Enterprise-specific intelligence platform with a multi-model router
Build an intelligence layer for an organization by adapting an open-weight base model to the organization's proprietary data, then routing requests between that model and one or more frontier models. Use the organization-specific model for execution and the frontier models for more advanced planning or cross-checking.
From a16z — Why AI Demand Is Outrunning Compute Supply at 48:32
Problem: Organizations want to use advanced AI without handing their proprietary context to a frontier lab, and they need different models for different tasks rather than relying on one model for everything.
For: Large enterprises and other organizations for which intelligence capabilities, cost, privacy, and control are strategically important.
Products from this video
Claude Code Cursor Fireworks Nexus Grok Harvey OpenAI Codex Starlink
Examples
- Fireworks Nexus: described as allowing organizations to choose a frontier model, adapt an open-weight model to their data, and control their intelligence behind a router.