Secure private model execution, retrieval systems and autonomous agent runtimes.
Using public AI APIs leaks proprietary corporate data and customer records to external vendors.
Off-the-shelf AI models hallucinate because they lack integration with actual internal company databases.
Employees copying sensitive internal codebase and operational data into public AI chat portals.
No systematic way for AI to read runbooks, contracts, or transaction history safely.
We deploy open-weights models (Llama-3, Mistral) in secure, private containerized runtime environments.
Vector search architectures are built to connect your documentation to the models securely.
Open-weights models running on isolated GPUs owned and controlled by your organization.
Retrieval systems that safely index internal knowledge bases to deliver accurate answers.
Zero business data ever shared with third-party AI model providers.
Reliable, context-aware AI assistants resolving user support and operations tickets.
Run large language models inside your own secure perimeter, protecting proprietary data.
Deploy persistent AI agents that execute complex back-office tasks continuously.
Automating loan document reviews using private, secure AI models.
Summarizing physician notes while strictly preserving HIPAA compliance.
Deploy open-weights models and set up vector retrieval databases.
Build user frontends and integrate AI API endpoints into workflows.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.