Discover your exposure before the next disruption hits.
Your supply chain data already exists, scattered across six systems that do not talk to each other. Map Collective fuses what you already have — bills of materials, trade records, vessel movements — into one live map of where you are exposed and how far a shock travels. No survey. No waiting on suppliers to self-report.
6 silos
Hold fragments of the one question none of them can answer alone
~60%
Of global trade activity sits below the declared customs layer
n-tier
Cascade depth traced from a single supplier or chokepoint shock
Weeks
To the first live exposure map, from the data you already own
What is our actual exposure, right now — and what should we do about it before the next disruption hits?
01Procurement
ERP, purchase orders, supplier contracts. Can name a tier one, cannot see what that tier one depends on — or which tariff line lands on it.
Tariff exposure02Sourcing
Qualified suppliers, lead times, geographies. No view of which origins carry forced-labor risk before the order is placed.
Origin & forced-labor exposure03Risk
Static scores and quarterly reports. Stale within weeks — and blind to how far a single shock actually cascades.
Cascade risk exposure04Compliance
CSRD, EUDR, scope 3. Cannot trace origin exposure past supplier self-attestation, which is the only instrument on hand.
Compliance exposure05Data & analytics
Lakes, BI, dashboards. Surfacing data is not the same as deciding what to do about it before the week is out.
06Supply chain
Production days lost. Revenue at risk. Caught reacting to a disruption rather than deciding ahead of it.
Four of these silos are a door into the same exposure engine — cascade risk, compliance, tariffs, origin & forced labor. Open whichever one is on your desk today.
30–50%
Typical response rate on quarterly supplier surveys — the industry’s current best instrument.
Quarterly
The cadence risk is reported on. A chokepoint does not wait for the next report.
01Integrate
One connected graph across four source layers — internal ERP and BOM; external bill-of-lading, AIS, sanctions and ownership; federated queries against willing suppliers, in-jurisdiction; and dark-node inference where the data simply is not there. No central pool. No breach surface. No migration.
02Prioritize
A unified graph is still noise without ranking. GRID orders signal by business impact — production days lost, revenue at risk, material shortfalls — not by arrival order. Your highest-exposure nodes surface first; everything else stays out of the way until it stops being noise.
03Decide
30/60/90-day cascade forecasts. Scenario modeling for supplier loss, chokepoint closure and sanctions shock. Alternative supply chain designs scored across cost, risk and time. Every output confidence-scored, every data point provenance-tracked. Audit-ready by construction.
We do not ask your suppliers to fill out a form, and we do not guess at what we cannot see. We fuse the data that already exists into one graph — then read your exposure off it.
01Dependency graphLIVE
Materials traced root to canopy across tiers, with confidence and exposure carried on every edge. No survey required.
02Logistics intelligenceLIVE AIS
Bill-of-lading and AIS fused. Lanes, ports and chokepoints monitored continuously — arrivals surfaced before they are surprises.
03Risk intelligenceUPDATED 14:32 UTC
Forced-labor zones, geopolitical risk, shipping chokepoints and active disasters — layered, scored, and routed back to the exposure that matters.
Corroborated. Declared, and confirmed in independent transactional data. Two views agree.
Both graphs
Additional. A node the declared graph never mentioned, surfaced from observed activity.
Transactional only
Divergent. Observed activity contradicts what was declared. The gap is itself the finding.
Conflict
Unobserved. Declared, not yet seen in external data. Reported plainly as unobserved, never inflated into proof.
Declared only
Enriched. Every node carries its own dossier: ownership, geography, trade activity, sanctions, risk.
Per node
We sell you synthesis you can act on — never a guess dressed up as certainty.
Try nowGRID·CORE
9 sources1 graph0 copies
External signal
Inside your perimeter
01
Your ERP stays in your ERP. No central lake to build, no warehouse to maintain. GRID reads where the data already is, and writes back as decisions.
02
Deployable inside your data perimeter. SOC 2 Type 2 certified. Compatible with data-sovereign environments and classified networks — one platform serves both.
03
Where supplier data is missing or withheld, GRID infers — confidence-scored at every step. Every deployment enriches the shared dependency graph the next one inherits.
04
Scraper backends. LLM provider routing. Data enrichment. Disaster polling. Risk signal generation. And the recommendation layer — the one that closes the loop from signal to action.
When the Strait of Hormuz seized, the companies that moved first were not the ones with the most dashboards — they were the ones who already knew which of their inputs ran through it.
We saw the chokepoint close before it was a crisis.
Map Collective mapped that exposure ahead of the disruption. The next chokepoint is already forming. The only question is whether you see your exposure before it is on the front page — or after.
Live triggers, each a door into the same engine: a compliance deadline, a tariff shock, a supplier failure. See it on public data first, then we run it on your supply chain, privately, to the part number.
REQUIREMENT
TODAY'S PROCESS
WITH GRID
Sub-tier supplier mapping
Consultant-led mapping exercise. Three to six months, $500K to $2M, out of date on delivery.
41,300+ supplier relationships mapped in days, validated against ground-truth BOM. No survey required.
Supplier risk intelligence
Quarterly supplier surveys at 30–50% response rates. Stale within weeks, with no confidence scoring.
Continuous, confidence-scored risk signals across all tiers, ranked by business impact, updated in real time.
Disruption scenario planning
Static risk reports, or a reactive war room convened after the disruption has already begun.
On-demand 30/60/90-day cascade modeling. Supplier loss, chokepoint closure, sanctions shock — in production days lost and revenue at risk.
Compliance traceability
Manual filings, supplier self-attestation, legal review. Months of effort per submission.
N-tier origin tracing with Proof-of-Authority provenance. Audit-ready for UFLPA, CSRD, EUDR and Section 1260H, without supplier opt-in.
Data integration & unification
Six-month internal data lake initiative, a systems integrator engagement, an ongoing maintenance burden.
One unified graph across ERP, BOM, trade, logistics and risk. No migration, no central lake, no new infrastructure project.
Founder & CEO
Forbes 30 Under 30 (Energy). Georgetown MBA, RISD BFA. Principal Investigator on four NSF SBIR awards. Six years from concept to revenue to enterprise deployment.
CTO & AI Architect
Architected GRID’s data integration and decision platform. Led live enterprise deployments mapping tens of thousands of supplier relationships at OEM scale. Designed the confidence and provenance architecture.
Principal AI Engineer
ML systems architecture. Leads the probabilistic data integration pipeline, cross-source signal fusion, and the confidence scoring engine underpinning every output.
Advisors
Research
Georgetown McDonough. 66+ peer-reviewed publications. NSF-funded multi-tier dependency modeling. AI/ML supply chain research.
Geopolitical & quantum
MS Quantum Computing & Cybersecurity, Oxford. Pentagon and White House geopolitical strategist. Sparse data interpolation architecture.
A scoped pilot on one product line or one critical input. We surface your n-tier dependency, fuse it with live logistics and risk, and hand you the exposure picture your six teams cannot assemble — in weeks, not quarters.