Others sell
access.We build
assets.
Vendors can reprice, retrain, or retire the model you depend on overnight. We build AI 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
Focused on
commercial impact
Quoting // promos // procurement // 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.
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.
Four stages. One asset.
Each stage is priced on its own and earns the next. Start with an hour; stop whenever the numbers say so.
- 01ScopingStart hereFree1–2 hrs
A working session with an engineer, not a rep.
- 02Diagnostic$3–6k2–3 days · at cost
We travel on-site to scope a problem, build an Ontology, and ship an AI solution in days.
- 03DeploymentScoped1–3 months · use-case dependent
Bring a high-value use case to production — from building to user-acceptance.
- 04ExpansionCompoundsongoing · cheaper each build
Compound the Ontology from the last deployment, ensuring each build is faster than the last.
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.
with an engineer