Secure, private, and enterprise-grade AI deployed on your own infrastructure, fully controlled by you. Our solution eliminates dependency on external providers while giving you access to powerful open-source models configured for your use case.
The Limitations of Cloud-Based AI for Enterprises
Modern AI is powerful, but relying on public APIs or cloud-based LLMs exposes companies to real risks. When sensitive data and intellectual property leave your boundary, privacy, compliance, cost, and control all become vulnerabilities.
Data leaving the company boundary, risk of leaks, compliance violations, or regulatory exposure.
Intellectual property or trade secrets at risk when relying on external APIs or cloud-based services.
Unpredictable operating costs due to pay-per-use or per-token pricing models, especially as usage scales.
Operational dependency on third-party providers, creating exposure to outages, service disruptions, or sudden policy/price changes.
What Makes Us Different
Our AI deployment operates fully on your hardware, giving you complete privacy, predictable pricing, and customizable performance. By integrating your knowledge base via RAG (Retrieval Augmented Generation), your self-hosted models become deeply informed about your company’s context, boosting relevance and responsiveness while eliminating reliance on third-party APIs.
True data privacy: No data leaves your organization
Custom intelligence: Models trained/augmented with your proprietary knowledge
Predictable costs: Fixed packages, no per-token surprises
Reliable uptime: No dependence on external API availability
Supported Models
We support a range of high-demand open-source AI models that can be configured for your needs, from general NLP and reasoning tasks to coding assistance and domain-specific workflows. These models run on your dedicated hardware with the right precision and quantization for performance and cost balance.
Developer Tools & IDE Integration
If your team wants to connect self-hosted models to developer environments like VS Code, or replace costly AI IDE tools (e.g., Cursor), we can support that as an optional integration. These workflows — such as real-time code suggestions or advanced agent tooling — often require larger models and more powerful hardware, and will be priced separately to reflect the added infrastructure and engineering effort.
VS Code and IDE-centric coding AI support with Real-time suggestions & inline assistance
Team-wide, secure development workflows
* Prices indicative — final depends on hardware & service details.
** Compared to maximum users in corporate OpenAI workspace.
***AI coding may require more sophisticated hardware depending on the needs. Reach out to us for details
Not only private, cheaper in the long run for large teams. Build and own your AI platform with predictable costs and no usage caps. Use it as much as you wish without per-token pricing surprises.