Flowt, a Nairobi based fintech that uses artificial intelligence to turn scattered business records into lender-ready financial data, has raised a $550,000 pre-seed round from Delta40 Fund I, Impacc and the Argidius Foundation.
The startup is using the capital to expand working capital lending to climate-smart small businesses across Kenya, targeting a $1 million loan book by the end of 2026, a modest sum set against a financing gap the company’s own backers put at $330 billion across African SMEs.
Flowt Kenya Climate SME Fintech: What the Platform Actually Does
The Flowt Kenya climate SME fintech model rests on a specific diagnosis of why small businesses struggle to borrow.
Founder Elana Laichena has argued that lenders across Africa typically default to one of three flawed responses when assessing a small business: demanding collateral it does not have, spending months on due diligence that makes a small loan uneconomical, or simply pricing in the worst case and charging an interest rate the business cannot afford.
All three responses share the same root cause, according to Laichena, which is that nobody can see trustworthy numbers behind the business in the first place.
Flowt’s platform plugs directly into accounting systems such as Odoo, QuickBooks and Zoho, and ingests bank and M-Pesa statements, using machine learning to auto-categorize transactions and produce a cash-based profit and loss statement along with more than 20 financial metrics measuring a business’s financing readiness.
Delta40 Flowt Kenya Investment 2026 and the Team Behind It
The Delta40 Flowt Kenya investment 2026 round reflects a close relationship rather than an arm’s length bet.
Flowt was built inside the Delta40 Venture Studio from idea stage through to its first working product, with Laichena serving as the studio’s Managing Director for Kenya immediately before founding the company alongside co-founder Handel Dan Owour.
Delta40 founder and Managing Partner Lyndsay Holley-Handler put the underlying thesis bluntly, saying Africa’s climate SMEs are generating real revenue, creating jobs and delivering measurable climate impact, and that they are not unbankable, they are underdocumented.
That framing, treating the problem as one of missing information rather than missing creditworthiness, sits at the center of why Delta40 chose to incubate Flowt directly rather than simply write a cheque to an existing lender.
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AI SME Lending Kenya M-Pesa Data: How Underwriting Actually Works
AI SME lending Kenya M-Pesa data forms the backbone of Flowt’s credit assessment process.
Rather than requiring fixed asset collateral, the platform bases underwriting on verified transaction history drawn from a business’s bank statements, M-Pesa records and accounting software, cross-referencing these sources to build a picture of actual cash flow and repayment capacity that a traditional lender’s manual due diligence process would take far longer to assemble.
Flowt’s first working capital facility went to GreenBay, a Kenyan circular commerce business that refurbishes and resells home, solar and other appliances, with the platform integrating into GreenBay’s Odoo accounting system and analysing its bank statements to assess its financial position before extending credit.
Loans are disbursed in partnership with Choice Bank, a microfinance lender, meaning Flowt itself functions as a data and origination layer sitting between the borrower and the licensed institution actually extending the credit.
Kenya SME Working Capital Loan AI Ambitions Beyond Lending
Kenya SME working capital loan AI activity is only part of what Flowt is building toward. Laichena has been explicit that the company does not want to be purely a lender in the long run, noting that a lender that only lends has to keep raising capital forever just to grow.
Instead, Flowt plans to sell the financial intelligence data it generates to businesses, investors and other lenders, treating the structured, verified financial profile it builds during underwriting as a reusable asset rather than a one time input consumed entirely by a single loan decision.
By the end of 2026, the company aims to launch a fuller AI powered accounting tool capable of ingesting M-Pesa statements, bank data, receipts and invoice photos to produce IFRS aligned financial statements, extending its usefulness to businesses even before they apply for financing.
Whether This Can Actually Dent a $330 Billion Gap
The gap between Flowt’s current ambitions and the scale of the problem it is naming is enormous by design.
A $1 million loan book by the end of 2026 is a rounding error against $330 billion in unmet SME financing demand across the continent, and Delta40 itself has pointed out that more than 1,000 investors across Africa already carry active mandates to deploy capital to SMEs and routinely miss their own targets, suggesting the constraint has never really been available capital so much as the inability to underwrite it efficiently.
Flowt’s bet is that if it can prove its data and underwriting layer works reliably at small scale with climate focused businesses like GreenBay, that same financial intelligence infrastructure becomes valuable to the much larger pool of lenders and investors already sitting on capital they cannot deploy, effectively turning Flowt into infrastructure other funders plug into rather than a lender competing for loan volume on its own.
Whether that data layer proves valuable enough to attract those larger capital pools at scale remains to be tested, with Flowt planning a second funding close and additional debt and repayable grant financing as its next steps toward finding out.
