AI DATA INFRASTRUCTURE FOR PHYSICAL AI

The data layer
behind Physical AI.

DATONAT builds AI data infrastructure and annotation systems that transform real-world sensor data into high-quality, AI-ready datasets.

MULTIMODAL DATA
CAMERA · LiDAR · RADAR
VEHICLE
OBJECT
PEDESTRIAN
COMPUTER VISION·3D LiDAR·RADAR·SENSOR FUSION·DATA ANNOTATION· COMPUTER VISION·3D LiDAR·RADAR·SENSOR FUSION·DATA ANNOTATION
01 — PLATFORM

The DATONAT
Data Platform.

One infrastructure layer for collecting, curating, annotating, validating and delivering multimodal AI data.

01

Data Collection

Organize real-world data from cameras, LiDAR, RADAR, video and sensor streams.

CameraLiDARRADAR
02

Data Curation

Filter, structure and classify large volumes of raw data into usable datasets.

03

Data Annotation

Create precise labels across 2D, 3D and multimodal data.

04

Data Quality

Validation and review workflows designed for reliable training data.

05

Dataset Delivery

Move structured, production-ready datasets into the workflows used by AI teams.

02 — SOLUTIONS

Infrastructure for
the physical world.

Data operations built around the perception and intelligence systems powering Physical AI.

01

Autonomous Vehicles

ADAS · Perception · Mapping · Autonomous Driving

02

Robotics

Navigation · Manipulation · Vision · 3D Understanding

03

Drones

Aerial Perception · Navigation · Mapping · Geospatial Data

03 — TECHNOLOGY

Built for
multimodal data.

DATONAT combines annotation workflows, data processing and quality operations across the modalities Physical AI systems depend on.

01

Computer Vision

Image and video annotation for perception models.

Bounding BoxesSegmentationKeypointsClassification
02

3D & LiDAR

Point-cloud processing and 3D object labeling.

3D CuboidsPoint Clouds3D Segmentation
03

RADAR

Radar annotation and object-level data operations.

DetectionAnnotationSensor Data
04

Sensor Fusion

Connect multiple sensor modalities into a unified data view.

Camera + LiDARCamera + RADARMultimodal
05

AI-Assisted Annotation

Model-assisted workflows that accelerate human labeling and review.

Pre-labelingSegmentationHuman Validation
06

Quality Operations

Structured review and validation throughout the data lifecycle.

QAReviewError Detection
04 — DATA PIPELINE

From raw data
to AI-ready.

01COLLECTCapture & ingest
02CURATEFilter & structure
03ANNOTATELabel & enrich
04VALIDATEReview & verify
05DELIVERDataset output
ANNOTATION CAPABILITIES

Label the world
AI can understand.

2D DATA

Bounding Boxes
Polygons
Segmentation
Keypoints
Classification

3D DATA

3D Bounding Boxes
Point Clouds
Cuboids
3D Segmentation
LiDAR

MULTIMODAL

Camera
LiDAR
RADAR
Sensor Fusion
Video

05 — ABOUT DATONAT

Built for the
physical world.

DATONAT is an AI data infrastructure and data annotation company focused on the data systems behind Physical AI.

We work across computer vision, 3D LiDAR, RADAR, sensor fusion and AI-assisted annotation for autonomous vehicles, robotics and drones.

FOUNDER Priyansh Yadav
CO-FOUNDER Ayush Kushwah
06 — CONTACT

Build better AI
with better data.

Tell us what data your AI system needs. We can discuss annotation, multimodal datasets and data infrastructure for your next project.

Talk to DATONAT
hello@datonat.com