How to Build a Billion-Dollar Energy Company in Africa: The MOOVE Thesis

Template 3: The Nigerian company that started with 76 cars, made future productivity financeable, and ended up building the physical infrastructure beneath robotaxis.

I have a bad habit.

Whenever an African startup raises an indecent amount of money, I ignore the funding announcement.

Not completely. I read the number. I am not a monk.

Then I close the article and go looking for the smallest version of the company I can find.

The original pitch.

The first market.

The awkward early product description written before a brand agency taught the logo how to breathe.

Because the latest press release tells you what a company wants to become.

The first hundred customers tell you what it understood before everybody else did.

On 5 August 2026, Moove announced that it had raised $250 million at a $2.1 billion valuation.

I had initially heard $2.5 billion.

I was wrong by $400 million, which is an acceptable rounding error in venture capital and a dismissal offence in project finance.

The announcement came with the usual collection of numbers designed to make the rest of us reconsider what we have done with our lives.

Moove says it now operates approximately 42,000 vehicles across 29 cities in 13 countries, employs 3,300 people and generates $420 million in annual recurring revenue. The company started with 76 vehicles in Lagos.

Seventy-six.

Moove is now building autonomous fleet depots called “Nests”, because apparently once your valuation crosses $2 billion, even the car park needs a product name. It operates autonomous fleets for Waymo and describes itself as the infrastructure layer for mobility at scale.

Somewhere between an Uber driver in Lagos trying to buy a car and a Waymo robotaxi in Phoenix returning to a charging depot with no human inside it, Moove became a very different company.

Or perhaps it did not.

That was the question I could not stop thinking about. Was this an extraordinary pivot? Or had the rest of us misunderstood the business from the beginning?

So I did what any normal person would do.

I opened twenty-seven tabs, ignored several more urgent tasks, read years of funding announcements, investor profiles and founder interviews, and developed an unnecessarily strong opinion about a mobility company I do not work for.

I went looking for the machine.

Because companies do not accidentally become worth two billion dollars.

Somewhere, years earlier, somebody built a machine that kept producing customers, assets, data, revenue and trust. The latest funding round is not the machine.

It is the receipt.

And the more I looked at Moove, the more I realised that its machine has surprisingly little to do with cars.

It is a machine for turning visible demand into financeable infrastructure.

Which means it may be one of the most useful templates we have for thinking about how to build a billion-dollar energy company in Africa.

Let me explain.

I went looking for the 76-car company

Ladi Delano and Jide Odunsi met while studying in London: Jide at the London School of Economics and Ladi at SOAS.

Both were children of Nigerian immigrants. Both had grown up with the strange tension many of us know too well: deep affection for Nigeria alongside the persistent question of why a country with so much human potential could fail to create enough opportunity for its people.

They eventually became business partners and built several companies together, including a pharmacy chain in Lagos. Their stated philosophy was straightforward: identify a real social problem and build a commercially viable solution to it.

Not a charity. Not a panel discussion. A business.

In 2020, they turned their attention to mobility. The problem looked obvious. Millions of people needed work. Ride-hailing platforms needed drivers. Customers needed rides.

But many of the people willing to drive could not afford a vehicle, and banks generally would not lend to them.

The banks saw informal income. No payslip. No acceptable credit history. No conventional collateral.

No thank you.

The driver, meanwhile, faced a particularly African form of absurdity. There was work available. The work could generate enough income to pay for the tool required to do it. But because the driver did not already own the tool, nobody would finance the tool.

This is how poverty reproduces itself with excellent paperwork.

Moove’s first important insight was that a vehicle in this context was not primarily a consumer purchase. It was a productive asset.

In Ladi’s formulation, a car in Africa was not merely a luxury. It could be the foundation of an income-generating business.

That distinction changes everything.

A bank looking at the driver saw a person with insufficient assets.

Moove looked at the same driver and saw an asset that could generate hundreds of small, observable cash flows every week.

The question was no longer: What does this person already own?

It became: What could this person reliably produce if we financed the missing tool?

That is a very different credit question.

And it is much closer to infrastructure finance than consumer lending.

Three parties standing around the same missing car

There were effectively three participants in the original Moove system.

1. The driver had the labour but not the vehicle.

2. Uber had the customer demand but not enough reliable vehicle supply.

3. The financial system had capital but could not confidently underwrite the driver.

Each party possessed something the others needed. Nobody had put the pieces together.

Moove stepped into the middle. It financed the vehicle.

It used data from the mobility platform to assess whether the driver could generate enough income. It monitored the vehicle and the driver’s operating performance. And, crucially, it arranged for repayments to be deducted from the income generated on the platform before the balance reached the driver.

Moove was not simply lending money and hoping the borrower remembered to transfer something at the end of the month.

It was sitting inside the cash-flow system.

The platform could show how frequently a driver worked, how many trips were completed, how stable earnings were, how the vehicle was treated and whether performance was deteriorating. Moove could then use those signals in underwriting and servicing decisions.

That meant it could reduce one of the ugliest risks in lending: the difference between a customer being able to pay and being willing to pay.

The driver’s income came through the platform. Moove took the agreed payment. The driver received the remainder. Over time, the driver could own the vehicle.

Simple.

Except it is not simple at all.

It required Moove to combine financing, data integration, vehicle procurement, collections, insurance, maintenance and fleet operations inside one business.

The elegance was visible to the customer.

The complexity remained with Moove.

That is usually where the value is.

The car was a small factory

I think this is the conceptual leap most people miss. Moove did not finance people who already had jobs. It financed the thing that allowed them to create the job.

The car was a tiny factory.

It converted labour and time into trips. Trips became revenue. Revenue repaid the car. The car eventually became the driver’s asset.

The same object was simultaneously:

• the productive equipment;

• the source of revenue;

• part of the collateral;

• a monitored data point;

• and, through the platform, connected to the collection system.

That combination is unusually powerful.

Traditional lenders often try to predict creditworthiness by examining a person’s financial past.

Moove could examine the productive asset’s present.

• How many trips did it complete?

• How much did it earn?

• How consistently did it operate?

• Was the driver’s activity increasing or declining?

• Was maintenance behaviour creating future risk?

The underwriting file was not merely a payslip, a bank statement and one uncle’s land document from 1987.

It was work happening in real time.

In 2024, Reuters described the model as vehicle finance repaid using a portion of the customer’s weekly revenue. By that point, Moove had expanded beyond ride-hailing into vehicles used for logistics and deliveries as well.

This is the first major lesson for African energy.

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LESSON 1 - Do not finance the customer’s poverty. Finance the asset’s productivity.

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A business may not have an investment-grade balance sheet. It may still spend money every day on diesel. It may still lose products when the cold room fails. It may still lose production hours during outages.

It may still have customers, revenue, machinery, employees and a commercially useful reason to consume energy.

The absence of a pristine balance sheet does not mean the absence of productive demand.

Sometimes it means the financial system is asking the wrong questions.

Moove asked a better one.

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Uber was doing three jobs

People often describe Uber as Moove’s partner.

That is true, but incomplete.

Inside the original model, Uber performed at least three critical functions.

• It was the demand engine: the place where rides were requested.

• It was the data rail: the system that recorded trips, earnings and driver behaviour.

• And it was the payment rail: the place through which the money moved.

This is why the relationship mattered so much.

Moove had an existing connection to Uber from an earlier outdoor-advertising business run by its founders. That helped open the door, but it did not remove the need to prove the model in Nigeria, negotiate deeper integrations and demonstrate that Moove could add reliable supply to the platform. Over time, the relationship became sufficiently important that Uber invested in Moove’s $100 million funding round in 2024.

Moove had not merely found a distribution partner. It had attached itself to an operating marketplace in which demand, data and money already existed.

That allowed Moove to do something most asset-heavy companies get backwards. It found the demand before scaling the assets. The importance of this became clearer through the things that did not work.

Moove experimented with motorcycles, delivery trucks and minibuses. Some of those efforts struggled, not necessarily because Moove could not procure or finance the vehicles, but because the corresponding demand platforms were not mature or dependable enough.

The vehicles existed.

The cash-flow machine did not.

Moove’s leadership later described a strong demand-generation platform as fundamental to the model. The company now plans supply jointly with partners by asking how many vehicles and drivers the market actually needs before deploying more assets.

That may be the most important confession in the entire story.

Moove’s model is not really vehicle-dependent.

It is demand-platform-dependent.

A car without trips is debt with seat belts.

A power plant without contracted demand is the same thing with a fence around it.

African energy has built plenty of both.

The ugly work was the moat

It is tempting to describe Moove as a fintech. That makes the company sound cleaner than it is. Fintech suggests software, dashboards, a tasteful office and people discussing customer journeys while eating catered lunch.

• Moove had to buy cars.

• Register them.

• Insure them.

• Track them.

• Repair them.

• Recover them when things went wrong.

• Manage drivers.

• Integrate with platforms.

• Raise debt.

• Manage currency exposure.

• Report to lenders.

• Navigate transport regulators.

• Build charging facilities.

• And eventually operate fleets around the clock.

This is less “fintech” and more “several difficult businesses in a trench coat”.

Ladi and Jide were repeat founders with experience across finance, consulting and operations. Tingting Peng joined in early 2021 as Moove’s first executive hire and became central to its transformation and capital strategy. The team had to develop capabilities across credit, technology, procurement, fleet operations, capital markets and country execution almost simultaneously.

There was no credible version of the business in which Moove built an app and outsourced all the unpleasant parts.

The unpleasant parts were the product.

• A driver did not merely need a loan approval. The driver needed a functioning car, insurance, maintenance support and enough uptime to continue earning.

• Uber did not merely need another finance provider. It needed vehicles and drivers that remained available.

• Lenders did not merely need a compelling impact story. They needed evidence that the assets existed, the revenue was real, the collections worked and somebody knew what was happening in each market.

Moove had to become the connective tissue between all of them.

This is one reason asset-heavy African businesses become vertically integrated. Not always because the founders woke up wanting to own the universe.

Sometimes because the interfaces between specialist providers do not work.

The bank does not understand the customer. The operator does not control the maintenance. The platform does not own the vehicle. The data does not reach the lender. The insurer does not price the actual risk.

The customer ends up carrying the failure between all five.

Moove absorbed those interfaces.

That is expensive.

It is operationally brutal.

It is also hard to copy.

Even the hiring mistakes were informative

Moove did not scale perfectly.

No company does, although the retrospective case studies usually tidy this part away.

Its leadership has acknowledged that some early hiring decisions placed too much emphasis on prestigious corporate backgrounds. Impressive logos were mistaken for stage-appropriate operating ability.

The result was what Tingting Peng described as a stage mismatch.

A person can be excellent at running one department inside a global company and still be poorly suited to building the department from a laptop, three spreadsheets and an urgent WhatsApp message from somebody at the port.

These are different sports.

As Moove became more complex, it eventually divided the company into four operating businesses—Moove Manned, Kovi, Moove AV and Moove Japan—each with its own leadership and profit-and-loss responsibility. Capital allocation and group strategy remained centralised.

That organisational structure is more important than it looks.

A capital-intensive multinational cannot run every operational decision from headquarters.

But it also cannot allow each market to invent its own capital strategy, underwriting standards and risk appetite.

Local execution.

Central capital discipline.

The same principle will matter for any African energy platform trying to operate across ten countries without discovering ten entirely different definitions of “approved budget”.

Capital was not funding. It was part of the product.

Every asset-heavy startup begins with a mildly offensive paradox.

• It needs assets to generate revenue.

• It needs revenue to attract debt.

• It needs debt to buy the assets.

Welcome to infrastructure.

Moove initially had to use equity to put vehicles on the road.

That was expensive capital doing the work of asset finance, but there was no established portfolio performance to show lenders yet.

The first vehicles produced the first repayments. The repayments produced data. The data made the next pool of vehicles easier to finance.

Gradually, the capital stack could evolve.

This is the sequence:

• Equity pays for uncertainty.

• Debt pays for repetition.

Moove learned this in real time.

Some of its early asset facilities were denominated in US dollars while drivers earned in local currencies. That created the familiar emerging-market magic trick where the customer performs exactly as expected and the company still loses money because the currency has developed other plans.

Moove shifted towards local lenders and local-currency facilities.

It also learned that the structure of the debt mattered almost as much as the interest rate. Amortising term loans consumed operating cash as principal was repaid. Revolving facilities made it easier to keep expanding the asset base while servicing the facility.

Meanwhile, the company invested in lender-grade reporting and internal controls so that institutional capital could understand what it was financing.

This is not glamorous work.

Nobody has ever gone viral on LinkedIn for reconciling an asset register.

But a lender will give more money, at a better price, to the company that can tell it where every asset is, what every asset earned, how every customer paid, what failed last month and what was done about it.

By March 2024, Reuters reported that Moove had raised a cumulative $250 million in equity and $210 million in debt. Its funding sources over time included conventional equity, bank facilities, venture debt and a sukuk. Then came the new $250 million Series C in August 2026.

The capital stack was not sitting backstage supporting the business.

It was the business.

A vehicle-finance company with the wrong financing structure is just a very organised way to go bankrupt.

Moove was not only learning how to underwrite drivers.

It was learning how to make its own balance sheet underwritable.

That distinction is the difference between a small leasing company and a global infrastructure platform.

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Then the company started buying the operating system

In January 2025, Moove acquired Kovi, a Brazilian mobility company.

The transaction increased its reported fleet to 36,000 vehicles and its annual recurring revenue to more than $275 million. More importantly, Kovi brought proprietary vehicle telemetry and driver-behaviour technology that could improve maintenance decisions and risk assessment.

This is what a sensible acquisition looks like. Not merely more customers. More learning per customer.

Moove had already built a model around embedded mobility data. Kovi increased both the size of the fleet and the quality of the nervous system attached to it.

The acquisition helped Moove move further away from being a company that merely financed cars.

It was becoming a company that understood how high-utilisation mobility assets behaved. When they failed. How drivers treated them. What maintenance patterns predicted future cost. How utilisation affected economics. Which operating practices extended useful life.

That knowledge becomes valuable far beyond the original loan.

It improves underwriting. It reduces downtime. It informs procurement. It strengthens residual-value assumptions. It makes lenders more comfortable.

And every improvement makes the next asset slightly cheaper to finance.

The loop tightens.

The Waymo “pivot” that was not really a pivot

Then came the part that initially confused me.

In December 2024, Moove announced a partnership with Waymo.

Moove would manage and dispatch Waymo’s autonomous vehicles. It would be responsible for fleet operations, facilities and charging infrastructure. Waymo would continue to operate the passenger platform and remain responsible for the autonomous-driving technology itself. The relationship began in Phoenix and expanded to Miami, with London subsequently announced.

At first glance, this looks like a radical departure.

The company began by helping African drivers own vehicles.

Now it is building infrastructure for vehicles that do not need drivers.

There is an obvious social tension there, and it should not be hand-waved away. A mission built around economic opportunity for mobility entrepreneurs does not map neatly onto a future in which the entrepreneur has been removed from the driver’s seat.

But strategically, the move is much more continuous than it appears.

Look at the original system again.

• Uber had demand and software.

• Drivers had labour.

• The missing layer was financed, reliable vehicle supply.

• Moove built that layer.

Now look at autonomous mobility.

Waymo has the autonomous-driving system and the passenger platform.

The missing layer is still physical.

Someone must finance or own the vehicles. Someone must charge them. Clean them. Maintain them. Inspect them. Store them. Dispatch them. Recover them when a sensor decides the traffic cone has become an existential threat. Run the depot at three in the morning. Coordinate thousands of physical assets across a city.

The driver disappeared. The operating problem did not.

In some ways, it became more demanding.

A human driver can notice a flat tyre, find a mechanic, clean the back seat and complain loudly when the charger is not working.

An autonomous fleet still needs all those things. It simply cannot do any of them itself.

Moove followed the bottleneck.

First, the bottleneck was access to vehicles.

Then it was fleet uptime, maintenance and charging.

Now it is the physical operating infrastructure required to deploy autonomous vehicles at scale.

The company did not abandon its underlying model.

It extended it.

The current Moove website describes the business as a combination of capital, physical infrastructure and city-level operations across both human-driven and autonomous mobility. The new funding will support fleet ownership and “robotics-first” depots where autonomous vehicles can be charged, serviced and continuously orchestrated.

This is the second major lesson.

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LESSON 2 - Do not remain loyal to the first product. Remain loyal to the system-level problem.

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Moove’s first product was vehicle finance.

Its enduring problem is enabling mobility platforms to deploy productive physical assets at scale.

The car was never the whole business.

The operating layer was.

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The five actual Mooves

I tried to turn this into a perfect MOOVE acronym. The second O refused to cooperate. I respect its boundaries.

So instead, here are the five actual moves hiding beneath the company’s growth.

Move one: find the demand before financing the asset

Moove did not begin by buying ten thousand cars and then opening PowerPoint to investigate where ride-hailing might be popular.

It connected vehicle deployment to an existing demand platform.

This reduced utilisation risk. It provided operating data. It created a path to collection.

And it gave the company a partner with a commercial reason to help the fleet succeed.

The experiments that struggled were often the ones without a sufficiently strong demand engine.

Asset-first businesses ask: What can we build?

Demand-led infrastructure businesses ask: What productive activity is already constrained by a missing asset?

That is a much better place to start.

Move two: finance productivity, not existing wealth

The target customer did not have enough conventional collateral. But the financed asset could create measurable income.

Moove underwrote that income.

This does not remove risk.

Drivers can work less. Demand can fall. Vehicles can break. Regulations can change. Platforms can alter commissions.

But these are observable operating risks, not vague judgments about whether an informal worker “looks bankable”.

The data moves the conversation from prejudice to performance.

Move three: control the cash-flow loop

Demand alone is not enough.

Plenty of businesses have customers and still die because the money travels through six accounts, two subsidiaries and one person called Uncle Frank who is “helping with collections”.

Moove embedded repayment inside the platform’s payment flow. That substantially reduced collection friction.

The lesson is not that every company must literally deduct money every week.

The lesson is that the financing structure and the revenue structure cannot live in separate universes.

The closer repayment sits to the productive cash flow, the more financeable the asset becomes.

Move four: turn operations into data and data into cheaper capital

Every vehicle generated more than revenue.

It generated evidence. Utilisation. Maintenance behaviour. Collections. Default patterns. Residual values. City-level economics.

The evidence improved underwriting and lender reporting. Better underwriting should reduce losses. Better reporting should reduce uncertainty. Lower uncertainty should attract larger and cheaper pools of capital. Cheaper capital allows more assets to be deployed. More assets generate more evidence.

This is the flywheel:

Demand → productive asset → embedded collection → operating data → cheaper capital → more assets.

The cars move.

The information compounds.

Move five: follow the bottleneck until you become infrastructure

Moove did not expand randomly into every financial product that could fit on a strategy slide.

It tried adjacent ideas, including other vehicle categories and financial services, and dropped some when the market structure was not strong enough.

But it kept moving deeper into the bottlenecks surrounding its core demand platforms.

• Vehicle access.

• Fleet availability.

• Maintenance.

• Charging.

• Depots.

• City operations.

• Autonomous fleet infrastructure.

That is how a product company becomes an infrastructure company.

Not by announcing a platform.

By repeatedly taking responsibility for the next failure point.

Then I had an unpleasant thought

At some point during this research, I realised Moove sounded more like the energy company I have been trying to describe in this series than most actual energy companies.

That was mildly irritating.

In the first essay, the CITADEL Thesis, I argued that the great African energy company would build a proprietary map of risk, own selected physical assets and use better information to price what everyone else treats as generic “Africa risk”.

In the second, the NVIDIA Thesis, I argued that it would help manufacture its own market: building the enabling platform, securing anchor demand, financing the ecosystem and eventually using its balance sheet to turn uncertain demand into bankable demand.

Moove supplies the missing operating instruction.

Citadel tells you where the information advantage sits.

NVIDIA tells you how to make the ecosystem grow.

Moove tells you how the money reaches your account on Tuesday.

That is not a small contribution.

Because the average African distributed-energy company still scales one bespoke transaction at a time.

Find a factory. Request twelve months of electricity bills. Discover they sent photographs instead of Excel. Request them again. Visit the site. Find out the “available land” belongs to somebody’s aunt. Build a model. Negotiate a power-purchase agreement. Spend eight months explaining the exchange-rate clause. Raise project finance. Build the plant.

Repeat the entire process from zero.

Each project may be good. The company does not necessarily compound. It accumulates.

There is a difference.

Moove did not accumulate unrelated vehicle loans.

It built a repeatable loop around a demand network.

That is what African energy needs.

The closest thing energy has to Uber

The obvious question is: Who is Uber in the energy version?

It is probably not one company across the entire continent. Energy demand is too fragmented. Regulation is too local. The assets vary too much.

A textile factory, telecom tower, cold room and taxi-charging depot do not behave like four branches of the same fast-food chain merely because all of them dislike diesel.

But within individual sectors, there are organisations that perform some of the same functions Uber performed for Moove.

• A telecom tower company controls hundreds or thousands of sites.

• An industrial-park operator aggregates multiple businesses behind one location or grid connection.

• A retail or franchise network has standardised sites and central procurement.

• A logistics platform sees vehicle activity and can forecast charging demand.

• An agricultural off-taker knows which processors and cold stores are active and commercially productive.

• A payment company sees merchant revenues and settles funds into their accounts.

• A bank, insurer or consumer-goods distributor may have hundreds of branches, warehouses or retail partners whose operations depend on reliable electricity.

The perfect anchor is not simply an organisation with many sites. It is an organisation that already possesses three things:

1. Demand visibility.

2. Performance data.

3. Some influence over the payment rail.

That is energy’s Uber.

The more of those three functions the partner controls, the more powerful the model becomes.

Imagine this

Suppose a payment platform serves several thousand merchants. It already knows which merchants transact every day. It knows their revenue patterns. It knows which businesses are growing. It settles money to them.

Many of those merchants run small generators because unreliable electricity threatens refrigeration, lighting, security, connectivity or basic trading hours.

A normal solar company approaches the merchants individually. Five thousand sales conversations. Five thousand site visits. Five thousand credit assessments. Five thousand collections problems.

And, eventually, five thousand reasons the sales team needs another quarter.

The Moove-style company starts elsewhere.

• It partners with the platform.

• It uses transaction history and energy-metering data to identify a first cohort of commercially active businesses.

• It installs standardised solar-and-storage packages.

• The merchant pays a service fee that is designed to sit below its previous power cost.

• The payment is collected through an agreed settlement mechanism.

• The provider owns and maintains the equipment during the contract.

• The platform benefits because its merchants remain open, connected and able to transact.

• The merchant gets more reliable and potentially cheaper power without finding the upfront capital.

• The energy company gets a visible demand pool, a data partner, a distribution channel and a collection mechanism.

• The first 100 systems generate performance and repayment data.

• That data supports a warehouse facility for the next 1,000.

• The larger portfolio can eventually be refinanced or securitised.

This is not merely rooftop solar. It is embedded productive-infrastructure finance.

The same architecture could be built around telecom towers, cold-chain networks, petrol stations, healthcare facilities, bank branches, logistics fleets or industrial clusters.

Different equipment.

Same machine.

Your first 76 systems

Moove’s first fleet was not 42,000 cars. It was 76.

That matters.

The first version of an African energy Moove should not begin with a press release announcing a 3 GW pan-African pipeline.

We already have enough 3 GW pipelines. Some of them are old enough to vote.

The first version should be narrow enough to learn from.

One sector. One anchor partner. One country, or perhaps one operating corridor. A small number of standardised systems. A payment mechanism that actually works. An operating team close enough to reach a failed asset without booking an international flight.

Here is what I would build.

1. Choose a productive-demand network

Do not begin with “African SMEs”. That is not a customer segment. It is a census category.

Choose one network whose operations are sufficiently similar: pharmacies, cold stores, telecom sites, fuel stations, small manufacturers, delivery fleets, clinics or retail branches.

The network should have recurring economic activity and a clear cost associated with unreliable power.

2. Meter before financing

Install monitoring before committing serious capital.

Learn the load. Grid availability. Generator runtime. Fuel consumption. Operating hours. Seasonality. Outage impact. Payment behaviour.

The first product may be measurement. That is fine.

Moove could underwrite because it could see the work.

The energy company must learn to see the electrons.

3. Standardise the assets

Do not custom-design a miniature engineering masterpiece for every customer. Create a limited number of system architectures that cover most of the network.

Standard components. Standard contracts. Standard monitoring. Standard maintenance procedures. Standard spare parts.

The goal is not to eliminate engineering judgment.

It is to stop spending senior engineering time rediscovering that a 50 kW inverter remains a 50 kW inverter in Ibadan.

4. Put payment beside performance

A long-term energy contract is not bankable merely because Microsoft Word allowed everyone to sign it. The collection mechanism must connect to the customer’s actual cash flow.

That may mean a central network invoice. A payment sweep. An escrow account. A parent-company undertaking. A deduction through a marketplace settlement. A prepaid energy wallet. Or a carefully designed revenue-share mechanism.

The exact structure will vary.

The principle will not.

Collections must be designed, not hoped for.

5. Use expensive capital only for the uncertainty

The first systems may require equity, grant-backed first-loss capital or an anchor partner’s guarantee.

That is acceptable. Their job is to prove the model.

Once utilisation, performance, collections and loss rates become predictable, move the assets into debt structures suited to their cash flows.

Prefer local-currency financing where revenues are local currency.

Use revolving or warehouse facilities where repeated deployment requires capital to be recycled.

Do not raise permanent venture equity to fund every panel for the next fifteen years.

Equity should build the machine.

Debt should fill it with assets.

6. Own the operational nervous system

Whether the physical equipment sits in a separate asset company or special-purpose vehicle, the platform must retain the data and operating intelligence.

Every alarm. Every payment. Every maintenance visit. Every battery replacement. Every hour of downtime. Every customer complaint. Every EPC failure. Every forecast error.

That is the underwriting engine for the next portfolio.

Outsourcing installation is fine.

Outsourcing organisational learning is not.

7. Follow the next real bottleneck

Once the company reliably supplies electricity, the next bottleneck may be cooling. Charging. Steam. Power quality. Energy procurement. Equipment financing. Grid balancing.

But the expansion should occur because the existing customer network is pulling the company into a nearby problem—not because somebody found a larger total-addressable-market number during an offsite.

Moove did not become autonomous-mobility infrastructure by randomly adding products.

It followed the operational constraint.

The energy company should do the same.

This is not “solar finance”

There are already many companies offering solar loans, leases and power-purchase agreements.

That is not, by itself, the Moove thesis. The Moove thesis is the closed loop.

1. The demand partner helps identify productive need.

2. The data improves underwriting.

3. The financed asset creates or protects cash flow.

4. The payment mechanism captures part of that cash flow.

5. The operator keeps the asset productive.

6. The resulting performance data attracts cheaper capital.

7. Then the same system is repeated across the network.

Remove any one of those pieces and you may still have a perfectly good solar company.

But you probably do not have the machine.

This distinction matters because panels are not scarce. Batteries are becoming less scarce. EPC contractors are definitely not scarce. I know this because approximately fourteen new ones appear in my inbox every Tuesday.

The scarce capability is coordinating demand, credit, capital, technology, collections and operations at portfolio scale.

That is what Moove built in mobility.

That is where the billion-dollar energy company will be built too.

Where the analogy breaks

Now for the annoying part.

Cars and energy systems are not the same.

I know.

Twelve years in energy has at least taught me that a Toyota Corolla and a 1 MW rooftop have different technical characteristics.

The Moove analogy is useful precisely until it becomes too convenient.

There are several important differences.

1 - Energy assets are harder to recover

A vehicle can be repossessed and redeployed.

A rooftop solar system technically can be removed, but by the time you have taken apart the mounting structure, repaired the roof, found a new customer with the same load and explained the situation to three sets of lawyers, you may develop a renewed appreciation for unsecured lending.

A solar asset is often physically and contractually tied to one site.

That makes customer selection, access rights, termination compensation and step-in provisions more important.

2 - Avoided cost is not automatically cash flow

A driver completes a trip and receives revenue.

A solar system may merely reduce what the customer would otherwise have spent.

That “saving” depends on the accuracy of the baseline. What would grid supply have been? How much diesel would actually have been consumed? Did production fall? Did the factory change shifts? Did the customer exaggerate fuel use because somebody mentioned free solar?

Savings can be economically real and still be difficult to collect.

The energy company must meter the baseline, define measurement and verification clearly, and avoid treating theoretical savings as if they are already sitting in an escrow account.

3 - The contracts are longer

A vehicle-finance arrangement may run for a few years.

An energy-as-a-service agreement can run for ten, fifteen or twenty.

That creates much more exposure to currency movements, regulation, technological change, customer deterioration and people who sign contracts enthusiastically before moving to another company six months later.

The underwriting cannot stop at today’s energy bill.

It must ask whether the customer, contract and asset remain defensible through several business cycles.

4 - There may be no dominant demand platform

Uber provides a concentrated marketplace. Most energy sectors are fragmented.

The energy company may have to assemble its own network through multiple anchor partners.

That makes the go-to-market slower.

It also makes the eventual platform more defensible, because the aggregation capability itself becomes valuable.

5 - Control creates responsibility

Moove’s embedded collection system reduces risk.

It also creates power.

And power can be abused.

In September 2025, some Lagos drivers protested a reported doubling of weekly remittances on certain vehicles. Drivers argued that the increase was unaffordable; reports said Moove attributed the adjustment to inflation and higher operating costs.

I do not know enough about those individual contracts to adjudicate the dispute.

But the lesson travels. A closed payment loop can be a moat. It can also become a chokehold.

An energy company deducting payments from a merchant’s settlement account must make pricing transparent, keep service standards enforceable and provide sensible restructuring mechanisms when reality departs from the model.

Otherwise “embedded finance” becomes a polite phrase for ensuring the customer experiences the downside first.

The company must be bankable.

The customer must also survive.

These are not competing objectives, no matter what the model says in Cell F97.

The autonomous bet is still a bet

It is also worth saying plainly that Moove’s $2.1 billion valuation is not proof that every part of this strategy will work.

A private valuation is a negotiated price in a funding round. It is not a public-market referendum delivered by God.

Autonomous mobility could scale more slowly than expected. Depot infrastructure could be built ahead of utilisation. Technology partners could internalise more operations. Regulations could change. Fleet economics could disappoint.

The capital intensity could become a strength or a spectacularly expensive problem.

Moove is making a large strategic bet that autonomous-driving companies will prefer to focus on software and passenger networks while specialist infrastructure operators own and manage much of the physical layer.

That thesis is credible.

It is not inevitable.

The relevant lesson is not “copy everything Moove does”.

The lesson is to understand the sequence that earned Moove the right to make the bet.

It did not begin by constructing robotaxi depots and waiting for autonomy to arrive.

1. It began with 76 productive assets attached to existing demand.

2. It built operating capability.

3. It accumulated data.

4. It raised increasingly sophisticated capital.

5. It expanded across markets.

6. It bought complementary technology.

7. It became useful to larger platforms.

8. Then it moved into the next infrastructure layer.

9. The order matters.

Build the staircase before announcing the penthouse.

What the billion-dollar energy company actually looks like

It probably does not describe itself as a solar developer.

It may begin there.

But eventually it becomes the operating and financing layer beneath productive energy demand.

It works with networks rather than isolated customers. It sees the demand before funding the asset. It measures actual performance. It standardises deployment. It owns or controls the payment mechanism. It operates the equipment rather than disappearing after commissioning. It separates the capital used to build the platform from the capital used to own mature assets. It refinances proven portfolios into cheaper, preferably local-currency, institutional debt. And it uses every operating asset to improve the underwriting of the next one.

Its flywheel looks like this:

Productive demand
→ financed energy asset
→ reliable operations
→ controlled payment
→ verified performance data
→ cheaper capital
→ more productive assets.

Eventually, the company becomes indispensable to the network.

The retailer does not call it to buy panels. The retailer expects its sites to have power.

The logistics platform does not negotiate separately for chargers, batteries, grid connections and fleet-energy software. The infrastructure layer handles it.

The industrial park does not assemble five vendors every time a new tenant arrives. The platform delivers power, thermal energy, cooling or storage under a standard service architecture.

Customers buy uptime.

Capital providers buy predictable cash flows.

The platform owns the knowledge between the two.

That is the company. Not the panel. Not the battery. Not even the electrons.

The machine around them.

Start with the work

Moove’s original genius was not recognising that people needed cars. Everyone could see that. It recognised that the work already existed. The passengers were already requesting trips. The drivers were willing to drive. The cars were the missing productive infrastructure.

So Moove financed the missing thing, connected it to the existing work, captured repayment from the resulting cash flow, and operated enough of the system to keep the loop functioning.

That is the playbook.

• Find the work.

• Finance the tool.

• Control the cash flow.

• Keep the tool productive.

• Learn from every cycle.

• Use the learning to reduce the cost of the next tool.

• Then follow the bottleneck.

The next billion-dollar African energy company may not begin with a billion-dollar pipeline.

I hope it does not.

It may begin with 76 systems inside one productive network. Seventy-six sites that are properly metered. Seventy-six customers whose payments can be observed. Seventy-six assets using standard equipment. Seventy-six maintenance histories. Seventy-six pieces of evidence that reliable energy improves productive activity and that somebody will pay for it.

Then 760.

Then a local-currency warehouse facility.

Then 7,600.

Then the next infrastructure bottleneck.

The headlines will eventually call it an energy unicorn.

They will write about the valuation. The investors. The geographic footprint. The founders smiling in company hoodies.

And somewhere in the announcement there will be a photograph of a very large facility with a name invented by a branding consultant.

But the company will have been built years earlier. Inside the first small, boring, functioning loop.

Moove’s first productive asset happened to have four wheels. The next one may have panels on the roof and a battery in the yard.

The car was never the company.

The loop was.

And the panel will not be the company either.

-S

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P.S. Yes, the correct valuation is $2.1 billion, not $2.5 billion. I have corrected it before anyone from Moove’s finance team sends me a reconciliation schedule.

P.P.S. I remain disappointed that I could not construct a respectable acronym from MOOVE. “Monetise, Originate, Operate, Verticalise, Engineer” sounds like something consultants would charge $600,000 to place inside a pentagon. We have suffered enough.

P.P.P.S. Moove’s latest numbers are company-reported. Private-company revenue, valuation and operating metrics should always be read with the normal amount of adult caution. The strategic pattern is the subject here, not an investment recommendation.

P.P.P.P.S. Found an error? Excellent. The comment section remains smarter than the author. Please correct me before this becomes MOOVE_Thesis_v19_FINAL_FINAL_UseThisOne.docx.

Not financial, legal or investment advice. Also not mobility advice. I cannot drive in Lagos without becoming a worse person. Read this as research, strategy and one energy professional thinking too loudly on the internet.