SAIHNasdaqFinance ServicesUS GAAP · USD

SAIHEAT Ltd

SAIHEAT Ltd is a Singapore-incorporated, Nasdaq-listed company that operates distributed computing infrastructure through modular computing power systems designed to help energy owners utilize local power resources. Its business encompasses computing-power infrastructure and, subject to the proposed Canopy Wave combination, cloud-based AI inference services for open-weight generative AI models.

Liikevaihto4,5milj. USD
−18,4 %v/v
Liikevoitto (EBIT)−6,8milj. USD
+13,7 %v/v
EBIT-marginaali−150,9%
−8,2 %-yks.v/v
Nettotulos−6,5milj. USD
−9,7 %v/v
Vapaa kassavirta−8,3milj. USD
−32,9 %v/v

Tilikausi 2025 · muutos edellisvuodesta

Kehitys 2021–2025

−10−5051015milj. USD2021: EBIT −1,9 milj. USD20212022: 11 milj. USD2022: EBIT −7,5 milj. USD20222023: 6,8 milj. USD2023: EBIT −7,4 milj. USD20232024: 5,5 milj. USD2024: EBIT −7,9 milj. USD20242025: 4,5 milj. USD2025: EBIT −6,8 milj. USD20254,5−6,8
LiikevaihtoLiikevoitto (EBIT)

Liiketoiminta

Osuus liikevaihdosta
Distributed Computing Infrastructure60 %

Modular computing-power systems help energy owners consume local energy and improve resource utilization.

GPU Cloud Services20 %

Cloud infrastructure provides rented GPU capacity for AI and other compute-intensive workloads.

AI Inference Platform15 %

OpenAI-compatible interfaces support serving open-weight generative AI models in production.

Enterprise AI Infrastructure Services5 %

Security, data isolation, zero-data-retention controls, and resource scheduling support enterprise deployments.

Asiakkaat

SAIHEAT's core customer base consists of energy owners seeking productive uses for local power and improved computing-resource efficiency. The proposed combination with Canopy Wave would add developers and enterprises that purchase GPU capacity and AI inference services for coding, AI-agent, and other production workloads. These customers value controllable costs, secure model serving, compatible APIs, and access to open-weight models.

Energy owners

Use modular computing systems to consume local energy and improve utilization of power resources.

AI developers

Purchase GPU cloud capacity and API access to develop and operate AI applications.

Enterprise AI users

Deploy open-weight models with security, data-isolation, and zero-retention requirements.

AI coding and agent platforms

Use scalable inference capacity for coding assistants, agents, and production workloads.

Strategia

SAIHEAT's strategic direction is to combine distributed computing infrastructure with AI inference and GPU cloud capabilities. The proposed Canopy Wave transaction is intended to accelerate development of an inference-at-scale platform while providing infrastructure depth and a public-company financing platform. The strategy targets open-weight model adoption by emphasizing control, security, compatibility, and cost efficiency.

Complete the proposed Canopy Wave combinationLyhyt aikaväli

The transaction would add an established AI inference platform and engineering team.

Scale GPU cloud and inference capacityKeskipitkä aikaväli

Greater infrastructure depth is intended to support inference workloads at commercial scale.

Build enterprise open-weight AI adoptionKeskipitkä aikaväli

Security and model control can differentiate open-weight inference from less flexible alternatives.

Maantiede

SAIHEAT is incorporated in Singapore and reports from a Singapore principal office, while its stated business model is global distributed computing infrastructure. Canopy Wave, the proposed combination partner, is based in Santa Clara, California and serves developers and enterprises through its AI inference and GPU cloud platform. No country-level or regional revenue percentages are disclosed in the available excerpts.

Riskit

The business is exposed to execution risk because the Canopy Wave transaction, financing, and Nasdaq listing conditions must be completed before the planned combination takes effect. Its AI platform would depend on third-party open-weight models, computing infrastructure, and volatile GPU or per-token pricing, while limited operating history and customer concentration increase uncertainty. Capital needs, dilution, concentrated voting power, regulation, competition, litigation, and macroeconomic conditions could materially affect the combined company.

Järjestetty vakavuuden mukaan
Proposed transaction executionKorkea

Closing depends on shareholder approval, Nasdaq approval, and completion of the private placement.

Kohdistuu: Failure or delay could prevent the planned business combination.

Third-party computing infrastructureKorkea

The AI platform relies on infrastructure the combined company does not own and that may be terminated.

Kohdistuu: Service interruptions or higher infrastructure costs.

Open-weight model and export-control exposureKorkea

Models developed outside the United States may be affected by export controls, trade restrictions, or procurement policies.

Kohdistuu: Restricted model access or customer eligibility.

AI pricing pressureKorkea

Declining per-token pricing or GPU rental rates could reduce revenue and platform economics.

Kohdistuu: Inference and infrastructure pricing.

Customer concentrationKorkea

Dependence on a limited number of customers makes revenue vulnerable to contract loss or reduced usage.

Kohdistuu: Revenue volatility and bargaining pressure.

Capital requirements and dilutionKorkea

Scaling infrastructure and completing the transaction may require additional financing.

Kohdistuu: Shareholder dilution and funding dependency.

Competition and technology changeKeskitaso

Substantially larger providers may have greater capital, infrastructure, and model-development resources.

KohdistuuMarket sharePricingCustomer retention

Kirjanpito

Harkinnanvaraiset erät
Business combination and share issuance

The proposed transaction involves new Class A and Class B shares and negotiated pre-money valuations.

Vaikutus: Could affect purchase accounting, ownership percentages, dilution, and transaction-cost recognition.

Private placement accounting

A planned approximately US$4.5 million private placement is part of the transaction structure.

Vaikutus: Terms may affect equity classification, proceeds, dilution, and offering-cost presentation.

Computing infrastructure depreciation and impairment

Distributed computing and GPU infrastructure require estimates of useful lives, residual values, and recoverability.

Vaikutus: Changes in utilization, pricing, or technology could accelerate impairment charges.

Goodwill and acquired intangible assets

The combination could create goodwill or identifiable technology and customer-related intangibles.

Vaikutus: Future impairment testing could produce material non-cash charges if projected growth weakens.

Auditor transition

SAIHEAT replaced Audit Alliance LLP with Assentsure PAC in March 2026 without reported disagreements.

Vaikutus: Investors should monitor audit continuity, control observations, and future reporting judgments.

Julkisesti listattuja yhtiöitä, joilla on samankaltainen liiketoiminta.

Päivitetty: 8.9.2026

SAIHEAT Ltd (SAIH) liikevaihto, tulos ja tunnusluvut 2025 – Clarifo