About webAI
webAI provides a comprehensive platform for organizations to own and operate custom AI models locally on their infrastructure, ensuring data sovereignty and security. It features tools like Navigator for building and deploying models, and Companion for secure on-device assistance for employees. This solution is ideal for industries with strict data governance and latency requirements, such as finance, healthcare, and manufacturing.
Key Features
Build Custom AI
Operate custom models locally at mission speed and accuracy, governed by a clear and forecastable cost profile.
Run AI Locally
Orchestrate AI workloads on your infrastructure with local execution, ensuring sensitive data remains in place and avoiding export risks.
webFrame Optimization
Delivers highly efficient inference and training through adaptive quantization and intelligent batching, achieving up to 5-7x faster inference than leading C++ libraries.
Secure Local Fabric (Network)
Connects every model, dataset, and device through a secure, local fabric, enabling high-speed collaboration without relying on the cloud.
Model Compression (EWQ)
Utilizes Entropy-Weighted Quantization (EWQ) to compress models, achieving 30% smaller sizes while maintaining near 99.5% accuracy.
Performance Gains
Achieve 2.6× better performance per dollar specifically on Apple Silicon hardware for real-world workloads.
Use Cases
Aviation Operations
Deploy intelligence that functions reliably everywhere operations occur, whether connected to the internet or operating offline.
Financial Transaction Processing
Process millions of transactions instantly while maintaining complete data sovereignty and security required by the sector.
Healthcare Data Insights
Enable millions of users to maintain ownership of their health data while leveraging AI-powered insights for wellness.
Manufacturing Floor Deployment
Deploy AI directly onto production lines to gain instant insights without incurring cloud latency or risking downtime.
Public Sector Compliance
Meet the highest security standards through air-gapped deployments, ensuring complete data sovereignty for sensitive government operations.
Retail Edge Intelligence
Transform physical stores into intelligent edge environments, delivering instant insights with zero requirement for data export to the cloud.
Frequently Asked Questions
How does webAI ensure data security?
Sensitive data stays in place by running AI on your infrastructure locally, which reduces risk and avoids data export.
What performance improvements can be expected?
webFrame can deliver 5-7× faster inference compared to leading C++ libraries, and offers 2.6× better performance per dollar on Apple Silicon.
Can I deploy models in air-gapped environments?
Yes, webAI supports air-gapped deployments, which is crucial for meeting the highest security standards in the Public Sector.
How are models optimized for size and accuracy?
Entropy-Weighted Quantization (EWQ) compresses models by 30% while maintaining accuracy near 99.5%.
Who is the target audience for webAI?
Organizations in regulated industries like Aviation, Finance, Healthcare, Manufacturing, and the Public Sector that require local, sovereign AI operations.
