Now raising first capital.
| What | Sovereign deterministic intelligence platform — a 23.6 MB server binary replacing probabilistic AI with physics-governed verification |
| Category | Deterministic Zero-Trust — a new class of intelligence infrastructure |
| Hardware path | Deterministic kernel → ASIC/FPGA silicon embedding, voice prosthetics, hearing prosthetics |
| Stage | Pre-seed. Self-funded. Product live at dtospulse.com |
| Footprint | 781.4 KB kernel footprint (measured, benchmark certificate 11 Sep 2026) · ~2 MB benchmark kernel binary · 23.6 MB server binary |
| Raising | Open now: $250–500K CAD bridge SAFE — hardware-validation tranche · pre-seed of $2–3M at $30M post-money SAFE cap opens after hardware validation |
| Founder | David W. Taylor — independent researcher, sole architect |
| Company | Briteminds Global Technologies Inc. |
| Where | Calgary, Alberta, Canada |
| Structure | Parent IP vault (52% controlling stake) with independent vertical subsidiaries |
All benchmarks are cargo bench targets — independently reproducible. Full benchmark details →
Artificial intelligence is the most powerful technology of this generation. It is also the least trustworthy. Large language models hallucinate, fabricate citations, and produce outputs that cannot be independently verified. Every enterprise deploying AI is building on a foundation that cannot guarantee its own correctness.
The regulatory walls are closing. The EU AI Act is enforced. Canada’s AIDA lapsed with the January 2025 prorogation. The UK AI Safety Framework is live. US SEC and NIST guidance requires documented basis for AI-assisted decisions. Every jurisdiction is arriving at the same conclusion: unverifiable intelligence is a liability.
David W. Taylor has the answer. Not a patch. Not a guardrail. A mathematically governed foundation that eliminates hallucination architecturally — and he has already built it. The same deterministic kernel that powers the software workstation is a direct candidate for silicon — deterministic intelligence on a chip.
Clean signal for every investor class. Defence VCs see defence. Healthcare VCs see healthcare. Neither is confused by the other.
Parent entity. Owns all patents, core algorithms, and trade secrets. Operates the kernel. Publishes research. Licenses technology vertically. Permanent 52% controlling equity in all children.
Independent entities per sector — Defence/Aero, Healthcare/Bio, Robotics/SCADA, Enterprise (DeeCi). Each pursues its own market, investors, and valuation. Cross-sector moat: every kernel improvement upgrades all children.
Built the entire platform — 81+ Rust crates, 20 published papers, 835+ registered discoveries — in nine months of independent research. Applied pure mathematics and physics as governing law to the problem of machine intelligence. The result is a unified kernel that processes 1.8 million verified queries per second with 15-decimal deterministic reproducibility.
The kernel, the research, the benchmarks, the workstation, the prosthetics pipeline, and the IP vault are all the work of one person. This is not a team scaling a known approach. This is a new field of science with a working implementation.