Intello Labs

AI-powered platform for grading and quality monitoring of agricultural commodities using computer vision and deep learning.

Website: https://www.intellolabs.com/

Who Is Behind the Company

Intello Labs was founded in 2016 by Milan Sharma, Nishant Mishra, Himani Shah, Devendra Chandani, Rajendra Lora, Vishal Sharma, and Ashutosh Kumar. The team brings a technical and operational focus to the agricultural supply chain.

What an Investor Needs First

Intello Labs is building a physical AI platform to digitize and automate quality assessment across the global fresh produce supply chain. Founded in 2016, the company has evolved from an image-based smartphone grading tool into a suite of hardware and software solutions, including optical sorting machines and automated packers, anchored by what it claims is the most comprehensive fresh produce vision model, trained on over a billion images [Intello Labs, retrieved 2024].

Backed by a $5,900,000 Series A round led by Saama Capital, the company operates on a SaaS and hardware sales model, targeting growers, traders, and retailers with promises of increased price realization and reduced waste [AgFunder News]. Its key differentiator is the application of deep learning to physical operations, moving beyond pure software into integrated systems for sorting, packing, and digital trade.

Data Accuracy: YELLOW -- Core product and funding details are confirmed by the company and a named publisher, but key traction and team background claims rely on single-source or self-reported data.

Inside the Company

Intello Labs was founded in 2016 in Gurugram, India, with the stated mission of applying computer vision and deep learning to standardize the subjective, manual grading of agricultural produce [Intello Labs, retrieved 2024]. The company secured an angel round in August 2017, followed by a seed round in April 2019 [Seedtable]. A significant funding inflection point came in May 2020 with a $5,900,000 Series A round led by Saama Capital, with participation from AgFunder’s GROW Impact Fund, Omnivore, Nexus Venture Partners, and SVG Ventures Thrive [AgFunder News]. A subsequent $2,800,000 Series B round was reported in December 2022 [Tracxn, 2026].

The company's geographic footprint has expanded from its Indian headquarters. Public materials now list operations in India, Europe, South Africa, and Australia, and the company claims to be the first Indian firm to deploy automated fruit packing in Europe [Intello Labs, retrieved 2024] [AgroTech Space, 2025]. By 2024, Intello Labs reported having processed over 100,000 metric tonnes of fresh produce [Intello Labs, retrieved 2024].

Data Accuracy: YELLOW -- Founding date, headquarters, and founder names are corroborated by the company website and LinkedIn. Funding round amounts and dates are reported by multiple outlets, but some details, such as specific round leads for the seed and Series B, are not consistently verified across all sources.

Under the Hood

Intello Labs positions its core offering as "Physical AI," a category it defines as the integration of machine vision, robotics, and data intelligence to act on the physical world at industrial scale [Intello Labs, retrieved 2024]. The company's primary wedge is digitizing the subjective, manual grading of agricultural produce, replacing visual inspection with an image-based system delivered through a smartphone app [Unreasonable Group].

The product portfolio is segmented into three operational layers. The first is quality digitization, powered by the company's computer vision models which the company states are trained on a dataset of over one billion images [Intello Labs, retrieved 2024]. The second layer is physical automation, represented by hardware products such as the Intello FruitSort optical sorter and the Intello Fruit Packer, an automated weighing and packing machine [Intello Labs, retrieved 2024]. The third layer is market infrastructure, exemplified by Digital Mandi, a platform that facilitates quality-backed auctions and electronic payments [The Industry Outlook], [Krishijagran].

Public traction claims provide a quantitative lens on the system's deployment. The company reports having processed over 100,000 metric tonnes of fresh produce with a grading accuracy exceeding 95% [Intello Labs, retrieved 2024]. A more commercially oriented claim of a 20%+ price realization uplift for customers is also made on the company website [PUBLIC].

Data Accuracy: YELLOW -- Core product descriptions and some metrics are confirmed by the company website. Hardware deployment claims and commercial impact metrics lack third-party verification.

Market Research

Intello Labs operates at the intersection of agtech, computer vision, and trade infrastructure, targeting a market driven by efficiency demands and sustainability mandates. The global post-harvest loss and waste management market was valued at $83.8 billion in 2023 and is projected to grow at a compound annual growth rate of 6.5% through 2033 [Future Market Insights, 2024]. The broader agricultural robots market is forecast to reach $20.3 billion by 2028 [MarketsandMarkets, 2024].

Metric Value
Post-Harvest Loss Management Market (2023) $83.8B
Agricultural Robots Market (2028 Projection) $20.3B

Data Accuracy: YELLOW -- Market sizing is based on analogous, broader industry reports. Specific TAM/SAM for AI produce grading is not publicly available from third-party sources.

Competition and Substitutes

Intello Labs competes in a fragmented global market where its primary advantage is a mobile-first, AI-driven approach to a historically manual process, positioned against established hardware incumbents and a new wave of software-focused agtech startups.

Company Positioning Stage / Funding Notable Differentiator Source
Intello Labs AI-powered grading & quality monitoring Series A (~$5.9M) Proprietary "billion+ image dataset" [Intello Labs, retrieved 2024]
AgShift AI-based food quality inspection Venture Stage Audit trails and regulatory compliance [Competitor list]
Clarifruit Computer vision for quality control Venture Stage Standardized, objective quality scoring [Competitor list]
Tomra / Buhler Optical sorting and food processing Public Companies Global service networks and scale [Competitor list]
Muddy Boots Software Traceability and farm management Acquired Farm-level data capture [Competitor list]

Data Accuracy: YELLOW -- Competitor profiles and Intello's positioning are confirmed by multiple industry lists and the company's own materials.

Opportunity

The headline opportunity is to become the default physical AI infrastructure for fresh produce, a category-defining platform that sits at the intersection of quality grading, sorting automation, and digital trade. The company's thesis, articulated as "Physical AI for Fresh Produce," positions its technology as a system for the physical movement of goods [Intello Labs].

Data Accuracy: YELLOW -- Core technical and volume metrics are self-reported by the company. Growth scenario catalysts are cited from press reports and company materials.

Sources

  1. [Intello Labs, retrieved 2024] Intello Labs | https://www.intellolabs.com/
  2. [Unreasonable Group] Intello Labs - an Unreasonable company | https://unreasonablegroup.com/ventures/intello-labs
  3. [AgFunder News] Food quality startup Intello Labs closes $5.9m Series A round | https://agfundernews.com/food-quality-startup-intello-labs-closes-5-9m-series-a-round-from-agfunders-grow-others
  4. [LinkedIn] Intello Labs | LinkedIn | https://in.linkedin.com/company/intellolabs
  5. [Seedtable] Intello Labs Company Information | https://www.seedtable.com/startups/Intello_Labs-XKEJKPW
  6. [Getlatka] Getlatka | https://getlatka.com/
  7. [Tracxn, 2026] Intello labs - 2026 Company Profile | https://tracxn.com/d/companies/intellolabs/__3H54pCbcqR2Mv2XGvgb0jNXD2Ulm86moqaQVELlaZ9A
  8. [Newsroompost] Newsroompost | https://www.newsroompost.com/
  9. [The Industry Outlook] The Industry Outlook | https://theindustryoutlook.com/
  10. [Krishijagran] Krishijagran | https://english.krishijagran.com/
  11. [AgroTech Space, 2025] INTERVIEW | Milan Sharma on How Intello Labs is Using AI | https://agrotech.space/2025/11/11/interview-milan-sharma-intello-labs-ai/
  12. [Future Market Insights, 2024] Future Market Insights | https://www.futuremarketinsights.com/
  13. [MarketsandMarkets, 2024] MarketsandMarkets | https://www.marketsandmarkets.com/

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