DG Matrix: How a $60M Infrastructure Startup Discovered Its Channel Strategy Was Really a Balance Sheet Problem
A buyer sits across the table from Haroon Inam. They've seen the product. They're impressed. The technology works. The team is credible. And then the question comes: "Have you deployed a gigawatt anywhere?"
The answer is no.
That moment — the gap between product conviction and enterprise trust — is the central tension DG Matrix has been navigating since it pivoted from fleet electrification to AI data center power infrastructure. Haroon is CEO of a company that just closed a $60M raise backed by ABB and Mitsubishi Heavy Industries, with a pipeline of deals ranging from $50M to a few hundred million dollars each. But getting here required dismantling almost every assumption they started with about how to sell.
In a recent episode of Unicorn Builders, Haroon shared the decisions, failures, and frameworks behind DG Matrix's go-to-market evolution.
The Pivot That Wasn't a Clean Break
DG Matrix built its core behind-the-meter power architecture for fleet electrification. They spent years courting customers, running pilots, and building a pipeline with nine-figure deals on the table. Then a major GPU manufacturer called. Had DG Matrix thought about adapting the architecture for data centers? That was nearly two years before this conversation. Today, data centers represent 80 to 90% of the company's focus.
But Haroon made a deliberate choice not to kill the original market: "We classified that as a general electrification market and we're not going to abandon our customers. It may be smaller volume right now, but we believe over time it's going to grow."
The decision reflects a specific constraint: DG Matrix built a platform that serves both markets without modification. Abandoning early customers to chase a larger opportunity would have destroyed the reference base they'd need when data center buyers asked for proof of deployment history.
When the Channel Strategy Broke
The initial go-to-market logic was standard: go direct for large enterprise, use channel partners for smaller customers. It broke in practice — not because of reach, but because of balance sheet.
"A lot of large customers have large orders to give and we won't have a balance sheet that'll allow us to take an order like that, not in their eyes. So we then have to adjust where we find channel partners to carry the orders on their books."
Most early-stage enterprise startups treat channel partners as a distribution mechanism. DG Matrix discovered they're also a financial instrument. A buyer placing a nine-figure infrastructure order needs to know the vendor can absorb it. A startup with a strong product but a thin balance sheet fails that test regardless of what the product does.
The structural fix: bring the channel partners onto the cap table before using them for distribution. ABB and Mitsubishi Heavy Industries are now investors. "They have gangs of PhDs and engineers to vet this out, but they also have global fleets of people to deploy this everywhere and to service it everywhere." Credibility, deployment infrastructure, and financial weight — one move.
The Objection-Log Closing System
With deal sizes this large, conventional sales motion breaks down. Haroon runs a different system entirely.
"My way of closing deals, Brett, is very simple. I close deals by objection handling. So when you listen to the objections from the customers, just note them down, don't freak out and come back and methodically solve those things in a solid fashion. And if there's a need, you'll get the order."
The discipline is in the sequencing. Most salespeople handle objections in the room — reactively, often unconvincingly. Haroon's approach separates the listening from the solving. You leave with the objections documented. You return with methodical answers. The deal follows the solved problems.
The most common objection DG Matrix faces isn't price. It's scale proof. Buyers want to know if a company that hasn't yet deployed at gigawatt scale can reliably get there. The answer can't be a promise — it has to be evidence. When you lack field evidence at scale, the counter is pedigree transfer: aerospace-grade power electronics for Boeing aircraft and military programs. Adjacent proof from equally high-stakes environments.
Bankability Is a Sales Problem, Not a Finance Problem
One GTM blocker that rarely shows up in sales playbooks: insurability. In infrastructure deals, buyers need to know the product can be financed and insured at scale before they commit. This isn't a procurement formality — it's a hard gate.
DG Matrix is solving it through three levers: white-label agreements with large international conglomerates, VCs who have prior experience structuring deals with specialized insurers and banks, and cybersecurity architecture designed in from the beginning. "To have all the documentation in place, make sure you have your cyber security thought out from day zero. Because if you're supplying something for energy security, you can't have third party actors hack into it."
For any startup selling into regulated or high-stakes infrastructure markets, bankability and insurability need to be part of the GTM motion from day one — not retrofitted after a deal stalls.
What the Crawl-Walk-Run Sequence Actually Requires
A nine-figure infrastructure deal doesn't begin with a signed contract. It begins with disbelief. "It's mostly starts off in a way like do you really have this?"
The sequence to move a buyer from skepticism to commitment requires five things layered in order: product demonstration, team credibility, financing proof, clean legal structure, and a technical and commercial risk mitigation framework the buyer can accept. Only after all five are on the table does the pilot conversation begin.
"You also have to have an excellent process for solving field issues in a very fast fashion. And if you don't, you're not going to get follow on deals."
The pilot isn't a proof of concept. It's an audition for the follow-on order. Speed of issue resolution during the pilot is the actual product being evaluated — and everything that comes after depends on it.
DG Matrix is targeting $1B in revenue in four to seven years. The pipeline is real. The GTM infrastructure that makes it executable — channel-as-balance-sheet, objection-log closing, bankability-first design — was built through failures that forced each lesson into the system.