Autonomous Exploration Robotics

The Frontier of
Autonomous
Exploration.

Autonomous robotic systems that explore, map, and reason
in terrain where humans cannot operate.

NASA ESA DARPA ARTPARK @ IISc Antler Hancock Prospecting Ma'aden Vedanta Spark Ministry of Mines Curtin University Polytechnique Montréal Perth Landing Pad
$300K
In Pilots
3
Continents
100+
KM Autonomous
30+
Publications
8
Months Old

The Problem

The world spends $12.5 billion a year
looking for critical minerals.

The success rate is 0.5%.

45 major deposits found globally in 20 years.
29 years to bring a mine online in the United States.
10 million ton copper deficit projected by 2040.
The way we explore hasn't changed in decades.

Satellites narrow the search to 10,000 km². After that, it's still humans. Hammers. Notebooks. Handheld instruments. Walking dangerous terrain for years.

The final 5% of precision is the most expensive —
and the least optimized.

We don't tell you where to look.
We tell you what's there.

Mining — Primary Application

Reduce uncertainty
before breaking ground.

$100M+ drilling campaigns before a viable discovery. 12 years of field exploration. Fragmented data. Trial-and-error targeting.

Every wrong drill hole burns capital, time, and credibility. Exploration success rates sit below 1%. Decisions are still made with incomplete ground truth.

Uncharted AI deploys autonomous robots that perform the geological field survey — the phase that every other technology still requires humans to do.

Robot surveying mine terrain

What Changes

Before

Satellite targeting
Sparse manual sampling
Months of fieldwork
Fragmented datasets
$100M+ blind drilling
Trial and error

After

Autonomous ground surveys
Continuous multi-modal sensing
Days of systematic coverage
Real-time fused digital twins
Precise drill targeting
Intelligence before mobilization

Deployed. Not Theoretical.

50%
Reduction in field survey time.
Tier-1 mining pilot, Australia.
$150K
First place, Future Minerals Forum, Riyadh.
370+ applications. Sole Indian winner.
95%
Cost reduction in exploration
versus traditional field methods.
Faster than manual field
exploration workflows.
Hancock Prospecting Vedanta Spark Ma'aden Ministry of Mines, India

Defence & Reconnaissance

Autonomous intelligence
in denied environments.

The same autonomy that surveys mines operates in GPS-denied hostile terrain. Real-time terrain intelligence without human exposure.

NavigationGPS-denied SLAM
CoordinationMulti-robot swarm
EnvironmentUnstructured terrain
IntelligenceEdge AI reasoning
Defence terrain environment

Space Exploration

From Earth's frontiers
to the Moon's surface.

Demonstrated at ESA's LUNA Analog Facility. Lunar regolith extraction with Team ASTROLITH. Curtin University MoU for Mars exploration research.

DemonstratedESA LUNA Facility, DLR
SystemKirb-e lunar rover
ResearchLifeSpringsMars WG
PartnersCurtin, Polytechnique
Lunar surface / Kirb-e rover

We will be mining the Moon by 2031.

The Platform

Three layers.
One platform.

01 — HARDWARE

Autonomous Robots

Tracked platforms built for terrain that breaks everything else. GPS-denied navigation. Extreme temperatures. No roads. No maps. No human operators required.

NavigationSLAM with multi-sensor fusion
TerrainRock, sand, jungle, ice, underground
CommsDecentralized mesh, blackout fallback
CoordinationMulti-robot swarm intelligence
Robot platform — hardware beauty shot, dramatic lighting on dark
Sensor array diagram / exploded view

02 — SENSING

Multi-Modal Sensing

Four sensing modalities fused in real-time on a single platform. Surface and subsurface. Contact and remote. Simultaneously.

LiDARTerrain mapping, structural geology, mm-resolution
HyperspectralMineral signatures, alteration zones, lithology
XRFElemental composition, trace element detection
GPRSubsurface structures, density contrasts

No satellite or drone can make contact measurements.
The ground robot is the only platform that can.

03 — INTELLIGENCE

Intelligence Layer

The hardest part isn't collecting data. It's reasoning about it on the edge.

AI that interprets geological signals in real-time. Adapts exploration paths based on what it finds. Builds shared representations across multiple robots.

Sensing → Reasoning → Action.
Closed loop.

Intelligence dashboard / 3D terrain map with data overlay

The Team

Built by people who've
done this before.

Founder photo

Pradyumna Vyshnav

CEO · M.S. Space Robotics

10+ years in space technology and robotics. Founding member of three robotics startups. Led a portfolio of 15 deep tech ventures.

Founder photo

Dr. Vivek Shankar Varadharajan

CTO · PhD, Field Robotics

NASA JPL CoSTAR team. DARPA Subterranean Challenge. Postdoc at Polytechnique Montréal. Led 20+ researchers on field robotics missions in extreme environments.

100+
KM Autonomous Deployments
30+
Robotics & AI Publications
$10M+
Research Funding
NASA JPL Field AI Polytechnique Montréal Aalto University ARTPARK @ IISc

Why Now

Every government on Earth is racing to secure critical minerals.

$110B
Saudi Arabia — Ma'aden mining investment
$8.5B
US-Australia critical minerals framework
€3B+
EU Critical Raw Materials Act

The money is here. The deposits are not.

The answer isn't more drilling.
It's better intelligence.

TODAY
Autonomous exploration on Earth's toughest terrain. Paid pilots across 3 continents.
24 MONTHS
1 lakh sq.km surveyed. 5+ commercial contracts. $10M ARR.
2031
Mining the Moon.

We are not building a feature.
We are building a category.

From The Field

Research & Insights

Mining

The Economics of Greenfield Discovery — Why 0.5% Isn't Good Enough

$12.5B spent annually with declining returns. Why the exploration model is structurally broken and what comes next.

Technology

Multi-Modal Sensing: What Ground Robots See That Satellites Can't

LiDAR, hyperspectral, XRF, GPR — why contact measurements change everything about field intelligence.

Space

From DARPA SubT to Mining Pits — How Space Robotics Transfers to Earth

The same autonomy that navigates lunar craters is now reducing drilling uncertainty in the Pilbara.