Ingest Chaos. Establish Truth. Simulate the Future.
Invariq turns messy supply chain data into an actuarial System of Record. We automate the cleaning, map it to a canonical standard, and give you the power to run causal simulations on your business performance.
Currently in Alpha. Waitlist open for Q1 2026.
You can't simulate business on top of untrusted data.
In most 3PL/logistics companies, the limiting factor isn't analytics; it's the integrity of the underlying record.
Data Chaos
WMS, TMS, ERP exports don't reconcile. Your "truth" gets rebuilt in spreadsheets—every week.
The Trust Gap
Dashboards say "green," but Finance pays chargebacks. Decisions become debates.
Causal Blindness
When OTIF drops, you can't isolate the failure path—so you expedite, add buffers, and repeat.
The Vertical AI Stack.
Built Solely for Logistics.
Generic data pipelines treat your shipments like strings and integers. They break because they don't understand that a 'delay' in Shenzhen affects a 'stockout' in Chicago.
We replaced the fragmented modern data stack (Connectors → ETL → Semantic Layer → BI) with a single, unified engine that understands logistics.
Our proprietary Logistics Ontology comes pre-trained on 5,000+ carrier formats and operational nuances. We don't just move data; we translate it.
We don't ask you to map schemas manually. Our Semantic Agents autonomously classify, clean, and map your raw feeds to our Canonical Data Model—flagging only the edge cases for human review.
Because we own the pipeline from the raw WMS/TMS connector to the final BI dashboard, every insight is fully auditable back to the source file.
The Network Diagnostic (Alpha)
A 4–6 week forensic audit that turns messy 3PL data into defensible KPIs, explains why performance moved, and delivers a prioritized action plan.
We're selecting 5 alpha partners. We ingest and standardize your WMS/TMS/ERP exports, map them to a canonical logistics model, and publish an Executive Truth Pack (OTIF, OTD, dwell, cost-to-serve, accessorial leakage).
Then we run causal driver analysis to pinpoint what is actually driving service failures and margin leaks—by lane, carrier, facility, customer, and SKU.
You receive the Target Book: a ranked list of interventions with impact ranges, confidence, and simulation-ready scenarios.
Outcome: One number you can defend, the drivers you can act on, and a roadmap your team can execute.