Physical AI Data for Agriculture & Manufacturing
BANAS AI
Ground-Truth Data from the Real World
Built by farming experts with real-world skills and expertise, Physical AI researchers, and professional software engineers — Banas AI delivers datasets that reflect how agriculture and manufacturing actually work.
What We Offer
Data and AI expertise, purpose-built for the real world
We collect, curate, and deliver physical world datasets — and build AI tools — for teams training the next generation of AI and robotics systems.
Ecocentric & Agricultural Datasets
Structured datasets collected from real farming environments — soil composition, crop health, pH levels, irrigation patterns, and seasonal variation. Cleaned, labelled, and ready for model training.
Manufacturing Process Data
Operational data from production floors — machine states, defect patterns, process telemetry, and quality control metrics. Designed for industrial AI and automation training pipelines.
pH & Soil AI Detection
We built a mobile AI tool for instant pH detection in soil and water, currently used in agricultural settings. Our datasets include real sensor readings collected using this tool — ground-truth data, not estimates.
Custom Data Contracting
Need data collected for a specific crop, region, process type, or sensor configuration? We take on custom contracting projects — scoping, collecting in the field, and delivering clean structured output.
Physical AI Expertise
Our Dublin-based AI team understands how physical systems behave and what models need to learn from real-world data. Every dataset we produce is designed with the training pipeline in mind, not just data storage.
Region-Specific Coverage
Our datasets reflect real-world conditions — regional crop varieties, local manufacturing setups, seasonal variation, and field-level ground truth that global or synthetic datasets simply cannot replicate.
The expertise gap most AI data companies miss
Most data vendors treat agriculture and manufacturing as categories on a form. We treat them as domains we have lived in for generations.
Our agricultural roots run deep — our team consists of farming experts with deep real-world skills and expertise across diverse agricultural regions. We know which soil conditions matter by season, how crop stress looks in the field before it shows up in a sensor reading, and how farming practice varies across regions in ways that dramatically affect what an AI model needs to learn.
Our Physical AI team in Dublin brings the technical rigour — understanding not just how to collect data, but how models consume it, what failure modes look like, and how to structure datasets that generalise well to real-world deployment. Our professional software engineers build the pipelines and tooling that make everything production-ready. Together, we bridge the gap between the field and the model.
Trusted by AI and robotics teams building real-world systems
Reach out to discuss your dataset requirements, custom contracting, or access to existing datasets.
Contact UsGenerational Agricultural Roots
Our field data is collected and validated by farming families with deep, multi-generational experience across Indian agricultural regions — not by contracted surveyors.
Physical AI Research Expertise
Our Dublin-based AI researchers ensure every dataset is structured for how physical AI models actually learn — not just how data is typically stored or sold.
End-to-End Engineering
Professional software engineers build and maintain our data pipelines and delivery systems — so you receive clean, structured, production-ready datasets every time.
Who We Are
Farming Expertise Meets Physical AI
Banas AI was founded at the intersection of two worlds — deep roots in real-world agriculture and cutting-edge expertise in Physical AI.
Our agricultural team consists of farming experts with deep real-world skills and expertise. These are not contracted surveyors — they are people who have lived and worked the land across diverse agricultural regions. They understand soil composition by touch, read weather patterns in the sky, and know crop health by subtle visual cues that no sensor can replicate. When we collect field data, we collect it with this irreplaceable real-world expertise behind every single data point.
Our Physical AI and technical team are based in Dublin and Karnataka (Bengaluru), working at the frontier of how machines learn to understand and interact with the physical world. They design our data collection methodology, define the labelling schemas, and ensure every dataset is built with model training in mind. Our professional software engineers build the tools, pipelines, and systems that make our datasets clean, structured, and ready to use the moment they reach you.
The result is something rare: a dataset company where farming expertise, AI research, and software engineering all work from the same vision — to deliver ground-truth data that reflects how agriculture and manufacturing actually work in the real world.
Our work today in data collection and AI tooling is laying the foundation for the next stage of Physical AI development in agriculture and manufacturing.
We are specialists in providing high-quality ecocentric agricultural datasets. This is our primary focus — collecting and curating data from real-world farming environments including soil composition, crop health, machine telemetry, and process telemetry. All our datasets are field-collected by experts, cleaned, validated, and structured specifically for AI and robotics training pipelines.
KarnatakaPalm-500 is one of our flagship collection projects, consisting of two specialized tracks designed for advanced AI training:
Track A: Coconut scene dataset + harvest demonstrations
- Target: 300 episodes
- Type: Embodied scene capture — RGB-D + overhead RGB
- Details: Captures coconut bunches on trees across various ripeness stages, occlusion conditions, viewpoints, and lighting conditions.
- Primary buyers: Robotics foundation model companies, crop insurance companies, and agri-input multinationals.
Track B: Arecanut harvest demonstrations
- Target: 200 episodes
- Type: Egocentric manipulation demonstrations — RGB-D + IMU + language
- Details: Captures expert hand-harvest motions from approach to separation, accompanied by Kannada language narration.
- Primary buyers: Companies like Physical Intelligence (π), 1X Technologies, and Skild AI training dexterous manipulation models.
We operate across multiple locations to bridge the gap between AI research and the real world. Our field data teams are embedded in farming communities across diverse agricultural regions, bringing deep expertise to every collection project. Our Physical AI and technical team are based in Dublin and Karnataka (Bengaluru).
Our data is collected by farming experts with real-world skills — people who have lived and worked the land for generations. Unlike contracted surveyors, our team understands the nuances of the environment, seasonal variations, and subtle ground truth cues. This expertise ensures that the data we provide reflects real-world complexities that models need to master.
Yes, capturing real-world diversity is our core advantage. Our data reflects specific agricultural regions, crop varieties, soil types, and factory floor environments that global or synthetic datasets simply cannot replicate. This is critical for AI systems designed to operate reliably in physical environments.
Our datasets are purpose-built for AI research teams, robotics companies building foundation models, agri-tech startups, and any organization training models that need a deep understanding of physical world interactions and dexterous manipulation.
Contact us at contact@banasai.com or call us directly. We will discuss your specific requirements, share details of available datasets like KarnatakaPalm-500, and scope any custom collection work if needed.
Common Questions
Find answers to frequently asked questions about our datasets, services, and team.
Ready to access physical world datasets?
Reach out to discuss your needs. We will share available datasets, pricing, and custom contracting options — no commitment required.
