Prem
What is Prem?
Prem is a sovereign AI platform for building and operating private, verifiable intelligence systems. It combines confidential AI inference, encrypted GPU infrastructure, private agent deployment, and custom model development. The platform is designed for developers and enterprise teams in regulated sectors such as healthcare, finance, government, and legal services. Prem supports on-premise, private cloud, VPC, and managed deployments so organizations can retain control over data, models, and compute. Its differentiator is hardware-backed privacy and cryptographic verification rather than relying only on contractual cloud-provider assurances.
How to use Prem?
1. Request access or create a Prem account through the relevant product entry point. 2. Choose Enclave API, Fluso, Prem Studio, or an infrastructure deployment and connect your models, data, or enterprise tools. 3. Configure a private workflow, agent, or inference application and deploy it with the available security and verification controls.
Prem's Core Features
Confidential inference API: Run language, vision, and transcription workloads inside encrypted hardware enclaves.
OpenAI-compatible integration: Connect existing OpenAI-based applications to Prem with minimal client-side changes.
Hardware-backed attestation: Verify the integrity of deployed models and compute environments through cryptographic evidence.
Flexible deployment: Run Enclave on-premise, in a VPC, across public-cloud infrastructure, or through Prem’s managed API.
Private agent workspace: Build enterprise agents around proprietary standard operating procedures and connected business tools.
Enterprise tool connectivity: Link Fluso agents with more than 100 enterprise tools to support coordinated workflows.
Custom model development: Convert private datasets into fine-tuned, evaluated, and deployable task-specific models.
Model ownership and export: Export models created in Prem Studio for self-hosting and greater infrastructure control.
Zero-retention processing: Use Enclave API configurations designed to avoid retaining processed request data.
Multimodal processing: Handle chat, image understanding, OCR, and secure speech transcription through private AI services.
Prem's Use Cases
- #1
Deploying confidential language-model inference for healthcare applications handling sensitive patient information
- #2
Building private legal research, contract review, and document-drafting agents around firm-specific procedures
- #3
Running finance and compliance workflows on proprietary data without sending prompts to public AI providers
- #4
Fine-tuning and exporting task-specific models for specialized enterprise workflows
- #5
Connecting private AI agents to enterprise tools and triggering actions from events or schedules
- #6
Processing sensitive images with encrypted vision models for OCR and image understanding
- #7
Adding OpenAI-compatible private inference to an existing application without rewriting the client integration
Frequently Asked Questions
Analytics of Prem
Monthly Visits Trend: Apr 2025 - Oct 2026
Traffic Sources
AI Channel Traffic Trends
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 31.48% |
| India | 12.58% |
| Canada | 9.37% |
| France | 5.67% |
| United Kingdom | 5.23% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| ai that does not use your data | 260 | -- |
| prem ai | 550 | $3.23 |
| host your own llm on cloud | 120 | -- |
| premai | 280 | -- |
| what are alternative of chat gpt with guard rails | 60 | -- |
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