Turn imagery and sensor data into answers your teams can act on. Virstack builds AI and analytics solutions that detect change, recognize patterns and produce reports automatically, so your analysts focus on decisions rather than searching through data.
Our engineers own the architecture and review the code, and findings can be traced back to their source data and reviewed by your team before action is taken.
Geospatial AI applies machine learning and analytics to location-based data such as satellite and drone imagery, sensor readings and tracking feeds. Instead of reviewing every image or data point by hand, teams receive flagged changes, summaries and alerts that point them to what needs attention.
Results depend on the quality, resolution and frequency of the source data. We help you understand what each data source can reliably show, and design workflows where analysts confirm important findings before action is taken.
- Change Detection: Compare imagery over time to flag new construction, land clearing, flooding or other changes inside the areas you monitor.
- Object and Pattern Recognition: Identify features such as vessels, vehicles, structures or land cover, and highlight unusual patterns for review.
- Sensor and Time-Series Analytics: Analyze readings from ground sensors, weather stations and IoT devices to spot trends, threshold breaches and anomalies.
- Automated Reporting: Generate scheduled reports and summaries for analysts, managers and partner agencies, with maps and supporting evidence.
- Dashboards and Alerts: Bring results into dashboards and route alerts to the right teams through the systems they already use.
- Data Preparation and Pipelines: Ingest, clean and organize imagery and sensor data so models and reports run reliably as volumes grow.
- Engineers Own the Architecture: Our engineers design the architecture and review the code, so responsibility for quality and security is never left to AI. AI accelerates our work, guided by our own engineering standards built from decades of experience.
- Human Review Built In: We design workflows where analysts can confirm, correct or dismiss findings, and those decisions are recorded.
- Connected to Your Data and Systems: Analytics run on secure APIs, so results reach your existing applications, partners and field teams.
- Designed for Your Environment: Solutions can run on cloud, on-premise or air-gapped infrastructure, depending on your security requirements.
- Environmental Monitoring: Flag deforestation, illegal mining and land degradation in protected areas for follow-up.
- Flood and Disaster Assessment: Combine imagery, sensor and weather data to map affected areas and support response planning.
- Agriculture and Land Use: Track crop conditions and land use changes across regions over time.
- Maritime and Coastal Awareness: Highlight vessel activity and changes along coastlines, ports and protected waters.
- Infrastructure Monitoring: Detect encroachment, damage or unusual activity near pipelines, power lines and facilities.
- Discovery and Data Review: We review your questions, data sources, resolution, update frequency and security requirements to confirm what analysis is feasible.
- Proof of Concept: We test the approach on a focused area or use case, so you can measure results before a wider rollout.
- Model and Workflow Development: We build the models, rules, reports and review steps your teams need.
- Validation and Tuning: We measure results against known examples and tune thresholds with your analysts.
- Deployment and Support: We deploy, monitor performance over time and update models as conditions and data sources change.
Tell us what you need to detect, measure or report on. We will help you define a practical first step and the data it needs.
Satellite and drone imagery, ground sensors, weather data, vessel and vehicle tracking feeds, and existing agency systems, where access is available. We review formats, licensing and update frequency during discovery.
Accuracy depends on image resolution, cloud cover, how often an area is captured and how clearly a change shows in the data. We measure results against known examples, share the expected accuracy, and keep analysts involved in important decisions.
Yes. We design review steps so analysts can confirm, correct or dismiss findings, and those decisions can help improve future results.
Yes. Models and analytics can run on cloud, on-premise or air-gapped infrastructure, depending on your security requirements.
Satellite imagery is captured at intervals, so detection from imagery alone is best for changes over days or weeks. For faster alerts, we combine imagery with sensors, trackers or drone data.
Timing depends on data availability, the number of use cases and accuracy requirements. A focused proof of concept is a practical first step, and we provide an estimate after discovery.
Add data from the ground. Our custom trackers and sensors fill the gaps between satellite passes and feed readings straight into your analytics.