Prem AI
Prem is a self-sovereign AI infrastructure tool that aims to accelerate the development and adoption of privacy-centric open-source AI mode...
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What is Prem AI?
Prem is an applied AI research lab and platform that delivers sovereign, private, and personalized AI infrastructure for developers and enterprises. The ecosystem includes Fluso, a private AI workspace with compounding memory, 50+ connectors, and cross-silo workflows that automates your work in flow, plus a Confidential API for developers offering multi-modal private inference secured by verifiable end-to-end encryption with secure voice transcription, vision language models, and large language models.
Key features include private inference where your data never touches a disk and runs entirely in volatile memory, verifiable hardware-signed proofs for every interaction enabling full auditability, sovereign model ownership with post-quantum encryption and Hold Your Own Keys (HYOK) architecture, fine-tuning capabilities supporting LoRA, full, and GRPO methods, data generation and evaluation tools, unlimited experiments for enterprises, dedicated reserved GPUs, RLHF dashboard access, and zero data retention inference hosted in Switzerland.
Prem is designed for developers who want to build generative AI solutions without deep expertise, as well as healthcare, financial, and government institutions requiring sovereign intelligence at scale with complete data control. The platform simplifies prompt engineering, RAG, model optimization, fine-tuning, evaluation, and deployment while ensuring full ownership of AI models and infrastructure secured by post-quantum encryption.
The platform supports open-source SLMs and customized models, enables multimodal data ingestion, one-click model deployment, intelligent guardrails, on-premise and AWS-VPC deployment options, team collaboration, active learning, model evaluations, and knowledge distillation. Enterprise tenants run inside hardware-isolated trusted execution environments with encrypted memory and remote attestation.
Prem AI distinguishes itself through its Swiss design and powering, commitment to data sovereignty, and network approach including the Prem Network—a peer-to-peer decentralized GPU network for training and fine-tuning open-source AI models that allows consumer laptops to enterprise servers to cooperate in processing inference and fine-tuning requests.
Prem AI pricing
Pricing model: Free
For developers: Data generation costs 0.010 credits per datapoint plus AI generation cost. LoRA fine-tuning: 2.500 credits. Full fine-tuning: 5.000 credits. GRPO fine-tuning: 10.000 credits. Evaluation: 0.010 credits per datapoint tested plus your model and AI judge runtime. Inference (use your model): Input $0.20 per 1M tokens, Output $0.60 per 1M tokens. No free tier mentioned for developers. For enterprise: Platform access includes unlimited experiments, unlimited evaluations, unlimited fine-tuning, and unlimited inference. Performance includes dedicated reserved GPUs for generation and inference. Evaluation includes RLHF dashboard access. Support includes engineering support channel. Volume discounts available for large credit purchases and custom integrations. Enterprise pricing is custom (contact sales). No services contract required for developers.
Prem AI pros
- Private inference with data never touching disk
- Volatile memory execution that vanishes after completion
- Hardware-signed verifiable proofs for every interaction
- Full auditability of who accessed what and when
- Sovereign model ownership with complete control
- Post-quantum encryption securing models for decades
- Hold Your Own Keys (HYOK) architecture
- Zero data retention inference API
- LoRA fine-tuning at 2.500 credits per job
- Full fine-tuning at 5.000 credits per job
- GRPO fine-tuning at 10.000 credits per job
- Fluso with compounding memory across sessions
- 50+ connectors to your existing systems
- Cross-silo workflows automating complex tasks
- Confidential API with multi-modal private inference
- Secure voice transcription capabilities
- Vision Language Models (VLMs) support
- Large Language Models (LLMs) access
- Dedicated reserved GPUs for enterprise
- RLHF dashboard access for enterprises
- Unlimited experiments evaluations fine-tuning inference
- Engineering support channel for enterprises
- Volume discounts for large credit purchases
- Hosted in Switzerland with Swiss privacy laws
Prem AI cons
- No free tier for developers (credits required)
- LoRA fine-tuning requires 2.500 credits minimum
- Full fine-tuning requires 5.000 credits minimum
- GRPO fine-tuning requires 10.000 credits minimum
- Data generation costs 0.010 credits per datapoint plus AI cost
- Evaluation costs 0.010 credits per datapoint plus runtime
- Inference input at $0.20 per 1M tokens may be expensive
- Inference output at $0.60 per 1M tokens may be costly
- Enterprise pricing not publicly listed (contact sales required)
- No visible monthly subscription plans on website
- Credit-based pricing may be confusing for new users
- AI generation cost added to data generation separately
- AI judge runtime cost added to evaluation separately
- No free trial mentioned for developer tier
- Platform access requires API key setup first
- OpenAI SDK required instead of native SDK
- baseUrl change needed for OpenAI SDK integration
- No lifetime plan available
- Billing frequency not clearly specified
- Developer plan lacks included usage limits
Frequently asked questions about Prem AI
What is Prem AI?
Prem is an applied AI research lab dedicated to creating a future where everyone can access sovereign, private, and personalized AI. It provides a private AI ecosystem offering fine-tuning, document analysis, and high-performance inference with zero data retention, hosted in Switzerland. The platform includes Fluso (a private AI workspace), a Confidential API for developers, and the Prem Network (a peer-to-peer GPU network).
Is Prem AI private and secure?
Yes, Prem is built on private infrastructure where your data never touches a disk. Inference runs entirely in volatile memory and vanishes the moment it's done. Every interaction generates a hardware-signed proof enabling full auditability. The platform uses post-quantum encryption and Hold Your Own Keys (HYOK) architecture to ensure your models stay yours for decades. Enterprise tenants run inside hardware-isolated trusted execution environments with encrypted memory.
What fine-tuning methods does Prem support?
Prem supports three fine-tuning methods: LoRA fine-tuning at 2.500 credits, full fine-tuning at 5.000 credits, and GRPO fine-tuning at 10.000 credits. The platform makes creating custom models easy and efficient, with autonomous fine-tuning, evaluations, stats, and playground available on the Prem platform.
How does Prem pricing work for developers?
Developer pricing is credit-based: Data generation costs 0.010 credits per datapoint plus AI generation cost. Fine-tuning ranges from 2.500 credits (LoRA) to 10.000 credits (GRPO). Evaluation costs 0.010 credits per datapoint tested plus runtime costs. Inference using your model is $0.20 per 1M tokens for input and $0.60 per 1M tokens for output. No free tier is mentioned for developers.
What enterprise features does Prem offer?
Enterprise plans include platform access with unlimited experiments, evaluations, fine-tuning, and inference. Performance features include dedicated reserved GPUs for generation and inference. Evaluation includes RLHF dashboard access. Support includes an engineering support channel. Enterprise tenants run inside hardware-isolated trusted execution environments on Prem AI's confidential compute with encrypted memory and remote attestation. Volume discounts are available for large credit purchases.
Where is Prem AI hosted?
Prem AI is designed and powered in Switzerland, with the platform hosted in Switzerland under Swiss privacy laws. This provides strong data protection and sovereignty guarantees for users requiring complete control over their data and model weights.
What models can I use with Prem?
Prem supports open-source SLMs (small language models) like llama3.2-3b and customized models you fine-tune yourself. The platform provides access to frontier AI models including Large Language Models (LLMs) and Vision Language Models (VLMs) through the Confidential API. You can also use Prem AI API or OpenAI SDKs to access your custom models.
How do I integrate Prem into my application?
You can integrate Prem using the Prem AI API or OpenAI SDKs. To use OpenAI SDK, install the premai package via npm, create a client with your API key, and change the base URL while keeping the same OpenAI SDK structure. The platform provides a REST API for interaction with any programming language that can make HTTP requests, using Bearer token authentication.
What is Fluso?
Fluso is a private AI workspace within the Prem ecosystem that puts your work in automated flow with full context, deep focus, and complete control. It features compounding memory that remembers your work across sessions, 50+ connectors to your existing systems, and cross-silo workflows. Fluso produces real artifacts like drafted decks, populated sheets, and briefing memos, not just chat responses. There is a free plan to try Fluso, and Pro is free for the first month for early users.
What is the Prem Network?
The Prem Network is the world's first peer-to-peer unstoppable GPU network to train and fine-tune open-source AI models. It leverages a distributed mesh of GPU providers to optimize processing of large open-source models. The network allows multiple devices—from consumer laptops to enterprise servers—to host partitions of large models cooperating peer-to-peer to process inference and fine-tuning requests. Communities can provide curated datasets and incentivize workers with Bitcoin and Tether USD. Prem Network is free and open to anyone to use.