BlockchAIn Digital Infrastructure, Inc. (AIB) Company Overview

US | Technology | Software - Application | AMEX

What does AIB Data Centers do?

AIB Data Centers Inc. is a NYSE American-listed digital-infrastructure developer and operator. Its strategy is to secure utility power and land, convert powered sites into AI-ready facilities, and lease capacity to artificial-intelligence and high-performance-computing customers. Its official company profile frames the business as converting electricity into deployable compute capacity rather than owning the GPUs or AI models itself.

65 MW
Energized capacity presented in July 2026
~140 MW
Under development in the July 2026 presentation
~570 MW
Illustrative identified pipeline across six active sites
1 segment
Hosting services remain the sole reportable revenue stream in FY2025

What is the current operating footprint?

The operating base is CLT-01 in Spartanburg County, South Carolina. The 40 MW hosting site generated revenue in the latest filed quarter, and a May 2026 utility amendment increased available capacity to 65 MW. Management is converting it toward AI and HPC colocation. The July 2026 investor presentation identifies projects in Dallas-Fort Worth, Minnesota, Denver, Huntsville, and a second Charlotte-area site. Those pipeline figures are management targets, not contracted guidance.

Research item Current answer Why it matters
Official name AIB Data Centers Inc., effective June 25, 2026 The rebrand makes the AI data-center strategy explicit.
Listing NYSE American: AIB Public-market access is central to funding a capital-intensive buildout.
Core service Powered hosting, space, cooling, security, and operations Customers can bring their own servers and GPUs, limiting hardware ownership risk.
Primary customers Digital-asset operators historically; AI neocloud, enterprise, sovereign-AI, and GPU-cloud prospects strategically The transition changes contract duration, margin structure, capex, and customer-credit requirements.

How does AIB Data Centers make money?

AIB provides power, cooling, secure space, and related infrastructure, recognizing hosting revenue ratably over a contract term or from actual consumption. In the FY2025 Form 10-K, hosting services were the company’s sole revenue stream. Management wants future AI/HPC contracts to resemble long-duration infrastructure leases rather than short-cycle mining hosting.

Step 1
Secure power and site control
Executed utility agreements and controlled land are screened before major capital is committed.
Step 2
Build modular capacity
Standardized halls, electrical systems, cooling, and network access convert power into usable IT load.
Step 3
Lease to compute customers
Tenants supply GPUs and servers while AIB supplies the physical operating environment.
Step 4
Earn recurring infrastructure revenue
The target model uses long terms, annual escalators, deposits, and energy-cost pass-throughs.

Which contract economics matter most?

In Q1 2026 the average effective billing rate was about $0.064 per kWh versus energy procurement cost of $0.056, leaving roughly $0.008 per kWh before other facility costs. For AI colocation, management describes 10- to 25-year modified net leases, credit-backed tenants, annual escalators, deposits, and energy pass-throughs. These terms could reduce margin volatility, but remained under negotiation in July 2026.

93%of FY2025 revenue came from three customers, showing why tenant diversification is as important as capacity growth.
Revenue-model element Historical / current model Target AI/HPC model Analytical implication
Pricing basis Monthly hosting and consumption-based kWh billing Long-term capacity and modified net lease structures Revenue quality improves only when leases become binding and creditworthy.
Hardware exposure Infrastructure supports customer-owned equipment Owner-agnostic; tenants bring GPUs AIB avoids direct GPU obsolescence but still funds buildings and electrical systems.
Energy risk Q1 2026 costs rose faster than billing rates Pass-through energy costs are targeted Contract design determines whether power inflation compresses margin.
Customer concentration Three customers generated 93% of FY2025 revenue Multiple AI, sovereign, neocloud, and GPU-platform tenants Diversification lowers counterparty risk but requires commercial execution.

What does AIB Data Centers’ latest quarter show?

$4.913M
Revenue, Q1 2026; up 9% from $4.500M in Q1 2025
$0.570M
Gross profit, Q1 2026; down from $1.226M
$(0.273)M
Net loss, Q1 2026; versus $0.489M net income
$1.275M
Operating cash flow, Q1 2026; versus $0.411M

The quarter ended March 31, 2026 was mixed: revenue and billed energy increased, but procurement costs outpaced customer rates, compressing gross margin and producing an operating loss. The latest filed Form 10-Q for Q1 2026 shows that utilization growth is insufficient without spread protection.

Metric Q1 2026 Q1 2025 Interpretation
Revenue $4.913M $4.500M Customer-mix diversification and higher billed volume produced 9% growth.
Cost of revenue $4.343M $3.273M A 33% increase overwhelmed revenue growth.
Gross margin 12% 27% The 15-point decline reflects the power-price squeeze.
Operating result $(0.277)M $0.426M Public-company and infrastructure costs became harder to absorb.
Adjusted EBITDA $(0.153)M $0.806M The operating model was below break-even after adjustments.
Billable energy volume 77 GWh 72 GWh Volume rose about 7%, but economics per kWh weakened.

Why did margin contract despite revenue growth?

12%
Q1 2026 gross margin
The average billing rate increased only from roughly $0.063 to $0.064 per kWh, while energy cost rose from about $0.046 to $0.056. The filled arc represents gross margin; the neutral track represents the remaining revenue consumed by direct cost.

Operating cash flow of $1.275M benefited from a $1.010M receivables reduction and about $0.651M of non-cash advisory shares. Free-cash-flow extrapolation is therefore premature, especially because AI development will require far more capital than FY2025’s $0.039M of property-and-equipment purchases.

How did AIB’s strategic evolution reshape the company?

AIB is a recently listed business converting a cryptocurrency-oriented hosting asset into an AI/HPC platform, not a mature colocation operator with a long AI lease record. Its valuation therefore depends more on execution milestones than historical earnings.

  1. 2021
    One Blockchain was organized and began building the operating base that became today’s CLT-01 infrastructure platform.
  2. 2022–2024
    The South Carolina site operated primarily for digital-asset hosting, proving that the facility could generate revenue and operating cash flow but creating heavy dependence on one related-party customer.
  3. May 2025
    A restructuring around Blue Ridge Digital Mining and the purchase of 60 Antbox containers aimed to alter tenancy economics and reduce reliance on one anchor relationship.
  4. March 2026
    The business combination with Signing Day Sports closed, AIB became the public parent, and trading began on NYSE American. Public capital access became part of the operating model.
  5. May 2026
    An amended utility agreement increased CLT-01 power availability from 40 MW to 65 MW, giving the conversion strategy a larger energized base.
  6. June–July 2026
    A $63.25M gross equity raise, the AIB Data Centers rebrand, and a refreshed 570 MW pipeline presentation shifted the story from legacy hosting to power-first AI infrastructure.

What changed economically after the public listing?

The reverse merger created about $19.0M of identifiable intangibles and lifted assets to $36.3M at March 31, 2026 from $17.3M at year-end 2025. It also added public-company costs and equity-market access. The June offering supplied about $59.1M of net proceeds after the full over-allotment, exchanging dilution for capital to pursue sites beyond the reach of AIB’s historical cash balance.

Why is secured power the core asset in AIB’s strategy?

High-density computing requires utility capacity, substations, switchgear, cooling, fiber, permits, and a credible energization schedule. AIB’s three-gate process—power agreement, land control, and interconnection—aims to avoid sites that cannot become revenue-producing capacity. Its official portfolio page and July presentation position powered locations as the scarce input around which the rest of the platform is built.

Illustrative site capacity in the July 2026 pipeline
DEN-01200 MW
CLT-02100 MW
MSP75 MW
HSV-0175 MW
CLT-0165 MW
DFW-A expansion40 MW
DFW-A Phase I15 MW
Bars are scaled to the largest proposed site. The 570 MW total is an illustrative management pipeline, subject to site acquisition, permitting, utility performance, financing, leasing, and return thresholds.

Can CLT-01 bridge the gap from plan to proof?

Energized base
65 MW utility load
Expanded by 25 MW under the May 2026 electrical service agreement.
Design target
150+ kW per rack
Management’s July 2026 specification for high-density liquid-cooled deployment.
Efficiency target
1.3 PUE
A design target, not yet a reported operating result for the converted AI facility.

CLT-01 is energized and operating, which can shorten development versus a greenfield site, although conversion still needs capital and signed tenancy. AIB says a 50 MW IT-load lease is under negotiation for 10 years plus two five-year options, a 3% or CPI escalator, and 12 months of prepaid rent plus a deposit. Until executed, it is commercial progress, not contracted revenue.

Who are AIB Data Centers’ competitors, and what could differentiate it?

AIB competes for power, land, electrical equipment, construction capacity, financing, and creditworthy tenants. Its FY2025 filing identifies data-center REITs, developers, hyperscalers, and bitcoin miners with HPC-suitable assets. The July presentation cites Hut 8, IREN, Core Scientific, TeraWulf, Cipher Mining, Applied Digital, and CoreWeave as peers, although AIB is materially smaller.

Competitive group Their advantage AIB’s intended response Remaining gap
Large data-center REITs Scale, tenant relationships, financing access, operating track record Target sub-150 MW midmarket projects and faster modular delivery AIB lacks comparable portfolio diversification and investment-grade depth.
AI infrastructure developers Established construction pipelines and cloud contracts Power-first sourcing and owner-agnostic colocation Commercial conversion and funding must catch up with the pipeline.
Mining-to-HPC converters Existing power, sites, and energized facilities CLT-01 conversion plus a multi-market site funnel Many peers are pursuing the same conversion opportunity.
Hyperscalers Capital, technical expertise, and internal demand Serve neocloud, sovereign-AI, and enterprise customers below hyperscale size Tenant credit and technology requirements remain demanding.

What is the credible moat today?

AIB lacks a demonstrated network effect, broad switching costs, or a large stabilized portfolio. Its narrower advantages are an energized site, expanded electrical service, power-intensive operating experience, modular design, and management relationships. These resources become defensible only if they produce scarce utility access and signed leases before competitors secure the same inputs.

Higher power readiness / Lower current scale
AIB’s current position: 65 MW energized, but only one operating campus and a pipeline that is largely prospective.
Higher power readiness / Higher current scale
Established data-center and converted-infrastructure peers with multiple operating sites and stronger capital access.
Lower power readiness / Lower current scale
Early developers holding land or studies without firm utility capacity.
Lower power readiness / Higher current scale
Large technology or real-estate platforms whose growth can still be constrained by interconnection queues.
AIB’s prospective moat is not the building shell; it is the combination of deliverable power, build speed, tenant credit, and disciplined financing.

How strong are AIB’s balance sheet, cash flow, and capital allocation?

Before the June raise, liquidity was the central constraint. At March 31, 2026, AIB had $1.252M of cash, $3.681M of current assets, $8.691M of current liabilities, $36.257M of assets, $9.080M of liabilities, and $27.177M of equity. Intangibles and goodwill were $23.829M, making tangible operating assets much smaller than reported assets.

Financial signal FY2025 / Dec. 31, 2025 Q1 2026 / Mar. 31, 2026 What changed
Revenue $18.517M $4.913M for the quarter Q1 revenue grew 9% year over year, but annual scale remained small.
Gross margin 19% 12% Energy procurement costs compressed the spread.
Net result $(0.835)M $(0.273)M The business remained unprofitable in the latest annual and quarterly periods.
Operating cash flow $2.336M $1.275M Positive cash flow was supported by working-capital and non-cash items.
Cash $0.015M $1.252M Still insufficient for the stated development ambitions before the offering.
Stockholders’ equity $7.859M $27.177M Reverse-merger recapitalization increased reported equity.

How did the June 2026 offering change the funding picture?

AIB sold 38,333,333 shares at $1.65 after full exercise of the underwriter option, producing about $63.25M gross and $59.1M estimated net proceeds. The June 2026 offering prospectus allocates proceeds to working capital, growth capex, and general corporate purposes. Pro forma cash was about $60.4M as of March 31, 2026.

Post-offering common-share composition
Pre-offering shares — 37.646M, about 49.55% of 75.979M
June offering shares — 38.333M, about 50.45%
The equity raise roughly doubled the share count. It materially improved liquidity while diluting prior holders.
Near-term liquidity after offeringImproved
Current operating profitabilityWeak
Funding relative to 570 MW ambitionIncomplete
Traditional debt burden at Q1 2026Low

The scorecard is an analytical interpretation of official filings, not a credit rating. Development capital requirements can rise well beyond current cash as multiple sites move into construction.

Who owns AIB stock, and why does governance matter?

Ownership was concentrated before the June offering. The 2026 proxy statement, reported, as of April 17, 2026, that Jerry Tang-controlled entities held 26,297,214 of 37,646,133 shares, or 69.85%. COAT Family LLC held 8.46%, while directors and officers as a group held 69.96%.

Holder / group Shares Proxy-period stake Governance implication
Tiger Cloud LLC 15.101M 40.11% Jerry Tang held voting and dispositive power through his managing-member role.
VCV Digital Solutions LLC 11.196M 29.74% Combined with Tiger Cloud, this created majority voting influence.
Jerry Tang, beneficial ownership 26.297M 69.85% Strategy, board outcomes, and related-party oversight were heavily founder-influenced.
COAT Family LLC 3.188M 8.46% The only other greater-than-5% holder identified in the proxy.

How did the offering affect control?

The June issuance increased common shares to about 75.979M. If Tang-controlled holdings remained 26.297M, their mechanical stake would be roughly 34.6%—a calculation, not a post-offering ownership filing. Influence appears lower than pre-offering majority control but still substantial. Related-party balances, Blue Ridge Digital Mining, and management-controlled affiliates remain relevant.

Board structure
5 directors
The post-combination board includes three directors serving on the audit, compensation, and nominating committees.
Committee independence
3 independent members
The proxy states that each committee member met applicable NYSE American independence standards.
Internal controls
2 material weaknesses
Q1 2026 disclosure cited segregation-of-duties limits and insufficient written accounting, IT, and reporting procedures.

Leadership is central. The official management page emphasizes infrastructure finance, data-center construction, cloud sales, and operations. The team should be judged against execution, related-party governance, and remediation of control weaknesses.

What opportunities and risks could change AIB’s outlook?

The upside is conversion from concentrated, low-margin mining hosting into long-duration AI leases with stronger tenant credit, energy pass-throughs, and escalators. The downside is that pipeline megawatts remain presentations while costs, dilution, and construction commitments arrive first.

CLT-01 lease execution
A binding 50 MW lease would transform an under-negotiation concept into contracted demand.
Energy pass-through terms
Q1 2026 showed that fixed billing against rising power costs can destroy margin.
Power-to-revenue timing
The gap between secured utility load, lease signing, construction, and revenue start drives cash burn.
Tenant credit quality
Long leases are valuable only when counterparties can fund GPUs and honor commitments.
Factor Opportunity Risk Financial line affected
AI power demand Scarce energized capacity can support pricing and occupancy. Competitors are pursuing the same power-constrained markets. Revenue per MW, lease duration, development returns
Construction execution Modular 10 MW halls may shorten delivery. Equipment, permitting, contractors, and interconnection can delay revenue. Capex, working capital, depreciation, cash burn
Customer mix AI and sovereign-cloud tenants could diversify the base. FY2025 still had 93% of revenue from three customers. Receivables, utilization, pricing power, bad-debt exposure
Capital access The June raise creates a larger development runway. The 570 MW plan may require additional equity, debt, or project partners. Share count, interest expense, ownership dilution
Governance and controls Independent committees can strengthen oversight. Related-party complexity and material weaknesses increase reporting risk. Audit cost, financing confidence, valuation discount
Legacy mining exposure Existing hosting keeps a revenue base during conversion. Bitcoin economics, mining regulation, and customer distress can still affect demand. Utilization, hosting revenue, contract liabilities

The company’s June 2026 corporate update explicitly lists utility performance, permits, interconnection timing, tariff changes, equipment availability, contractors, tenant attraction, and broader market conditions as uncertainties. Those risks are not generic; each can postpone the date when capital starts generating lease cash flow.

Why does AIB’s business model matter for valuation?

A DCF based only on FY2025 earnings would miss the transition, while valuing the full 570 MW pipeline would overstate certainty. A milestone model should distinguish operating capacity, secured power, site control, negotiations, signed leases, construction, energized IT load, and stabilized occupancy, assigning each a different probability and capital need.

Revenue per energized MW
Links physical capacity to monetization; historical mining rates should not be assumed for AI leases.
Gross spread after power
Q1 2026 implied only about $0.008 per kWh between billing and energy procurement before other costs.
Capex per delivered MW
Determines how much additional financing and dilution the portfolio may require.
Lease-adjusted occupancy
Contracted utility capacity has limited value until IT load is leased, built, and revenue-producing.
Free cash flow conversion
Operating cash flow minus development capex will likely be negative during expansion even when EBITDA improves.
Fully diluted share count
The June raise, representative warrants, equity plan, and potential earnout shares affect per-share value.

Which assumptions are most sensitive?

Key sensitivities are lease conversion, revenue timing, tenant credit, build cost, energy pass-through, stabilized margin, and reinvestment. The July 2026 presentation illustrates growth from 65 MW energized to about 570 MW across six active sites, but labels timing as illustrative. Each site should therefore be probability-weighted until cash flows are contracted and funded.

Evidence already established
40 MW operating history
The South Carolina facility generated $18.517M of FY2025 revenue and $2.336M of operating cash flow.
Evidence still required
AI lease cash flow
No stabilized AI/HPC lease revenue was reported in the latest filed quarter.

The most recent July 2026 Form 8-K confirms that the presentation is summary information to be read with SEC filings. That distinction matters: pipeline slides help define possible scale, while filed contracts and financial statements determine what belongs in a base-case forecast.

What is the key takeaway from AIB Data Centers analysis?

AIB is an early-stage infrastructure conversion story. It has an operating asset, hosting revenue, positive operating cash flow in FY2025 and Q1 2026, 65 MW energized, and stronger post-offering liquidity. Against that stand weak margins, customer concentration, no stabilized AI lease economics, heavy development needs, related-party complexity, and a pipeline far larger than the operating base.

What should students, researchers, and investors monitor next?

Signed CLT-01 lease
Confirm capacity, term, pricing, escalator, deposit, power pass-through, and tenant credit.
Construction notice to proceed
Shows when capital commitments and the revenue-start clock become tangible.
Q2 and Q3 gross margin
Tests whether the Q1 energy-cost squeeze persists or is mitigated.
Cash use after the offering
Separate site acquisition, equipment deposits, construction, corporate overhead, and working capital.
Ownership filings
Update the post-offering control picture and any new greater-than-5% holders.
Control remediation
Track hiring, documented procedures, segregation of duties, and auditor commentary.
Pipeline conversion
Measure identified megawatts that move into site control, firm power, signed lease, and revenue.
Additional financing
Assess project debt, joint ventures, customer prepayments, or further equity dilution.
Final synthesis
AIB’s importance lies in its attempt to turn an energized mining-hosting site and a power-development pipeline into long-duration AI infrastructure. The thesis strengthens when negotiated leases become binding, power costs become pass-through, delivered megawatts earn acceptable returns, and governance controls mature. It weakens if development capital is spent faster than leases convert, if tenant concentration persists, or if construction and interconnection delays force repeated dilution.

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