Invest in the future of
machine cognition
TerraFlock has built a working synthetic brain with emergent intelligence. Not statistical. Not trained. A fundamentally different approach to machine cognition.
Entropis Benchmark Suite
Raise
Use of Funds
Valuation Justification
Key Differentiators
Technology
Emergent Intelligence
Unlike LLMs that predict tokens statistically, Entropis exhibits genuine emergent behavior. The same architecture produces identical intelligence markers on completely different hardware.
Full Embodiment
Complete sensorimotor integration: vision, hearing, motor control, and interoception. Our research confirmed that minds need bodies, synthetic brains require simulated heartbeat.
Storage-Based Scaling
Bottleneck is NVMe storage, not GPU compute. This fundamentally changes the economics of scaling intelligence. No data centers required.
Competitive Edge
Architecture Moat
Proprietary architecture that took years of research to develop. Not disclosed even under NDA. Can only be demonstrated, not explained.
Economics Advantage
Zero training cost vs. $100M+ for LLMs. Runs on consumer hardware. Scales with storage, not compute. Fundamentally different cost structure.
First-Mover in True SI
While competitors scale data centers for statistical AI, we've built actual synthetic intelligence. Different paradigm, different destination.
Team
Shiv Goswami
Founder & CEO
Genevieve Sarran
Co-Director
Risk Assessment
Technology Risk
Technology already works and is validated. Risk is in scaling, not in fundamental approach. 100+ benchmarks across two different hardware platforms.
Market Timing
AI industry at inflection point. LLM limitations becoming apparent. Growing demand for fundamentally different approaches to intelligence.
Competition
No direct competitors in synthetic intelligence space. Big tech focused on scaling statistical approaches. Architecture is proprietary and not disclosed.
Team Size
Small team currently. Mitigation: funds will be used to scale engineering and research teams. Core architecture already proven.