Company Overview
Founded in 2022 and headquartered in Los Angeles, California, USA, EQTY Lab AG is a technology company focusing on AI governance and security. In just a few years, the company has established itself as a leader in AI trusted computing, with a core mission to build trusted AI systems through innovative technology solutions, with a particular focus on the needs of highly regulated industries such as finance, healthcare and the public sector. As an industry thought leader, company founder and CEO Jonathan Dotan proposed the revolutionary concept of “verifiable computing”, combining cryptography technology with hardware security to provide unprecedented transparency and auditability for AI systems.
Unlike traditional AI security companies, EQTY Lab has taken a full-stack technology route, building a complete trusted AI technology stack from the hardware layer (in cooperation with Intel and NVIDIA), cryptographic middleware to application layer governance tools. This vertical integration capability enables it to provide an end-to-end AI integrity solution, including four core functions: certification system, accelerated compliance, risk minimization and value building. The company’s innovative approach organically combines machine automation with human supervision processes to provide reliable AI trust building solutions for various industries, helping companies meet increasingly stringent regulatory requirements while enjoying the advantages of AI technology.
EQTY Lab’s technology vision stems from a deep insight into AI supply chain risks. According to its research, 91% of organizations have experienced supply chain attacks on traditional software systems, and this problem has become more serious in the context of increased autonomy of AI agents. The company’s proposed solution not only focuses on static model security, but also emphasizes dynamic verification and governance at runtime, which distinguishes it from most AI security providers in the market. Through cooperation with blockchain platforms such as Hedera Hashgraph, EQTY Lab further introduces decentralized trust mechanisms into AI governance, creating a unique competitive advantage.
Jonathan Dotan is the founding director of the Starling Lab at Stanford University and the University of Southern California, which focuses on applied research in the field of decentralized networks and human rights. And founded EQTY Lab in 2022, a company dedicated to building an integrity tool suite for transparent and collaborative AI models.
Figure 1 Jonathan Dotan, Founder and CEO of EQTY
Technology and Products
1. AI Integrity Suite: Full life cycle governance platform
AI Integrity Suite is the flagship product of EQTY Lab and represents the most comprehensive solution in the current field of AI governance. The platform combines advanced encryption technology and intelligent workflow engine to provide enterprises with governance capabilities covering every link of the AI life cycle, from data collection, model training to reasoning deployment and continuous monitoring. Its core value is to make the decision-making process of AI systems traceable and verifiable, thereby meeting the strict compliance requirements of industries such as finance and healthcare.
Governance Studio is one of the core modules of the suite, which revolutionizes the compliance process. Through an intuitive no-code interface, companies can define and implement binding security policy, automate risk assessment and compliance checks. Of particular note is the way its Policy as Code is implemented, which transforms complex regulatory requirements into executable machine rules, significantly reducing compliance costs. For example, the transparency requirements in the EU AI Act can be directly coded into a system policy to ensure that all AI operations automatically comply with regulations. All compliance records are kept in a tamper-proof format and support cross-organizational sharing, which builds a solid foundation of trust in the partner ecosystem.
Figure 2 Governance Studio Core Module
Lineage Explorer solves the long-standing “black box” problem of AI systems. The feature provides an intuitive visual interface that enables both technical and non-technical stakeholders to understand the decision path of AI systems. Unlike traditional model interpretation tools, Lineage Explorer not only shows the inner workings of the model, but also fully records full-link information such as data sources, preprocessing steps, training parameters and deployment environment. This full-stack traceability is essential to meet the “right of interpretation” requirements in regulations such as GDPR. In practical applications, the tool has been used to track the creative process of AI painting tools, allowing artists to verify how their works are used and transformed by AI systems.
Figure 3 Lineage Explorer solves the black box problem
Attribution Ledger is EQTY Lab’s innovative attempt to incentivize the ecosystem. This module is based on blockchain technology, accurately records the contributions of data contributors, model developers and operation and maintenance personnel, and supports a flexible incentive allocation mechanism. On the premise of protecting privacy, it realizes the separation of data use rights and ownership, providing a technical foundation for the data factor market. A typical case is the cooperation with Living Content. Through Attribution Ledger, content creators can clearly know how their works are used in AI training and receive corresponding compensation. This mechanism not only meets the requirements of data ethics, but also stimulates the willingness to share high-quality data resources.
Figure 4 Attribution Ledger stimulates innovative development of the ecosystem
The cross-platform capabilities of AI Integrity Suite enable it to adapt to complex enterprise IT environments. Whether deployed in an on-premises data center, private cloud or public cloud, the suite provides a consistent governance experience. Through deep integration with platforms such as Databricks and ServiceNow, enterprises can gain enhanced trustworthiness without refactoring existing AI workflows. This “Governance as a Service” Service) delivery model greatly lowers the barrier to adoption and accelerates the popularization of trusted AI in enterprises.
2. Verifiable Compute
Verifiable Compute is a breakthrough technology jointly developed by EQTY Lab, Intel and NVIDIA, representing an important advancement in the field of AI security. This technology builds a complete trusted computing system for AI workflows through hardware root of trust and advanced cryptography methods. Its core innovation lies in extending the traditional TEE (Trusted Execution Environment) to the field of AI computing, using the TDX (Trust Domain Extensions) of Intel Xeon processors and the hardware security features of NVIDIA H100/H200 GPUs to achieve anti-tampering protection for the entire training and reasoning process.
Figure 5 Hardware-level trusted computing framework jointly developed with Intel and NVIDIA
In terms of technical architecture, Verifiable Compute introduces a hardware-based AI notarization system to generate encryption proofs for each data object and code calculation. This notarization not only records the calculation results, but also captures the state of the computing environment (such as firmware version, dependency library hash, etc.), forming a complete chain of trust. In financial applications, this mechanism enables banks to prove that their credit approval AI has never been tampered with and that all decisions are based on compliance data and algorithms, effectively alleviating regulatory concerns.
Figure 6 Verifiable Compute introduces a hardware-based AI notarization system
The dynamic compliance engine is another highlight of Verifiable Compute. The component can interpret regulatory requirements such as the EU AI Act in real time and automatically verify whether the AI system complies with regulations. When an illegal operation is detected, the system can automatically stop the relevant process and trigger a repair workflow through a preset connector (such as ServiceNow). This “compliance as code” approach is particularly suitable for multinational companies, enabling them to meet the differentiated requirements of different jurisdictions at the same time.
Figure 7 Verifiable Compute’s dynamic compliance engine
In the medical field, the application of Verifiable Compute shows special value. Through this technology, hospitals can verify the reliability and fairness of third-party AI diagnostic models without exposing sensitive patient data. For example, in brain-AI research, EQTY Lab’s collaborative project with Princeton University uses this technology to ensure the privacy of brain-computer interface data and the credibility of research results. This ability is essential to promote cross-institutional collaboration in medical AI.
Verifiable Compute’s security model is optimized for the special risks of AI supply chain. It not only prevents traditional data leakage and model tampering, but also specifically deals with AI-specific threats such as “data poisoning” and “model reverse engineering”. By implementing fine-grained access control and cryptographic proof at every computational step, the system significantly increases the cost to attackers and provides enterprise-grade protection for critical AI applications. According to EQTY Lab, the confidential computing market driven by Verifiable Compute will reach $184.5 billion by 2032.
3. Hedera Consensus Service: Decentralized Audit Trail
EQTY Lab’s innovation is not only reflected in the hardware level, but also deeply explores the application of distributed ledger technology in AI governance. Through its partnership with Hedera Hashgraph, the company has integrated Hedera Consensus Service (HCS) into its product portfolio to provide an immutable audit trail for AI operations3. This combination creates a unique hybrid trust model that retains the efficiency of centralized systems while gaining the transparency of blockchain.
Figure 8 Application of Distributed Ledger Technology in AI Governance
The core value of HCS lies in its decentralized event logging capabilities. In the AI computing process, all key operations (such as model updates, data access, decision outputs) are converted into standard events and consensus is reached through the Hedera network. Each event is precisely timestamped and cryptographically signed, forming a historical record that cannot be modified later. This mechanism has been applied to European prosecutors’ justice missions in Ukraine, providing audit evidence for AI-assisted legal decisions.
Technically, HCS offers several key advantages: extremely high throughput (thousands of transactions per second), low latency (finality within 3-5 seconds) and extremely low cost (about $0.0001 per message). These characteristics make it suitable for the real-time monitoring needs of large-scale AI systems. Unlike traditional blockchain solutions, HCS does not store actual data, but only records event fingerprints, which ensures privacy and meets compliance requirements. Enterprises can choose to store complete data in private systems and only upload metadata required for audits to the chain, enabling flexible data governance.
Figure 9 HCS Key Advantages
Cross-industry applicability is another notable feature of HCS. In the financial sector, it is used to track the decision-making process of AI trading systems; in the media industry, it helps verify copyright information for AI-generated content; and in the supply chain, it records AI-driven quality inspection results. This versatility makes HCS a key component of the EQTY Lab portfolio, providing a foundational trust layer for AI applications in different scenarios.
The combination of HCS and Verifiable Compute creates a two-factor authentication mechanism: the hardware layer ensures the integrity of the computing process, and the distributed ledger ensures the non-repudiation of audit records. This defense-in-depth strategy greatly improves the overall credibility of the system and clears the way for AI deployment in high-risk industries. As global regulation of AI increases, this combination is expected to become standard for compliant AI systems.
4. ClimateGPT: Sustainable domain-specific AI
ClimateGPT demonstrates EQTY Lab’s innovative capabilities in vertical AI governance. This open source multilingual model, developed in cooperation with Abu Dhabi investment company ADQ, focuses on climate change and sustainability issues and embodies the combination of AI technology and social responsibility. The project has three major innovations: integration of domain expertise, green computing practices and a transparent development process.
Figure 10 Innovation of ClimateGPT in Vertical AI Governance
From the perspective of technical architecture, ClimateGPT is based on a pre-trained model containing 300 billion climate-specific tokens, covering multidisciplinary knowledge such as climate change science, policy analysis and sustainable development goals6. Unlike traditional general large models, it has a built-in domain knowledge verification mechanism in the design stage to ensure that the output conforms to scientific consensus. This domain adaptation approach significantly improves reliability in professional scenarios and reduces the “hallucination” problem.
Figure 11 ClimateGPT climate pre-training model
The environmental sustainability practices of ClimateGPT deserve industry attention. The model training relies entirely on renewable energy, mainly using electricity from the Al Dhafra solar power plant in Abu Dhabi. EQTY Lab also works with green data centers to ensure that the inference phase also maintains a low carbon footprint. This full life cycle environmental consideration sets a new standard for sustainable development in the AI industry.
In terms of governance, ClimateGPT applies the core technology of EQTY Lab to make the training data source, algorithm decision-making process and output suggestions highly transparent. Researchers and policymakers can trace the model’s intellectual basis and assess the reliability of its recommendations. This openness is essential to building a scientific consensus for global climate action.
ClimateGPT supports more than 20 languages, with a special focus on languages commonly used in developing countries, helping to narrow the global gap in climate information access. Through cooperation with local research institutions, the project continuously optimizes the model’s understanding of specific climate challenges in each region and avoids the perspective bias of Western-centrism. This inclusive design makes ClimateGPT a truly global climate analysis tool.
Market Positioning and Competitive Strategy
1. Target industries and customer groups
EQTY Lab’s market strategy focuses on industries with high regulatory intensity and high trust requirements, and its solutions are particularly suitable for those fields that face strict compliance requirements and have greater risks in AI applications. In the financial services industry, the company’s technology helps banks and insurance companies meet model risk management (MRM) requirements, especially in sensitive application scenarios such as anti-money laundering (AML), credit scoring and algorithmic trading. Through the computational proof provided by Verifiable Compute and the audit trail of HCS, financial institutions can prove to regulators that their AI systems are fair and safe, reducing compliance costs.
Figure 12 EATY protects AI supply chain risks
Healthcare is another vertical market that EQTY Lab focuses on. In this field, its products solve the dual challenges of patient privacy protection and AI diagnosis reliability. For example, in medical image analysis, AI Integrity Suite can track the source of model training data to ensure that it meets ethical standards; at the same time, Verifiable Compute’s encrypted computing power enables hospitals to share medical insights with third parties without selling raw data. This ability to balance data utility with privacy protection is of particular value in scenarios such as biomedical R&D and epidemic prediction.
The public sector constitutes the third key market for EQTY Lab. The company’s case with Hala Systems demonstrates the potential of its technology for justice and security-supporting European prosecutors in Ukraine-related cases through verifiable AI agents, ensuring the integrity of digital evidence and transparency in the analysis process. Similarly, in the construction of smart cities, EQTY Lab’s solutions can help governments audit algorithmic decisions, avoid bias issues in systems such as smart transportation and public safety, and enhance citizens’ trust in digital government.
Media and creative industries are innovative markets pioneered by EQTY Lab. With the outbreak of generative AI, issues concerning content copyright and creative ownership have become increasingly prominent. Through technologies such as Attribution Ledger, EQTY Lab enables artists to track the use of their works in AI training and participate in value distribution. This mechanism provides a technical foundation for the sustainable development of digital content ecology and has been adopted by creative platforms such as Living Content.
In terms of customer size, EQTY Lab adopts an enterprise-first strategy and mainly serves large organizations and institutions. These customers usually have mature AI applications, face complex cross-border compliance challenges, and have sufficient budgets to invest in governance technology. At the same time, the company has also established connections with academia and research institutions through open source projects such as ClimateGPT to expand its technological influence and cultivate future markets.
2. Competitive advantages and technical barriers
In the emerging market of AI governance, EQTY Lab faces competition from multiple players, including AI extensions from traditional security vendors, compliance tools from cloud computing giants, and innovative solutions from professional startups. However, by analyzing its product architecture and technology route, we can identify the multiple competitive barriers that EQTY Lab has built to keep it at the forefront of the current market.
Hardware-level security is the strongest technical barrier for EQTY Lab. The deep cooperation with Intel and NVIDIA enables it to use the most advanced chip security features (such as Intel TDX and NVIDIA Confidential Computing) to achieve a trusted computing environment that is difficult for competitors to replicate. This hardware integration not only provides a higher security benchmark, but also brings performance advantages-Verifiable Compute’s encryption overhead is significantly reduced compared to pure software solutions, making secure AI computing more feasible.
Cryptographic innovation constitutes the second barrier. EQTY Lab has developed a patent-pending AI notarization system that deeply integrates advanced cryptographic technologies such as zero-knowledge proof and homomorphic encryption with AI workflow59. This innovation is not only reflected in the technical level, but also in a deep understanding of the characteristics of the AI life cycle-for example, its “selective disclosure” mechanism allows companies to prove compliance without revealing trade secrets, balancing transparency and intellectual property protection89.
Full-stack governance capabilities distinguish EQTY Lab from single technology providers. Most competitors in the market only focus on a certain aspect of AI governance (such as model monitoring or data tracing), while EQTY Lab provides an end-to-end solution from hardware security, data governance, model auditing to decision tracing. This comprehensiveness is especially important for large companies, which need a unified rather than fragmented governance framework. The modular design of AI Integrity Suite also allows customers to deploy on demand and gradually build governance capabilities.
Ecosystem advantages are the hidden assets of EQTY Lab. Through strategic partnerships, the company has placed itself at the intersection of several key ecosystems: Intel/NVIDIA’s hardware ecosystem, Hedera’s blockchain ecosystem, and industry-specific compliance ecosystems (such as the EU AI Act Implementation Framework). This positioning enables its products to quickly gain market acceptance and form network effects. For example, in the financial sector, a bank’s adoption of Verifiable Compute may prompt other institutions with which it does business to follow suit to simplify mutual recognition of compliance.
The first-mover advantage of compliance is particularly important in highly regulated industries. EQTY Lab invested in the technical adaptation of EU AI Act, GDPR and other regulations in the early stage, and has accumulated a deep compliance knowledge base. The compliance templates pre-installed in its Governance Studio greatly reduce the implementation costs for customers, and this advantage requires long-term investment to replicate. As global AI regulation becomes stricter, this first-mover effect will be further amplified.
Summary
As a technology pioneer in the field of AI governance, EQTY Lab has established a unique value proposition and its product portfolio fills a key gap in the market. From the perspective of technology maturity, AI Integrity Suite demonstrates enterprise-level governance capabilities, Verifiable Compute represents cutting-edge security innovation, and Hedera integration and ClimateGPT verify the wide adaptability of technologies. This diversified technology matrix enables EQTY Lab to meet the differentiated needs of customers in different industries and sizes, forming a comprehensive competitive barrier.
From a business potential analysis, the market targeted by EQTY Lab is on the eve of an outbreak. With the implementation of regulations such as the EU AI Act, the demand for trusted AI solutions in global enterprises will grow rapidly. As the first key regulatory areas, finance and healthcare provide a considerable initial market; while subsequent demand in industries such as media, manufacturing and government will create continued growth momentum. The company’s “high-end entry” strategy-serving large customers who are most sensitive to compliance first, and then expanding into small and medium-sized markets-is a reasonable commercialization path.
In terms of business model, EQTY Lab combines diversified revenue streams from software subscriptions (such as AI Integrity Suite), hardware value-added (Verifiable Compute certified chips) and ecological services (such as compliance certification). This combination reduces single business risk and improves overall profitability. In-depth cooperation with giants such as Intel and NVIDIA not only brings technical synergy, but also provides strong channel support to accelerate market penetration.
