
BaseState
BaseState is an AI-powered field data analysis platform that turns drone surveys, LiDAR, photos, and site records into client-ready reports. The platform automates analysis and drafting so operations teams can review, approve, and deliver findings without desk-bound processing. It supports stormwater simulation and integrates with existing enterprise tools.
- Enterprise Software
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Operations leaders in asset-intensive industries receive inspection evidence from multiple disconnected sources—photos, asset records, sensor alerts, and field observations—making it difficult to assess risk and decide what to fix first. This fragmentation leads to delayed decisions, lost context, and field actions that are not properly tied to the evidence or approvals behind them.
Solution
BaseState connects asset records, field evidence, and decision history into one operating view, allowing teams to see what requires attention and act with confidence. The platform brings inspection context together—showing prior decisions, alerts, and operating policy alongside current conditions—so prioritization is grounded in evidence. It embeds approval gates directly into the workflow, keeping consequential actions visible and controlled. AI assists by preparing routine work packages, while human review remains in the loop for higher-risk decisions. The system maintains clear audit trails, attributed changes, and evidence continuity across every workflow.
Target Audience
Operations leaders, field operations teams, and enterprise asset managers in asset-intensive industries who need to prioritize inspection-driven work and maintain auditability over consequential field actions.
Features
- Unified operating view combining asset records, field photos, sensor alerts, and prior decision history
- Evidence-to-action workflow that keeps condition data, operating policy, and approval status together
- Approval-gated workflow for consequential field actions, with AI preparation for routine tasks
- Automated analysis of drone surveys, LiDAR, and site records with stormwater simulation capabilities
- Client report drafting with configurable formats, units, and compliance checks
- Audit trail with attributed changes to track what changed and who acted
- Designed to integrate with existing enterprise systems without requiring replacement of current infrastructure