Humance
Humance provides AI agents that make the first pass through construction documents—drawings, specifications, submittals, RFIs, change orders, and project emails—flagging potential conflicts and preparing next actions for human review. Every finding is source-grounded, tied to the underlying project information so teams can verify reasoning before making final decisions. The platform integrates with existing document systems and workflows rather than requiring a separate way of working.
- Construction Technology
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Construction projects generate massive volumes of paperwork—submittals, RFIs, change orders, drawings, and emails—that must be reviewed manually. This slows decision-making, allows conflicts and risks to slip through, and leads to delays, mistakes, and budget overruns.
Solution
Humance provides an AI agent that makes the first pass through construction documents, cutting through noise and flagging potential conflicts before human review. The platform is trained specifically on construction document types—drawings, specifications, submittals, RFIs, change orders, and project emails—and understands how information connects across a project. Every finding is tied to the source project information, enabling teams to verify reasoning and apply their own judgment. The system prepares the next action for each item, so reviewers can move faster and decide with confidence while maintaining full control over final decisions. The workflow is built around the documents, approvals, and tools teams already use, requiring no separate way of working.
Target Audience
Primary customers are construction project teams—including general contractors, subcontractors, and owners—who need to accelerate document review and reduce risk of delays and budget surprises.
Features
- Construction-trained AI models that understand drawings, specifications, submittals, RFIs, change orders, and project emails
- Source-grounded findings with citations to underlying project documents for verification
- Human-in-the-loop workflow where AI prepares the first pass and teams make final calls
- Integration with existing document systems, email threads, and project tools rather than requiring a separate workflow
- Conflict and risk detection across interconnected project information
- Workflow-ready design built around the documents, approvals, and tools teams already use
- Deployment process covering discovery, connection, engineering, deployment, and continuous evolution through team feedback