SIVONX Roadmap: Bridging the Gap to AGI

The term AGI (Artificial General Intelligence) is thrown around loosely. At SIVONX, we define it specifically: a system capable of generalizing knowledge across unknown domains without retraining. We aren't there yet, but our roadmap is clear.

Phase 1: Specialized Agents (Current)

We are currently mastering vertical excellence using Mixture of Experts (MoE) architectures. Our legal agent is a senior partner; our coding agent is a staff engineer. They are brilliant silos.

Phase 2: Agent Swarms (2026 Q4)

The next step is collaboration. We are building 'Swarms'—clusters of specialized agents that debate and iterate. A 'Critic' agent reviews the code of a 'Builder' agent. A 'Security' agent red-teams the plan of a 'Strategy' agent. This adversarial process yields higher quality outcomes than any single model.

Phase 3: Neuro-Symbolic Integration (2026)

LLMs are probabilistic; math and logic are deterministic. We believe the path to AGI lies in merging deep learning with symbolic logic. Our R&D labs are experimenting with neuro-symbolic systems that can 'reason' with 100% logical consistency while retaining the creativity of neural networks.