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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.

Agrograde Vector Series AI optical sorting line for potato and onion

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machines shipped

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Indian states with deployments

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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
Agrograde GradePlus Pro WaveMotion size grader for onion

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

  • Agrograde team receiving recognition as a Top 9 Agritech Startup at Mahindra Startup Leap 2023

    Top 9 Agritech Startups, Mahindra Startup Leap (2023)

  • Agrograde featured in NITI Aayog's compendium of 75 agri entrepreneurs and innovators

    Compendium of 75 Agri Innovators, NITI Aayog (2023)

  • Agrograde receiving the first national runner-up award at MANAGE Samunnati Agri Startup Awards 2022

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

  • Agrograde recognised among BSE Top 10 Impact Ventures in 2019

    BSE Top 10 Impact Ventures (2019)

  • Agrograde listed in the Top 100 Startups by Maharashtra State Innovation Society

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

  • Agrograde winning the Social Alpha quest for agritech innovations

    Winner, Social Alpha Quest for Agritech Innovations

Backed by

  • Villgro
  • Social Alpha
  • IIMA Ventures
  • Aligned Ventures

Supported by

  • Bosch DNA
  • NVIDIA Inception Program
  • CIBA
  • Chitkara Innovation Incubator
  • IGKV R-ABI
  • Gastrotope

Automate your packhouse with advanced grading and sorting technology.