Full Transcript: Alpha Compute FY 2026 Earnings Call
Alpha Compute (NASDAQ: ALP ) held its full-year earnings conference call on Wednesday. Below is the complete transcript from the call. This transcript is brought to you APIs. For real-time access to our entire catalog, please visit for a consultation. The full earnings call is available at Summary Alpha Compute Corp reported a net loss of $38.6 million for the fiscal year ending March 31, 2026, largely due to transition costs and one-time charges. The company has successfully pivoted from a digital asset treasury to an AI infrastructure firm, securing a $32.2 million contract and a $200 million qualified pipeline. Alpha Compute Corp has rebranded and focused on vertically integrated AI infrastructure, owning GPU...
Alpha Compute (NASDAQ: ALP ) held its full-year earnings conference call on Wednesday.
Below is the complete transcript from the call.
This transcript is brought to you APIs.
For real-time access to our entire catalog, please visit for a consultation.
The full earnings call is available at Summary Alpha Compute Corp reported a net loss of $38.6 million for the fiscal year ending March 31, 2026, largely due to transition costs and one-time charges.
The company has successfully pivoted from a digital asset treasury to an AI infrastructure firm, securing a $32.2 million contract and a $200 million qualified pipeline.
Alpha Compute Corp has rebranded and focused on vertically integrated AI infrastructure, owning GPU hardware and data centers, and offering confidential computing solutions.
The company has brought 120 million users into its ecosystem through a gaming acquisition and is constructing additional GPU clusters in Canada and Sweden.
Management is addressing going concern conditions with new contracts and expects a $21 to $23 million annualized revenue run rate in the current fiscal year.
Full Transcript OPERATOR Before we begin, I'd like to remind everyone that today's call may contain forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 and applicable securities laws in Canada and the British Virgin Islands.
These statements are based on management's current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially from those expressed or implied, including the risk factors described in the Company's annual report on Form 20-F for the fiscal year ended March 31, 2026, and in the Company's other filings with the SEC.
The Company undertakes no obligation to update these statements except as required by law during today's call.
Management may refer to contracted revenue, projected revenue, qualified pipeline, and other company estimates.
These figures are estimates only.
We are not and are not a guarantee of future results and should be read together with the risk factors in our filings.
With that, I'll turn the call over to Brittany Kaiser.
Ian Walters, CEO Thank you, John, and thank you all for joining us.
This is our first earnings call as Alpha Compute Corp, and I want to start by explaining why that matters and what we are actually building here.
A year ago, this company had no compute infrastructure, no confidential computing platform, no revenue, and no presence in the AI industry.
Today, we own and operate GPU infrastructure in two countries.
We have our first enterprise customer live and generating revenue, and we have brought more than 120 million users into our ecosystem through the gaming acquisition.
I'm not saying that to suggest we have arrived.
I'm saying it because the pace of that change is the context every investor needs in order to correctly read our fiscal 2026 results, which do, on their own, tell only part of the story.
The thesis behind Alpha Compute is straightforward.
Artificial intelligence today runs largely on infrastructure controlled by a small number of hyperscale cloud providers for regulated industries, healthcare, financial services, government, defense.
That arrangement is a real problem.
These institutions cannot put their most sensitive data and models onto shared infrastructure.
They do not fully control and cannot independently verify commodity GPU.
Cloud providers do not solve this either because they compete on price and scale, not on data isolation.
Our answer is to own the hardware ourselves and to build privacy into it at the chip level through confidential computing and trusted execution environments so that even we, the infrastructure operator, cannot see what is running on our own GPUs.
That is a different kind of guarantee than a contract or a privacy policy is enforced by the code that controls the hardware itself.
We believe that is the layer this industry is missing and we believe owning it rather than renting it is what lets us build a lasting business on top of it.
From confidential inference and training to the applications that run natively on our network.
I want to be direct about where we are on our journey.
We are an early-stage company.
Our fiscal 2026 results reflect a company that spent a year in transition, first taking over a biotech NASDAQ-listed company that was $4 million in unpaid debts and ran out of money.