Company Performance Metrics
- Sergey Shumsky: Chief Scientist
- Alexander Shumsky: Marketing Manager
Symbolic Mind is building the next generation of enterprise AI on a fundamentally different architecture. While transformer-based models require massive GPU clusters to operate, Symbolic Mind's neuro-symbolic platform runs efficiently on standard CPUs — delivering 100–1000× lower training and inference costs with no sacrifice in capability.
The platform combines hierarchical symbolic reasoning with continual learning, enabling enterprises to build AI that improves over time without catastrophic forgetting. It deploys on-premises, in the cloud, or at the edge, and runs on existing infrastructure without GPU investment. Symbolic Mind partners with chipmakers, server OEMs, and data centers to deploy AI that fits within real power and thermal budgets. The result: predictable operating costs, full model ownership, and AI that scales with the business, not with GPU procurement cycles.
