Exposure Intelligence
Pollution is what’s in the air. Exposure is what happens to people.
Climora measures the human impact of air, climate, and mobility — decision-grade exposure intelligence for governments, smart cities, ESG teams, and public health organizations.
Exposure index
84
Population at risk
96.7k
PEBA opportunity
₹11.2 Cr
Wards monitored
144
PEBA ward ranking
Top intervention
Reroute freight off NE arterial, 07–10h
−18.4k exposure-hrs/day
The Climora platform — exposure view, PEBA ranking, and intervention queue on live city data
Methodology aligned with
WHO
Air Quality Guidelines
NCAP
India Clean Air Programme
GHG Protocol
Scope 3 Standard
SDGs
UN Global Goals
Viksit Bharat 2047
India Vision
SCM
Smart Cities Mission
The problem
Same AQI. Different human impact.
Two wards in the same city report an identical air quality index. A pollution map treats them as equals. The people living in them are not.
Measured air quality — both wards
AQI 180
Ward A · Commercial district
- Low residential density
- Mostly indoor office workers
- Limited outdoor labor
- Few schools and care facilities
- People in high-exposure hours
- 0
- Annual health burden (est.)
- ₹0.0 Cr
Ward B · Dense mixed corridor
- High-density housing on arterial road
- Street vendors and outdoor labor
- 4 schools, 2 care homes in plume path
- Peak-hour pedestrian volumes
- People in high-exposure hours
- 0
- Annual health burden (est.)
- ₹0.0 Cr
Cities measure pollution. Enterprises measure carbon. Neither measures what happens to people. That measurement gap is where budgets are misdirected and health is lost — and it’s the gap Climora closes.
Why now
The decade of measuring impact has started.
Four forces are converging on the same requirement: prove what your environment does to people — and what your actions change.
Health Economics
Economic Burden Avoided
Climora AI helps organizations quantify the economic burden avoided through smarter mobility and sustainability interventions. By combining mobility patterns, environmental exposure intelligence, and health-impact modeling, Climora AI estimates the financial value of reduced pollution exposure and improved population health—without relying on hospital data.
Public health
The burden is measured in lives
The WHO estimates that 99% of the world breathes air exceeding its guideline limits, and air pollution drives millions of premature deaths a year — with India among the most affected. The cost of acting blind compounds daily.
Policy deadlines
Clean-air targets need proof of impact
NCAP cities must demonstrate particulate reductions against national targets. Budgets are flowing — but without exposure intelligence, cities can hit emission numbers while their most vulnerable people see no benefit.
Capital
Adaptation money follows measurement
Smart-city programs, climate finance, and adaptation funds increasingly require quantified human-impact baselines. The organizations that can measure exposure burden are the ones that win the funding to reduce it.
Every one of these forces asks a question that pollution monitors can’t answer: what happened to people?
The flagship framework
One number for human impact: PEBA
Population Exposure Burden Avoided
PEBA measures how much human exposure burden an intervention removes — weighted by who is affected, how vulnerable they are, and for how long. It is the metric that tells a government or an enterprise where the next rupee saves the most health.
PEBA Outputs
What PEBA helps quantify
- Exposure Burden Avoided
- Citizens Protected
- Health Risk Reduced
- Economic Value Created
One score. Four measurable outcomes.
The PEBA model
PEBA score
Exposure burden avoided per intervention
Intervention targeting
Rank wards, corridors, and assets by where action removes the most exposure burden.
Budget prioritization
Direct the next rupee of clean-air spending to its highest health return.
Avoided health burden
Quantify the human impact of every intervention — before and after.
Economic value
Translate exposure reduction into productivity and healthcare savings.
Every score traces to documented inputs — auditable end to end
The platform
One intelligence stack, from signal to decision.
Five connected views turn environmental and mobility data into decision-grade human-impact intelligence. This is the software your team will work in.
Vulnerability-weighted exposure mapping at ward and corridor level — who is exposed, where, when, and how severely.
Vulnerability-weighted exposure · live
Q2 FY26Exposure index
84
Population at risk
96.7k
Sensitive sites
6
Trend · 7d
+4.2%
Exposure by cohort
Solutions
Built for the people who decide.
How it works
From signal to decision — no black boxes.
Every output traces back to named data sources and documented models. Defensibility is the product.
Sense
Satellite observations, ground sensor networks, mobility patterns, and demographic data — fused into a single environmental signal.
Model
Exposure, vulnerability, and health burden engines convert environmental signal into population-level human impact.
Decide
PEBA scores, intervention rankings, and reporting outputs — intelligence shaped for budgets, policies, and disclosures.
Why India first
Built on the hardest data environment on Earth.
Exposure intelligence that works at Indian density, complexity, and scale works anywhere. That is the point. Local proof. Global design.
Urban density
Tens of thousands of people per km² — exposure changes block by block, hour by hour.
Mobility complexity
Freight, transit, two-wheelers, and foot traffic share the same corridors at once.
Sensor sparsity
Vast populations between monitors — models must fill the gaps defensibly.
Population scale
Vulnerability varies across age, occupation, and income at a scale no other market tests.
People in the world's most demanding data environment
NCAP non-attainment cities where exposure targeting matters most
Urban local bodies addressable under NCAP & Smart Cities Mission
Continuous exposure modeling across monitored corridors
The citizen layer
Millions of exposure decisions a day — every one makes the model smarter.
The Climora app gives citizens route-level exposure guidance: when to travel, which corridor to take, where the air is safest. For the platform, it is ground truth at population scale — a living sensor network that sharpens every model it touches.
iOS App
Coming soon
Android App
Coming soon
Your exposure now
Route comparison · home → office
Best window today
Outdoor activity: 06:00–08:30
Soumyadip Ghosal
Founder & CEO · Climora AI
Why we built this
“India has invested heavily in measuring pollution. The next national challenge is measuring how pollution affects people — and acting on it.”
- Measurement is the first act of care — you cannot protect people from what you refuse to quantify.
- Built from Kolkata, on Indian streets and Indian data, for every city that breathes hard.
- The goal is not better dashboards. It is healthier commutes, smarter budgets, longer lives.
Mission: close the gap between environmental data and human impact — and make exposure a number every city and enterprise manages.
Follow Climora on LinkedInExposure Intelligence
See your city the way it actually breathes.
The future of climate intelligence starts with human impact. Every month spent measuring only pollution is a month of budgets, health, and trust spent blind.
Not ready? Get the PEBA framework brief — the document teams share before they call us.