Kore | Prospective impact: what success would look like

Outcomes · All prospective

Four outcomes, each one measurable.

Nothing below is a result. Each card names the outcome, how it would be measured, and the evaluation that would have to confirm it before any claim is made.

Prospective

Household safety documentation

Outcome

Time-stamped event records give households a documented account of what happened in the room.

Measurable

Event records with timestamps, complete over pilot periods.

Evaluation

Comparison against incident reports in pilot homes. Would need to be demonstrated.

Prospective

Resource efficiency

Outcome

Fewer wasted resources, starting with water leaks caught early.

Measurable

Detected waste events, such as water leaks, and the volume avoided.

Evaluation

Utility-bill delta in pilot homes vs baseline periods. Would need to be demonstrated.

Prospective

Environmental monitoring

Outcome

Indoor air quality trends that people can act on.

Measurable

Air quality trend data across pilot homes.

Evaluation

Sensor data vs reference instruments. Would need to be demonstrated.

Prospective

Waste reduction via KoreBin

Outcome

More recoverable material diverted from trash, with a documented trail.

Measurable

Diverted material mass over pilot periods.

Evaluation

Weighed collection logs. Would need to be demonstrated.

Evaluation integrity

No positive results are claimed before demonstration.

The rule on this site is simple: an outcome is prospective until a controlled test demonstrates it. The measurement and the evaluation method are published first, so the results, when they exist, can be checked against the plan.

What demonstration means here

Bench tests first. Acceptance criteria are written before testing, as on the prototype page. No test has been run.
Controlled trials next. Real-room trials with documented conditions and honest failure logs.
Pilots only after the prototype proves itself. The outcomes above stay prospective until then.

Impact at scale · High-end scenario estimate

One seed, three horizons.

What follows is a model, not a result. It sizes the Kore network at three horizons (Year 1: one metro district. Year 5: about forty cities. Year 10: a national footprint) and applies published incidence rates to estimate what early sensing could mean each year, in lives protected, losses avoided, hours returned, and trash diverted into Kore Ore.

High-end scenario estimate · Modeled, not measured · Concept visualization

Modeled per year	Year 1 · One street	Year 5 · A town	Year 10 · A region
Network	10,000 homes · 500 businesses · 25 public facilities · 50 infrastructure nodes	250,000 homes · 15,000 businesses · 500 facilities · 500 nodes	3,000,000 homes · 300,000 businesses · 8,000 facilities · 8,000 nodes
Lives: deaths avoided	0.41	9.6	130
Lives: serious injuries avoided	15	290	5,000
Money: losses avoided	$6.6M	$110M	$1.6B
Time returned	110,000 hours	2.2M hours	36M hours
Trash diverted into ore	30,000 tons	380,000 tons	6.2M tons

High-end scenario estimate. Modeled from published incidence rates and stated adoption assumptions. Not a forecast, not current results, not a promise. Kore is concept-stage, pre-prototype, pre-revenue.

How the model works

Incidence comes from published sources. Home fires: NFPA, Fire Loss in the United States During 2024 (329,500 home fires; 2,920 deaths; 8,920 injuries; $11.4B in direct damage). Falls: CDC data on adults 65 and older (about 1 in 4 fall each year; about 1 million hospitalizations; fall death rate 78.4 per 100,000). Carbon monoxide: CDC surveillance (more than 400 deaths a year). Workplace deaths: BLS Census of Fatal Occupational Injuries 2023 (construction rate 9.6 per 100,000 FTE; falls 39.2 percent of construction deaths). Water damage: Insurance Information Institute average claim of $15,400. Restaurant fires: NFPA (7,410 a year; cooking equipment about 61 percent).
Effect sizes are stated assumptions, not measurements. Examples: 20 percent of home fire severity avoided through early alert; 50 percent of CO deaths avoided through parts-per-million early warning; 10 percent of senior fall deaths avoided by answering a fall in under a minute; 50 percent of water claim severity avoided by catching a leak in its first hour. Pilots exist to test these numbers.
Heavy industry uses one careful figure. A peer-reviewed breakout-prediction field trial at the Bokaro steel caster reported about ₹31.15M a year in prevented losses. The model applies that figure only to the heavy process tenth of infrastructure nodes, and says so wherever it matters.
Public systems are modeled, not courted. Hospitals, schools, public housing, and water systems appear as impact on shared systems everyone depends on. Kore makes no outreach to government bodies; the point of including them is the size of the stakes, not an offer.
What would make this wrong. Adoption first: every figure scales with the size of the network, so a network one tenth as large produces one tenth of everything. The effect assumptions are unproven until pilots measure them, and the falls assumptions are the softest, because sensing mostly speeds the response rather than preventing the fall. The model counts gross avoided losses, not impact net of the cost of building the network.

Next steps

Talk about prospective impact.

If you fund, study, or pilot the kind of outcomes above, the contact page is the way in.

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