Africa remains a major target for infrastructure investment, with private capital and impact-oriented investors increasingly active in the sector.
At the same time, thousands of mini-grids and off-grid power plants across the continent are struggling to raise the financing they need to expand. Put those two facts side by side and something becomes worth examining. Beyond a capital shortage, it’s an information problem, and it’s making renewable energy financing more expensive than the underlying risk actually justifies.
When a bank or a specialized energy financier decides how much to charge a mini-grid developer for capital, the interest rate is supposed to reflect project risk. In practice, it often shows something narrower: how much the financier trusts the data the developer has handed them.
A developer pitching a power plant financing deal typically shows up with numbers on generation output, customer counts, revenue, and repayment history. The financier then has to figure out where that information came from, whether it can be verified, and whether it’s being presented honestly.
Answering those questions well can take financiers nine to twelve months per deal, according to Olubunmi (Olu) Olajide, CEO and co-founder of Telios Intelligence, a Lagos-based company building data infrastructure for renewable energy operators.
Olajide has spent more than seven years financing and deploying decentralized energy infrastructure across Africa. Before founding Telios, he worked at Odyssey Energy Solutions, where he helped deploy over $50 million in private credit financing for solar mini-grids and EV infrastructure, and at Okra Solar, where he worked on mesh-grid electrification that reached more than 2,000 households in remote parts of Nigeria.
That’s the vantage point behind his read on the nine-to-twelve-month financing timeline: not an outside observation, but a pattern he says he watched repeat itself from inside the deals.
Beyond a paperwork problem, that delay is a pricing one. When a financier can’t independently confirm a project’s numbers, the rational move is to price in the uncertainty. Hence, interest rates climb regardless of whether the underlying project is actually a good bet.
A well-run mini-grid with strong repayment behavior can end up paying nearly the same premium as a shakier one, simply because the financier has no fast, reliable way to tell them apart. The market ends up charging a flat tax on unfamiliarity, and developers pay it no matter how well they perform.
Why this is Uniquely Hard on the Continent
What makes it acute here is scale layered on top of fragmentation. Off-grid and hybrid renewable systems have proliferated across Nigeria and other markets over the past decade, run by different developers using equipment from different manufacturers, each with its own monitoring software.
A financier trying to assess a portfolio of ten projects across five developers is often staring at ten disconnected reporting systems that don’t talk to each other, assuming standardised reporting exists at all.
That fragmentation means there’s rarely a shared, verifiable dataset both sides of a financing conversation can point to. Developers know their own numbers; financiers either take those numbers on faith or spend months chasing verification.
Multiply that friction across thousands of mini-grids and telecom-tower solar installations serving communities the grid doesn’t reach, and the scale of the problem comes into focus. This isn’t a handful of deals moving slowly. It’s an entire asset class getting priced less efficiently than it should be.
What Telios is Building Against that Gap
Telios, incorporated at the start of this year, is trying to close that gap directly. It doesn’t build power plants and doesn’t provide financing. Its product is a monitoring and data layer that connects to renewable energy sites, regardless of equipment brand or whether a system is standalone or tied to the main grid, and standardizes what comes out of them: generation output, customer billing, repayment behavior, equipment health, including flags for failures like a downed transformer or a failing battery.
According to the company, it has onboarded 10 power plant operators across 36 sites since incorporation, representing roughly 5 megawatts of installed capacity.
Antler provided its first capital while All On, a renewable energy-focused investment company, funded the technology’s development phase and introduced Telios to the plant operators that made up its initial pilot group.
According to Olajide, those figures come from the company directly and show an early stage of operation.
Telios also draws a firm line around who gets to see the data it collects. Access is restricted to the plant operator that owns a given site and the financier attached to that specific project.
Olajide says the company deliberately avoids selling or publishing the underlying data, given how commercially sensitive generation and customer information is to the businesses generating it. Verified data made available only to the parties actually transacting around it, rather than sold as a broader dataset, is itself a bet: that trust is the more durable business to build, not data monetization.
Telios isn’t alone here. Olajide names two international competitors, AMMP, based in the Netherlands, and a second company based in the UK, building comparable monitoring infrastructure for distributed energy assets. His stated differentiation is geographic and experiential rather than technical: a Nigerian team, including himself and two co-founders, that has spent years inside the actual mechanics of financing and deploying off-grid power in the market it now serves.
Whether that proximity turns into a durable advantage is worth testing over time rather than accepting outright. Understanding a market’s operating context is a real edge in a sector this dependent on local relationships and regulatory nuance, but it’s not the only variable that determines which data platform financiers eventually standardize around.
International competitors with stronger capital positions or existing financier relationships elsewhere in Africa could close that gap fast. Worth watching, not yet a contest worth calling.
Why this Matters Beyond One Company
The stakes here extend well past whether Telios itself succeeds. But it’s worth being specific about what a company like Telios represents: a bet that standardized operational data becomes normal practice across African distributed energy financing. Developers running well-managed projects would be able to demonstrate that performance directly, the way Telios’s ten onboarded operators are now doing, rather than absorbing a risk premium meant for the market as a whole.
Underperforming projects would become easier to identify and correct, or for capital to exit, rather than continuing to draw financing on the strength of relationships or convincing pitches alone.
That has a direct bearing on how much power actually gets built. Communities outside Africa’s major urban hubs, running farms and small businesses without reliable grid access, are often paying exorbitant rates for diesel because reliable alternatives haven’t reached them, not because demand or economic activity is missing.
The constraint has consistently been the difficulty of proving a project’s viability to whoever holds the capital to build it.
This is precisely the gap Telios says it’s positioning itself in: not as a lender or a developer, but as the layer that makes the proof faster and more reliable, addressing a bottleneck that sits upstream of nearly every mini-grid financing conversation on the continent.
None of this resolves on its own, and Telios, at six months old and still in an early proof-of-concept phase. Standardized data narrows the trust gap between developers and financiers; it doesn’t guarantee capital shows up, doesn’t fix regulatory friction, and doesn’t replace the work of building bankable projects in the first place.
What a company like Telios is really testing is whether removing that one specific friction, verified information, is enough to meaningfully change how much this kind of infrastructure costs to build.
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