Fresh produce grading and sorting · Pune, India
The autonomous future of packhouses
Agrograde is building the technologies for autonomous packhouses, starting with the most quality-critical stage: AI-powered grading and sorting. Our Vector Series optical sorting platform assesses every piece of produce, detects quality defects, and standardises quality.

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machines shipped
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Indian states with deployments
0 years
of data used to train A.I. models
Up to 0%
defect detection accuracy
Vector Series
Inconsistent sorting leads to heavy losses.
Vector A.I. accurately detects almost all the major external defects.
Manual sorting is subjective, slow, and difficult to standardise across long shifts. Missed defects lead to debit notes, post-storage losses, rejection risk, and inconsistent buyer confidence. Vector applies one inspection standard to every item and identifies external defects at commercial line speeds of up to 20 MT per hour.
High surface coverage. Fast defect decisions.
A patent-pending mechanism captures up to 8 images of each item using industrial-grade, high-resolution cameras. The system reduces blind spots and gives Vector one of the highest surface coverages in the optical sorting category.
GradePlus Series
A new grading technology for loose-skin onions.
Onion grading has always been difficult to automate because the outer skin is fragile, papery, and commercially important. Conventional graders create friction, rubbing, and impact that can cause skin-out. GradePlus uses Agrograde’s WaveMotion technology to move onions in a controlled flow instead of dragging or shaking them, enabling accurate size grading while protecting the skin.
Designed to grade onions without skin damage.
See WaveMotion
Built for real packhouse conditions
Designed for robustness and reliability.
Fresh produce lots are rarely uniform. They arrive unwashed, mixed by size, variety, and source, often in open-air operating environments. Agrograde machines are engineered for these realities: high variation, rugged use, limited operator skill, and commercial throughput.
Every machine is built around its crop’s physical characteristics: rotation tuned to the shape of a potato, wave motion for loose-skin onion, roller geometry that does not snap elongated varieties.
Recognition

Top 9 Agritech Startups, Mahindra Startup Leap (2023)

Compendium of 75 Agri Innovators, NITI Aayog (2023)

1st National Runner-up, MANAGE Samunnati Awards (2022)

BSE Top 10 Impact Ventures (2019)

Top 100 Startups, MSINS, Govt. of Maharashtra (2019)

Winner, Social Alpha Quest for Agritech Innovations
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