Physical AI & Computer Vision Data Services
End-to-end image, video, and sensor data services for training and evaluating Physical AI and computer vision models.
Training Physical AI Models at Scale with Speed and Precision
Modern AI systems do more than process text. They perceive and interact with the physical world. Robotics, autonomous systems, agriculture, and geospatial AI all depend on high-quality image, video, and sensor data delivered quickly.
Physical AI requires speed, precision, and scalable data infrastructure.
In practice, teams need large volumes of accurately labeled data they can iterate on as models evolve.
Innodata delivers end-to-end image, video, and sensor data services that support rapid retraining, rigorous evaluation, and reliable deployment at scale.
What We Do
Innodata helps AI teams turn raw visual data into production-ready training datasets.
You Give Us
Images
Raw imagery from cameras, satellites, microscopes, or devices
Video
Footage from cameras, drones, dashcams, or any feed
Sensor Data
(RGB, IR, LiDAR, egocentric, aerial, HSI, etc.)
Requirements
for custom data collection when off-the-shelf datasets do not exist.
We Deliver
- Precisely annotated frames based on your ontology and performance specifications
- Custom keypoints and skeletal models
- Quality-controlled labels ready for model training
- Fast, scalable turnaround, even at massive volume
- Production-ready datasets designed for real-world Physical AI use cases
How We Ensure Speed and Quality:
- Human-in-the-loop workflows combining automation and expert review.
- Proprietary quality controls designed for motion-heavy and real-world data.
- Turnaround measured in hours, even at large scale
In addition to annotation, we also support custom image, video, and sensor data collection. We work with partners and internal teams to source and capture domain-specific datasets, enabling customers to train models on exactly the scenarios they care about.
Core Capabilities
Image, Video & Sensor Annotation
We support complex computer vision tasks across people, animals, objects, and environments:
- Object detection & tracking
- Keypoint & skeletal extraction (custom skeletons)
- Action & motion labeling
- Small-object detection
- Egocentric (first-person) video labeling
- Geospatial & aerial imagery annotation
Our teams routinely process thousands of frames per night, turning around labeled datasets in hours, not weeks.
Source
Tanner, F., “Evaluating prompt design choices for object detection, counting, and classification in overhead imagery,” In Proceedings of SPIE, Pattern Recognition and Prediction XXXVII, Vol 14032. 2026
Labeling Based on Target Ontology
What Are You Trying to Do?
Similar pile of clothing, different state, different action space.
Wash the laundry?
Put laundry in hamper?
Put laundry away?
Yell at the kids?
Why Innodata
Quality at Speed. Our Care Advantage.
Without automation, a single annotated video can take hours.
Innodata delivers:
- Thousands of frames processed per night
- Turnaround measured in hours
- Global teams ready to scale on demand
This speed enables faster experimentation, faster retraining, and faster deployment.
Built for Scale
- Thousands of trained annotators across the Philippines, India, Kenya, Sri Lanka, and beyond
- Rapid team ramp‑up
- Proven ability to support large, continuous annotation campaigns
Whether you’re labeling a pilot dataset or retraining models nightly, we scale with you.
Proprietary Quality Controls
Our quality approach goes beyond spot checks:
- Multi‑layer QA workflows
- Model-based anomaly detection
- Continuous feedback loops
The result: datasets that data scientists trust, even for the most complex physical AI use cases.
35+ Years, Trusted by Leading AI Builders
Innodata supports some of the world’s most advanced AI teams, including leading hyperscalers and frontier AI organizations, across high-volume training data, evaluation, and quality assurance workloads.
Let’s Build Physical AI Together
Whether you’re training a new vision model or scaling production pipelines, Innodata helps you move faster with data you can trust.
Talk to us about designing and delivering a Physical AI data pipeline tailored to your models and deployment goals.