01
Controls the observation
Return guidance helps recreate location, direction, device angle, and framing. Better inputs make every downstream method more valuable.
Environmental Change Intelligence
AI can spot a difference.
ECI builds the evidence.
ECI is a longitudinal observation system: it helps people return to the same viewpoint, creates a trustworthy visual record, learns the history of each place, and keeps human judgment connected to every finding.
The opportunity is bigger than image classification. Organizations need repeatable observations, defensible evidence, and insight that improves as history grows.
The ECI advantageGuide the observation—not just the modelUnderstand a place—not just an imagePreserve evidence—not just a predictionA compounding data asset built from consistent observations and expert review.
Not another change-detection app
Most systems begin after the photo is taken. ECI begins before.
The quality of environmental intelligence depends on the quality and continuity of observation. ECI brings capture, context, comparison, history, and human verification into one system.
02
Builds place-specific memory
Each observation point develops its own history. ECI can distinguish a new image from what is normal—or unusual—for that place.
03
Reasons through time
ECI looks beyond pairs to persistence, recovery, progression, and historical similarity. Change becomes a trajectory, not a binary alert.
04
Treats “unknown” as valuable
The system can surface change that does not fit an existing category, creating a disciplined pathway for discovery and review.
05
Keeps people in the evidence chain
Human conclusions augment the record without erasing what the system originally observed or how confident it was.
06
Creates a compounding asset
Every well-structured revisit increases the value of the history, the local baseline, the reviewed dataset, and future decision support.
From field observation to organizational intelligence
One evidence system across the entire workflow
CAPTURE
Make repeat photography repeatable
iPhone guides field teams back to observation points, supports comparable viewpoints, checks quality, records context, and works offline.
VERIFY
Close evidence gaps while still on site
iPad makes missing observations, quality warnings, image relationships, notes, and review priorities visible before the team leaves.
LEARN
Turn visits into institutional memory
Mac and the research environment connect sites, histories, findings, experiments, models, and reviewed intelligence for deeper investigation.
Interactive demonstrations
Experience the idea in your browser
Choose a demonstration. Your selected images stay in this browser and are not uploaded.
Demonstration 01
See what changed
Select a baseline and a later image. Move the comparison control to reveal each observation, then switch to the change view.
A sample landscape is ready. Choose your own images at any time.
Baseline
Later
Demonstration 02
Return to a repeatable viewpoint
Adjust the simulated field readings until every check is within range. The guidance responds just as a field operator would expect: move, orient, level, and refine.
↑
Move closer to the observation point
Demonstration 03
Follow a place through time
Move through four synthetic observations. Watch the bank edge shift and the visual change accumulate.
BaselinePersistenceStableTrend0%Visible change
This sequence is synthetic and illustrates the workflow; it is not a field measurement or diagnosis.
Baseline observationSpring · Year 1
A differentiated product architecture
Six advantages that reinforce one another
Capture intelligence
Guidance and quality controls reduce avoidable variation before analysis begins—an essential advantage for real-world longitudinal work.
Classical + learned evidence
ECI combines transparent image comparison with learned representations instead of betting the product on a single opaque model.
Point-local understanding
A shoreline, culvert, restoration site, or habitat plot can develop a baseline grounded in its own visual history.
Time-aware investigation
Persistence, recovery, progression, and similar past states give reviewers more context than a one-time alert.
Discovery beyond fixed labels
Unknown states and emerging visual groups can be routed to experts instead of forced into an incomplete taxonomy.
Evidence-grade provenance
Source observations, analytical versions, and review history stay connected—creating confidence, accountability, and reusable data.
The compounding advantage
Every deployment makes the system more valuable
Repeat visits create local histories. Human review creates trusted labels. Trusted labels improve evaluation. Better evaluation guides future models. The durable value is not only an algorithm—it is the observation network, workflow, and longitudinal evidence base growing around it.
Why fund ECI now
The technical foundation exists. The next value inflection is field evidence.
ECI already brings capture, field review, longitudinal analysis, historical retrieval, emerging-pattern exploration, human verification, and research inspection into a coherent platform.
Funding moves ECI from a working research foundation to a field-proven system with real observation networks, independently reviewed outcomes, and partner-defined use cases.
What investment unlocks
- Field pilotsBuild repeat-observation histories with conservation, infrastructure, restoration, and research partners.
- Independent validationMeasure performance across seasons, lighting, viewpoints, sites, and meaningful change.
- Operational productizationAdvance deployment, synchronization, permissions, reporting, and partner workflows.
- A defensible evidence networkGrow high-quality longitudinal data that is difficult to reproduce without the complete ECI workflow.
The ECI experience
Designed for field teams and research partners
Capture
Guide repeat observations in the field.
Review
Check coverage and evidence before leaving.
Investigate
Explore the complete visual record.
The opportunity
Become the system of record for how places change
ECI connects disciplined field observation, transparent analysis, and human expertise. It gives organizations more than alerts: a growing body of evidence they can inspect, learn from, and act on with confidence.
Water and shorelinesVegetation and habitatErosion and soil movementInfrastructure and drainageRestoration monitoringCommunity observation
The investment thesis is simple: better observations create better evidence; better evidence creates better intelligence; and longitudinal intelligence becomes more valuable with every return visit.