# Prem vs Vana

Prem records 45,892 monthly visits with +4.3% month-over-month growth and Contact for Pricing pricing. Vana records 5,701 monthly visits with -45.5% growth and Free pricing.

| Metric | [Prem](https://openaitools.app/tool/prem) | [Vana](https://openaitools.app/tool/vana-com) |
| :--- | :--- | :--- |
| Website URL | https://www.premai.io | https://vana.com |
| Categories | Open Source AI Models, Large Language Models (LLMs), AI Models, AI API | AI Models, Open Source AI Models, Large Language Models (LLMs), Web3 |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 45,892 | 5,701 |
| MoM Growth Rate | +4.3% | -45.5% |
| Primary Market | United States | United States |
| Direct Visits | 11,903 | 2,339 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 0 | 8 |
| Supported Platforms | Website | Website |

## Prem

Prem is an enterprise AI company built around the idea of sovereign intelligence: verifiable, private and owned by the organization rather than rented from a public cloud API. Its flagship developer product, Enclave, runs frontier open models on encrypted GPUs with hardware-verified attestation at every layer — the company's own claim is that even Prem cannot access your data. Language models, vision-language models and secure voice transcription are available through it.

On top of that infrastructure, Prem offers Fluso, an agent platform for building and deploying enterprise agents grounded in proprietary SOPs, with self-improving skills, connectors to more than a hundred enterprise tools, a no-code builder and event or schedule triggers. Prem Studio handles model customization and fine-tuning on private data for teams that need their own tuned models.

The target market is regulated organizations — healthcare, financial services, government and legal — where public cloud AI is often ruled out. Published case studies describe a European RegTech firm processing regulatory documents inside its own perimeter, a North American healthcare provider extracting structured data from millions of patient records under HIPAA, and a Fortune 50 retailer running on-premise demand forecasting. Prem is designed and powered in Switzerland with offices in Lugano, Wilmington and Italy, and pricing is arranged through a demo.

**Pricing & Plans:** Contact for pricing. Prem is an enterprise platform sold through demos and custom agreements rather than published tiers; developers can start with the documentation and API, and use the model playground to evaluate capabilities.

- **Encrypted inference (Enclave):** Run frontier models on encrypted GPUs with hardware-verified attestation at every layer, so the provider cannot access your data.
- **Private agents (Fluso):** An agent platform for building and deploying enterprise agents on your own SOPs, with skills, 100+ tool connectors and no-code building.
- **Model customization (Prem Studio):** Customize and fine-tune models on private data — vision, language and secure voice transcription included.
- **Deployment inside your perimeter:** Deploy inside your own perimeter so data residency and compliance rules for healthcare, finance, government and legal are respected.
- **Compliance posture:** SOC 2 Type I, ISO 27001 and FADP referenced, with case studies across regulated industries.

**Strengths:** Strong privacy story: encrypted inference with hardware attestation.; Covers inference, agents and model customization in one platform.; Aimed squarely at regulated industries with compliance references.; Open-model friendly and available as a deployable, in-perimeter stack.

**Limitations:** Enterprise-focused, so there is no simple self-serve signup for small teams.; Pricing requires a demo and is not published publicly.; Harnessing the full platform benefits from engineering resources.

[Profile (Markdown)](https://openaitools.app/tool/prem.md)

## Vana

Vana is built on a simple premise: the data people generate should belong to them, and AI should be able to learn from it only with explicit, revocable permission. To make that practical, Vana combines a peer-to-peer protocol with a data portability layer. Users connect the services they already use through open-source connectors or a desktop agent, and their Personal Server — running locally in a browser tab or bundled into the desktop app — encrypts the collected data and syncs only ciphertext to hosted storage. Nothing leaves the device in the clear, and nothing is decrypted without a permission the user has granted.

Access is handled through first-class protocol primitives: identity, permissions, fees, schemas, files and Protocol-Governed Encryption. When a builder presents a valid grant, the user's Personal Server decrypts the covered scope and returns it directly to the builder; the grant itself is recorded on-chain and every read lands in an access log the user can review. DataDAOs and pooled confidential compute sit on top as an optional application layer, letting groups contribute data to shared jobs without exposing raw records.

For developers, Vana looks like a normal SDK workflow. You install the Vana SDK, request user-approved data, read it from the user's Personal Server, and settle protocol fees from an app escrow balance. The protocol runs on the Vana L1 with the VANA token used for staking, bridging and network security. Collection, encrypted storage, on-chain primitives, the DP RPC and grant-gated access are all live on mainnet and the Moksha testnet, with confidential compute and decentralizing the sequencer on the roadmap.

**Pricing & Plans:** Vana is free to use for the core protocol and SDK. Builders pay protocol fees from an app escrow balance when reading user-approved data, and the network supports an optional USD-billing gateway for OAuth-based apps.

- **User-owned data portability:** People collect data from services they already use through open-source connectors, and that data stays on their own device or encrypted storage they control.
- **Personal Server and on-chain grants:** A locally running access engine encrypts data and releases it only against a valid on-chain permission, with every read written to a reviewable access log.
- **Vana SDK for builders:** Install @opendatalabs/vana-sdk to request user-approved data, read it from a Personal Server, and settle protocol fees from an app escrow balance.
- **DataDAOs and confidential compute:** Groups pool data for privacy-preserving compute jobs, so contributions can be used by AI without exposing raw records.
- **Vana L1 and VANA token:** The protocol settles on its own L1 with validators, core contracts, and the VANA token used for staking and bridging.

**Strengths:** Genuine user-ownership model: local encryption, on-chain grants, and a reviewable access log instead of silent data sharing; Public, well-structured developer documentation with an SDK, CLI, and protocol spec; Open-source connectors and a permissionless direct SDK path keep the network from depending on a single operator; Live on mainnet with a clear roadmap for confidential compute and sequencer decentralization

**Limitations:** Requires understanding of wallets, encryption concepts, and grants, which is heavy for non-technical users; Parts of the hosted stack (RPC gateway, Context Gateway) are still operated by Open Data Labs; Confidential compute and Protocol-Governed Encryption are partly in progress rather than fully shipped

[Profile (Markdown)](https://openaitools.app/tool/vana-com.md)

## Frequently Asked Questions

### How do Prem and Vana compare in monthly traffic?

Prem has 45,892 monthly visits, while Vana has 5,701. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Prem has a month-over-month growth rate of +4.3%; Vana has -45.5%.

### How does pricing compare?

Prem: Contact for Pricing. Contact for pricing. Prem is an enterprise platform sold through demos and custom agreements rather than published tiers; developers can start with the documentation and API, and use the model playground to evaluate capabilities. Vana: Free. Vana is free to use for the core protocol and SDK. Builders pay protocol fees from an app escrow balance when reading user-approved data, and the network supports an optional USD-billing gateway for OAuth-based apps.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building | [.md](https://openaitools.app/tool/bigmodel.md) |
| 4 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Google's family of lightweight, open-weight AI models | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) |
| 5 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Ultra-fast AI inference on the LPU and LPX platform | [.md](https://openaitools.app/tool/groq.md) |
| 6 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 7 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | Open-source model and dataset hub with one-click online demos | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 8 | [BytePlus](https://openaitools.app/tool/byteplus) | 3,036,127 | -30% | Freemium, Paid | AI-native cloud for building and scaling enterprise AI | [.md](https://openaitools.app/tool/byteplus.md) |
| 9 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 10 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |

---
Source: https://openaitools.app/compare/prem-vs-vana-com

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
