Now in production, BaseState brings real-time stormwater simulation, automated reporting, and autonomous drone inspections into one workflow. We’re onboarding our first customers by invitation.
Collecting field data is only the beginning. Teams still need to understand what it shows, connect it to the right site or asset, and decide what to do next. BaseState brings that work together around the systems they already use.
At the UAS Summit & Expo in Grand Forks on October 13–14, we demonstrated real-time stormwater simulation and, together with Rogue Cortex, autonomous drone inspections. Stormwater is the first simulation available in BaseState’s digital twin. Teams can also use orthomosaic, measurement, and site-survey tools. Autonomous inspections bring in new field data when needed, and AI helps teams make observations, analyze results, decide on next steps, and generate reports.
Paul and Hanyi demonstrating real-time stormwater simulation and autonomous inspections at the UAS Summit.
Use your existing capture systems, automate remote capture of sites and assets, or combine both. BaseState can support the full workflow or fill a specific gap, connecting the tools your team already uses to analysis and reporting.
BaseState links assets identified in imagery to the corresponding records in your asset-management system or in BaseState. This connects field evidence to the assets it describes. Matching can happen as data is captured or afterward when working with an existing system. The digital twin supports real-time stormwater analysis today, with more simulations planned.
Working with Rogue Cortex brings BaseState’s inspection planning and analysis together with autonomous capture in the field. Rogue Cortex’s SDK provides a common integration layer for supported drones, ground robots, fixed sensors, and embedded systems. Together, the platforms connect remote command and control, autonomous capture, and edge inference, with operator takeover and mission adjustments on supported systems. This gives teams a connected workflow from inspection planning to field capture and analysis, with the flexibility to use the hardware that fits the job.
A joint demonstration: BaseState’s Alder planned the inspection in Fargo, North Dakota, and Rogue Cortex executed the autonomous flight in Fremont, California, with no human intervention.
Teams can automate routine work and step in when closer analysis is needed. Ask AI to produce an output, or use the tools directly to examine a site, test a scenario, and refine an observation. The same capabilities support both approaches.
Analysis flows into reports built from templates. A person reviews and validates the content, then cryptographically signs the report before delivery. Customers can verify where it came from and confirm that it has not changed since signing. Human review remains part of the process, with a verifiable record of the report’s source and integrity.
AI works through the same application tools as human operators, using them to carry out analysis and produce results. It shows those results in the application so operators can inspect the work directly. Show, don’t tell.
We’re onboarding our first customers by invitation as we roll out and validate these capabilities. Our priority is a dependable workflow for the teams using it, with broader access to follow.
We’re also refining our use of open models, pursuing compliance certifications, and testing air-gapped deployments.
Our goal is practical: help teams turn field evidence into understanding and action, using the systems that fit their work. Learn more at https://basestate.io.