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SparkChain AI

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A decentralized network that empowers users to share their unused internet bandwidth and computing resources

United StatesHosting
Valuation $50–100M Last recorded · 2025
Total funding $10–50M Disclosed equity funding
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About SparkChain AI

SparkChain AI, founded in 2024 and headquartered in Sheridan, Wyoming, is developing a decentralized physical infrastructure network (DePIN) that aims to address the growing demand for artificial intelligence compute power. The company's co-founder and CEO is Ethan Cole. In June 2025, the firm announced a significant milestone, having raised $10.8 million in a strategic funding round led by OakStone Ventures. This capital is intended to scale its decentralized network, enhance AI processing capabilities, and forge strategic partnerships, particularly ahead of its launch on the Solana blockchain.

The core of SparkChain AI's business is a model that allows individuals and organizations to share their unused internet bandwidth and idle computing resources. Participants, or node operators, contribute these resources to a global network and, in return, earn rewards in the form of the native SPARK token. This aggregated power creates a distributed AI supercluster, designed to offer a cost-effective and scalable alternative to traditional, centralized cloud providers for tasks like AI model training, real-time inference, and data processing. The business model generates revenue from fees on transactions within the ecosystem, such as AI dApp deployments and dataset access, with a large portion of this revenue being redistributed to token stakers who help secure the network.

The company's primary service revolves around its "Sovereign Data Rollup" architecture, which orchestrates the network of contributors. Users can participate by installing a lightweight browser extension or desktop application, the Spark Lite Node, which runs in the background to collect public web data and contribute resources without accessing personal information. This process transforms unstructured web content into structured datasets suitable for training large language models (LLMs). By leveraging blockchain, specifically through the use of zero-knowledge proofs, the platform aims to ensure the provenance and integrity of the data pipeline. The service is targeted at AI developers, researchers, and enterprises who require scalable and affordable compute power.

Source: Dealroom company data

At a glance

Status
Operational
Headquarters
United States
Open positions
None listed
Dealroom signal
0.0/100
Industry
Hosting
Sector
Hosting, Decentralised Applications
Client focus
b2c

Funding history

1 recorded event

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
EARLY VCOther financing Jun 2025 $11M $43M OakStone Ventures ↗
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Growth signals

SparkChain AI website traffic

Latest recorded traffic for SparkChain AI is 1.2K monthly website visits, down 92% over the last three months.

Latest monthly visits1.2K 3-month web change-92%
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Investments and acquisitions

Capital deployed

Recent portfolio relationships for companies that also act as investors or acquirers.

Investors

1 investor on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Series A1 investor entered at this stage

  • OakStone Ventures
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Key operators Hidden — book a demo quality score
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇺🇸 United States HQ
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Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about SparkChain AI on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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