TIER 2 — HARDWARE ARRIVING8 MODULES8 INTEGRATED MODELS5 SENSOR MODALITIES

NEMESIS

The Robot That Never Gets Lost

Stairs, rubble, mud, pitch darkness, dust storms, GPS denial. Five sensor modalities running simultaneously. When any sensor fails, the others compensate. Zero single points of failure.

VERTICAL DRIFT ON STAIRS

<2%

TIER 2 // 06

Event Cam + RGB + LiDAR + IMU + Legs → KAIROS → GNOMON → CHRONOS → ABYSSOS → PANOPTES → HARMONIA → NEXUS → HERMES

01THE PROBLEM

SENSORS FAIL IN THE REAL WORLD

Robotics keeps building for ideal conditions — flat floors, good lighting, strong GPS. Reality doesn't cooperate. Construction sites have dust clouds that blind cameras. Search-and-rescue zones have no GPS. Mines have zero ambient light. Every deployed robot eventually hits a sensor failure. Most of them stop dead.

1
SENSOR = SINGLE POINT OF FAILURE: <1 m/s
SPEED IN DEGRADED CONDITIONS: 0
SYSTEMS THAT HANDLE ALL FAILURES

02THE SOLUTION

ASSUME SENSORS FAIL. DESIGN AROUND IT.

NEMESIS chains eight research models into a multi-modal navigation stack that treats sensor failure as a normal operating condition. Event cameras, RGB, LiDAR, IMU, and leg odometry all feed a fusion layer that degrades gracefully. Lose a sensor? The stack re-weights and keeps moving.

MODULE CHAIN:Event Cam + RGB + LiDAR + IMU + Legs → KAIROS → GNOMON → CHRONOS → ABYSSOS → PANOPTES → HARMONIA → NEXUS → HERMES

01
KAIROS
Event-Camera SLAM
Microsecond-resolution visual odometry from neuromorphic event cameras. Works in total darkness and extreme motion blur where conventional cameras fail.
02
GNOMON
Legged Odometry MVP
Proprioceptive state estimation from leg kinematics and IMU. No external sensors needed — the robot knows where it is from how it walks.
03
CHRONOS
Video Depth Estimation
Temporally consistent monocular depth from standard RGB video. Smooth, stable depth fields that stay locked across hundreds of frames.
04
ABYSSOS
LiDAR Fusion Depth
Sparse LiDAR points fused with dense depth predictions. Corrects scale drift and anchors the metric world frame.
05
PANOPTES
Any-Camera Depth
Zero-shot depth estimation that generalizes across any camera intrinsics. No calibration, no fine-tuning, just depth from any lens.
06
HARMONIA
Adaptive Sensor Fusion
Dynamic re-weighting of all sensor streams based on confidence and failure detection. The brain that decides which sensors to trust.
07
NEXUS
Semantic 3D Map
Builds a persistent, labeled 3D world model from fused sensor data. Every surface and object is classified and tracked.
08
HERMES
Semantic Navigation
Goal-directed path planning over semantic maps. Navigate to "the collapsed doorway" not "coordinate 47.3, 12.1".

03WHAT THIS MEANS

FOR ROBOTICS

Every robot deployed in unstructured environments eventually loses a sensor. NEMESIS is the first stack designed from the ground up to treat that as normal. Not a fallback mode — the primary operating assumption.

01Disaster response robots that navigate through dust, darkness, and rubble without stopping
02GPS-denied navigation in underground mines, dense forests, and indoor construction
03GNOMON proprioceptive odometry proven as MVP — the robot always knows where its feet are

04NUMBERS

KEY NUMBERS

<2%
VERTICAL DRIFT ON STAIRS: 22841
VALIDATED POSES: 5
SENSOR MODALITIES: $8B
TOTAL ADDRESSABLE MARKET

05MARKET

WHERE THE VALUE IS

WHERE THE VALUE IS
SEARCH & RESCUE	$3B
CONSTRUCTION & MINING	$3B
MILITARY & DEFENSE	$2B
UNDERGROUND INFRASTRUCTURE	$0.5B

THE MOAT

Most robots assume sensors work. NEMESIS assumes sensors fail. That's a completely different design philosophy.

No single point of failure.