UphillSnowball deploys autonomous research agents that prove every claim before publishing. Null-model validation, continuous citation verification, and dual-gear research cycles — so your AI doesn't guess. It knows.
Every AI-generated insight is stress-tested against 1,000 randomized data permutations. If the "discovery" persists in noise, it's hallucinated — and automatically rejected. This is how we achieve zero-hallucination output.
Gear 1: fast, human-steerable interactive research cycles during the day. Gear 2: deep autonomous Kosmos sweeps overnight — processing 1,500 papers and 42,000 lines of analysis per run. Your AI never sleeps.
Continuous citation verification. Legal citations Shepardized via CourtListener. Medical references checked against PubMed retraction databases. Source freshness contracts enforce revalidation cadence. Nothing stale reaches output.
Active AST-level mitigation rewrites non-compliant AI outputs in real time. Covers Federal UPL, FTC, COPPA, and GDPR — not blocking outputs, but surgically rewriting them for compliance with real-time proof generation.
Your data never leaves your boundary. Per-tenant isolated compute with CMEK encryption, cryptographic memory severance (Protocol RKILL), full audit trail, and zero-egress architecture. 100% data sovereignty guaranteed.
Architect → Builder → Critic → Corrector → Vault → Jetski. Six specialized agents with typed roles, deterministic kickback loops, and the Ding Protocol — a disciplined escalation ladder from soft-pause to full severance.
Human-steered fast research. You ask, agents explore in parallel. Results in seconds, with source URLs attached to every claim.
Every claim permutation-tested 1,000×. p-value enforcement kills hallucinated correlations. Only statistically valid insights pass.
Overnight autonomous sweeps. 1,500 papers analyzed, 42,000 lines synthesized. Morning briefing with verified discoveries and actionable intelligence.
ShadowTagAI exists to bridge the gap between radical technological advancement and the non-negotiable requirements of institutional security. Our UphillSnowball architecture is designed from the silicon up to ensure that intelligence belongs to the operator, never the provider.
We provide the foundation for sovereign nations and global enterprises to deploy next-generation AI without compromising their most sensitive data assets. Our infrastructure is transparent, auditable, and entirely autonomous.
ShadowTagAI officially incorporated as a Delaware C-Corporation, establishing the legal foundation for sovereign AI infrastructure development and the UphillSnowball platform.
Help us build the next generation of sovereign infrastructure for the world's most critical institutions.
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The leadership team building the future of sovereign AI infrastructure.
Visionary technologist and founder of ShadowTagAI, leading the development of the UphillSnowball sovereign AI platform. With deep expertise in multi-agent systems, zero-trust architecture, and edge AI deployment, the mission is clear: build infrastructure where intelligence belongs to the operator, never the provider.
Prior experience spans full-stack engineering, machine learning research, and enterprise AI deployment. Passionate about bridging the gap between radical technological advancement and the non-negotiable requirements of institutional security.
Sovereign AI Infrastructure That Rolls Uphill — the only platform that mathematically guarantees digital liability protection while turning AI into unstoppable enterprise value.
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