Sherpa.ai

What Sherpa.ai does

Sherpa.ai (legal entity SHERPA EUROPE S.L.) is a Spanish-headquartered enterprise software company founded in 2012 by Xabi Uribe-Etxebarria, building a B2B Federated Learning platform that enables organizations in regulated industries to collaboratively train AI models across distributed data sources without centralizing or transferring raw data. The core platform combines proprietary "Blind Federated Learning" with a two-layer privacy architecture integrating Privacy-Enhancing Technologies (Differential Privacy, Secure Multi-party Computation, Homomorphic Encryption, and Zero Knowledge Trust), supported by certifications including ISO 27001, HIPAA, Cyber Essentials+, GDPR, CCPA, and EU AI Act compliance. The platform supports multiple AI modalities (text LLMs, structured data, medical imaging, computer vision) and integrates with all major ML frameworks (PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM, Keras) and data infrastructure (SQL/NoSQL databases, Snowflake, Databricks, Azure, Hadoop). The company holds two granted US patents and has built an extensive awards track record including CB Insights AI 100, Red Herring Global Winner, and KPMG recognition.

The platform is delivered as enterprise SaaS with on-premise, private cloud, or hybrid deployment options, sold via direct enterprise sales motion and inside sales with quote-based pricing and multi-year contracts. Professional services supplement the subscription revenue stream. The company serves five primary verticals — Healthcare & Life Sciences, Financial Services, Industry & Manufacturing, Cybersecurity, and Aerospace & Defense — with named customers including NIH, UCL, Osakidetza, Centogene Genomics, Indra, Caja Laboral, Unicaja, and Prosegur. With 11-50 employees, headquarters in Erandio (Bilbao), Spain, and a regional office in Silicon Valley, Sherpa.ai is positioned as an emerging European vendor in the privacy-preserving AI infrastructure category, recently accelerating commercialization following a $18M funding round in July 2026 led by Forgepoint Capital.

Name

Sherpa.ai

Legal name

SHERPA EUROPE S.L.

Website

https://sherpa.ai

Company type

Private

Founded year

2012

Operating status

Operating

Headcount range

11–50 employees

Short description

Sherpa.ai is a Spanish-based B2B enterprise software company providing a Federated Learning platform that enables organizations in regulated industries (healthcare, finance, defense, cybersecurity) to collaboratively train AI models across distributed data sources without sharing raw data.

Ownership category

akta.pro rank

Product category

Privacy-Preserving AI Platform

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)

akta.pro primary industry

Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy) (HDAAAMAD)

akta.pro secondary industries

AI Privacy Engineering & Data Governance (PII, consent, retention) (HDAAAKAB), End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Privacy-Preserving Data (De-identification, Anonymization, PII Redaction) (HDAAALAG), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)

Keywords

• Federated learning platform
• Privacy-preserving AI
• Decentralized machine learning
• Secure AI deployment
• Collaborative AI training

Headquarters

HQ city

Bilbao

HQ country

Spain

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure

Revenue model

1. SaaS Platform Subscription: Enterprise-ready SaaS platform for Privacy-Preserving AI deployments. The platform offers flexible deployment options (on-premise, private cloud, or hybrid) with plug & play deployment. Pricing is quote-based for enterprise contracts.
2. Professional Services: Implementation and consulting services for enterprise deployments. Contact forms and demo requests suggest custom enterprise engagements.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels6 records

Core offering

Sherpa.ai provides a privacy-preserving AI platform that enables organizations to collaboratively train and deploy AI models on decentralized data without moving or sharing raw information, using federated learning, differential privacy, and secure multi-party computation. The platform is offered to enterprises and public-sector organizations in regulated industries such as healthcare and financial services to enable data collaboration while preserving data privacy and sovereignty.

Product overview

Sherpa.ai is a Privacy-Preserving AI company offering a unified platform with multiple modules. The core offering is the Sherpa.ai Federated Learning Platform, an enterprise-ready SaaS platform that enables collaborative AI model training across distributed data sources without centralizing data. The platform supports industry-specific solutions including Healthcare & Life Sciences, Financial Services, Industry & Manufacturing, Cybersecurity & Security, and Aerospace & Defense. Key modules include Federated LLM Fine-Tuning for domain-specific language models, Federated RAG for private knowledge retrieval, Federated Analytics for cross-dataset insights, and Federated Inference for edge deployment. The platform integrates with major data sources (SQL/NoSQL databases, data lakes) and supports multiple AI frameworks.

Differentiator

Problem solved

Functional benefit

Products and services

• Sherpa.ai Federated Learning Platform Enterprise platform that enables organizations across healthcare, financial services, and the public sector to collaboratively train and deploy AI models on distributed data sources using federated learning, differential privacy, and secure multi-party computation, without moving or exposing raw data.
• Sherpa.ai Assistant AI-powered assistant product leveraging Sherpa.ai's conversational and AI capabilities, offered to end users and integrated into enterprise workflows.
• Sherpa.ai Predictive Analytics Predictive analytics solution that uses Sherpa.ai's AI models to deliver forecasting and decision-support insights for enterprise customers, leveraging privacy-preserving techniques to operate on sensitive data.

Quantifiable outcome

• Reduces network communications by 99% for federated training
• +3 more outcomes

Named customers8 records

Segments5 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration16 records

AI capability12 records

Feature9 records

Partnerships

Two partnerships are on record, tiered flagship research partner and research partner.

• NIH (National Institutes of Health)flagship research partnerStrategic or Co-development PartnerCollaborative research partner on federated learning for medical AI. Joint research on Collagen VI-related dystrophies diagnosis achieving F1-score of 0.82. NIH cited in multiple Sherpa.ai publications and case studies.
• UCL (University College London)research partnerStrategic or Co-development PartnerInternational academic research partner alongside NIH for federated learning medical research. Part of first global application of Federated Learning for COL6-RD diagnosis using collagen VI immunofluorescence microscopy images.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Owkin: Owkin is a privacy-preserving AI platform that uses federated learning to enable collaborative model training across hospitals and life sciences organizations without sharing raw patient data. It is one of the closest direct competitors to Sherpa.ai in healthcare/life sciences federated AI.
• Apheris: Apheris offers a federated learning and data collaboration platform focused on life sciences and healthcare, enabling multi-institution AI training while keeping data local. It competes directly with Sherpa.ai's core federated learning value proposition in regulated verticals.
• Duality Technologies: Duality Technologies provides a privacy-enhancing technologies platform combining secure multiparty computation, homomorphic encryption, and federated analytics for collaborative AI on sensitive data. It directly overlaps with Sherpa.ai's PETs + federated learning stack across enterprise and regulated-industry use cases.
• TripleBlind: TripleBlind offers a privacy-preserving AI platform that enables algorithms to operate on encrypted data without decryption, supporting federated learning across enterprises. It targets similar regulated verticals (healthcare, finance) and competes directly with Sherpa.ai's privacy-preserving AI model.
• Inpher: Inpher builds privacy-preserving computation and "Secret Computing" platforms using secure multiparty computation and homomorphic encryption for collaborative analytics and ML. It competes with Sherpa.ai's PETs-based approach to enabling AI on encrypted/siloed data.
• Cape Privacy: Cape Privacy provides a privacy-preserving AI platform with a focus on enabling secure enterprise use of large language models, including encrypted training and inference. It directly overlaps with Sherpa.ai's Federated LLM Fine-Tuning and Federated RAG capabilities.

Emerging players

• Lifebit: Lifebit operates a federated genomics and biomedical AI platform that enables secure, distributed analysis of genomic and clinical data across institutions. It is an emerging competitor with partial overlap with Sherpa.ai's healthcare/life sciences solution.
• Zama: Zama develops fully homomorphic encryption tooling and open-source libraries for confidential AI and ML on encrypted data. As an emerging cryptography-focused player, it competes at the PET layer underlying Sherpa.ai's privacy stack.

Broad incumbents

• DataRobot: DataRobot is an established enterprise AI/ML platform with MLOps, model governance, and increasingly privacy/compliance features. As a broad incumbent, it competes with Sherpa.ai for enterprise AI budgets, though it does not specialize in federated learning.
• Domino Data Lab: Domino Data Lab provides an enterprise MLOps platform that supports regulated industries with governance, reproducibility and model lifecycle management. It is a broader incumbent whose capabilities partially overlap with Sherpa.ai's enterprise AI platform ambitions.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/mairiner-inc-
• Xx.com/Sherpa_AI
• Facebookfacebook.com/SherpaAI

Compliance6 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds8 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Sherpa.ai