A vast hurricane cloud system spiralling around its eye, seen from space

The frontier of hydroclimatic intelligence

The next frontier
is on the ground.

A storm interrupts the journey home. From shelter, someone uses her phone to record what happened outside. Her perspective matters. Landfall Intelligence is being built for people like her, and for the teams who need to understand the event.

Mobile capture. Geospatial AI. A new approach to parametric validation.

Storm-scale perspective. Ground-level detail.Hurricane Igor, 2010 · NASA

Intelligence for people, places and assets.

Coastal stormsStorm surgeFlooding

For the people living through it.

Your everyday view.
Extraordinary value.

A commuter. A neighbour. Someone who knows the road home. Landfall is for you, too. Your local knowledge matters, whether you own an asset or simply happen to be there.

Illustration of an ordinary commuter using her phone from inside a dry building to record storm conditions outside
01 / Your experienceYou are part of the picture.

Being developed for people on the ground

A record of what you experienced.

Your journey home is interrupted by a storm. Once you are somewhere safe, a photo can preserve what you saw. The proposed Landfall experience keeps your observation with its time, place and source, giving you a record to refer back to.

  • Document what happened around you
  • Keep your photo, note and capture context together
  • Contribute when safe, without needing to own an asset

Follow official warnings. Never enter danger to collect evidence.

Illustrated scenario, not a real customer or submitted observation. Personal records and local context are planned capabilities for pilot evaluation.

The technology we are building

Human observations.
Machine-scale intelligence.

People and their observations are the starting point. We're developing capture provenance, computer vision and geospatial context to turn scattered observations into evidence that can be compared, questioned and used.

01 / PROVENANCE

Keep the source attached.

Record the contributor, capture time, location, source file and review history. Keep declared asset ownership visible alongside the observation.

02 / GEOSPATIAL CONTEXT

Connect the event in space and time.

Bring permitted camera feeds, water levels, weather and third-party reports into geographic and time context. Each source keeps its own origin and limitations.

03 / AI + CONFIDENCE

Confidence you can check.

We’re developing computer vision to identify visible conditions, with a confidence score for each specific observation. Pilots will test whether those scores match independently checked outcomes. Human review and evidence gaps stay in the record.

Ground observations complement remote sensing.

Cloud cover can obscure optical imagery. Radar can see through clouds; ground observations can add local detail. Availability and capture conditions differ by source.

In development. Capture verification, source integrations and confidence calibration will be evaluated in pilots.

Phone images + field notesPermitted CCTVWater-level observationsWeather dataThird-party reports

A new approach to parametric evidence

Parametrics,
from the ground up.

Connect the event measured from above with the impact observed below.

Parametric insurance uses pre-agreed event thresholds. We're developing a ground-evidence layer to help teams compare those measurements with local conditions, test models and evaluate future parametric products.

Explore a parametric pilot

Research and pilot development. Landfall does not currently provide insurance or live payout triggers.

Event measurementWind. Rain. Water level.

What the event data records.

Ground observationPhoto. Location. Capture time.

What was visible at a particular place.

Explore together

A fuller picture for parametric validation.

Compare models with observations and investigate where measured conditions and local impacts differ.

Our product offerings

One intelligence layer.
Three ways to use it.

Explore the event, work with the data, or connect evidence to the tools you already use.

In development. Explore a sample today and discuss access for an evaluation.

01 / WORKSPACE

Landfall Platform

Understand the places that matter to you.

A planned view of local observations for individuals and teams, with source history and review status.

  • Keep a record of your own observations
  • Explore nearby evidence by location and time
  • See confidence status and what remains unknown

For local people, response partners and asset teams

Explore the sample
02 / DATA

Landfall Data

Bring ground observations into your analysis.

Structured asset datasets designed to retain capture time, source attribution, confidence status and evidence limitations.

  • Join observations to your asset records
  • Compare observations with event models
  • Bring evidence into existing reporting tools

For modelers, risk and reporting teams

Download a sample dataset
03 / INTEGRATION

Landfall Connect

Bring intelligence into the systems you use.

Planned API and AI assistant access for using Landfall records inside your organisation's tools.

  • Connect observations to parametric research
  • Carry confidence and limitations into your workflows
  • Make records accessible to internal applications

For technology and product teams

Discuss an integration

Inside Landfall Platform

An evidence record
your team can trace.

Follow the evidence from the observation to its source. Each proposed record keeps the asset, contributor, capture time, review history and remaining unknowns together. Confidence belongs to a specific observation, with its basis visible.

Interactive product preview

These three records are fictional. Select one to see the proposed report.

Illustrative asset record

Building LF-014

Review logged · sample
Captured / receivedT+02:14 / T+03:06 · sample
Location basisDevice location + asset reference · sample
Source record6 exterior photos + field note
ContributorOBS-014 · pseudonymous observer
Asset relationshipNo ownership declared · self-attested
Capture checksNot performed in this fictional sample

Observed condition

Visible loss of roof covering

Missing roof sheets are described on the south-facing elevation. The field note describes exposed roof framing.

Evidence confidence / in development

How sure are we about this observation?

Not scored
Claim to assess
Roof covering is missing in the visible area.
Basis for the score
No source images or independent checks are supplied, so this sample cannot support a confidence score.

Calibration status: awaiting pilot validation.

What would 80% confidence mean?

Across 100 comparable observations given an 80% score, we would expect about 80 to be correct when independently checked. That is what calibration tests.

A score would apply to the stated claim. It would not establish severity, safety, repair cost or entitlement to a payout.

Conceptual example only. Landfall has not yet demonstrated calibrated scores.

What we cannot confirm

Interior condition, structural integrity and repair cost are not established by this exterior observation.

Provenance history

Received T+03:06; review logged T+03:22. Source images are not supplied in this demonstration.

All identities, times, observations and review events are fictional. Confidence scores are intentionally left blank. T+ is elapsed time from a hypothetical landfall. No source images or authenticity checks are supplied.

Observations describe what is visible. People and organisations decide how to use them.

Download sample CSV

Who Landfall is for

Local people.
Response teams.
Asset networks.

Individuals are customers too. We are designing Landfall to be useful to the people who experience an event and the organisations trying to understand it.

What happened around me?

Your experience belongs in the picture.

A local resident, a commuter or someone passing through: you do not need to own an asset to use Landfall. We are developing personal observation records and a view of nearby evidence, with sources, timing and uncertainty attached.

  • Keep your own account of what you experienced
  • Understand what has been observed nearby
  • Help shape a product built for people like you
Explore pilot participation

The company

Building at the frontier
of hydroclimatic technology.

Landfall Intelligence brings mobile capture, AI and geospatial data into one product vision: understand the impact of coastal storms from the ground up. We are building for local people as well as response partners, asset operators and teams developing parametric products.

The focus is people, places and assets: the road home, a coastline, a vessel, a building or an infrastructure network. Coverage and review methods will be tested within each pilot.

Pilot hub / pre-launch

A place for you
in Landfall.

For individuals and organisations. Tell us what would make Landfall useful to you. Pilot participation is still being defined.

For local people

Your experience matters.

Help shape a way to record what happened around you and understand local observations. You can explore the idea without committing to contribute images.

Discuss taking part
For response partners

Organisations on the ground.

Government, first responders and relief organisations can help define safe participation and useful evidence formats.

Discuss a response partnership ↗
For organisations

Teams using the evidence.

Asset operators, modelers, insurers and other organisations can define a pilot scope and test the value of traceable observations.

Discuss a client pilot ↗

What we want pilots to establish

Confidence has to earn its number.

We plan to test whether the scores match reality, and report where they hold up or fall short.

  1. Define the claim.Agree what can be checked, such as visible standing water at a stated place and time.
  2. Check it independently.Compare observations with suitable field checks or corroborating evidence. Keep unresolved cases visible.
  3. Test on unseen events.Evaluate on events kept out of model development, across locations and capture conditions. Report sample sizes and limits.

Proposed contributor requirements

Safety comes before evidence.

Follow official warnings and emergency instructions. Never travel into danger, enter restricted areas or approach floodwater or damaged infrastructure to collect evidence. Participation is voluntary.

  • Eligibility: observers must be 18+, pass a safety questionnaire and accept the applicable contributor terms before submitting.
  • Declarations: contributors must attest accuracy, declare full or partial asset ownership and confirm permission to submit the material.
  • Ownership: owner-submitted material would be labelled and assigned lower reward value under the proposed pilot rules; ownership alone does not establish that an observation is false.
  • Privacy: images containing identifiable faces would not count as accepted evidence or qualify for payment.
  • Rewards: eligibility, amounts and review rules must be agreed before a pilot. No payment programme is live on this site.

These are proposed pilot requirements, not an active submission agreement. Operational checks and country-specific terms must be in place before contributor onboarding.

A few useful answers

Before we talk.

Can I use Landfall if I do not own an asset?

Yes — the product is being designed for local people as customers, including residents, commuters and people passing through. Personal records and nearby observation views are planned for evaluation. You do not need to own a photographed asset to have useful local knowledge. Any future contribution must still meet safety, privacy and permission requirements.

What is available today?

A working workflow MVP, this fictional evidence preview and a sample dataset. Personal records, nearby observation views, capture verification, AI, calibrated confidence scores, live source feeds and the three product offerings remain in development. No customer results are claimed.

Does Landfall recommend actions or determine payouts?

No. The proposed product describes observations, sources and limitations. Clients make their own operational, lending, coverage and settlement decisions. Parametric insurers could explore post-event validation; Landfall does not currently supply payout triggers.

Does provenance prove an image is true?

No single check establishes every fact in a scene. Capture provenance can help establish origin and file history. Accuracy, context and asset ownership still require review. A Truepic integration has not been implemented or confirmed.

What does a confidence score tell me?

It would estimate how likely a specific observation is to be correct, such as standing water being visible. Provenance describes where the evidence came from; confidence concerns the interpretation of that evidence. Neither establishes that an asset is safe. We plan to validate calibration in pilots before presenting scores as calibrated. The fictional records on this site are not scored.

Are CCTV, sensor and weather feeds connected?

Not yet. These are proposed sources. Availability, licensing, permissions and geographic coverage must be established for each pilot.

Is this an emergency service?

No. Follow official warnings and contact the relevant emergency services for urgent help. Landfall does not dispatch observers or responders.

Help shape what comes next

Be part of
the first pilots.

For people who know a place. For teams who need to understand it. Tell us how you would like to take part in Landfall Intelligence.

  1. Register your interestA few details are enough. No asset ownership required.
  2. Find the right fitWe’ll review your interest as we define the first pilots.
  3. Shape Landfall with usIf there’s a suitable opportunity, we’ll contact you to discuss it.

Registering interest does not commit you to take part or guarantee a pilot place. No photos, payment or field activity are required.

Pilot interest

Start here.

For local people, response partners and organisations.

Fields marked * are required.

Please leave out exact addresses, emergency reports and sensitive personal information.
How we use your details

Landfall uses your details to review your interest and contact you about relevant pilots. They are stored in the site’s database and are not displayed publicly. This form does not subscribe you to a marketing newsletter.

Hurricane archive: Hurricane Igor, Atlantic Ocean, 14 September 2010 — MODIS Rapid Response Team / NASA GSFC. The commuter scene is an AI-generated concept illustration. Neither image is Landfall field evidence; agency credit does not imply endorsement.