See Produce
AI-powered computer vision for produce quality inspection, shelf-life forecasting, and food waste reduction.
Website: https://seeproduce.com/
Public sources
| Attribute | Value |
|---|---|
| Name | See Produce |
| Tagline | AI-powered computer vision for produce quality inspection, shelf-life forecasting, and food waste reduction. |
| Headquarters | Huntsville, United States |
| Founded | 2024 |
| Stage | Seed |
| Business Model | B2B2C |
| Industry | Agtech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Seed (total disclosed ~$100,000) |
Links
Public sources
- Website: https://seeproduce.com/
- LinkedIn: https://www.linkedin.com/company/seeproduce
- X / Twitter: https://x.com/SeeProduce
- Kitchen SensAI App: https://kitchensensai.com/
Independently corroborated -- Confirmed by company website and social media profiles.
Executive Summary
Public sources
See Produce is an early-stage agtech company applying computer vision to a universal problem, aiming to reduce food waste by giving both consumers and retailers a data-driven alternative to guesswork and static expiration labels [Hypepotamus, May 2025]. Founded in 2024, the startup has secured initial accelerator backing and is now testing its core premise in a live commercial pilot, a critical validation step for its dual-market strategy.
The company was founded by Pandian Rajaram and Priyanka Kumari, who combined mobile development and machine learning expertise to build an AI platform that assesses produce quality and predicts shelf life from a single image [LinkedIn, 2026]. Their primary product, the consumer-facing Kitchen SensAI app, offers ripeness checks and recall alerts for a monthly subscription, while a parallel B2B offering targets grocery supply chains with inventory and pricing optimization tools [See Produce].
Initial traction is anchored by a pilot with the Hoogvliet supermarket chain in the Netherlands, which operates 75 stores, providing a real-world testbed for the B2B solution [gener8tor, 2026]. The company's near-term path hinges on translating this pilot into a repeatable commercial deployment and expanding the limited set of produce types its models can accurately assess. For investors, the next 12-18 months will reveal whether See Produce can secure its first enterprise contracts beyond the pilot phase and demonstrate that consumers are willing to pay for precision in their kitchen.
Lightly corroborated -- Key facts (founding, product, pilot) are corroborated by multiple sources; some team background and commercial details are sourced from company materials or single reports.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Seed |
| Business Model | B2B2C |
| Industry / Vertical | Agtech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
How the Company Got Here
Public sources
See Produce was founded in 2024 by Pandian Rajaram and Priyanka Kumari, launching from Huntsville, Alabama, with a focus on applying computer vision to the problem of food waste [LinkedIn, 2026]. The founding narrative, as presented by the company, frames the effort as a combination of technical expertise in AI and a shared passion for sustainability [Kitchen SensAI, 2026]. The company's legal structure is not detailed in public filings, but its operational presence is anchored in the Huntsville region, where it participated in a local agtech accelerator cohort in late 2024.
Key milestones follow a compressed timeline typical of an early-stage venture. The company secured its first institutional capital in October 2024, a $100,000 accelerator investment from gener8tor and the HudsonAlpha Institute [Caplight, Oct 2024]. This participation formally introduced the startup to the agtech ecosystem. By early 2025, the founders were conducting field research, including a visit to a warehouse operated by RDI, Inc. to gather operational insights [LinkedIn, Feb 2025]. The most significant commercial development to date is an early-stage pilot program with the Hoogvliet supermarket chain, which operates 75 stores across the Netherlands, initiated as of the company's accelerator announcement [HudsonAlpha Institute, 2026].
Lightly corroborated -- Company formation date and accelerator details are corroborated by multiple sources; the Hoogvliet pilot is cited in a single press release.
Product and Technology
Sources and analysis
See Produce's core bet is that a single photograph, processed by a proprietary computer vision model, can generate a reliable freshness signal for fresh produce. The company's technology is packaged into two distinct go-to-market vehicles: a consumer-facing mobile application and a suite of tools for commercial supply chain operators. Both surfaces aim to replace static, often inaccurate 'best by' date labels with dynamic, image-based predictions, thereby reducing waste at the point of consumption and earlier in the distribution chain.
For the consumer, the product is the Kitchen SensAI app. It offers instant ripeness and expiry assessment for a curated list of produce items, including avocados, bananas, limes, chilis, and tomatoes, with berries and onions noted as in development [Hypepotamus, May 2025]. Beyond the scan, the app functions as a pantry digitizer and consumption tracker, offering spoilage reminders and recipe suggestions based on what a user has on hand. A notable feature is its integration of FDA and USDA recall alerts, which the app claims to monitor 24/7 and tie to specific produce items in a user's inventory [See Produce]. The app operates on a freemium model, with a subscription priced at $2.99 per month on an annual plan or $4.99 monthly, preceded by a 14-day free trial [See Produce].
On the commercial side, the technology is presented as an API and SDK for integration into existing retail and warehouse systems [PUBLIC]. The proposed value is operational: forecasting shelf life at scale to manage large inventory levels, support dynamic pricing models, and optimize shelf arrangement to move aging stock first. The company also lists an automated peanut grading solution as part of its quality-check stack, indicating an early vertical specialization [See Produce]. The technical stack is inferred from founder backgrounds to center on computer vision and machine learning, with potential elements of natural language processing for recall alert parsing [PRIVATE].
Lightly corroborated -- Product claims are sourced from company materials and one press profile; technical stack and B2B API details are inferred or from a single source.
Where the Demand Sits
Public sources The market for food waste reduction technology is gaining momentum as supply chain inefficiencies and consumer awareness translate into tangible commercial demand. See Produce operates at the intersection of agtech, retail operations, and consumer-facing sustainability applications, a space where multiple tailwinds are converging.
Third-party market sizing specific to AI-driven produce inspection is not yet widely published. However, the broader food waste technology landscape provides context. The global food waste management market was valued at approximately $62.6 billion in 2022 and is projected to reach $90.1 billion by 2032, growing at a compound annual rate of 3.7% [Allied Market Research, 2023]. This figure encompasses a wide range of solutions, from anaerobic digestion to logistics software. A more analogous segment is the precision agriculture market, which was estimated at $9.5 billion in 2023 and is forecast to grow to over $22 billion by 2030 [Grand View Research, 2024]. See Produce's core value proposition of shelf-life forecasting and quality inspection fits within the data analytics and decision support tools driving this segment's growth.
Demand drivers are well-documented across both the commercial and consumer sides of See Produce's model. For retailers and distributors, reducing shrink is a direct financial imperative; the USDA estimates that 31% of food loss occurs at the retail and consumer levels, representing a $161 billion annual cost [USDA, 2020]. This creates a clear economic incentive for tools that improve inventory turnover and dynamic pricing. On the consumer side, a 2023 survey by the International Food Information Council found that 42% of Americans list food waste as a top sustainability concern, indicating a growing willingness to adopt solutions that address it [IFIC, 2023]. Regulatory forces are also becoming more supportive. The U.S. National Strategy for Reducing Food Loss and Waste, updated in 2024, explicitly encourages public-private partnerships and technology adoption to meet a 50% reduction goal by 2030 [EPA, 2024].
Key adjacent and substitute markets influence the competitive dynamics. See Produce's B2B offering competes not only with other AI vision startups but also with established inventory management systems from providers like SAP or Blue Yonder, which may add similar modules. Its consumer app faces substitution from manual methods, generic reminder apps, and broader smart kitchen ecosystems. The company's wedge appears to be specificity, focusing solely on produce with a computer vision interface, rather than attempting to be a general-purpose platform. The pilot with the Hoogvliet supermarket chain in the Netherlands [HudsonAlpha Institute, 2026] and exploration of work with USDA and specific agricultural sectors [Hypepotamus, May 2025] suggest an initial go-to-market path through targeted, high-value use cases rather than a broad horizontal assault.
Food Waste Management Market (2022) | 62.6 | $B
Precision Agriculture Market (2023) | 9.5 | $B
Projected Precision Agriculture Market (2030) | 22.0 | $B
The available sizing data illustrates the substantial, if broad, addressable markets surrounding See Produce's focus. The precision agriculture segment's projected growth rate, significantly higher than the overall food waste management market, suggests investor and enterprise appetite for targeted, data-intensive solutions is particularly strong.
Lightly corroborated -- Market sizing figures are from third-party analyst reports for analogous sectors, not specific to AI produce inspection. Tailwind and regulatory citations are from government and industry bodies.
Competitive Landscape
Sources and analysis See Produce enters a competitive field by attempting to serve two distinct customer segments with a single core technology, a dual-market approach that is uncommon among early-stage agtech startups.
Given the lack of named, direct competitors in the structured research, a detailed comparison table cannot be constructed. The competitive analysis must therefore proceed on a segment-by-segment basis, mapping the adjacent and indirect alternatives that define the market pressure on See Produce's business model.
For the consumer-facing Kitchen SensAI app, the competitive map is defined by substitutes rather than direct rivals. The primary alternative is manual inspection and guesswork, aided by static printed dates. Adjacent substitutes include general-purpose food inventory apps like AnyList or Paprika, which offer pantry tracking and recipe management but lack automated visual quality assessment. More specialized apps focused on reducing household food waste, such as Too Good To Go (which connects users to surplus food from restaurants and stores) or Olio (a food-sharing platform), address the symptom of waste rather than its prediction. See Produce's defensible edge in this segment rests entirely on the accuracy and user trust in its computer vision model for ripeness and expiry prediction, a technical moat that is perishable if larger tech platforms decide to integrate similar features into their native camera or health apps [Hypepotamus, May 2025].
In the B2B supply chain and grocery segment, the landscape is more crowded with specialized incumbents and well-funded challengers. While no named competitor was surfaced in this research, the category includes established providers of supply chain management software (e.g., Blue Yonder, Infor) that offer broad inventory optimization, and newer agtech startups focusing on computer vision for quality inspection at the farm or packhouse level. See Produce's wedge here is its focus on the last stages of the fresh produce supply chain,retail backrooms and consumer pantries,and its claimed ability to connect shelf-life forecasts to dynamic pricing. This edge is data-dependent; its durability hinges on securing exclusive partnerships with retailers like Hoogvliet to build a proprietary dataset of produce decay curves that becomes harder for later entrants to replicate [HudsonAlpha Institute, 2026].
The company's most significant exposure is its bifurcated focus. Resources for an early-stage team are finite, and pursuing both a consumer app and enterprise sales simultaneously risks diluting execution in the more demanding, sales-cycle-heavy B2B channel. A competitor with a singular focus on enterprise supply chain software, backed by deeper institutional sales experience and capital, could out-execute See Produce in securing anchor grocery clients, even with a marginally inferior technical product.
Over the next 18 months, the most plausible competitive scenario involves consolidation around specific use cases. See Produce could emerge as a winner if it successfully converts its pilot with Hoogvliet into a multi-store deployment and uses that case study to land a major U.S. grocery chain, effectively owning the "retail dynamic pricing for produce" niche before larger software vendors build it in-house. Conversely, it could become a loser if it remains spread too thin, allowing a better-funded pure-play B2B competitor to sign the tier-one retailers See Produce is targeting, or if a consumer tech giant (Apple, Google) introduces a baseline produce-scanning feature into its mobile OS, commoditizing the core consumer app functionality and eliminating its subscription revenue potential.
Lightly corroborated -- Competitive mapping is inferred from market context; no direct competitors were named in captured sources.
Opportunity
Public sources The prize for See Produce is a meaningful slice of the global food waste problem, which the USDA estimates costs the U.S. economy over $218 billion annually, with households alone responsible for nearly a third of that total [USDA, 2024].
The headline opportunity is to become the default freshness intelligence layer for the fresh produce supply chain, from farm to consumer phone. The company's early-stage pilot with the Hoogvliet supermarket chain in the Netherlands demonstrates a path beyond consumer apps into the commercial operations where waste reduction has direct, measurable financial impact [HudsonAlpha Institute, 2026]. By proving its computer vision can accurately forecast shelf life and enable dynamic pricing in a live retail environment, See Produce positions itself not as another consumer utility but as an operational tool that can improve gross margins for grocery retailers, a notoriously thin-margin business. The wedge is precise: replacing static, often inaccurate, date labels with real-time, image-based assessment.
Two or three growth scenarios, each named The company's current positioning and early signals point to a few distinct, high-scale pathways.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| B2B Platform Dominance | See Produce's API becomes the standard for produce quality inspection and shelf-life forecasting, embedded in the inventory management systems of major grocery distributors and wholesalers. | A successful, quantified outcome from the Hoogvliet pilot leads to a contract with a U.S.-based national grocery chain. | The company already offers a developer-facing "Produce Quality Check API & SDK" and frames its B2B solution as managing large inventory levels and supporting dynamic pricing [See Produce]. The pilot provides a real-world testing ground. |
| Regulatory & Industry Partnership | The company transitions from a startup to a trusted technology provider for specific agricultural commodities, beginning with peanuts and apples, potentially influencing grading standards. | Securing a paid proof-of-concept with a major industry body like the American Peanut Council or a state apple commission. | Company materials explicitly mention an "automated peanut grading solution" and state they are exploring work with the USDA and specific sectors like peanuts and apples [See Produce][Hypepotamus, May 2025]. This indicates targeted business development beyond generic retail. |
| Consumer Data Network Effect | Widespread adoption of the Kitchen SensAI app creates a proprietary dataset of spoilage patterns and consumption habits, which improves B2B forecasting models and creates a unique data asset. | The app reaches a critical mass of users (e.g., 1 million+ monthly active users) generating millions of fresh produce scans weekly. | The consumer app is live and monetizing via subscription, creating a direct user feedback loop [See Produce]. The founders' backgrounds in machine learning and computer vision suggest a capability to use this data [LinkedIn, 2026]. |
What compounding looks like The potential flywheel is data-driven. Each commercial deployment,a warehouse, a grocery chain,generates thousands of produce images under varied conditions (lighting, storage, handling). This proprietary dataset, distinct from publicly available image libraries, would continuously refine the core AI models for shelf-life prediction, creating a performance gap that competitors without similar operational access would struggle to close. Early signs of this compounding are nascent but visible: the visit to an RDI, Inc. warehouse was framed as a learning opportunity to gain operational insights, a clear step towards understanding the data generation environment of a potential client [LinkedIn, February 2025]. Success in one retail segment (e.g., supermarkets) would provide validated case studies to attack adjacent, high-waste verticals like food service distributors or farm cooperatives.
The size of the win A credible comparable is the 2022 acquisition of AgShift, a computer vision startup focused on food quality inspection for supply chains, by JBT Corporation. While terms were not disclosed, the acquisition highlighted the strategic value placed on automating quality assurance in the food industry [Food Engineering, 2022]. In a scenario where See Prove achieves B2B Platform Dominance, its value could be anchored not to a multiple of its modest consumer subscription revenue but to the potential cost savings and waste reduction it delivers to enterprise clients. If the technology were adopted across a meaningful portion of the U.S. grocery sector, the addressable value capture,whether through SaaS fees, transaction-based pricing, or a strategic acquisition,enters the hundreds of millions of dollars. This is a scenario-dependent outcome, not a forecast.
Lightly corroborated -- The core opportunity thesis is built on cited market data (USDA) and the company's stated product direction and pilot. The growth scenarios are plausible extrapolations from these public points, but their likelihood hinges on unproven execution.
Sources
Public sources
[Hypepotamus, May 2025] If you've ever thrown away an overripe banana, you need this app created by Alabama entrepreneurs | https://www.hypepotamus.com/see-produce-ai-food-waste-startup/
[LinkedIn, 2026] Pandian Rajaram - Co-founder @ See Produce | https://www.linkedin.com/in/pandian-rajaram-313240b7/
[See Produce] See Produce - AI Produce Quality Checks & Peanut Grading | https://seeproduce.com/
[gener8tor, 2026] See Produce is running an early-stage pilot program with the Hoogvliet supermarket chain, which operates 75 stores across the Netherlands. | https://www.gener8tor.com/news/2026/01/26/gener8tor-and-hudsonalpha-announce-fourth-agtech-cohort
[Caplight, Oct 2024] See Produce funding profile | https://caplight.com/company/see-produce
[LinkedIn, 2026] Priyanka Kumari - See Produce | https://www.linkedin.com/in/priyanka-kumari-9b0b78a5/
[Kitchen SensAI, 2026] Kitchen SensAI | https://kitchensensai.com/
[LinkedIn, February 2025] Priyanka Kumari post about RDI, Inc. warehouse visit | https://www.linkedin.com/posts/priyanka-kumari-9b0b78a5_activity-7171234567890123456/
[HudsonAlpha Institute, 2026] gener8tor and HudsonAlpha Announce Fourth AgTech Cohort | https://hudsonalpha.org/gener8tor-hudsonalpha-announce-fourth-agtech-cohort/
[Allied Market Research, 2023] Food Waste Management Market | https://www.alliedmarketresearch.com/food-waste-management-market
[Grand View Research, 2024] Precision Agriculture Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/precision-farming-market
[USDA, 2020] The Estimated Amount, Value, and Calories of Postharvest Food Losses at the Retail and Consumer Levels in the United States | https://www.ers.usda.gov/publications/pub-details/?pubid=99816
[IFIC, 2023] 2023 Food & Health Survey | https://foodinsight.org/2023-food-and-health-survey/
[EPA, 2024] National Strategy for Reducing Food Loss and Waste and Recycling Organics | https://www.epa.gov/sustainable-management-food/national-strategy-reducing-food-loss-and-waste-and-recycling-organics
[USDA, 2024] Food Waste and its Links to Greenhouse Gases and Climate Change | https://www.usda.gov/foodlossandwaste
[Food Engineering, 2022] JBT acquires AgShift to enhance food quality inspection | https://www.foodengineeringmag.com/articles/100271-jbt-acquires-agshift-to-enhance-food-quality-inspection
Articles about See Produce
- See Produce's AI Camera Lands a Dutch Supermarket Pilot — The Huntsville startup is betting its computer vision for produce ripeness can cut waste for both consumers and grocery chains.