The energy efficiency of agent networks
VDF AI's agent networks reduced predicted energy consumption by up to 94.9% compared to a single-model baseline in a controlled benchmark, while maintaining non-inferior output quality within a pre-re…
VDF AI's agent networks reduced predicted energy consumption by up to 94.9% compared to a single-model baseline in a controlled benchmark, while maintaining non-inferior output quality within a pre-re…
A European fintech start-up deployed an on-premises AI customer support system from VDF AI to improve scalability, compliance, and operational efficiency. The system operates inside the company's own …
GitHub Copilot, OpenAI Codex, Claude Code, and Cursor lead the 2026 market for agentic coding tools, each optimized for different development environments and security postures. The best tool depends …
VDF AI has released a platform enabling consulting firms to deliver governed on-premises AI implementations for enterprise customers in regulated industries. The 2026 AI consulting market has shifted …
Enterprise AI is shifting from chatbots to autonomous agents that can plan, use tools, call APIs, and execute multi-step business processes, driving demand for on-premises deployment in regulated indu…
VDF AI has launched an on-premise intelligence platform that orchestrates multi-agent AI workflows with dynamic model routing, automatically selecting the optimal model for each task based on complexi…
VDF AI has launched a sovereign artificial intelligence platform designed for regulated enterprises, enabling on-premises deployment of private retrieval-augmented generation, governed agents, model r…
VDF AI built SEEMR, a self-evolving model router, to replace static rule tables for enterprise AI workload routing because rule tables cannot adapt to changing model catalogs, workload mixes, and runt…