Poor data quality costs U.S. businesses $3.1 trillion annually (IBM) — an average of $15 million per organization (Gartner). Most of it comes from decisions made on information that was wrong, stale, or contradicted — and no one caught it in time.
GEODEX is a SaaS platform that ingests your organization's files and live data flows, integrates them with external feeds and regulatory databases, and builds a perpetually evolving epistemic ontology — a living map of evidence, contradictions, confidence scores, and assumption strength. The result: a truth layer that your users can access via Ctrl + G from any app at any time for sourced, verified answers in seconds. Deploys in under an hour.
Quantitative trading desks at top-tier hedge funds have spent decades building infrastructure to do one thing well: make better decisions under uncertainty, with feedback loops that learn, evolve, and compound accuracy over time. Source credibility scoring. Temporal decay modeling. Reinforcement learning from resolved outcomes.
That infrastructure has never existed outside of capital markets. Now it does. GEODEX brings quant desk infrastructure to organizational decision-making — for a construction CFO making a $40M commitment, an O&G operator sizing a borrowing base, or a PE associate reconciling a CIM against historicals. The competitive edge that has powered elite trading desks and moved markets for decades now sits inside your organization.
Hit Ctrl+G from Excel, email, or any app and ask Geo anything. Verify a number before a meeting. Double-check an assumption before sending a proposal. Get an instant, sourced answer without digging through files. Every answer is traceable to the exact document it came from. When evidence is insufficient or contradicted, Geo says so — it does not fabricate to fill a gap. Every answer traceable. Every gap flagged honestly.
GEODEX ingests your documents, emails, and data exports, then tracks every factual claim with its exact source and date. When two sources conflict or a fact goes stale, the system flags it before your team acts on it. When the answer is unclear, the system says so. No manual curation. No silent drift.
Map out your options and stress-test each one against what your organization actually knows right now. See which paths are solid, which carry unresolved risk, and exactly what information would change the picture. Every committed decision generates a permanent, auditable brief.
A CFO is mid-spreadsheet. She hits Ctrl + G. An ambient overlay appears without leaving Excel.
She types: "Is our concrete unit cost assumption for the Henderson project still valid?"
Your model uses $142/yd³ from the March bid. Current supplier agreement caps at $138 but includes a fuel escalation clause triggered if diesel exceeds $4.20/gal — diesel closed at $4.31 yesterday. Effective cost is now approximately $151/yd³. Your model is understating by ~6.3%. Two other active projects share this assumption. Want to test a few cost scenarios?
| Capability | GEODEX | Glean | Hebbia | Palantir AIP |
|---|---|---|---|---|
| Tracks confidence in every assumption | ✓ Confidence-weighted | — | — | — |
| Flags when information goes stale | ✓ Automatic | — | — | — |
| Ontology (maps how assumptions depend on each other) | ✓ Epistemic ontology | — | — | ✓ Data ontology |
| Catches contradictions across sources | ✓ Persisted | — | — | Partial |
| AI admits what it doesn't know | ✓ Silence over hallucination | — | — | — |
| Est. annual cost (100 users) | ~$30–50K | ~$200–600K | ~$350–500K | ~$2–10M |
| Deploy time | ✓ Less than 1 hour | Months | Weeks | 12–18 months |
We deploy GEODEX against one project or data room. No IT organization. No enterprise contract. No months of onboarding.
Full platform. Real data. Unmatched operational accelerant.