PREM SA Unclaimed
Lugano, Switzerland
Prem AI is an applied AI research organization delivering sovereign, private, verifiable AI for enterprise environments.
Prem AI is an applied AI research organization delivering sovereign, private, and verifiable AI for enterprise environments. It focuses on privacy-preserving AI that can be deployed in customers’ own environments and govern data provenance and auditability. The organization serves regulated industries such as healthcare, financial services, and government, helping clients build private AI capabilities that operate on their own infrastructure, with data staying under their control. It emphasizes ownership of data, governance, and security, offering an on-premise compute ecosystem, cryptographic attestations, and end-to-end privacy protections to enable private inference, training, and collaboration without data leaving customer premises. The team conducts research and builds scalable tools to support enterprise AI adoption while prioritizing privacy, compliance, and verifiability.
Prem delivers sovereign AI that is verifiable, private, and compounding.
What we offer
Enclave
Provides secure and private AI deployment with verifiable data integrity for enterprises.
www.premai.io/enclave-apiPrem Studio
Empower your workflows with private, customized AI models in a secure environment.
www.premai.io/studioCyberscan
Detects vulnerabilities and enhances security frameworks for organizations.
cyberscan.prem.ioPrem API
Delivers private, rapid responses with robust data protection for enterprises.
Market segments
Market size by segment
Growth potential (CAGR)
Confidential computing
Hardware-encrypted enclaves and cryptographic attestation that enable end-to-end encrypted private inference and verifiable execution across on-premises, VPC, and multi-cloud environments.
AI data preparation and model deployment
Preparation, normalization, enrichment, and delivery of AI-ready data plus model deployment capabilities and on-demand GPU resources to operationalize ML/AI workloads.
Clinical workflow automation
Automation of care and administrative workflows including automated documentation, cross-system task orchestration, role-based access controls, and auditable process execution to reduce manual work and improve compliance.
AI Governance and Compliance for Security Operations
Frameworks, auditing, and controls that ensure transparent, auditable AI decisions in security workflows, supporting regulatory compliance and zero‑trust AI architecture.
More information about our offering
Enclave
Enclave is the encrypted compute layer for sovereign AI. It runs frontier models on GPUs that stay encrypted end to end and verifiable at every layer, across on-premises, in your VPC, or in multi-cloud environments. Enclave API enables scalable, privacy-first private inference with end-to-end encrypted and cryptographically attested processes.
- Supports Any EnvironmentEnclave's flexibility allows deployment in various environments, ensuring consistent security and compliance.
- Ensures Data ControlKeeps data within your specified regulatory boundaries, enhancing privacy and compliance.
- Authenticates Hardware IntegrityVerifiable attestation guarantees that computations are secure and data remains private from all external access.
- Verify Data PrivacyAssures data privacy by guaranteeing cryptographic evidence of data security.
- Ensure Confidential InferenceProtects sensitive information during processing, ensuring data never leaves the secure environment.
- Secures Data AccessMemory isolation prevents unauthorized access, ensuring sensitive data remains confidential during processing.
- Ensures Trust and AccountabilityEnables full audit trails of actions taken within enclaves, supporting compliance and governance needs.
- Achieve High-Speed PerformanceLeverages powerful hardware to enhance processing speed for private inferences.
- Easily Transition to EnclaveAllows for seamless integration with existing tools, reducing deployment friction.
- Future-Proof Your SecurityEnsures data remains secure even in the face of emerging quantum computing challenges.
- Future-Proof EncryptionPrepares your infrastructure against potential quantum computing threats, ensuring long-term data security.
- Guarantees Model IntegrityEnsures that only validated models are executed in your environment, enhancing security across computing resources.
- Minimize Response TimeDelivers rapid results to meet client needs promptly while maintaining security.
- Maximize Existing InfrastructureUtilize current hardware configurations while enhancing security and privacy.
- Integrate Various ModalitiesFacilitates the use of different types of AI models, enhancing flexibility and functionality.
Fluso
Fluso is a private AI workspace that automates healthcare processes directly within your environment. It efficiently manages clinical workflows, ensuring patient data remains secure and assists in decision-making with auditable results linked to sources.
- Access 50+ Models QuicklyUtilize a variety of leading models tailored for healthcare, enabling rapid and secure request processing.
- Ensure AuditabilityMaintain compliance and transparency by linking all outputs to their original data sources for thorough audits.
- Maintain Data SovereigntyEnsure patient privacy by processing data locally, eliminating external data exposure.
- Utilize a Private AssistantEnhance operational efficiency with an AI agent tailored for healthcare tasks, preserving patient confidentiality.
- Meet Regulatory StandardsOperates within compliance frameworks, providing peace of mind regarding data security and handling.
- Adapt to Your PracticesCustomize interactions and outputs by integrating naturally into existing medical workflows and terminologies.
Prem Studio
Prem Studio enables organizations to train and deploy customized AI models on private data. It provides tools for dataset management, model deployment, and ensures strong data control while keeping all operations within the user’s infrastructure.
- Maintain Full ControlEnsure full ownership of the AI models, empowering organizations to tailor and deploy them as per their unique requirements without external dependencies.
- Secure Data ProcessingImplement specialized AI solutions without worrying about data exposure, as all operations take place in secure, private enclaves.
- Accelerate Time to MarketSignificantly reduce the manual effort required for deployment, enabling teams to concentrate on building intelligence rather than managing data.
- Swift Model DevelopmentRapidly develop and deploy models tailored to specific tasks or organizational needs, enhancing efficiency and productivity.
- Organize Data EffectivelyStreamline your data handling by converting unstructured sources into organized datasets, allowing for easy access and quality management.
- Optimize PerformanceCreate efficient models that enhance processing speed while maintaining the quality and functionality required for specific tasks.
- Facilitate Data UsageTransform raw data into actionable insights by systematically organizing it for various applications in the workflow.
Cyberscan
Cyberscan is a Beta security agent for vulnerability detection, enabling organizations to identify and address security weaknesses effectively.
- Identifies Security WeaknessesCyberscan continuously scans systems to identify vulnerabilities, helping organizations strengthen their security posture.
- Engage in Early FeedbackOrganizations can participate in shaping the product by providing insights as it evolves through the Beta phase.
Prem API
Prem API provides a single API for private modalities. All requests are end-to-end encrypted, never stored, and answered in under 200ms, with data never leaving the customer’s environment.
- Protects Data PrivacyEnsures that all data transmitted via the API is securely encrypted, preventing unauthorized access during transmission.
- Ensures Data ControlGuarantees that customer data is not retained or accessible post-processing, maintaining privacy.
- Maintains Data SovereigntyGuarantees that all processing happens within the customer's infrastructure, ensuring compliance with data regulations and policies.
- Delivers Fast ResponsesProvides immediate feedback on requests, enhancing user experience and operational efficiency.
- Consolidates AI AccessSimplifies integration by allowing access to multiple AI functionalities through one comprehensive API.
Sotto
Sotto is a macOS menu bar app for push-to-talk dictation. Audio is transcribed by a Deepgram model running inside Prem’s hardware-encrypted Enclave with end-to-end privacy and latency under 200ms.
- Transcribe Audio SecurelyLeveraging Deepgram's powerful AI, Sotto processes your audio confidentially, ensuring no data leaves your security perimeter, thus protecting sensitive information during transcription.
- Ensure Complete Data SecurityAll data processed in Sotto is encrypted from origin to destination, preventing unauthorized access and ensuring compliance with privacy regulations.
- Achieve Real-Time TranscriptionEnjoy seamless interaction with near-instantaneous transcription, improving user experience and workflow efficiency.
- Dictate with SimplicityEasily dictate audio via a convenient menu bar application, making it straightforward to capture thoughts and notes without complicated setups.
References
Methodology and sourcing behind the figures shown above.
Confidential computing
I used recent market-research entries in the provided results. For baseline market size I prioritized the 2024 figure reported by Market Research Future (USD 6.09B). Multiple forecasts (MarketsandMarkets, Mordor Intelligence) project very rapid expansion and report CAGRs around ~62% for near-term forecast windows; others present a wider range (35%–95%). Given the cluster of reputable reports showing ~60–63% CAGR for the 2023–2028 / 2026–2031 windows, I selected a central growth-potential estimate of 62% while noting inter-report variance.
- 2024 Market Size$ 6.09 Billion
- projected to grow from US$5.3 billion in 2023 to US$59.4 billion in 2028 at a CAGR of 62.1%
- Market Size (2026) USD 15.15 Billion; CAGR (2026-2031) 62.74% forecast
- Everest Group ... projected to grow at a CAGR of 90%-95% to reach US$54 billion in 2026
- Market Size in 2024 USD 5.89 Billion; CAGR (2025-2034) 48.5%
AI data preparation and model deployment
Estimate synthesized from segment-level market figures in the results: AI data management (~USD 46.8B in 2026), AI data readiness platforms (~USD 5.8B in 2026), AI training datasets (~USD 3.9–4.4B in 2026), and MLOps/model-deployment (~USD 4.5B in 2026). Summing these segment estimates yields ~USD 61–62B in 2026; to avoid double-counting (overlap between data management/readiness/labeling and dataset services) the consolidated, conservative market-size estimate for “AI data preparation and model deployment” is ~USD 55B (2026-equivalent). Growth potential (CAGR ~22%) is based on reported CAGRs across these submarkets (data management ~22.3%, training datasets ~22–23%, data readiness ~18.3%, MLOps higher but on smaller base), producing a weighted, moderate-growth outlook (~22% CAGR).
Clinical workflow automation
Multiple independent market reports for “clinical workflow”/“clinical workflow solutions/automation” show 2024–2025 market values in the $12–14B range and 10–16%+ forecast CAGRs. Precedence/BioSpace and Future Market Insights (solutions) report ~USD 12–14B (2024–2025) with CAGRs ~13–16%; MarketsandMarkets and TrendX (narrower automation/software scopes) report smaller bases but similar mid-teens growth. I selected a midpoint market size (~USD 13.0B) and a consensus CAGR (~14.0%) to reflect the range and differing scopes across sources.
- projected to grow from USD 13.61 billion in 2025 to USD 46.77 billion by 2035, registering a CAGR of 13.14%.
- was exhibited at USD 11.96 billion in 2024 and is projected to hit around USD 42.7 billion by 2034
- projected to grow from USD 14.1 billion in 2025 to USD 62.1 billion by 2035, at a CAGR of 16.0%.
- transition from USD 9.1 billion in 2020 to USD 18.1 billion by 2025, showcasing a strong CAGR of 14.8%.
- projected to grow from USD 2.86 Bn in 2025 to USD 9.43 Bn by 2034, registering a CAGR of 14.20%.
AI Governance and Compliance for Security Operations
Estimate uses the focused “AI for security compliance” market sizing as primary (PrecedenceResearch: USD 231.8M in 2025, CAGR 22%). Broader AI governance and AI‑security/platform studies (MarketsandMarkets, GMI, FMI) show larger adjacent markets and higher CAGR ranges (11–45%), which corroborate upside potential; the narrow segment for governance+compliance in security operations is best represented by the PrecedenceResearch figure and its 22% CAGR.
- The global AI for security compliance market size was calculated at USD 231.80 million in 2025; CAGR, 2026 - 2035: 22.00%.
- The global AI governance market is projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, CAGR of 45.3%.
- The global AI governance market reached USD 839.2 million in 2025; CAGR (2026–2035): 31.4%.
- The AI security platforms market was valued at USD 3.5 billion in 2025 and is expected to grow at a CAGR of 22.0% (2026–2036).
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