Others sell access.
We build assets
Vendors can reprice, retrain, or retire the model you depend on overnight.
We take the other side of it: AI built on your data, in your cloud, that you own.
Auditable AI starts with the Ontology.
The Ontology is a semantic layer that unifies fragmented data sources and creates an auditable substrate for AI. It syncs with the systems you already use — no migrations required — and gets shipped in the first week.
Midwest Foods Co. · CHI–DAL · 53′ box
Send Midwest Foods this quote at $2,480 a container.
It undercuts the $2,610 truckload spot rate by 5%, stays $170 above your contract floor, and lines up with the $2,415 this account has averaged over 214 prior moves on the lane.
What this is based on
Point at a line to trace it back to the record
Our focus: commercial operations
quoting, promos, AR, claims, RCM
Eridian tackles problems where outcomes land on the P&L. Each use case is tied to revenue lift, margin expansion, or cash conversion.
Margin-aware quotes in minutes, not days.
PricingThe rate book, tuned weekly instead of yearly.
Revenue cycle managementEvery claim checked, denials worked in time.
Insurance supplementsEvery scope gap found, documented, and paid.
Deductions validated, promotions reconciled.
Production schedulingThe backlog ranked by margin, not by escalation.
Cash applied, disputes worked, DSO down.
CollectionsThe right accounts worked first, with the full story.
All eight, in detail →Frontier AI, deployed to your quoting desk.Built on-site next to you in Detroit, MI.
Lock-in is a choice — we’d rather win the next project.
You own the system, and the data never moves
Built on the database you already run, in your cloud, in your region — no second copy inside a vendor’s platform. Lease-to-own means the code and the models end up yours.
Built around the workflow your team already runs
Software is the cheap part; retraining your people onto someone else’s workflow is the expensive one. We build around how your team works today, so day one feels familiar.
Your provider’s roadmap is not your roadmap
Frontier or open-weight, chosen per task, swapped without touching the Ontology. A provider repricing or changing how its model behaves is a config change, not an outage.
AI where it earns its place
Price elasticity and optimal schedules shouldn’t change on a reload. Human-crafted toolcalls run verified logic every time so AI reasons over facts and doesn’t invent numbers.
A working session with an engineer, not a rep.
We embed on your floor, stand up the Ontology from your data, and leave AI running on it.
First use-case in production — your cloud, your credentials.
Each build starts from the model the last one paid for.
Find the ROI
AI stopped being a demo. Nobody sent a memo.
Not sure where to start? Book a half-hour with an engineer who ships frontier AI weekly. You’ll leave knowing what’s possible and what’s still a demo.