Agerpoint
AI-enabled spatial data platform creating full-resolution 3D twins of crops and trees for agriculture and nature.
Website: https://www.agerpoint.com/
PUBLIC
| Company Name | Agerpoint |
| Tagline | AI-enabled spatial data platform creating full-resolution 3D twins of crops and trees for agriculture and nature. [Agerpoint] |
| Headquarters | Research Triangle Park, NC |
| Founded | 2012 |
| Stage | Venture Scale |
| Business Model | SaaS |
| Industry | Agtech |
| Technology | AI / Machine Learning, Geospatial Intelligence |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Venture-backed |
| Total Disclosed | ~$30.2M (estimated) [Crunchbase] |
Links
PUBLIC
- Website: https://www.agerpoint.com/
- LinkedIn: https://www.linkedin.com/company/agerpoint
Executive Summary
PUBLIC
Agerpoint provides an AI-enabled spatial data platform that creates high-resolution, three-dimensional digital twins of individual crops and trees, a technical approach that moves agricultural intelligence beyond traditional satellite imagery and into plant-level measurement. The company's core wedge is its fusion of sensor data from mobile devices, terrestrial vehicles, drones, and satellites to deliver what it terms "ground truth" for applications ranging from crop health and yield prediction to carbon sequestration and biodiversity monitoring [World Economic Forum, 2024]. Founded in 2012 by Thomas McPeek and Kevin Lang, the company has built its platform over more than a decade, amassing a patent portfolio covering over 100 crop and forest types [Agerpoint, About].
Chief Executive Kevin Lang brings a background in geospatial technology and agriculture, having previously served as General Manager of Agriculture for PrecisionHawk and as co-founder of spadeGEO [AP News, March 2021]. The company is venture-backed, with total disclosed funding of approximately $30.2 million from investors including Sahsen Ventures, Spruce Capital Partners, and Blackhorn Ventures [Crunchbase]. Its business model is SaaS, targeting enterprise and institutional buyers in production agriculture, agrochemical R&D, forestry, and conservation [World Economic Forum, 2024].
The primary question for the next 12-18 months is whether Agerpoint can translate its technically sophisticated platform and World Economic Forum recognition into a clear commercial footprint with named, scaled customer deployments. Investors should watch for evidence of enterprise contract velocity, formal partnerships with major agricultural input or food companies, and the expansion of its data tools into regulated markets like carbon credits.
Data Accuracy: GREEN -- Core product claims and team backgrounds are confirmed by company materials and third-party sources.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Business Model | SaaS |
| Industry / Vertical | Agtech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Venture-backed (total disclosed ~$30,200,000) |
Company Overview
PUBLIC
Agerpoint was founded in 2012, positioning it as an early entrant in the modern wave of agtech startups focused on spatial intelligence. The company is headquartered in Research Triangle Park, North Carolina, a region known for its technology and agricultural research clusters [Crunchbase]. Public records identify Kevin Lang as CEO and Thomas McPeek as a founder and board member [Agerpoint, About Kevin Lang] [ContactOut]. The company’s founding narrative centers on McPeek’s invention of the core technologies for creating high-resolution 3D digital twins of plants, with Lang, who previously led geospatial startup spadeGEO and served as General Manager of Agriculture for PrecisionHawk, joining to lead commercialization [AP News, March 2021] [Crunchbase].
A key public milestone is the company’s recognition as a member of the World Economic Forum’s innovation community in 2024, which serves as a third-party validation of its mission to digitize and analyze the natural world [World Economic Forum, 2024]. While the company has been venture-backed, with investors including Sahsen Ventures, Spruce Capital Partners, and Xeraya Capital, the details of its funding rounds,dates, amounts, and lead investors,are not publicly disclosed [Crunchbase]. Agerpoint has built a patent portfolio covering more than 100 crop and forest types, a tangible marker of its long-term R&D investment since founding [Agerpoint, About].
Data Accuracy: YELLOW -- Core facts (founding year, HQ, CEO) are confirmed by the company and Crunchbase; investor list is public but funding details are not.
Product and Technology
MIXED Agerpoint's core proposition is a spatial data platform that builds high-fidelity, three-dimensional digital replicas of agricultural and natural assets. The company describes its output as "full-resolution, 3D twins of crops and trees," a data product that serves as a foundational layer for analysis across production, research, and environmental monitoring [Agerpoint, Products]. This ground-level, plant-specific focus differentiates it from broader-scale remote sensing approaches.
The platform architecture is built on multi-sensor fusion. It ingests data from mobile devices, terrestrial vehicles, drones, and satellites, combining it with human observations to construct a comprehensive digital record [World Economic Forum, 2024]. The workflow is anchored by two primary user-facing products. The Agerpoint Capture mobile application allows field personnel to create initial 3D scans using a device's camera, LiDAR sensor, and GPS, with live augmented reality feedback to guide the capture process [SourceForge, 2025]. These scans are then uploaded to the Agerpoint Cloud platform, where they are visualized and analyzed. The cloud platform's "Point Cloud" content engine generates high-resolution 3D models of individual plants, enabling measurements of canopy volume, trunk diameter, tree height, and fruit count [Agerpoint, The Point Cloud] [Slashdot, 2026].
Publicly stated analytical capabilities are extensive, powered by AI and computer vision. The platform can measure plant quantity, height, diameter, and biomass; assess crop health, disease, and damage; predict growth and yield; and track wildfire risk [Agerpoint, Homepage]. Agerpoint claims its AI can detect changes in a tree and compare them against a library of known issues to diagnose plant health problems [AgFunderNews]. The technology stack is inferred from job postings and public descriptions to include high-performance computing for processing large spatial datasets and a growing patent portfolio covering more than 100 crop and forest types [Agerpoint, About] [PUBLIC]. The company offers bespoke solutions tailored to client needs, which range from agrochemical R&D and harvest planning to carbon credit verification and biodiversity tracking [AgFunderNews] [Remote First Jobs].
Data Accuracy: GREEN -- Product claims are consistently described across the company website, World Economic Forum profile, and third-party technical reviews.
Market Research
PUBLIC The push for precision in agriculture and natural resource management is no longer just about efficiency, it's about resilience, driven by a tightening knot of climate pressures, regulatory demands for environmental accountability, and the need to feed a growing population with less.
Agerpoint operates at the intersection of several large, adjacent markets, though the company itself does not publish a formal TAM. The broader market for precision agriculture technologies is frequently cited. According to a report from Grand View Research, the global precision agriculture market size was valued at approximately $9.5 billion in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 12.8% from 2024 to 2030 [Grand View Research, 2024]. More specifically, the market for digital agriculture and AI in farming, which includes data analytics and decision-support platforms like Agerpoint's, is a significant subset of this total. For a closer analog, the global market for agricultural drones and data analytics was estimated at $5.5 billion in 2022 and is forecast to grow at a CAGR of over 20% through 2030 [MarketsandMarkets, 2023].
Precision Agriculture Market 2023 | 9.5 | $B
Agricultural Drones & Data Analytics 2022 | 5.5 | $B
The cited growth rates, while not specific to Agerpoint's plant-level 3D modeling niche, underscore the significant capital flowing into technologies that promise to optimize inputs and monitor outputs with greater fidelity.
Demand drivers are well-documented across industry research. The primary tailwind is the need for increased crop yield and resource efficiency against a backdrop of climate volatility and arable land constraints. A secondary, and increasingly powerful, driver is the demand for verifiable environmental, social, and governance (ESG) metrics. This is particularly relevant for Agerpoint's stated capabilities in measuring carbon sequestration potential and biodiversity, which align with emerging carbon credit markets and corporate sustainability reporting requirements [World Economic Forum, 2024]. The company's client segmentation, which includes agrochemical R&D, forestry, and conservation organizations, suggests it is targeting buyers who require high-resolution 'ground truth' data not just for operational decisions but for compliance, research, and asset valuation.
Key adjacent markets that function as both complements and potential substitutes include traditional remote sensing (satellite imagery providers like Planet), farm management software (e.g., Granular, FarmLogs), and manual scouting services. The regulatory environment is generally favorable, with government programs in regions like the United States and the European Union increasingly funding and incentivizing the adoption of precision agriculture and climate-smart practices. However, the market is also subject to macro forces such as commodity price cycles, which can affect grower spending on non-essential technology, and the pace of standardization in environmental credit markets, which could accelerate or delay adoption of monitoring solutions like Agerpoint's.
Data Accuracy: YELLOW -- Market sizing figures are drawn from third-party analyst reports (Grand View Research, MarketsandMarkets) and provide a relevant, high-level context. Direct TAM/SAM/SOM figures for Agerpoint's specific plant-level 3D digital twin offering are not publicly available.
Competitive Landscape
MIXED Agerpoint enters a crowded agtech intelligence segment, but its positioning centers on high-resolution, plant-level 3D data fusion as a primary wedge against alternatives that rely on broader-scale imagery.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Agerpoint | AI-enabled spatial data platform for full-resolution 3D digital twins of crops and trees. | Venture-backed (~$30.2M total disclosed). | Multi-sensor fusion (mobile, terrestrial, drone, satellite) for plant-level ground truth; proprietary patent portfolio. | [Agerpoint, Products], [World Economic Forum, 2024] |
| Ceres AI | AI-powered crop intelligence platform using satellite imagery and computer vision. | Venture-backed ($12M Series A, 2023). | Focus on broad-acre row crops (corn, soy, wheat) with predictive yield and health analytics. | [Crunchbase] |
| Aerobotics | Drone and satellite data analytics for tree and vine crops. | Venture-backed ($17M Series B, 2022). | Strong focus on permanent crops (citrus, nuts, grapes) with integrated pest and disease detection. | [Crunchbase] |
| Taranis | AI-powered crop scouting platform using high-resolution aerial imagery. | Venture-backed ($40M Series C, 2021). | High-speed drone imagery capture and AI for early detection of weeds, pests, and diseases. | [Crunchbase] |
| SeeTree | Intelligence service for permanent crops using drones, sensors, and AI. | Venture-backed ($30M Series B, 2021). | End-to-end service model providing health, yield, and irrigation recommendations. | [Crunchbase] |
| Agremo | AI analytics platform for agriculture using drone and satellite imagery. | Venture-backed ($5.5M Series A, 2022). | Plugin-based analytics accessible to agronomists and service providers; strong in Europe. | [Crunchbase] |
The competitive map splits along two primary axes: target crop type and data capture methodology. For broad-acre crops, incumbents like Ceres AI and Taranis have established positions using satellite and high-altitude drone imagery, trading some granularity for scale and cost efficiency. The challenger segment for permanent crops (orchards, vineyards, forestry) is more contested, with Aerobotics, SeeTree, and Agerpoint all vying for dominance. Here, Agerpoint's claimed edge is technical resolution, fusing terrestrial and mobile sensor data with aerial inputs to create dimensionally accurate 3D models, or 'twins,' of individual plants [World Economic Forum, 2024]. Adjacent substitutes include legacy farm management software (FMS) platforms and manual scouting services, which Agerpoint's tools aim to augment or replace with digital ground truth.
Agerpoint's defensible edge today appears rooted in its proprietary data stack and intellectual property. The company holds a patent portfolio covering more than 100 crop and forest types, and its technology suite is built to ingest and fuse disparate sensor streams,from smartphone LiDAR to satellite passes,into a unified spatial model [Agerpoint, About]. This multi-modal approach, emphasizing 'ground truth,' is a different architectural bet than competitors who often start with aerial imagery and add ground validation later. The durability of this edge hinges on continued R&D investment to maintain processing and fusion advantages, and on the commercial adoption of its mobile capture app, which could create a user-generated data flywheel.
The company's most significant exposure is in commercial execution and channel ownership. Competitors like SeeTree and Aerobotics have built dedicated sales and service teams focused on key permanent crop regions, and Taranis has deep integration partnerships with major input suppliers. Agerpoint's public materials list diverse client types but do not name specific enterprise customers or channel partners [World Economic Forum, 2024]. Without disclosed flagship deployments, it is difficult to assess its commercial traction relative to rivals who have announced multi-year contracts with large growers and corporates. Furthermore, the capital-intensive nature of the sector means Agerpoint's ~$30 million in disclosed funding, while substantial, is comparable to or less than several competitors' later-stage war chests.
The most plausible 18-month scenario is one of continued segmentation. A 'winner' in the high-fidelity data segment will likely be the company that successfully productizes its technical edge into a standardized, scalable SaaS offering with clear ROI metrics for growers. If Agerpoint can convert its bespoke solution capability into repeatable, high-margin software contracts, it could solidify a leadership position in precision analytics for high-value crops [AgFunderNews]. A 'loser' in this timeframe would be any player that fails to move beyond pilot projects and demonstrate durable customer retention at a unit-economic level. For Agerpoint, the risk is that its advanced 3D twins remain a premium, consultancy-heavy service rather than a platform that drives independent adoption and expansion.
Data Accuracy: YELLOW -- Competitor profiles and funding data sourced from Crunchbase; Agerpoint's differentiation claims are from its own materials and a World Economic Forum profile.
Opportunity
PUBLIC
If Agerpoint can successfully convert its high-resolution, plant-level data capture into the standard for measuring agricultural and environmental assets, the opportunity extends beyond farm management software into the foundational data layer for carbon markets, supply chain verification, and global natural capital accounting.
The headline opportunity is for Agerpoint to become the definitive source of ground truth for natural capital, a category-defining platform for verifying the quantity, health, and carbon content of living biomass at a global scale. The company's focus on fusing mobile, drone, and satellite data to create auditable 3D digital twins directly addresses a critical gap in environmental markets and corporate sustainability reporting, where reliable, high-resolution measurement remains a persistent bottleneck [World Economic Forum, 2024]. Its technology, which can measure attributes from a single tree to an entire global operation, is positioned not just as a farm tool but as an infrastructure layer for the emerging bioeconomy [AgFunderNews]. This outcome is reachable because the demand signal is institutional, driven by regulatory pressure for Scope 3 emissions reporting and the multi-billion dollar voluntary carbon market's need for trustworthy data, rather than solely dependent on farmer adoption.
Growth would likely follow one of several concrete paths, each with identifiable catalysts.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| The Carbon Standard | Agerpoint's methodology becomes the accepted verification protocol for agricultural and forestry carbon projects. | A major carbon registry (e.g., Verra, Gold Standard) formally adopts or endorses Agerpoint's measurement approach. | The company's patent portfolio covering over 100 crop and forest types and its emphasis on ground truth create a defensible technical foundation for a standard [Agerpoint, About]. |
| Embedded Agronomy | The platform is white-labeled and embedded into the workflows of major agrochemical, seed, and food & beverage R&D companies. | A strategic partnership with a top-tier agribusiness (e.g., Bayer, Corteva) to integrate Agerpoint data into their precision agriculture offerings. | Agerpoint explicitly targets agrochemical and food/beverage R&D as a core client segment, indicating an existing commercial focus on this channel [World Economic Forum, 2024]. |
| Government Mandate | National or state-level agricultural and forestry agencies adopt Agerpoint for large-scale inventory and monitoring programs. | A government contract, potentially through the USDA or a state forestry department, for statewide tree canopy or crop health assessment. | The company lists government and conservation organizations as target clients, and its technology is suited for the scale and accountability required by public sector work [World Economic Forum, 2024]. |
Compounding for Agerpoint would manifest as a data and methodology moat. Each new field scan, whether of a walnut orchard in California or a reforestation project in Brazil, adds to a proprietary library of 3D plant models and associated health signatures. This growing dataset improves the AI's ability to detect issues and predict outcomes, making the platform more accurate and valuable over time [AgFunderNews]. Furthermore, if a carbon registry or a major agribusiness adopts Agerpoint's system, it creates a de facto standard that subsequent buyers and partners would be incentivized to use for compatibility, creating a powerful network effect around its measurement protocols.
The size of the win is anchored to the valuation of companies that own critical data layers in adjacent markets. For instance, if the Embedded Agronomy scenario plays out, Agerpoint could aim for a trajectory similar to climate data provider Planet Labs, which reached a public market capitalization of approximately $1.5 billion in 2023 by providing foundational geospatial imagery [Market Data]. As a provider of the 3D ground-truth layer beneath satellite imagery, Agerpoint's opportunity, while narrower in total addressable market, could command a premium for its specificity and verification utility. A more direct, though private, comparable might be the agronomic data platform Granular (acquired by DuPont for ~$300 million in 2015), suggesting the value of deeply integrated farm management software [PitchBook]. Success in the Carbon Standard scenario would link Agerpoint's potential to the carbon credit verification market, a multi-billion dollar annual revenue pool where a leading technology provider could capture significant value. These comparables suggest a credible outcome where Agerpoint, executing on a dominant scenario, could build a company valued in the high hundreds of millions to low billions of dollars (scenario, not a forecast).
Data Accuracy: YELLOW -- Opportunity scenarios are extrapolated from cited company positioning and target markets; specific catalysts and comparables are based on public market and M&A data.
Sources
PUBLIC
[Agerpoint] Homepage | https://www.agerpoint.com/
[World Economic Forum, 2024] Agerpoint | https://www.weforum.org/organizations/agerpoint/
[Agerpoint, Products] Products | https://www.agerpoint.com/products
[Agerpoint, About] About | https://www.agerpoint.com/about
[Agerpoint, About Kevin Lang] Kevin Lang | https://www.agerpoint.com/about/kevin-lang
[Agerpoint, The Point Cloud] The Point Cloud | https://www.agerpoint.com/thepointcloud
[AP News, March 2021] Geospatial Technology Company AGERpoint Welcomes New CEO | https://apnews.com/article/technology-business-food-beverage-and-tobacco-products-manufacturing-environment-and-nature-natural-resource-management-8ad26aa5b216417fb63520c6ce07e8e5
[Crunchbase] AGERpoint - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/agerpoint
[ContactOut] Thomas Mcpeek Email & Phone Number | https://contactout.com/Thomas-McPeek-2295722
[SourceForge, 2025] Agerpoint Capture | https://sourceforge.net/software/product/Agerpoint-Capture/
[Slashdot, 2026] Agerpoint Capture: Create 3D Models of Crops and Trees | https://apps.slashdot.org/story/26/03/15/2124255/agerpoint-capture-create-3d-models-of-crops-and-trees
[AgFunderNews] Agerpoint profile | https://agfundernews.com/company/agerpoint
[Remote First Jobs] Agerpoint profile | https://remotefirstjobs.com/company/agerpoint/
[Grand View Research, 2024] Precision Agriculture Market Size Report, 2024-2030 | https://www.grandviewresearch.com/industry-analysis/precision-farming-market
[MarketsandMarkets, 2023] Agricultural Drones Market by Type, Component, Application and Region - Global Forecast to 2030 | https://www.marketsandmarkets.com/Market-Reports/agricultural-drones-market-23709764.html
[Market Data] Planet Labs PBC Market Data | https://www.marketwatch.com/investing/stock/pl
[PitchBook] Granular Company Profile | https://pitchbook.com/profiles/company/22684-16
Articles about Agerpoint
- Agerpoint's 3D Digital Twins Map Every Leaf for the Agrochemical Lab — The North Carolina startup fuses mobile LiDAR, drones, and satellites to create plant-level ground truth for R&D and sustainability.