Connected Platform
AI trained on the way construction actually buys.
A general document reader sees text. RavenTrack's engine is built around construction products, vendors, cost structures and project patterns, and it always shows its confidence.
Available today
The problem
What gets in the way today.
Generic tools miss context
Standard OCR cannot tell a framing purchase from a plumbing purchase.
Black-box output
Automation without explanation is not trusted by finance teams.
Every company is different
Cost structures and naming conventions vary business to business.
Capabilities
What RavenTrack does here.
Document understanding
Computer vision and language models reading real, imperfect construction paperwork.
Construction classification
Products, trades, phases and cost structures as first-class concepts.
Confidence and explanation
Every decision carries a score and the signals behind it.
Company-specific learning
Corrections tune the model to one company's conventions.
Confidence and approval rules
- Confidence ≥ 95% and under $1,000Posts automatically
- Confidence below 95%Routed to review
- Any item over $1,000Requires approval
- New vendor or new productRequires approval
Confidence measures certainty. Business rules manage risk. Thresholds are configurable.
Outcomes
What changes as a result.
- Higher automation rates on everyday documents.
- Explainable decisions finance teams can audit.
- Accuracy that improves with use.
Talk to us about connected platform.
Book a demo of the product as it works today, or start a conversation about what is being built next.