dScribe AI

Cover Block

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

• Website: https://dscribeai.com/
• LinkedIn: https://www.linkedin.com/company/dscribe-ai

The Short Version

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 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 [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)

The Company in Brief

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. 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 [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.

What They Have Built

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 [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 Size and Demand

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.

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.

Metric	Value
U.S. Construction Aggregates Market (2022)	$30B

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.

Who Else Is Fighting for This

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
dScribe AI (Rebulk)	Automated bulk inventory measurement for agriculture & mining using CV/LiDAR.	Seed, $1.7M	Focus on continuous monitoring & real-time operational insights for bulk materials.
Propeller Aero	Drone data platform for earthworks, mining, and aggregates.	Acquired (2022) by Trimble.	Mature platform with strong integration into construction and mining workflows.

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.

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.

Data Accuracy: YELLOW -- Competitive analysis based on public positioning; detailed competitor metrics and private market moves are not available.

Opportunity

The prize for dScribe AI is the automation of a fundamental, high-stakes business process across capital-intensive, inventory-heavy industries. 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].

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

1. [Prospeo, April 2025] dScribe AI (YC S25) | https://prospeo.io/c/dscribe-ai-yc-s25
2. [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
3. [Rebulk] Rebulk - Automated Bulk Inventory Measurement | https://rebulk.com/
4. [dScribe AI] Intelligent Stockpile Monitoring | https://dscribeai.com/solutions/stockpiles
5. [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
6. [USGS, 2023] Mineral Commodity Summaries 2023 | https://www.usgs.gov/centers/national-minerals-information-center/mineral-commodity-summaries
7. [USDA, 2024] Grain Stocks | https://www.nass.usda.gov/Publications/Todays_Reports/reports/grst0324.pdf