Private AI Platform deployed on your infrastructure

Take control of your AI with a complete platform deployed on-premises or in your private cloud. Run AI models, vector stores, RAG systems, and AI agents on your infrastructure with full data sovereignty.

About Us

We deliver complete private AI infrastructure that enterprises can deploy on-premises or in their private cloud, ensuring data sovereignty, security, and full control over AI capabilities without compromising on performance.

Days to Production

14

AI Models Supported

50+

Uptime Guarantee

99.9%

Enterprise-Grade Security

100%

Platform Features

Complete AI infrastructure in one unified platform

Private AI Models

Deploy and run state-of-the-art LLMs and AI models on your infrastructure. Support for 50+ models including GPT, Llama, Mistral, and custom models. Full control over model training, fine-tuning, and inference—all within your security perimeter.

Features: Model registry, version control, fine-tuning tools, inference optimization, multi-GPU support, model monitoring

Vector Store & RAG

Enterprise-grade vector database with built-in RAG (Retrieval-Augmented Generation) capabilities. Index and query millions of documents with semantic search. Connect your proprietary data to AI models securely without data leaving your infrastructure.

Features: Vector embeddings, semantic search, document chunking, retrieval pipelines, hybrid search, data connectors, access controls

AI Agent Builder

Build and deploy custom AI agents with visual workflows, pre-built templates, and integration tools. Create intelligent assistants, automation workflows, and AI-powered applications that leverage your private AI models and data—no external API dependencies.

Features: Visual workflow builder, agent templates, tool integration, multi-agent orchestration, API endpoints, testing & debugging
  • On-Premises Deployment
  • Private Cloud Deployment
  • Enterprise Security & SSO
  • Compliance & Audit Logs
  • GPU Management & Optimization
  • API Gateway & Access Control

how it works

Simple deployment process for your private AI platform

step 01

Requirements & Infrastructure Planning

We assess your infrastructure, workload requirements, and compliance needs. Define deployment architecture, GPU resources, storage, and network configuration for optimal performance.

step 02

Platform Deployment & Configuration

Deploy the complete AI platform on your infrastructure. Configure AI models, vector stores, agent builder, security policies, SSO integration, and connect to your enterprise systems.

step 03

Data Integration & Model Training

Connect your data sources, ingest proprietary data into the vector store, fine-tune AI models on your data, and build custom AI agents tailored to your business needs.

step 04

Launch & Ongoing Support

Go live with your private AI platform. Our team provides training, documentation, and 24/7 enterprise support for platform updates, model optimization, and scaling as your AI needs grow.

Why Choose Us

Enterprise-grade private AI infrastructure built for data sovereignty

Complete Data Control

100%

Data Sovereignty & Privacy

Your data never leaves your infrastructure. Deploy on-premises or in your private cloud with full control over AI models, training data, and proprietary information.

All-in-One Platform

1

Complete Solution, Not Piecemeal

Get everything you need in one platform: AI models, vector store, RAG, agent builder, management tools, and enterprise support. No need to integrate multiple vendors.

Infrastructure Agnostic

Any

Infrastructure Platform

Deploy on any infrastructure—bare metal, VMware, Kubernetes, or major cloud providers. Flexible architecture adapts to your existing environment without vendor lock-in.

get started

Ready to deploy private AI on your infrastructure?

Take control of your AI future with a complete platform that includes AI models, vector stores, RAG, and agent builder—all deployed on-premises or in your private cloud. Schedule a demo today.

faq

Private AI deployment questions answered here

The platform includes everything you need: AI model deployment and management (50+ models supported), enterprise vector database with RAG capabilities, visual AI agent builder, API gateway, security controls, monitoring tools, and 24/7 enterprise support. It's a complete solution in one unified platform.

You have full flexibility. Deploy on your on-premises infrastructure, private cloud (AWS, Azure, GCP with private connectivity), hybrid environments, or existing VMware infrastructure. The platform is infrastructure-agnostic and adapts to your environment. Your data stays within your security perimeter.

Typical deployment timelines range from 2-6 weeks depending on infrastructure complexity and customization requirements. This includes infrastructure setup, platform deployment, security integration, data ingestion, and training your team. We provide a detailed deployment roadmap during the planning phase.

Security is built-in at every layer. Your data never leaves your infrastructure—no external API calls to cloud AI services. The platform includes enterprise SSO, role-based access control, comprehensive audit logging, and encryption at rest and in transit. It supports compliance frameworks including SOC 2, HIPAA, GDPR, and industry-specific regulations.

The platform works with your existing infrastructure. Minimum requirements include GPU resources (NVIDIA recommended for optimal performance), compute and storage capacity based on your workload, and network connectivity. We support deployment on bare metal servers, virtualization platforms (including VMware), Kubernetes, or major cloud providers.