Upload bathymetry, salinity, temperature — or drop a Lowrance / Humminbird / XTF file and we’ll pull the environment for you. Score against 67+ species, stack regulatory overlays, project to 2100 under CMIP6, and export a QGIS-native permit package. Every tolerance envelope traces to a citation.
The engine, the overlays, the value-add analyses, and the deliverables that regulators expect - in one workflow.
Oysters, cold-water and warm-water corals, sandeels, maerl, geoduck, freshwater mussels - plus 4 invasive bivalves for risk forecasting.
Permitting baselines, aquaculture-specific layers, CMIP6 climate projections, near-real-time ocean feeds (buoys, OISST, HAB alerts), and economic / ecosystem-service valuation.
Score against RCP 4.5/8.5 and SSP 2-4.5/5-8.5 at 2030, 2050, 2080, and 2100 horizons. Compare scenarios side by side.
Stack any overlays - MPAs, navigation channels, military closures, cable corridors - and get hard/soft/advisory conflict tagging per cell.
Drop in a Lowrance .sl2/.sl3, Humminbird .dat, or Triton .xtf side-scan recording. Get a 5-class substrate map (mud / sand / gravel / cobble / bedrock) aligned to the Folk-5 scheme regulators already recognise. Pure-R readers, no Python bindings, no GPL contamination.
NEPA / EIA / SEA boilerplate auto-generated. Methodology citations, conflict summary, economic valuation, mitigation recommendations - one click.
Quantify uncertainty in your scoring. Per-cell p5/p50/p95 quantiles, one-at-a-time sensitivity index per input.
Upload a CSV of your ground-truthed presence / absence records and the model refits its Bayesian tolerance envelopes to match. Optional bootstrap power analysis reports the 95% CI on every fitted parameter and tells you how many more surveys you'd need to halve the uncertainty.
Weighted composite scoring across aquaculture / fisheries / conservation / tourism preferences. Map Pareto trade-offs.
Hash-chained JSONL log of every run, overlay loaded, and report exported. Designed for regulator submission and FOIA-ready archival.
One pipeline. Browser, desktop, or QGIS plugin - same engine.
CSV with lat/lon and environment vars — or drop a raw sonar file. .sl2, .sl3, .xtf, .dat all decode natively; .all, .kmall, .s7k via Python backends.
Choose from 67+ species. Toggle regulatory packs, climate scenarios, and value-add analyses for your tier.
Upload a CSV of your own ground-truthed presence / absence records. The Bayesian posterior refits to match your site, not just the peer-reviewed default.
AHP-weighted scoring with documented per-species tolerances and peer-reviewed methodology. Every run audit-logged.
Interactive heatmap in-browser, GeoTIFF for QGIS, PDF compliance report, scored CSV, .qgz project file.
Buy credits when you're just trying it out. Move up to a subscription when it becomes part of how you work. No free tier — the R packages on CRAN are our free science-community entry.
Prices in USD. Focus and Pro have 17% annual pre-pay discounts.
oystermapR and maerlmapR are Apache-2.0 on CRAN — free forever.
The other species packs and every SaaS feature above are behind the tiers.
Academic / government / NGO discounts on request ·
ask.
Every coefficient cites its source. Every model is reproducible. Every deliverable carries the methodology block regulators expect.
Canonical citations underpinning the scoring + valuation pipeline, surfaced in every report.
Ground-truth substrate records (BOEM Marine Cadastre + EMODnet Seabed Habitats + UK MEDIN) feeding the substrate classifier.
Species tolerance profiles, each sourced from peer-reviewed papers cited inline in every deliverable.
EU data residency option, customer-owned survey files, no third-party tracking.