See the whole event
Video, images, documents, sensor traces and human statements are aligned against a shared timeline.
THE PHYSICAL WORLD IS NOT A STILL IMAGE.
Duranta builds vision-first multimodal intelligence for 4D reasoning — understanding objects, motion and sequence as one continuous event.
Most AI systems flatten the world into isolated images, text fields and labels. But a claim is an event. Understanding it means preserving the relationship between what was seen, where it happened, when it changed and what followed.
Video, images, documents, sensor traces and human statements are aligned against a shared timeline.
Signals become spatial and temporal relationships, not disconnected labels passed between separate tools.
Each sample interpretation stays connected to the underlying observation, so a human can inspect the chain of reasoning.
Move through an illustrative collision sequence. The scene, evidence state and event interpretation advance together instead of forcing an adjuster to reconcile disconnected tabs.
Both objects are tracked against the same scene geometry and event clock.
Open each beta product to inspect its synthetic scenario, local-file path and review boundaries. The product demos also use publicly available records where sourced.
Vehicle collision reconstruction from event data and telemetry.
Open beta product ↗Property damage sequence from sensor and inspection evidence.
Open beta product ↗Venue incident reconstruction across camera and operations logs.
Open beta product ↗Site incident records prepared for human claim review.
Open beta product ↗Explore synthetic scenarios and sourced, publicly available records, or load a local file. The records do not supply the invented replay sequences; these are browser demonstrations, not live claim assessments. Files stay in this browser.
Vehicle collision reconstruction from event data and telemetry.
Open demo ↘Property damage sequence from sensor and inspection evidence.
Open demo ↘Venue incident reconstruction across camera and operations logs.
Open demo ↘Site incident records prepared for human claim review.
Open demo ↘Synthetic catastrophe track and portfolio exposure.
Open demo ↘Synthetic multi-vehicle incident cascade.
Open demo ↘Explore an example collision sequence from generated event data. The public-record scenario cites crash-level fields, not measured telemetry or video.
The event record will appear here.
Duranta shows what the evidence says and does not decide fault, liability, or coverage — people do.
Explore a generated damage sequence. The public-record scenario cites claim-level fields, not measured sensor or inspection events.
The event record will appear here.
Duranta shows what the evidence says and does not decide fault, liability, or coverage — people do.
Explore a generated venue sequence. The public-record scenario cites crash-level fields, not footage or venue logs.
The event record will appear here.
Duranta shows what the evidence says and does not decide fault, liability, or coverage — people do.
Review synthetic sample incidents across sites. Each generated incident appears as a sample event record with event metadata only.
The sample incident record will appear here.
Duranta shows what the evidence says and does not decide fault, liability, or coverage — people do.NO VIDEO LEAVES THE SITE.
Catastrophe event track and portfolio exposure.
Generated scenario. Does not interpret uploaded video into claim facts or make fault, liability, or coverage decisions.
The event track will appear here.
Synthetic track and exposure only. Illustrative sample; no claim decisioning.
Commercial fleet incident cascade across vehicles.
Generated scenario. Does not interpret uploaded video into claim facts or make fault, liability, or coverage decisions.
The fleet cascade will appear here.
Synthetic fleet telemetry only. Illustrative sample; no fault, liability, or coverage decisions.
The product direction is to connect raw multimodal evidence into a navigable event model, giving operators a precise place to investigate, challenge and act.
Bring together visual, textual and sensor evidence without losing source or sequence.
Map observations into a shared spatial-temporal representation of the event.
Evaluate relationships, contradictions and candidate explanations across the full sequence.
Present candidate interpretations with the evidence trace a reviewer needs to understand and challenge them.
These synthetic scenarios illustrate how each reconstruction keeps observations, timing and uncertainty connected for human review.
Two vehicles converged through a signalized intersection during light rain. Braking began 1.1 seconds before observed contact.
Dashcam event frames, vehicle speed and brake telemetry, GPS movement, weather and road-surface observations.
A second-by-second sequence connecting approach, braking, contact and rest positions, with each statement linked to its source.
A supply-line pressure drop preceded moisture alarms in two rooms and visible ceiling damage on the floor below.
Water sensors, temperature readings, site photos, maintenance video and a contractor inspection document.
A minute-by-minute reconstruction of first signal, spread, isolation and inspection, with observed and inferred states separated.
A guest fell near the entrance shortly after a floor service task and before an incident report was opened.
On-site camera events, door access logs, till timestamps, staffing records and the signed incident report.
A synchronized venue timeline showing the floor condition, staff movements, guest entry and documented response for review.
FOR CLAIM REVIEW
Reconstruct what happened, expose uncertainty and keep a human in control of the outcome.
ONE EVENT, MANY SOURCES.
The browser replay frames beyond these public-record fields are generated examples. They are not observations from the cited agencies and do not decide fault, liability, coverage or cause.