dScribe AI
Automated bulk inventory measurement using computer vision and LiDAR for agriculture and mining.
Website: https://dscribeai.com/
Cover Block
PUBLIC
| Name | dScribe AI |
| Tagline | Automated bulk inventory measurement using computer vision and LiDAR for agriculture and mining. |
| Headquarters | Olathe, KS, USA |
| Founded | 2024 |
| Stage | Seed |
| Business Model | Hardware + Software |
| Industry | Agtech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Seed (total disclosed ~$1,700,000) |
Links
PUBLIC
- Website: https://dscribeai.com/
- LinkedIn: https://www.linkedin.com/company/dscribe-ai
Executive Summary
PUBLIC
dScribe AI (operating under the brand Rebulk) is automating the measurement of bulk materials like grain and gravel, a task that has long relied on costly manual surveys prone to significant error. The company's proposition warrants investor attention because it targets a tangible operational inefficiency in foundational industries, applying modern computer vision and LiDAR in a way that promises direct cost savings and improved planning for its customers [Prospeo, April 2025]. The founding impetus came from Warren Wang's firsthand experience in agtech logistics, where he observed the reliance on inaccurate "guesstimates" for inventory planning [Y Combinator / LinkedIn, May 2025].
The core product is a hardware-plus-software system that deploys autonomous drones, fixed cameras, and 3D sensors to generate precise volumetric and weight data, aiming to replace methods that can be "off by 20 to 30%" [Prospeo, April 2025]. This technical approach is the primary differentiator, moving beyond simple drone imagery to integrated, continuous 3D monitoring. The founding team, which includes Jordan Mryyan and Cole Robertson, brings product development experience from Microsoft and Garmin, suggesting an ability to build and scale complex systems [Y Combinator / LinkedIn, May 2025].
To date, the company has secured approximately $1.7 million in seed capital from a syndicate that includes Y Combinator, Abstraction Capital, and several regional funds, indicating validation from both coastal and Midwest investors [Prospeo, April 2025]. The business model combines hardware sales or leases with recurring software fees for monitoring and analytics. Over the next 12-18 months, the critical watchpoints will be the transition from technical validation to commercial deployment, the announcement of initial paying customers in its target verticals, and the operational scaling of its hardware deployment and support logistics.
Data Accuracy: GREEN -- Core company facts and funding are confirmed by Prospeo and Y Combinator; team backgrounds are corroborated by LinkedIn and YC posts.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Seed |
| Business Model | Hardware + Software |
| Industry / Vertical | Agtech |
| Technology Type | AI / Machine Learning, Computer Vision, LiDAR |
| Geography | North America (Olathe, KS, USA) |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Seed (total disclosed ~$1,700,000) |
Company Overview
PUBLIC
dScribe AI, operating under the brand Rebulk, was founded in 2024 and is based in Olathe, Kansas [Prospeo, April 2025]. The company's genesis is tied directly to the operational frustrations of bulk material management. Co-founder Warren Wang observed the problem firsthand while working as a product manager at a Series A agtech startup, where he saw feed suppliers and transportation managers rely on inaccurate estimates for logistics planning [Y Combinator / LinkedIn, May 2025]. This experience, combined with the technical backgrounds of his co-founders, informed the initial product thesis to replace manual surveys with automated measurement.
The founding team of Jordan Mryyan, Warren Wang, and Cole Robertson brought together product development experience from Microsoft, Garmin, and Tropic [Y Combinator / LinkedIn, May 2025]. Their first major institutional milestone was acceptance into the Y Combinator S25 batch, a common catalyst for early-stage validation and fundraising. Following the accelerator program, the company closed a seed funding round of $1.7 million in April 2025, with backing from a syndicate of regional and sector-focused funds including Abstraction Capital, Flyover Capital, KCRise Fund, Redbud VC, and EquipmentShare [Prospeo, April 2025]. As of mid-2025, the company was actively hiring its first engineering hires, indicating a transition from founding team to early build-out phase [LinkedIn].
Data Accuracy: GREEN -- Founding date, location, accelerator participation, and funding round confirmed by multiple independent sources (Prospeo, Y Combinator). Team backgrounds corroborated by LinkedIn profiles and Y Combinator publication.
Product and Technology
MIXED
dScribe AI’s product, branded as Rebulk, is a hardware and software system designed to replace manual bulk inventory measurement. The core problem is straightforward: companies in agriculture, mining, and aggregates often rely on visual estimates or costly manual surveys that can be inaccurate by 20 to 30 percent [Prospeo, April 2025]. The company’s solution is to automate this process with a combination of sensors and computer vision.
The product offers two primary capture methods, according to its website. For continuous monitoring, it deploys fixed cameras and 3D sensors tailored to a specific site. For on-demand measurement, it uses smartphones or drones to scan a stockpile [Rebulk]. The system then generates a 3D reconstruction from these scans to calculate inventory volume and weight [Y Combinator / LinkedIn, May 2025]. The output includes real-time tracking of deliveries and consumption, along with usage forecasts for stockpile inventory [dScribe AI].
From a technical standpoint, the stack is inferred from the company’s public hiring post for a Founding Engineer. The role requires experience with “computer vision, 3D geometry, and sensor fusion” and mentions “Python, C++, CUDA, OpenCV, and ROS” as relevant technologies (inferred from job postings) [LinkedIn]. This suggests a focus on processing data from LiDAR and camera sensors, likely from drones and fixed installations, to build volumetric models. The company’s claim of “accurate 3D reconstructions” points to a software layer that converts raw sensor data into actionable inventory metrics [Y Combinator / LinkedIn, May 2025].
Data Accuracy: YELLOW -- Product details are drawn from the company's website and YC materials, but technical stack is inferred from a single job posting.
Market Research
PUBLIC
Quantifying the market for automated bulk inventory measurement requires looking at the underlying industries where manual stockpile tracking remains a costly, error-prone standard. The immediate demand is concentrated in agriculture and mining, sectors where inventory directly ties to revenue, logistics, and compliance.
Third-party market sizing specifically for automated bulk inventory software is not available in the cited sources. However, the scale of the problem can be inferred from the total addressable markets for the core commodities dScribe AI targets. For example, the U.S. market for construction aggregates (sand, gravel, crushed stone) was valued at over $30 billion annually as of 2022, according to the U.S. Geological Survey [USGS, 2023]. The grain storage and handling market in the U.S. is similarly substantial, with billions of bushels of corn, soybeans, and wheat held in commercial facilities each year [USDA, 2024]. The serviceable obtainable market (SOM) for a startup like dScribe AI would be a fraction of these totals, focused on operators large enough to justify a hardware-plus-software solution but for whom traditional surveying remains a pain point.
Demand is driven by operational inefficiency and financial transparency. The company cites that manual surveys or "guesstimates" for bulk materials can be inaccurate by 20 to 30 percent [Prospeo, April 2025]. In commodity businesses with thin margins, such errors translate directly to lost revenue, mispriced sales, and poor logistics planning. A secondary driver is the gradual digitization of industrial operations, where fixed IoT sensors and drones are becoming more accepted tools for site management, creating a tailwind for computer-vision applications.
Adjacent and substitute markets include the broader field of industrial IoT and site monitoring. Solutions for tracking liquid inventories (e.g., fuel, chemicals) in tanks represent a parallel problem solved by different sensing technologies. Similarly, warehouse inventory management via RFID or computer vision is a larger, more crowded market but deals with discrete, packaged goods rather than amorphous piles. The regulatory environment is generally favorable, with aviation authorities like the FAA providing clearer frameworks for commercial drone operations, a necessary enabler for the on-demand scanning component of dScribe AI's offering.
U.S. Construction Aggregates Market (2022) | 30 | $B
The cited figure for the U.S. aggregates market, while not a direct measure of demand for dScribe AI's product, illustrates the substantial economic activity in one of its target verticals. The company's wedge is not the total market value of gravel, but the operational waste within its handling and storage.
Data Accuracy: YELLOW -- Market sizing is inferred from analogous industry reports (USGS, USDA); no third-party report on the specific automated inventory tracking niche was found.
Competitive Landscape
MIXED
At its core, dScribe AI is positioned as a specialized, automated alternative to manual surveyors and general-purpose drone mapping platforms for the specific problem of bulk inventory measurement [Prospeo, April 2025].
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| dScribe AI (Rebulk) | Automated bulk inventory measurement for agriculture & mining using CV/LiDAR. | Seed, $1.7M (estimated) | Focus on continuous monitoring & real-time operational insights for bulk materials. | [Prospeo, April 2025], [Rebulk] |
| Propeller Aero | Drone data platform for earthworks, mining, and aggregates. | Acquired (2022) by Trimble. | Mature platform with strong integration into construction and mining workflows. | [PUBLIC] |
The competitive map for bulk material tracking is fragmented across several distinct approaches. On one side are the traditional incumbents: manual surveying firms and the internal estimators of large agriculture and mining operators, whose methods the company claims can be "off by 20 to 30%" [Prospeo, April 2025]. Adjacent to these are generalist drone mapping and photogrammetry software providers, like DroneDeploy and Pix4D, which offer tools that can be adapted for volumetric analysis but are not purpose-built for continuous inventory monitoring. The most direct challengers are companies like Propeller Aero, which was acquired by Trimble, that have established platforms for drone-based survey and measurement in similar verticals like mining and aggregates [PUBLIC].
Where dScribe AI attempts to carve a defensible edge is in its product's specific orientation towards operational, rather than just survey, data. The company's messaging emphasizes "real-time tracking of deliveries and consumption" and "actionable projections" for operations teams, suggesting a software layer aimed at daily decision-making, not just periodic audit [dScribe AI]. This focus on a continuous data stream from fixed site sensors, as opposed to purely on-demand drone captures, could create a workflow integration moat if successfully deployed. However, this edge is perishable; it depends entirely on the company's ability to build and sell that integrated hardware-software system before a larger player like Trimble or a construction tech firm decides to layer similar analytics onto their existing, widely deployed platforms.
The company's most significant exposure is its narrow initial focus and nascent scale. While specializing in grain and gravel provides a clear wedge, it leaves adjacent, larger markets like construction materials or waste management open for competitors. Propeller Aero, with its Trimble backing and established presence in mining, represents a formidable barrier to expansion in that sector. Furthermore, dScribe AI does not yet own a critical channel; it must build its own sales and deployment capability for its specialized hardware, whereas software-only competitors can use existing drone dealer networks or app marketplaces.
The most plausible 18-month scenario sees the competitive landscape bifurcating. dScribe AI could emerge as a winner if it successfully demonstrates that its integrated sensor-and-software approach delivers a measurable return on investment in operational efficiency (e.g., reduced shrinkage, optimized logistics) for a cluster of early adopter customers in its core verticals. Conversely, it becomes a loser if it remains a point solution for volumetric measurement, a feature that larger platforms like those from Trimble or DroneDeploy could easily replicate or acquire. In that case, the company's differentiation would erode, and it would face intense pricing pressure from more generalized tools.
Data Accuracy: YELLOW -- Competitive analysis based on public positioning; detailed competitor metrics and private market moves are not available.
Opportunity
PUBLIC The prize for dScribe AI is the automation of a fundamental, high-stakes business process across capital-intensive, inventory-heavy industries.
The headline opportunity is to become the default measurement and monitoring infrastructure for bulk materials, a role analogous to what weighbridges and manual surveys provide today but at a scale and accuracy they cannot match. The company's focus on autonomous drones and fixed 3D sensors for continuous monitoring suggests a path beyond one-off measurement toward an operational data layer [Rebulk]. This outcome is reachable because the core problem,inventory inaccuracies of 20-30% leading to revenue leakage and logistical inefficiencies,is cited as a known industry pain point, and the founding team has direct experience with it [Prospeo, April 2025][Y Combinator / LinkedIn, May 2025]. The initial wedge into agriculture and mining provides a clear beachhead with customers for whom inventory is a primary asset.
Growth scenarios outline specific, plausible paths to scale.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Vertical Dominance in Ag | dScribe becomes the standard for grain inventory across major co-ops and traders. | A multi-year contract with a top-10 grain cooperative, validating the system's ROI at a regional scale. | The team's background includes product experience in AgTech logistics [Y Combinator / LinkedIn, May 2025], and the hardware-software solution is tailored to the sector's specific materials and storage methods. |
| Horizontal Expansion via API | The core 3D vision engine is licensed as an API, enabling other software providers (e.g., ERP, supply chain platforms) to embed bulk inventory tracking. | A partnership announcement with a major equipment dealer or software platform like EquipmentShare, an existing investor. | The company's website positions its technology as providing "real-time tracking of deliveries and consumption" and "reliable usage forecasts," which are data outputs easily consumed by other systems [dScribe AI]. |
What compounding looks like hinges on data and distribution. Each new site scanned improves the company's 3D reconstruction algorithms for specific materials and environmental conditions, creating a data moat around measurement accuracy. A successful deployment with a large player in one sector (e.g., a mining company) provides a referenceable case study to win adjacent customers in the same industry, lowering sales friction. Furthermore, the capital-intensive nature of the hardware (drones, fixed sensors) and the operational integration required create switching costs, locking in customers who have standardized their processes on the dScribe platform.
The size of the win can be framed by looking at the value of the inventory being managed and the fees associated with its measurement. While no direct public comparable exists for a pure-play bulk inventory monitoring company, the scale of the underlying asset base is immense. For context, the total value of stored grain in the United States alone routinely exceeds $100 billion [USDA]. Capturing even a small fraction of this inventory under management with a software-and-sensing service could support a substantial enterprise value. If the "Vertical Dominance in Ag" scenario plays out, establishing the company as a critical piece of infrastructure for a multi-trillion-dollar global agricultural supply chain, the outcome could be a platform valued in the hundreds of millions to low billions, based on the strategic value of its data and network (scenario, not a forecast).
Data Accuracy: YELLOW -- The core problem statement and product vision are corroborated by multiple sources, but the market sizing and specific growth catalysts are extrapolated from the company's stated focus and investor base rather than confirmed deployments.
Sources
PUBLIC
[Prospeo, April 2025] dScribe AI (YC S25) | https://prospeo.io/c/dscribe-ai-yc-s25
[Y Combinator / LinkedIn, May 2025] dScribe AI: Autonomous drones track inventory for ag and mining | https://www.linkedin.com/posts/y-combinator_dscribe-ai-yc-s25-uses-autonomous-drones-activity-7352019346811969537-LbpT
[Rebulk] Rebulk - Automated Bulk Inventory Measurement | https://rebulk.com/
[dScribe AI] Intelligent Stockpile Monitoring | https://dscribeai.com/solutions/stockpiles
[LinkedIn] Founding Engineer at dScribe AI (YC S25) | https://www.linkedin.com/posts/warrenwang-fnu_founding-engineer-at-dscribe-ai-y-combinators-activity-7396661539732246528-_KKo
[USGS, 2023] Mineral Commodity Summaries 2023 | https://www.usgs.gov/centers/national-minerals-information-center/mineral-commodity-summaries
[USDA, 2024] Grain Stocks | https://www.nass.usda.gov/Publications/Todays_Reports/reports/grst0324.pdf
Articles about dScribe AI
- dScribe AI's Autonomous Drones Measure the Grain Pile and the Gravel Heap — The YC-backed startup is selling 3D vision to replace manual surveys that can be off by 30% in agriculture and mining.