webAI
Sovereign AI platform that builds, deploys, and operates custom AI on local infrastructure with full ownership, low latency, and predictable costs.
At a Glance
Pricing
Paid
Engagement
Available On
About webAI
webAI is a sovereign AI platform that enables enterprises to build, deploy, and operate custom AI models on their own local infrastructure. Founded in 2019 by engineers from Michigan, webAI recognized early that sensitive, high-stakes applications in healthcare, manufacturing, and military operations require intelligence that runs locally with resilience, privacy, and ownership built in. The platform brings AI to your data rather than sending data to the cloud, powering specialized intelligence trained on proprietary knowledge.
-
Run AI Locally - Deploy AI on your own infrastructure with local orchestration, keeping sensitive data in place and reducing export risks while maintaining full control over your operations.
-
Own Your AI - Design and operate models on your terms with auditable decisions, allowing your intellectual property to compound with your organizational knowledge over time.
-
Build Custom AI - Operate custom models locally at mission speed and accuracy with clear governance and a predictable cost profile you can forecast.
-
Companion Application - A secure, on-device assistant that connects every employee to private AI, putting trained models to work across your organization.
-
Navigator - Build, train, and deploy custom AI models on your infrastructure with full transparency and control over the entire process.
-
Runtime - Orchestrates distributed AI workloads across heterogeneous hardware, scaling from one device to entire clusters seamlessly.
-
webFrame - Delivers optimized inference and training with adaptive quantization and intelligent batching for maximum efficiency, achieving 5-7× faster inference versus leading C++ libraries.
-
Network - Connects every model, dataset, and device through a secure, local fabric for high-speed collaboration without cloud dependency.
-
CLI - Provides developers full command-line control to build, extend, and manage AI environments at scale.
-
Entropy-Weighted Quantization (EWQ) - Compresses models by 30% while maintaining accuracy near 99.5%, enabling efficient deployment on existing hardware.
-
Industry Solutions - Purpose-built AI for healthcare, manufacturing, financial services, aviation, public sector, and retail with specialized workflows for each industry.
To get started with webAI, enterprises can contact the sales team to discuss their specific infrastructure requirements and use cases. The platform is designed for organizations that need to maintain data sovereignty while leveraging powerful AI capabilities on their existing hardware.
Community Discussions
Be the first to start a conversation about webAI
Share your experience with webAI, ask questions, or help others learn from your insights.
Pricing
Enterprise
Custom AI platform deployment for enterprises
- Local AI deployment
- Custom model building and training
- Companion on-device assistant
- Navigator model management
- Runtime distributed orchestration
- webFrame optimized inference
- Network secure fabric
- CLI developer tools
- Air-gapped deployment support
- Industry-specific solutions
Capabilities
Key Features
- Local AI deployment on existing infrastructure
- Custom AI model building and training
- Entropy-Weighted Quantization (EWQ) for model compression
- Distributed workload orchestration
- Secure on-device AI assistant (Companion)
- Full transparency and auditability
- Air-gapped deployment support
- CLI for developer control
- Multimodal KG-RAG capabilities
- Cross-device network fabric
- Adaptive quantization and intelligent batching
- Industry-specific AI solutions