Pre-seed · Independent · Built for India's mining & insurance sectors

Turning Earth observation into risk decisions.

EO2DM fuses satellite optical, radar and hyperspectral data with AI anomaly detection to help India's mining operators, regulators and insurers see risk before it becomes loss — illegal extraction, ground instability, tailings-dam failure, and mispriced exposure.

$66B
India mining & quarrying GVA (FY25); targeted to reach 5% of GDP by 2030
1B+ t
Indian coal output crossed 1 billion tonnes (FY25) — thousands of monitored sites
$8.2B
India crop-insurance market by 2032, increasingly satellite & parametric-driven
1–2mm
Ground deformation detectable from orbit with InSAR — before cracks appear
The problem

Ground truth arrives too late, too partial, and too expensive.

India's minerals economy is scaling fast, but the risk infrastructure hasn't kept up. Enforcement, safety and underwriting still rely on sporadic field inspections that cover a fraction of sites — leaving revenue, lives and capital exposed.

Illegal & unpermitted mining

National satellite surveillance exists, but reporting shows nearly half of illegal-mining triggers go un-actioned for years. Extraction without paid royalties has cost the exchequer thousands of crores.

Catastrophic ground failure

Tailings-dam breaches and slope/subsidence failures kill workers and destroy assets. Movement is often measurable months in advance — but no one is watching continuously.

Blind, mispriced risk

Insurers underwrite mines, infrastructure and land with stale or self-reported data. Claims are slow to validate and fraud is hard to catch without an independent, time-stamped record.

The platform

An anomaly-detection engine for the built and mined environment.

EO2DM continuously ingests multi-sensor Earth observation over client-defined Areas of Interest, learns each site's normal behaviour, and flags statistically significant deviations with quantified confidence — delivered as alerts, reports, or an API into existing workflows.

01 · SENSE

Multi-sensor fusion

Optical (Sentinel-2, Landsat, high-res tasking), SAR/InSAR (Sentinel-1) and hyperspectral, fused across space, spectrum and time.

02 · MODEL

Learn the baseline

Generative & transformer models build a per-AOI expectation of vegetation, water, surface and deformation behaviour.

03 · DETECT

Flag anomalies

Probabilistic deviation scoring separates real change from noise — new pits, encroachment, movement, contamination.

04 · DECIDE

Deliver decisions

Prioritised alerts, audit-ready reports and API feeds into enforcement, HSE and underwriting systems.

📡

Radar that sees through monsoon

SAR/InSAR penetrates cloud, rain and smoke — reliable monitoring in exactly the conditions when optical fails and risk peaks.

🎯

Millimetre early warning

InSAR detects 1–2 mm of surface displacement, revealing slope and embankment instability long before visible failure.

🧠

Explainable AI, quantified uncertainty

Every flag carries a confidence score and evidence imagery — defensible for regulators, auditors and reinsurers.

Two markets, one engine

The same anomaly signal is worth money to two buyers.

MINING & REGULATORS

  • Illegal / boundary-breach detection — new excavation, over-lease extraction and encroachment flagged automatically across a state.
  • Tailings-dam & slope stability — continuous InSAR deformation monitoring with early-warning thresholds.
  • Subsidence over underground workings — track sinking above old and active mines that threatens villages and rail.
  • Environmental & rehabilitation compliance — water contamination, dust, vegetation loss and mine-closure verification.
  • Production & volume estimation — stockpile and pit-progression analytics for royalty reconciliation.

INSURANCE & REINSURANCE

  • Underwriting risk scoring — independent, site-level hazard grades for mines, plants, solar farms and infrastructure.
  • Exposure verification — confirm what is actually on the ground vs. what was declared at bind.
  • Parametric triggers — objective EO indices that auto-settle flood, drought and land-movement covers.
  • Claims validation & fraud — time-stamped before/after imagery to confirm loss and dates.
  • Portfolio accumulation — geospatial view of correlated risk across an entire book.
The opportunity

A large, structurally growing, under-served market.

The global Earth-observation market is ~$5B and growing, with value-added analytics — exactly EO2DM's layer — the fastest-growing segment (~10% CAGR). India is one of the highest-leverage geographies: enormous mineral and agricultural exposure, a national push on mining, and newly opened satellite-data access.

TAM
$1.5B+

EO analytics for mining, insurance & infrastructure risk across South & Southeast Asia and comparable emerging markets.

SAM
$300M

India mining-risk & insurance-analytics spend addressable via EO — regulators, PSUs, private miners, insurers & reinsurers.

3-YR SOM
$8–12M

Beachhead: a handful of state mining departments, PSU miners and 2–3 insurers on recurring monitoring contracts.

Why now · Why India

The policy and data tailwinds just turned on.

1

Indian Space Policy 2023 & IN-SPACe opened the sector to private players with a single-window regulator and dedicated funds, including a ₹500 cr technology-adoption fund and a ~$120M space VC fund.

2

Free & open ISRO data to 5 m resolution plus a private-led 12-satellite EO constellation (Pixxel, SatSure et al.) collapse the cost of high-frequency coverage.

3

Government mandate to double mining's GDP share to 5% by 2030 — with intense scrutiny on illegal mining and mine safety.

4

Insurance going digital & parametric — schemes like PMFBY already run satellite triggers over 30M+ farmers, normalising EO in underwriting.

Team

Earth-observation science meets industrial go-to-market.

A rare pairing for this market: two decades of front-line industrial asset-monitoring sales in India, alongside deep remote-sensing and AI science. That combination is our edge — we know both the technology and the buyer.

SC

Sachin Chadha

Co-founder & CEO

~20 years leading industrial predictive-analytics and asset-performance sales at Baker Hughes, GE Oil & Gas and Rockwell Automation. Deep relationships across energy, industrial and EPC buyers in India. Leads commercial strategy and go-to-market.

SK

Saurav Kumar, PhD

Co-founder & Scientific Advisor

Remote sensing, hyperspectral imaging and AI for Earth systems. Leads the scientific vision, detection algorithms and validation methodology.

+

Team — building

With this round

Recruiting India-based geospatial engineering and domain advisors across mining regulation and insurance underwriting.

Pre-seed round open

Let's put eyes on the ground — from orbit.

We're raising a pre-seed round to build the India pilot, land our first regulator and insurer contracts, and productise the platform. Request the full investor deck and technical brief.

info@eo2dm.com

info@eo2dm.com  ·  saurav@eo2dm.com  ·  sachin@eo2dm.com