Verification products that turn flood model outputs into defensible, operational decisions, delivered under SLA.
Our Solutions
Flood Verification Desk
Flood alerts, AOIs, or candidate events are securely submitted into TerraVerdict’s verification queue.
What it solves
When flood alerts flow into insurance workflows, error tolerance collapses. This desk provides the verification layer that prevents false positives, supports trigger decisions, and scales during high-volume periods.
What you send
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AOIs (polygons) and time windows
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Model alerts and/or candidate events
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Flood extent outputs (raster or vector)
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Optional confidence layers / supporting context
What you get
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Verified Flood Event Cards (Confirmed / Rejected / Uncertain + confidence + rationale)
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Evidence Packs (on request or standard, based on program)
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QA & SLA reporting (turnaround, agreement, escalation rate)
How it runs
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Always-on queue with priority tiers
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Rubric-based review to ensure consistency
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Escalation path for ambiguity and dispute-risk events
Typical SLA
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Standard: 24–48 hours
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Priority: faster queues available during live events
Catastrophe Surge Desk
What it’s for
During catastrophe weeks, volumes spike and internal verification breaks. The Surge Desk provides rapid throughput without degrading decision quality.
Common use cases
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Event response verification at scale
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Parametric trigger validation during live events
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Customer escalations and insurer “proof requests”
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Daily rollups for incident rooms / ops teams
What you get
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High-throughput verification queues
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Event roll-up summaries (daily or per event window)
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Priority adjudication for “must-defend” cases
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Post-event QA report (what failed, what was ambiguous, what drove escalations)
Rapid, high-throughput verification capacity during major flood events, designed for peak volumes and time-critical decisions.
Model Feedback Pack (add-on)
Verified outputs are returned in structured formats designed for operational use.
Why it exists
Verification produces signal. The Model Feedback Pack turns that signal into structured insight, without requiring you to retrain or change your pipeline immediately.
What you get
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Failure taxonomy (what kinds of false positives / misses occur)
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Edge-case library (examples of ambiguity and why)
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Regression notes (what changed over time, where drift appears)
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Optional: “high-impact fixes” list (the operational tweaks that reduce escalations fastest)
Start with a pilot
Most teams begin with a short pilot to evaluate verification quality, turnaround, and integration fit.
Pilot engagements are scoped, time-bound, and designed to run alongside existing workflows.
Use the form below to request a pilot.