DataFarming
A practical, easy-to-use digital platform for planning, monitoring, and analyzing crops and pastures.
Website: https://datafarming.com.au/
Cover Block
Open sources
| Field | Value |
|---|---|
| Name | DataFarming |
| Tagline | A practical, easy-to-use digital platform for planning, monitoring, and analyzing crops and pastures. [datafarming.com.au] |
| Headquarters | Toowoomba, Australia [Crunchbase] |
| Founded | 2017 [DPI Queensland, Feb 2025] |
| Stage | Seed [Crunchbase] |
| Business model | SaaS |
| Industry | Agtech |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2), Tim Neale and Peta Neale [Businesswire, July 2022] |
| Funding label | Undisclosed |
| Total disclosed | A$500,000, based on the disclosed November 2022 pre-Series A round only [Digital QLD] |
Links
Open sources
- Website: https://datafarming.com.au/
- LinkedIn: https://au.linkedin.com/company/datafarmingaustralia
What an Investor Needs First
PUBLIC DataFarming is a Toowoomba-based agtech SaaS company building a cloud software layer that turns satellite imagery and farm data into practical field decisions for growers and agronomists, and it merits attention because public evidence points to meaningful international reach in a category where ease of use is often the constraint, not data availability [DPI Queensland, February 2025] [GRDC] [datafarming.com.au, retrieved 2024]. Founded in 2017 by Tim and Peta Neale, the company has positioned itself around a simple proposition: low-friction digital agronomy for crop and pasture planning, monitoring, and analysis, delivered through a web platform rather than a heavy enterprise GIS workflow [DPI Queensland, February 2025] [Businesswire, July 2022] [Future Farming].
The core product is the Digital Agronomist™, described in public sources as a cloud-based platform for crop monitoring, paddock analysis, multi-year comparisons, automatic zoning, and variable-rate application files, with a freemium entry point alongside an enterprise Agri-Intelligence offering [GRDC] [Digital QLD] [datafarming.com.au, retrieved 2024]. That differentiation appears less about proprietary hardware and more about packaging globally available satellite data into a workflow that growers can use without complex setup, which is a sensible wedge if customer adoption is driven by agronomic usability rather than raw imagery access [Future Farming] [datafarming.com.au, retrieved 2024].
The founding team brings relevant domain context, particularly through Tim Neale, who public profiles describe as having more than 20 years of satellite mapping experience and prior work in precision-agriculture businesses and R&D projects [Spiral Blue] [DPI Queensland, February 2025]. Public materials identify Peta Neale as co-founder and business partner, though the broader executive bench is less visible in the available record [Businesswire, July 2022].
On traction, the strongest recent public datapoint is a Queensland government profile stating that as of February 2025 DataFarming had 15,000 customers in more than 50 countries and was analyzing data for 45,000 farms and 250,000 fields [DPI Queensland, February 2025]. Earlier scale claims, including serving 40% of Australian grain farms and processing 35 million acres in 2022, come from a company announcement and should be read more cautiously until independently corroborated [Businesswire, July 2022].
Funding looks active but not fully transparent. Public sources show early backing from Ruralco in 2018 and GrainInnovate in 2019, a reported A$500,000 pre-Series A through Investible in November 2022, and a 2026 capital raise announcement involving Artesian, GrainInnovate, GrainCorp, and private investors, while a proposed A$5 million Series A in 2022 was described as launched rather than clearly closed [Greenmount Press] [GRDC] [Digital QLD] [GrowAg] [Startup Daily] [LinkedIn].
Over the next 12 to 18 months, the key watchpoints are whether the company can convert broad geographic usage into durable enterprise revenue, whether integrations and premium workflows deepen beyond the freemium motion, and whether future fundraising disclosures clarify round size and investor conviction [Digital QLD] [DPI Queensland, February 2025] [LinkedIn]. The public record supports interest in the adoption story; it is less conclusive on monetization depth and capitalization history.
Partially corroborated -- Relies on a mix of government, industry, company, and funding-platform sources, with recent traction partly corroborated but several scale and product claims still company-led.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Industry / Vertical | Agtech |
| Technology Type | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Undisclosed |
Inside the Company
PUBLIC
DataFarming presents as a Toowoomba-based agronomy software company with a relatively narrow claim set in public records: it was founded in 2017, operates from Queensland, and sells a SaaS product for crop and pasture planning, monitoring, and analysis [Crunchbase] [datafarming.com.au, retrieved 2024]. The public company description is consistent across its website and Crunchbase profile, which both frame the business around a cloud platform rather than on-farm hardware or services-heavy consulting [datafarming.com.au, retrieved 2024] [Crunchbase].
The founding record is also fairly clean. Crunchbase lists Tim Neale and Peta Neale as founders, and the company website describes the platform in practical terms, centered on digital agronomy workflows delivered through the web [Crunchbase] [datafarming.com.au, retrieved 2024]. Publicly available materials used here do not establish a legal entity name with filing-level precision, so the safer reading is simply that DataFarming operates as an Australian agtech business headquartered in Toowoomba [Crunchbase] [datafarming.com.au, retrieved 2024].
Chronology is limited but usable. The earliest anchor in the source set is the 2017 founding date on Crunchbase, followed by the website's current positioning of the company as a digital platform for planning, monitoring, and analyzing crops and pastures [Crunchbase] [datafarming.com.au, retrieved 2024]. That is enough to show a business that has stayed within the same product lane over time, even if the public record in this section does not support a more detailed milestone map from incorporation through later commercial expansion [Crunchbase] [datafarming.com.au, retrieved 2024].
Verified against public records -- Confirmed by Crunchbase and company website.
Under the Hood
MIXED
The product story is fairly clear in public materials, even if the underlying technical stack is not. DataFarming presents itself as a cloud-based digital agronomy platform built to make satellite-derived farm analysis easier to use in day-to-day operations, with the Digital Agronomist™ positioned as the core product surface [GRDC] [datafarming.com.au, retrieved 2024]. Public descriptions consistently frame the software around practical field decisions rather than specialist GIS workflows, with tools for crop monitoring, paddock analysis, multi-year comparisons, automatic zoning, and variable-rate application files [GRDC] [Future Farming].
That positioning is reinforced by the product features DataFarming describes on its site and in partner coverage. The platform says users can plan, monitor, and analyze crops and pastures without downloads or complex setup, identify soil zones, track plant health, detect weeds and disease, review yield maps, and generate variable-rate files for on-farm use [datafarming.com.au, retrieved 2024]. Public materials also state that the platform can import yield data automatically through integrations including John Deere and other systems, which matters because it suggests DataFarming is trying to sit inside existing farm-management workflows rather than operate as a standalone imagery viewer [datafarming.com.au, retrieved 2024] [Datafarming].
The technical layer that is visible publicly appears to rest on remote sensing and data delivery rather than proprietary hardware. DataFarming has described a freemium product alongside an enterprise-grade Agri-Intelligence offering, and in 2022 it announced a partnership with Pixxel to bring hyperspectral satellite technology to Australian farmers, with the stated aim of improving crop-health monitoring [Digital QLD] [Businesswire, July 2022]. That said, the public record here remains company-led on feature depth and performance, and no verified demo materials in the supplied research establish model architecture, sensor fusion methods, or the extent to which AI and machine learning are core to user outcomes versus a supporting analytics layer [Businesswire, July 2022] [datafarming.com.au, retrieved 2024].
Claim stands unchecked -- Product capabilities are supported largely by company materials and partner or profile coverage, with limited independent technical verification.
Market Research
PUBLIC The market matters now because farm software that turns satellite and machine data into decisions is moving from specialist precision agriculture into a broader productivity and sustainability workflow, and DataFarming is positioned in that transition rather than at the hardware edge [DPI Queensland, Feb 2025] [Future Farming].
Public source material does not provide a defensible TAM, SAM, or SOM for DataFarming’s category, and this section stays inside that limit. What the available evidence does show is an addressable use case that spans growers, agronomists, advisers, and larger agricultural enterprises that need field-level monitoring, zoning, and variable-rate outputs delivered through a web application rather than a heavier GIS stack [Digital QLD] [GRDC]. In practice, that places DataFarming inside the digital agronomy and precision agriculture software market, with adjacency to farm management software, remote sensing analytics, and variable-rate application tools [GRDC] [Future Farming].
The clearest demand signal is not a third-party market size figure, but repeated evidence that ease of use is the purchase wedge. GRDC described the product as a cloud-based Digital Agronomist platform combining satellite imagery with crop monitoring, paddock analysis, multi-year comparisons, automatic zoning, and variable-rate application files [GRDC]. Future Farming framed the proposition more plainly, as cheap and easy access to satellite imagery for growers who historically struggled to operationalize it [Future Farming]. Queensland’s Department of Primary Industries then reported 15,000 customers across more than 50 countries, with data analysis covering 45,000 farms and 250,000 fields as of February 2025, which suggests demand is broader than a narrow Australian pilot market even if revenue conversion is not disclosed [DPI Queensland, Feb 2025].
Macro and regulatory tailwinds are visible, even if the sources stop short of quantifying them. The DPI Queensland profile explicitly tied low-cost data tools to productivity and sustainability outcomes, which is consistent with a farm environment under pressure to lift yields, manage input costs, and document agronomic decisions more rigorously [DPI Queensland, Feb 2025]. The product features cited by GRDC and DataFarming, especially zoning, crop-health monitoring, yield-map ingestion, and variable-rate file generation, map directly to input-efficiency use cases that tend to strengthen when fertilizer, chemical, and fuel costs are volatile [GRDC] [datafarming.com.au].
Substitute markets are also relevant because DataFarming is not selling into a greenfield category. Growers can address parts of the same workflow through agronomy consultants, machinery OEM software, broader farm-management systems, or point tools for sensing and irrigation [Future Farming] [datafarming.com.au]. That makes the commercial question less about whether the market exists and more about whether a lightweight satellite-first interface can displace fragmented incumbent workflows at low enough cost and low enough training burden.
| Public market-relevant signals | Figure | Scope | Source |
|---|---|---|---|
| Customers | 15,000 | More than 50 countries, as of Feb. 2025 | [DPI Queensland, Feb 2025] |
| Farms analyzed | 45,000 | As of Feb. 2025 | [DPI Queensland, Feb 2025] |
| Fields analyzed | 250,000 | As of Feb. 2025 | [DPI Queensland, Feb 2025] |
| Earlier company-reported footprint | 120,000 fields | 50 countries, 2022 | [Businesswire, July 2022] |
| Earlier company-reported coverage | 35 million acres | 2022 | [Businesswire, July 2022] |
Taken together, the table points to a category where adoption evidence is easier to verify than market sizing. The stronger read-through is that digital agronomy demand appears real and geographically broad, while the weaker point is that third-party market-definition data is absent from the current source set.
Claim stands unchecked -- This section relies on one government profile for third-party traction context, plus company and partner descriptions for market framing; no independently sourced TAM/SAM/SOM figures were available in the provided research.
Competition and Substitutes
MIXED
DataFarming appears to sit in the practical farm-decision layer of agtech, competing less with raw connectivity vendors or hardware sensor makers than with software products that turn agronomic data into field actions for growers and advisers [DPI Queensland, February 2025] [GRDC].
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| DataFarming | Cloud-based digital agronomy platform for crop and pasture planning, monitoring, and analysis | Seed / undisclosed funding rounds publicly referenced | Simple web-based access to satellite imagery, zoning, multi-year comparisons, and variable-rate files | [DPI Queensland, February 2025] [GRDC] [Digital QLD] |
| CropX | Farm management and agronomy technology competitor named in sector mapping | Not established in the provided public sources | Named competitor with broader farm data positioning in irrigation and soil monitoring contexts | [Tracxn] |
| Agworld | Farm management and agronomy workflow competitor named in sector mapping | Not established in the provided public sources | Named competitor with established workflow presence in digital farm planning | [Tracxn] |
| Sentek | Agricultural sensing competitor named in sector mapping | Not established in the provided public sources | Hardware-oriented sensing exposure rather than pure satellite-led software | [Tracxn] |
| WiseConn | Irrigation and farm automation competitor named in sector mapping | Not established in the provided public sources | Automation-oriented offering that can substitute for parts of farm decision software spend | [Tracxn] |
The field breaks into three buckets. Incumbent workflow systems such as Agworld compete for the agronomist desktop and the farm record, which matters because the system that holds the agronomy plan often becomes the system that distributes recommendations [Tracxn]. Challengers such as CropX push a more integrated agronomy stack, while adjacent substitutes such as Sentek and WiseConn approach the same budget from sensors, irrigation, or automation, even if they do not mirror DataFarming's product shape exactly [Tracxn].
DataFarming's clearest edge today is usability tied to satellite-based output, not ownership of a proprietary hardware layer. Public descriptions repeatedly frame the product as low-cost, easy to use, and available through a browser, with tools that move from imagery to zoning and variable-rate application files without heavy GIS complexity [DPI Queensland, February 2025] [Future Farming] [datafarming.com.au]. That edge looks real if growers still find incumbent precision-ag workflows too complex, but it is also perishable because software simplicity is easier for competitors to copy than a locked-in hardware network or regulated data asset.
The main exposure is channel control. A competitor that already owns irrigation, sensing, or farm records can bundle decision support into a broader operating system for the farm, which raises switching costs in a way DataFarming's narrower satellite-led wedge may not [Tracxn]. Agworld is the clearest named risk on workflow, while CropX is the cleaner strategic risk if buyers prefer one vendor spanning soil, irrigation, and agronomic insight rather than a specialist analytics layer [Tracxn].
The most plausible 18-month scenario is a continued split market rather than a single winner-take-most outcome. DataFarming is well placed if growers keep favoring lightweight software that converts imagery into immediate paddock actions, especially given its reported footprint of 15,000 customers across more than 50 countries by February 2025 [DPI Queensland, February 2025]. CropX is the winner if integrated, multi-signal agronomy buying consolidates around fuller-stack platforms, while a narrower analytics vendor is the loser if farm software budgets move toward bundled systems controlled by workflow or hardware incumbents [Tracxn].
Reasoned from indirect evidence -- Competitive names are supported by public company-profile sources, but comparative positioning and stage details for peers are only partially corroborated in the provided materials.
Opportunity
PUBLIC
The size of the prize is meaningful if DataFarming can turn a widely used farm decision tool into the default operating layer for satellite-based agronomy across row-crop agriculture in Australia first, then internationally [DPI Queensland, Feb 2025] [GRDC].
The headline opportunity is not merely software for viewing imagery. It is a position at the decision point where growers and agronomists convert satellite data into actions such as zoning, crop monitoring, multi-year paddock analysis, and variable-rate application files [GRDC] [datafarming.com.au]. That matters because the company already appears to have more than a pilot footprint: a Queensland government profile reported 15,000 customers in more than 50 countries, with data analysis across 45,000 farms and 250,000 fields as of February 2025 [DPI Queensland, Feb 2025]. Even allowing for some caution around company-supplied operating metrics, the pattern is clear enough to support a real upside case. A simple web product, a freemium entry point, and field-level agronomy outputs are a credible route to becoming a system of record for parts of on-farm decision-making, especially where legacy GIS tools remain too complex for routine use [Digital QLD] [Future Farming].
The public evidence supports a few distinct paths to scale, and each depends on a different catalyst rather than a generic assumption of category growth.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Australia agronomy default | DataFarming becomes the standard digital layer used by independent agronomists, reseller networks, and grain growers for routine paddock analysis and variable-rate workflows | Existing distribution through Ruralco-related demand and continued adoption among Australian grain producers [Greenmount Press] [Businesswire, July 2022] | The company was built around demand for simple precision-ag tools from agronomists and customers, and public claims indicate meaningful penetration in Australian grain farming [Greenmount Press] [Businesswire, July 2022] |
| Global satellite agronomy utility | The platform extends its low-friction model into more export markets and becomes a common front end for satellite-enabled crop monitoring across mid-market farms | The reported footprint of 50-plus countries and a web-based product that avoids local installation complexity [DPI Queensland, Feb 2025] [datafarming.com.au] | Public sources already place the platform across more than 50 countries, which suggests international usability is not theoretical [DPI Queensland, Feb 2025] |
| Embedded intelligence platform | DataFarming moves upmarket by pairing its core product with enterprise Agri-Intelligence offerings and higher-value data partnerships | Product expansion, enterprise packaging, and partnerships such as Pixxel's hyperspectral imagery [Digital QLD] [Businesswire, July 2022] | The company already markets both a freemium product and an enterprise-grade platform, and external data partnerships can increase analytical depth without requiring DataFarming to own the underlying satellites [Digital QLD] [Businesswire, July 2022] |
The compounding mechanism here is straightforward. A free or low-cost entry product lowers the barrier to first use, field and yield data make the outputs more relevant over time, and agronomists can become repeat distribution nodes if the software shortens the path from imagery to action [Digital QLD] [datafarming.com.au]. Once growers rely on a platform for multi-year comparisons, zoning, and machine-ready application files, the switching cost is not only software familiarity but also the loss of historical field context and workflow continuity [GRDC] [datafarming.com.au]. The earliest sign that this flywheel may already be operating is the combination of broad customer count, field count, and international reach cited by public sources, alongside product claims around direct integrations such as automatic yield-data import from John Deere and other systems [DPI Queensland, Feb 2025] [datafarming.com.au].
The size of the win is harder to pin down because no confirmed market-sizing dataset was provided in the source pack, and no directly comparable public peer with a clean valuation benchmark was included. Even so, the scenario logic is still usable. If DataFarming becomes a leading workflow platform for digital agronomy across tens of thousands of farms globally, with enterprise expansion layered on top of self-serve adoption, the outcome could support a strategic valuation far above a typical domestic vertical SaaS seed company, particularly because the platform sits close to agronomic decisions and machine-execution files rather than passive reporting alone (scenario, not a forecast) [DPI Queensland, Feb 2025] [GRDC] [Digital QLD]. In plain terms, the upside case is a company that owns a durable slice of day-to-day farm operating decisions, not just a data dashboard.
Partially corroborated -- Section relies on one government profile, trade publications, and company materials; the core opportunity case is directionally corroborated, but several scale and product claims remain partly company-sourced.
Sources
Open sources
[datafarming.com.au] DataFarming | Digital agronomy, without the hassle™ | https://datafarming.com.au/
[Crunchbase] DataFarming | Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/datafarming
[DPI Queensland, Feb 2025] Low-cost data tools help farmers improve productivity and sustainability | https://www.dpi.qld.gov.au/news-media/news/low-cost-data-tools
[Businesswire, July 2022] Cloud-Based Agritech Company DataFarming Bringing Pixxel’s Hyperspectral Satellite Technology to Australian Farmers | https://www.businesswire.com/news/home/20220708005010/en/Cloud-Based-Agritech-Company-DataFarming-Bringing-Pixxels-Hyperspectral-Satellite-Technology-to-Australian-Farmers
[GRDC] Shared values drive PA solutions | https://groundcover.grdc.com.au/innovation/industry-insights/shared-values-drive-pa-solutions
[Future Farming] DataFarming aims to offer growers cheap and easy access to satellite imagery | https://www.futurefarming.com/smart-farming/tools-data/datafarming-aims-to-offer-growers-cheap-and-easy-access-to-satellite-imagery/
[Spiral Blue] Space tech: Aussie tech companies cutting satellite data by 99 per cent with space processing | https://www.spiralblue.space/news/space-tech-aussie-tech-companies-cutting-satellite-data-by-99-per-cent-with-space-processing
[Greenmount Press] Ruralco backs DataFarming | https://www.greenmountpress.com.au/download.php?MagID=45&pages=66,67,68
[Digital QLD] Toowoomba agtech startup raises $500k to boost data-driven farming | https://digitalqld.com.au/toowoomba-agtech-startup-raises-500k-to-boost-data-driven-farming/
[GrowAg] Agritech leader DataFarming launches Series A $5M cap raise | https://www.growag.com/article/agritech-leader-datafarming-launds-series-5m-cap-raise
[Startup Daily] Agtech startup DataFarming plants seeds for $5 million raise | https://www.startupdaily.net/topic/ag-tech/agtech-startup-datafarming-plants-seeds-for-5-million-raise/
[LinkedIn] Tim Neale LinkedIn post | https://www.linkedin.com/posts/tim-neale_investment-announcement-activity-7457357062398984193-XaMr
[Tracxn] DataFarming - 2026 Company Profile, Funding & Competitors - Tracxn | https://tracxn.com/d/companies/datafarming/__2hXznTRjJ7FxWl3PTQv-zI9_FyRwW5og1uaFL-VRR1w
Articles about DataFarming
- DataFarming's Satellite Platform Now Serves 15,000 Farms Across 50 Countries — The Toowoomba-based startup, backed by Ruralco and GrainInnovate, has processed data for 35 million acres with its Digital Agronomist platform.