seasonality, and repayment capacity.

Pezesha’s 2025 impact report said its work included a strategic balance-sheet partnership with Absa Kenya, alternative credit scoring for Stanbic Bank and supply-chain lending support for NCBA. The company also reported disbursing more than US$13 million through Safaricom’s Pochi La Biashara merchant-lending channel. It said women-led businesses accounted for 43 per cent of the customers and loans served that year.

Those figures come from Pezesha rather than audited group accounts. They place the company beneath institutions with larger balance sheets and wider distribution rather than in direct competition with all of them.

The arrangement also distributes power in ways the customer may not see. One institution owns the interface, another may provide the money and Pezesha may help produce the score. A credit bureau may receive the repayment record. A customer facing an incorrect decision can be sent around that chain while every participant describes only its own portion.

The borrower needs to know who supplied the money, who set the price, which information shaped the offer, who will report the repayment and where an error can be corrected. A simple interface cannot come at the cost of an invisible line of accountability.

A pause enters the loan.

Digital lenders have spent years removing steps from borrowing. Pezesha added one.

An experiment conducted with the Center for Financial Inclusion asked first-time borrowers to answer a short quiz before proceeding. The questions covered the amount borrowed, the due date and the penalty for late payment. Pezesha also widened eligibility for the experiment by lowering the minimum credit score from 550 to 450, reducing the monthly-income threshold from KSh30,000 to KSh15,000 and relaxing some documentation requirements.

The analysis covered 458 first-time borrowers. Seventy-five percent of those who received the quiz answered all three questions correctly. Ninety-six percent recalled the loan amount, 94 percent the due date and 83 percent the late-payment penalty.

Late repayment was recorded among 49.8 percent of the quiz group and 54.9 percent of the control group. Loans at least 30 days in arrears stood at 39.1 percent for borrowers who received the quiz and 42.2 percent for those who did not. The sample was too small to establish statistical significance, and Pezesha said the experimental customers were riskier than its wider portfolio.

Pezesha nevertheless made the quiz permanent for first-time borrowers and expanded it to cover credit scores and the effects of borrower behaviour. Its Elimiza service carries financial education into the lending journey.

A shop can lose a sale when money for stock arrives after the customer. Speed does not help a borrower who discovers the facility’s real cost through a penalty, an adverse credit entry or the refusal of the next application.

The extra pause also serves the lender. A customer who understands the obligation is better placed to repay it, protecting the borrower while improving the lender’s portfolio.

The score becomes infrastructure.

Pezesha’s expansion increasingly rests on Patascore. It analyzes information from people and businesses that may lack formal accounts, audited statements or a long credit history.

The product includes identity checks, bank and mobile-money statement analysis, credit scoring, fraud detection, loan management and financial education. Patascore says it has scored more than one million users using more than 300 million transactions. Both figures are supplied by the company.

For a bank, buying these capabilities can be quicker than building them. A model trained around small-business activity may recognize commercial patterns that a conventional application form misses. A shop without land to pledge may still receive money steadily, pay suppliers predictably and recover reliably after a slow week.

Each additional data source can make the business easier to assess. It can also enlarge the part of the owner’s life placed before the lender. Patascore’s product materials say an assessment may draw on bank and mobile-money statements, existing loans, repayment records and betting history.

The score compresses those details into a judgement. Its inputs determine which behaviour counts as evidence. Its thresholds determine which risk is accepted. An error can deny credit quickly and can travel farther if the information is reported, reused or embedded in another institution’s process.

Pezesha and the institution using its system should identify the information applied to a specific decision, obtain the required consent, protect the data, test outcomes for unfair exclusion and give the applicant a route to correct an error. The lender can purchase scoring technology. It remains responsible for the decision placed before its customer.

Licensing establishes Pezesha’s right to operate. It cannot, on its own, settle questions about model fairness, data provenance, adverse decisions and human review. Those questions become more urgent as Patascore disappears deeper into products carrying other institutions’ names.

The shop finance could not see is now visible. Its owner may still be unable to see how finance has interpreted the business.

The founder enters her second decade.

The World Economic Forum selected Pezesha for its 2026 Technology Pioneers cohort. In early 2026, Moraa said the company was raising further capital to expand Patascore and its institutional partnerships.

Pezesha’s 2025 report said it had secured US$500,000 in technical-assistance funding to strengthen portfolio quality. The company also launched Elimiza and entered a partnership with Accion, supported by the GitLab Foundation, to improve credit knowledge and financial resilience among women-led enterprises.

Moraa remains chief executive. Her public role has widened through mentoring, investment and policy work. Bloomberg selected her for its New Economy Catalyst programme in 2023. She received the Forbes Woman Africa technology and innovation award in 2024 and became a Harambeans Pritzker Kusudi Fellow in 2026.

In September 2026, after visiting the Dangote refinery in Lagos, Moraa wrote that ten years is not a long time when building infrastructure. She said Pezesha had made more than 500,000 small businesses visible and wanted to create an institutional effect that outlived its founder.

Pezesha needs consistent public measures across its markets covering total cost, approval, repeat borrowing, arrears, write-offs, complaints, corrections and movement into cheaper forms of finance. Its bank and telecommunications partners need to show where their responsibility begins and where Pezesha’s ends.

A loan that replenishes stock can preserve a sale, a job and a supplier relationship. Repeated short-term borrowing at a price higher than the business margin can leave the shop working for its lender. Durable inclusion should move a reliable borrower towards larger, longer and cheaper capital rather than bind the business permanently to the next small facility.

Moraa learnt at WezaTele that a useful product needs contracts, governance, capital and a team capable of carrying it. Pezesha must now apply those lessons while its models enter decisions made under other companies’ brands.

The shopkeeper asks for an answer.

The student printing business gave Moraa customers but little protection against a larger institution. M-order allowed another small operator to send an order into a large distribution system. Pezesha now tries to convert the activity around that order into a case for credit.

The business owner needs to understand the offer, know the price, see the information used and challenge a decision built on inaccurate data. Visibility must create bargaining power, not merely expose more personal and commercial data to the lender.

Fifteen years ago, Hilda Moraa built a way for a shopkeeper to tell a distributor which stock was needed.

The system she is building now must be able to answer when the same shopkeeper asks why.