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Physical AI Agriculture Technology

Build Smarter AgTech Models with High-Fidelity Data

DDD provides end-to-end AI data training services supporting modern precision agriculture and autonomous farming systems.

97%

F1 on UAV crop counting benchmarks

mIoU ~0.65

Training masks aligned to land-cover segmentation

mIoU = 97.32%

Livestock video segmentation

Transforming Agriculture with High-Fidelity Data

Our data preparation team and SMEs partner with AgTech startups, food producers, AgroChem companies, and machinery producers to generate clean AI and ML data sets that help drive innovation in food supply solutions, precision agriculture, farm automation, and smart resource management.

Strategic

We bring industry-tested SMEs, provide training data strategy, and understand the data security and training requirements needed to deliver better client outcomes.

Reliable

Our global workforce allows us to deliver high-quality work, 365 days a year, across multiple countries and time zones. With 24/7 coverage, we are agile in responding to changing project needs.

Consistent

We are lifetime project partners. Your assigned team will stay with you – no rotation. As your team becomes experts over time, they train more resources, that’s how we achieve scalability.

Flexible

We are platform agnostic. We don’t force you to use our tools, we integrate with the technology stack that works best for your project.

ISO-27001 1
AICPA-SOC
Tisax-Certificate

What Our Clients Say

DDD’s ability to manage data at scale helped us deploy high-quality analytics weeks ahead of schedule. They’ve become a trusted extension of our geospatial team.

– Head of Remote Sensing, AgTech Enterprise

DDD’s team understood the agricultural nuances immediately and delivered consistently clean datasets across multiple geographies and seasons. Our model accuracy improved by more than 20% after integrating their labeled drone imagery.

– Director of AI, AgTech Enterprise

DDD’s crop disease detection annotations were some of the best we’ve ever received. Their teams captured subtle variations that meaningfully improved our early-detection capabilities.

– CTO, Autonomous Farming Robotics Startup

The simulation environments DDD built for us were incredibly detailed. They helped us expose our models to edge cases and improve failure handling before field trials.

– Lead Simulation Engineer, Autonomous Robotics Lab

Customer Success Stories

LiDAR Segmentation

LiDAR Segmentation for ADAS with 97%+ Quality

Our client needed a highly skilled and rapidly scalable annotation team capable of segmenting and labeling massive LiDAR datasets with exceptional precision to ensure safe and reliable ADAS performance.


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LLM

AI Driven Engineering Solutions

Empowering enterprises with scalable AI and ML deployment strategies.


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AI

Optimizing Model Performance Through LLM Fine-Tuning Expertise

See how DDD accelerates Autonomous Driving innovation through data-driven success stories.


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AI

AI Driven Engineering Solutions

Empowering enterprises with scalable AI and ML deployment strategies.


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AI

Discover Our Expert Insights and Whitepapers

Deep dive into the latest technologies and methodologies shaping the AgTech industry.

Drive the Future of Precision Agriculture with High-Quality Datasets

Frequently Asked Questions

Does DDD support seasonal or large-scale agricultural datasets?

Absolutely. Our global workforce can scale rapidly to support large field surveys, multi-season monitoring programs, and enterprise AgTech workloads.

How does DDD ensure accuracy for agricultural ML models?

Through domain-trained annotators, multi-layer QA, geospatial validation, and standardized annotation frameworks aligned with precision agriculture requirements.

Can DDD support autonomous farming machines or agricultural robotics?

Yes. We annotate perception, navigation, obstacle detection, and environmental datasets required for AgTech.

Does DDD work with both startups and enterprise AgTech companies?

Yes. We support AgTech innovators of all sizes with flexible engagement models and scalable delivery.

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