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AIxBlock Inc: Valuation, Funding & Investors

N Wolfe Rd Sunnyvale, California 94085, UShttps://aixblock.io/Blockchain Infrastructure

AIxBlock Inc develops platform solutions that integrate artificial intelligence with blockchain technologies to enable secure, auditable, and decentralized AI workflows. The company focuses on verifiable model and data provenance, secure model deployment, and infrastructure that combines on-chain governance with off-chain AI computation.

Leadership & Board

Current Number of Employees: 67
Current LinkedIn Followers: 8,637

Latest Estimated Valuation

Total Amount Raised: $2M
Total Funding Rounds: 1
Latest Funding Amount: $2M
Latest Funding Round: Investment

Company Momentum Positive

Articles Published on TipRanks4

LinkedIn Trend0.02% followers

Workforce Trend+0.0% employees

AIxBlock Inc LinkedIn following is relatively stable, while its workforce is growing, indicating business expansion.

Employee Trend

AIxBlock Inc had 67 employees as of October 26, 2026. The number of employees increased by 0 (0.00%) week-over-week.

67Latest Employee Count

0(0.00%)Week-Over-Week Change

Social Trend

AIxBlock Inc had 8,637 followers as of October 26, 2026. The number of followers decreased by 2 (0.02%) week-over-week.

8,637Latest Followers Count

2(-0.02%)Week-Over-Week Change

Funding Round

Funding Date	Funding Round	Amount Raised	Post-Money Valuation
Sep 04, 2025	Investment	$1.70M	―

Investors

Investor Name	Funding Round
European Union	Investment

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Related News and Analysis

AIxBlock Emphasizes Distinct Audio Attack Classes for Voice Security Evaluation

AIxBlock Emphasizes Distinct Audio Attack Classes for Voice Security Evaluation

According to a recent LinkedIn post from AIxBlock Inc, the company distinguishes between three categories of audio-based threats: text-to-speech, voice conversion, and replay attacks. The post emphasizes that these mechanisms

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AIxBlock Emphasizes Granular Data Rights Governance for AI Deployment

AIxBlock Emphasizes Granular Data Rights Governance for AI Deployment

According to a recent LinkedIn post from AIxBlock Inc, the company is emphasizing the complexity of data rights in AI development and deployment. The post highlights that individual datasets can

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AIxBlock Emphasizes Data Coverage Strategy for AI Model Performance

AIxBlock Emphasizes Data Coverage Strategy for AI Model Performance

According to a recent LinkedIn post from AIxBlock Inc, the company is emphasizing the difference between simply increasing data volume and improving data coverage for AI models. The post explains

4d ago

AIxBlock Inc Emphasizes Robust Data Quality Controls for AI Training

AIxBlock Inc Emphasizes Robust Data Quality Controls for AI Training

A LinkedIn post from AIxBlock Inc highlights the company’s focus on tailored quality assurance frameworks for different types of AI training data. The post outlines distinct QA criteria for speech

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AIxBlock Highlights Enterprise-Focused Standards for AI Data Sourcing

AIxBlock Highlights Enterprise-Focused Standards for AI Data Sourcing

According to a recent LinkedIn post from AIxBlock Inc, the company is emphasizing due‑diligence standards for enterprises purchasing AI datasets. The post outlines five key evaluation areas: usage rights, data

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AIxBlock Emphasizes Behavior-Focused Data Workflows for LLM Post-Training

AIxBlock Emphasizes Behavior-Focused Data Workflows for LLM Post-Training

A LinkedIn post from AIxBlock Inc highlights a nuanced view of data requirements for large language model post-training. The post suggests that focusing solely on prompt-response pairs overlooks other critical

1w ago

AIxBlock Emphasizes Real-World Testing Frameworks for Voice AI Models

AIxBlock Emphasizes Real-World Testing Frameworks for Voice AI Models

A LinkedIn post from AIxBlock Inc highlights the challenges of evaluating voice models under real-world conditions. The post describes five critical audio factors for testing Voice AI systems, including background

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AIxBlock Highlights Client-Controlled Data Architecture for Enterprise AI Governance

AIxBlock Highlights Client-Controlled Data Architecture for Enterprise AI Governance

According to a recent LinkedIn post from AIxBlock Inc, the company is emphasizing a distinction between data retention policies and data architecture choices in enterprise AI deployments. The post suggests

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AIxBlock Emphasizes Expert Data Annotation for High-Stakes AI Applications

AIxBlock Emphasizes Expert Data Annotation for High-Stakes AI Applications

According to a recent LinkedIn post from AIxBlock Inc, the company is drawing attention to the limits of generic data labeling in specialized or high‑stakes contexts. The post highlights areas

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AIxBlock Emphasizes Robust Evaluation Datasets for Enterprise AI Reliability

AIxBlock Emphasizes Robust Evaluation Datasets for Enterprise AI Reliability

A LinkedIn post from AIxBlock Inc highlights the importance of distinguishing between training and evaluation data in AI model development. The post emphasizes that while training data helps models learn

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