Manufacturing & Logistics.
Forecasts report their own confidence and drift, so planners know when to trust a number and when to check it.
−6.4 pts
Forecast error (MAPE)
38
Sites with their own model
11 wks
Kickoff to production
02 · Where this fits
Key use cases
What teams in
Manufacturing & Logistics
build with us
Per-site demand models with drift thresholds, retrained when the numbers call for it, not on a calendar.
POs, ASNs and invoices read, matched and reconciled, with exceptions sent to the right buyer.
Safety-stock levels recommended per SKU per site, with the confidence behind each number.
Maintenance and quality exceptions triaged and routed with the context an engineer needs.
03 · Governance
Built for review
Forecasts report their own confidence and drift, so planners know when to trust a number and when to check it.
ISO 27001-aligned controls
OT/IT network separation
Supplier data agreements
Change control
−6.4 pts
Forecast error (MAPE)
38
Sites with their own model
11 wks
Kickoff to production
05 · The services behind it
8–14 weeks
02
·
Agents
From
$65k
Agent & Workflow Automation
Production-grade AI agents that execute multi-step operational workflows, with human review where it matters.
See how it works
6–12 weeks
03
·
Knowledge
From
$65k
Knowledge & RAG Systems
Retrieval-augmented assistants that answer from your own documents, policies and systems of record, with citations.
See how it works
10–16 weeks
04
·
Documents
From
$65k
Document AI
Extraction, classification and routing pipelines that turn unstructured documents into structured, trustworthy data.
See how it works
06 · Questions
Asked by teams in this industry
Anything else, a 30-minute call covers it.
Q
Do you connect to OT systems?
Q
How often are models retrained?
Q
Can planners override a forecast?
Ready to see what this
looks like for your team?
A 30-minute call, scoped to the actual constraints of your industry, not a generic AI pitch.