US imposes 25% tariff on Chinese EVs
CN EV exports ↓ → MX contract manufacturing utilization ↑, US used-EV prices soften
AGENTIX · ENTERPRISE AI INFRASTRUCTURE
Agentix builds WOMO: the enterprise world model.
Every organization holds a model of the world and a model of itself, and the two never touch. WOMO holds both, and the causal path between them. Deployed inside your perimeter, where your data never leaves.
THE QUESTION NOTHING ELSE ANSWERS
Freight costs spike thirty percent. Every system in the building can tell you that happened, and several will give you a sentiment reading on it. None of them can tell you what it does to this company's cash position and covenant headroom over the next eighteen months. That path is the product.
WOMO, LIVE
SIMULATION REPLAY · 194K CANONICAL ENTITIES · 119K VALIDATED CAUSAL EDGES
GLOBAL IMPACT GRAPH · 6 ACTIVE
Live signal propagation
POSITIVE NEGATIVE NEUTRAL
SIGNALS / S347K
EVENTS / 24H128
COUNTRIES HIT47
AVG LATENCY3.2S
SENTIMENT−0.14
LIVE FEEDSTREAMING
SIMULATION REPLAY · 194K ENTITIES · 119K EDGES
OPEC+ announces surprise 1.2M bpd supply cut
Brent ↑ → IN refining margins compress, DE chemicals feedstock costs ↑
Sony shifts image-sensor production to Hanoi
VN electronics FDI ↑ → CN sensor makers cut prices, smartphone BOM deflation
Panama Canal draft restrictions reinstated
Daily transits ↓ → US Gulf LNG shipping costs ↑, Asian spot LNG firms
TSMC accelerates N2 capacity ramp in Arizona
US advanced-node supply ↑ → JP specialty-gas exports ↑, TW industrial power demand growth slows
SIGNALS / S347K
EVENTS / 24H128
COUNTRIES HIT47
AVG LATENCY3.2S
BENCHMARK: ASRB
Benchmarked against frontier models.
ASRB. Multi-step causal decision tasks on real enterprise scenarios.
SEE THE MIRAGE BENCHMARK →Three systems. One model: WOMO.
SUBSTRATE
ONE REPRESENTATION OF YOUR MARKET, NOT A LIBRARY OF DOCUMENTS
119K+ VALIDATED CAUSAL EDGES · 194K+ CANONICAL ENTITIES
LEARNING
THE MODEL DOES NOT GET WORSE AT WHAT IT ALREADY KNEW
BACKWARD TRANSFER ≈ 0%
REASONING
SHOWS THE PATH, NOT JUST THE ANSWER
GROUNDED IN DO-CALCULUS
DEPLOYMENT
Sovereign by architecture, not by policy.
Others ask you to send data to their models. We send the model to your data. Model, data, and inference stay within your perimeter, no call home, no shared tenancy, no data egress by construction. Autonomy is governed: every threshold, action boundary, and escalation path is set by you and auditable by you. Deployable in-region, air-gapped where required, with no hyperscaler dependency.
SOVEREIGN VPCZERO DATA EGRESSGOVERNED AUTONOMY12 PATENTS FILED
TEAM
Built by operators who have shipped AI at scale.
Agentix is founded by the operator behind Microsoft's first enterprise Copilots, with a team that has built and shipped enterprise AI at the largest companies in the world, with five prior exits across the founding team, and researchers from NYU's deep learning group.
FOUNDER & CEO · EX-MICROSOFT
Ex-Head of AI Products at Microsoft; launched Microsoft's first enterprise Copilots and AI agents across a $50B portfolio. Member of the Microsoft AI Council. 12 patents filed. Prior infrastructure startup backed by Cisco, Fidelity, and Nokia, exited to NTT Comm (Japan).
FIRST ENTERPRISE COPILOTSMICROSOFT AI COUNCIL12 PATENTSEXIT → NTT COMM
CTO · STANFORD MS CS
Stanford MS in Computer Science. Three prior exits building large-scale systems and machine-learning infrastructure.
STANFORD MS CS3 EXITSML INFRA AT SCALE
FOUNDING TECHNOLOGIST · CMU PHD
CMU PhD; ex-Google. Prior exit at $700M+. First investor in the company.
CMU PHDEX-GOOGLE$700M+ EXITFIRST INVESTOR
EXISTING INVESTOR BASE
Current and former executives and technologists from Microsoft, Google, Amazon, Salesforce, Snowflake, IBM, and Walmart, plus the former Chief Strategy Officer of Verizon.
TEAM ALUMNI
INVESTOR & ADVISOR AFFILIATIONS
FULL TEAM BIOS, PATENT FILINGS, BENCHMARK RESULTS, AND PILOT REFERENCES AVAILABLE IN THE DATA ROOM UNDER NDA.