Use public data without building the entire acquisition stack.
DeepWave serves teams that need structured records, maps, timelines, evidence tables, and delivery formats for antimicrobial resistance (AMR), extreme weather, contrail research, and AI-ready domain data.
The same platform pattern supports every domain.
DeepWave converts public source complexity into structured records that can be inspected, mapped, exported, and delivered.
Antimicrobial Resistance (AMR) Evidence Intelligence
Compare antimicrobial-resistance observations across pathogen, antimicrobial, year, geography, source stream, evidence type, measured value, gene/marker, support level, and quality.
- Measured counts and percentages only where the source supports them
- Genotype, literature, and surveillance context as enrichment layers
- Record-level limitations and source lineage
- CSV and JSON exports for analysis and retrieval
Extreme Weather Intelligence
Track storm, weather, water, recovery, and local request signals by time and place so operational teams can see where public activity is measurable.
- Real maps with record markers, source details, and popups
- Weather and recovery timelines
- Source stack visibility for every record family
- Downloadable CSV/PDF packs after purchase
Contrail Research Data
Combine flight paths, weather layers, atmospheric indicators, observation evidence, corridors, and time windows into research-ready packages.
- Flight corridor and weather-window structure
- Geography and timeline-first schema
- Source confidence and retrieval notes
- Custom packages for research and AI workflows
AI-Ready Domain Data
Use datasets built for retrieval, evaluation, analytics, and model workflows without stripping away source proof or uncertainty.
- Manifested CSV and JSON packages
- Crosswalks and normalized vocabulary
- Source lineage and quality scoring
- Limitations available to downstream systems
When the source problem is custom, DeepWave can run the acquisition workflow.
Managed scopes cover source discovery, feasibility review, extraction, normalization, enrichment, QA, delivery format, refresh cadence, and documentation.