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AI platforms

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Sherpa.ai provides a privacy-preserving, secure distributed AI platform enabling collaborative AI across enterprises, governments, and regulated environments.

Sherpa.ai is a privacy-preserving, secure distributed AI platform that enables collaborative AI across enterprises, governments, and regulated environments. The platform keeps data private and under user control while enabling collaboration, automation of workflows, generation of insights, and operationalization of AI. It supports a wide range of AI approaches, helping organizations maintain control, sovereignty, and regulatory compliance while advancing data-driven decision-making.

Secure AI. Private Data. Sovereign Intelligence.

What we offer

Federated Learning

Enhances AI models through secure collaboration across diverse data sources.

federated-learning.sherpa.ai/

Sherpa.ai Platform

Enhance AI model collaboration with secure, private deployments.

sherpa.ai/platform/

Healthcare & Life Sciences

Enhances medical research and treatments securely and privately.

sherpa.ai/ai-in-healthcare/

Financial Services

Provides secure fraud prevention solutions for financial institutions.

sherpa.ai/ai-finance/

Industry & Manufacturing

Facilitates advanced AI solutions for manufacturing, enhancing efficiency and collaboration.

sherpa.ai/ai-in-manufacturing/

Cybersecurity & Security

Enhances cybersecurity with secure, collaborative AI while maintaining data privacy.

sherpa.ai/ai-in-cybersecurity/

Aerospace & Defense

Enhances collaboration and security in defense and aerospace AI applications.

sherpa.ai/defense/

Market segments

Market size by segment

Growth potential (CAGR)

Federated learning platforms

2.71 Billion USD28.3% CAGR

Platforms that enable collaborative training of machine learning models across distributed data sources while preserving data privacy and compliance.

Data sovereignty and compliance

72.37 Billion USD25.84% CAGR

Data-residency, GDPR and AI Act-aligned processing, dedicated country-hosted instances, explicit data-use contracts, and auditability for regulated customer data handling.

AI for regulated industries

4.36 Billion USD25.6% CAGR

AI deployments and workflows tailored to sectors with strict regulatory requirements to enable compliant collaboration, auditability, and operationalization.

Collaborative cybersecurity analytics

4 Billion USD18% CAGR

Secure, privacy-preserving analytics and model collaboration for threat detection, fraud prevention, and shared cyber intelligence.

More information about our offering

Federated Learning

Federated Learning enables collaborative training of AI models across distributed data sources, ensuring data privacy and compliance.

  • Collaborate Across Distributed Data
    This feature allows organizations to train AI models collectively while ensuring their data remains distributed. It enhances model accuracy without compromising data privacy, adhering to regulatory standards.
  • Ensure Compliance and Security
    Utilizing advanced privacy techniques, this feature ensures that all federated learning processes remain compliant with data protection regulations, thus maintaining user trust and confidentiality.
  • Maintain Data Sovereignty
    This feature provides organizations with sovereign control over their data, ensuring that sensitive information stays secure and compliant with internal and external regulations.
  • Streamline AI Training Processes
    By automating workflows, this feature helps streamline the training and operationalization of AI models, reducing the manual effort required while improving overall efficiency.

Sherpa.ai Platform

The Sherpa.ai Platform is a SaaS platform for collaborative AI model trainings, enabling secure distributed deployments while keeping data private and under user control.

  • Maintains Data Sovereignty
    Allows organizations to retain full control over their data while conducting secure AI operations.
  • Facilitates Collaborative AI Training
    Empowers organizations to work together on AI models while ensuring data privacy and security.
  • Enhances Data Privacy
    Safeguards user data while enabling advanced AI capabilities.
  • Streamlines Compliance Processes
    Helps prevent legal issues by integrating compliance into AI deployments.
  • Increases Operational Efficiency
    Reduces manual intervention, speeding up AI development cycles.

Healthcare & Life Sciences

Accelerates medical research and improves treatments while protecting patient privacy.

  • Increases Research Speed
    Enables faster breakthroughs in medical research by leveraging collaborative AI without compromising data privacy.
  • Enhances Treatment Quality
    Facilitates the development of innovative treatment protocols by ensuring patient data is protected and secure.
  • Ensures Compliance
    Adopts robust privacy measures to comply with medical data regulations while enabling AI collaboration.
  • Enables Collaborative Intelligence
    Empowers healthcare organizations to work together on AI models, enhancing analytical capabilities.

Financial Services

Sherpa.ai allows leading global financial institutions to prevent fraud while ensuring regulatory compliance and streamlining AI implementations.

  • Prevents Fraud
    Utilizes advanced AI technologies to detect and prevent fraudulent activities, ensuring the security and integrity of transactions for financial institutions.
  • Ensures Compliance
    Guarantees that AI implementations meet regulatory standards, thereby enhancing trust and reducing legal risks for financial institutions.
  • Enables Collaboration
    Facilitates secure data sharing and collaboration among different financial entities, allowing for enhanced intelligence and better decision-making.
  • Streamlines Implementations
    Simplifies the integration of AI technologies into existing systems, reducing the time and costs associated with deployment.

Industry & Manufacturing

Empowers manufacturers to harness the full potential of Industry 4.0.

  • Boosts Operational Efficiency
    By enabling Industry 4.0 practices, manufacturers can optimize operations through intelligent automation, real-time data analytics, and improved decision-making processes.
  • Enhances AI Models
    Allows for the integration of diverse data sources, contributing to more robust AI model training while ensuring data security and compliance.
  • Streamlines Compliance
    Supports organizations in meeting regulatory requirements in their AI deployments, mitigating risks associated with data use.
  • Maintains Data Control
    Allows organizations to manage their data, ensuring that sensitive information is only used in ways that meet their governance and compliance needs.

Cybersecurity & Security

Sherpa.ai integrates privacy-enhancing technologies, ensuring secure distributed AI deployments while keeping data private and fully under user control.

  • Enables Secure AI Collaboration
    This feature empowers organizations to collaborate on AI initiatives while ensuring data privacy and compliance, thereby mitigating risks and enhancing security measures.
  • Protects Sensitive Data
    By utilizing privacy-enhancing technologies, the platform safeguards sensitive data during collaborative efforts, thus promoting trust and compliance with regulations.
  • Ensures Compliance With Regulations
    This feature supports organizations in maintaining compliance with regulatory frameworks, reducing legal risks and fostering a sense of security among stakeholders.
  • Maintains Full Data Control
    Organizations can confidently manage their data in compliance with relevant laws, ensuring it is secure and under their jurisdictional control.

Aerospace & Defense

Sherpa.ai enables defense and aerospace organizations to collaborate on advanced AI securely, keeping data private and under user control while facilitating efficient workflows and insights.

  • Facilitates Secure Collaboration
    Empowers organizations to securely work together on AI initiatives while maintaining regulatory compliance and data privacy.
  • Ensures Data Sovereignty
    Allows organizations to keep their data private and fully controlled while using distributed AI technologies.
  • Streamlines Operations
    Enhances operational efficiency by automating repetitive tasks in AI-driven processes.
  • Maintains Regulatory Standards
    Assures organizations meet necessary legal and regulatory frameworks during AI development and deployment.

References

Methodology and sourcing behind the figures shown above.

Federated learning platforms

Estimated global market for federated learning platforms taken primarily from the Research Minds / Market Research Future estimate for federated learning solutions (USD 2.71B in 2023) as the closest match to "platforms/solutions." Several sector reports in the search results show wide variance by vertical (healthcare: USD 35.12M in 2025; industrial IIoT: USD 0.15B in 2023; automotive security: USD 0.529B in 2025) and broader ecosystem estimates (Market.us: USD 133.1B in 2023). I selected the Research Minds figure as the most relevant for platforms/solutions and used its high-growth projection (~28.25% CAGR) to represent platform growth potential while noting other sources indicate CAGR ranges roughly 10–28% depending on scope and vertical.

Data sovereignty and compliance

Selected Mordor Intelligence as primary source because its report explicitly defines the “Data Residency and Sovereignty Compliance Tools” market and provides both a 2025 market size and a 2025–2030 CAGR. Comparable reports for adjacent definitions (sovereign cloud, data sovereignty/localization, and data sovereignty management) show a range of 2.2–154.7 billion (2024–2025) and CAGRs between ~15% and 27%, confirming the chosen figure sits within published market estimates depending on scope and inclusion of cloud infrastructure versus tooling/services.

AI for regulated industries

Estimated 2025 market size equals the sum of AI compliance software (USD 3.52B) and AI governance (USD 0.839B) markets from provided sources (total ≈ USD 4.36B). Growth potential (≈25.6% CAGR) is a weighted average of reported CAGRs (24.2% for compliance software, 31.4% for governance) weighted by 2025 market sizes. This focuses on governance/compliance and regulatory-affairs capabilities that define 'AI for regulated industries.'

Collaborative cybersecurity analytics

Estimate derived by treating collaborative cybersecurity analytics as a focused subsegment of larger adjacent markets (business intelligence/analytics, cloud analytics, risk analytics and niche security subsegments). BI&A, cloud analytics and risk analytics are each in the USD 40–50B range (sources below); specialist security subsegments (e.g., IoT security governance) are single-digit billions. Allocating a conservative low-single-digit share of these combined analytics/security markets to privacy-preserving, cross-organization collaborative cybersecurity analytics yields an estimated market size of about USD 4B today. Strong drivers (AI/ML, federated learning, cross-enterprise threat intelligence sharing, regulatory/privacy requirements and cloud adoption) support a high growth potential; selected CAGR 18% as a midpoint of reported high-growth analytics/security subsegments (mid-teens to low-20s%).

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