Traditional tools are not good enough. Financial Services are crying out for new data and workflow that can help it materially transform the way we lend, insure, finance and allocate capital in (farm)land and global agri now.
The relationship between financial services and the farm(land) economy is a critical one. Financial services are the engine and powerhouse that let people produce, hold, store and protect their wealth in farmland assets.
But this relationship is under threat.
Already, insurers are questioning whether they can afford to underwrite all kinds of farmland assets. Lenders are querying whether they have the right customer mix. Boards have blind spots, with little or no idea or what climate risk even means, as applied to agri-assets. Many are asking whether rural portfolios will provide the returns needed – or whether these same assets will face ruin.
As natural perils rise; as incremental and extreme climate impact takes hold; all entities that invest, lend or insure or do business in agri are essentially dealing with the same basic reality – what it means to “know” your agri client/customer, asset or portfolio.
The problem is, the current pipeline of solutions and data is utterly inadequate and deeply disconnected.
Data science by itself, with its critical ability to see natural resources on or under the surface, is not enough. Neither is climate intelligence in isolation. Aerial, drone and satellite imagery can ‘see’ buildings, but not productivity potential. The “where” and “why” of assets and portfolios aren’t easily visualised. Customer data, and corporate insights, aren’t integrated or embedded with the best new data. Agri-data alone without context, or property boundaries, is insufficient. Pureplay geospatial solutions don’t tell finance what it needs to know.
And there is no solution that’s location-driven, bringing these disparate disciplines and data together in tandem
We are in a massive moment of land transition globally and the domino, “knock-on” effects are mounting.
Tools that we take for granted in consumer and commercial have no equivalent in (farm) land lending, investing, or underwriting. Location intelligence, which has changed how retail, logistics and other industries fundamentally work, is not the norm. Physical risk reporting is bespoke and broken. Teams struggle to verify good from great. Know your customer is essentially done the same way it was 50 years ago – manually or one-dimensional. Digital identity and risk scoring for (farm) land doesn’t exist. Green lending, bonds and premiums can’t grow without access to alternative new data.
And the specialised data and insights that financial services need to do their jobs only trickles through, not piped through at pace.
DAS is on a mission to build a modern SaaS and data product stack for the future of agri-financial services and enterprise.
Almost five years ago, DAS pioneered its vision for rural intelligence – one where we put science into the hands of decision-makers, transforming how decisions are made in the businesses surrounding agriculture for a safer, more resilient, more prosperous, more sustainable world.
Today, DAS’ ambition has evolved, grown and narrowed to an acute area of need - to become the global leader in location intelligence for financial services and agri-enterprise. A world where decision-makers can effortlessly and easily get the multi-dimensional intelligence they need to lend, insure, invest and sell better.
A product-focused fintech, DAS is already the location-intelligence leader in Australia with its rural intelligence and risk platform that leading agri-financial services and enterprises depend on.
DAS hasn’t just digitized 371+M hectares of Australian and New Zealand agricultural land – it has made
it useful for companies like Rabobank, JLL, Cargill, Nutrien and IAG, who all depend on DAS to map, visualize, verify and monitor agri-customers, assets and portfolios in a high-risk, dynamic climate.
Today, Rabobank uses DAS to virtually appraise every single farmland property in its Australian and New Zealand portfolio – easily visualising changes to agri parcels bought & sold, getting comprehensive sales data, and crucial predictors of land value like productivity, rainfall or drought stress.
Cargill uses DAS to automatically map and better understand its customers, enriching its own CRM (Salesforce) with 50+ new data points unique to each customer – including early intelligence on what crops their customers are currently growing, have grown in the past 3+ years, or share of wallet
IAG uses DAS to monitor the biggest agri-insurance portfolio in Australia and New Zealand - bringing greater precision to what’s insured, risk selection and pricing while empowering their frontline teams with automatic reports they can share with clients, including on climate risk, making communities safer.
DAS’ secret sauce and strength lies in its ability to integrate and connect customer data with DAS data, at the point of decision. This in turn empowers workforces with specialised, turbo-charged insight on the agri-customers, assets and portfolios they target.
DAS data and SaaS products are subscription based, with the majority of our revenue coming from multi-year contracts. DAS Data Services completes the picture, with a dedicated earth observation team applying machine learning and AI algorithms to new products and datasets that support our
core growth and risk offerings.
DAS’ “one product, one platform” tech is a unified system of data, workflow, CRM and integration tools.
Over the past 12+ months, DAS has completely reimagined and reframed how we think about our product and technology, so customers can access DAS Intel how they want it, when they want it, in the way they want it.
Today, our category-defining, cloud platform is progressively modular – meaning customers select only the functionality, features, data characteristics and geographic coverage they want.
This functionality is delivered in two primary ways:
Via the main DAS platform itself:
with customers choosing to work in the DAS platform, with all the workflow, visualisation, data input, overlay and reporting capability it delivers or
Via DAS CRM & integration tools:
with customers choosing to work in their own systems – ingesting and enriching the intelligence they already hold with high-value DAS insights.
Many customers choose to work in both. And no matter how enterprise customers choose to access DAS Intel, their rich data is fused, integrated and overlaid with DAS data, creating lock-in and value.
Data Structure
DAS ingests five (5) core categories of data spanning public, commercial, customer, science and our own R&D.
This data structure is agile and scalable – DAS has spent close to five years identifying, translating and deploying datasets that are essential to the way agri-finance operates. We today have the ability to easily identify, ingest, enrich, and integrate datasets from a multitude of sources, providing a fast and seamless route to market.
The more data we add, or our customers add, the more powerful DAS becomes, increasing the flywheel, value and use cases we can deliver.
SaaS Modules, New Extensions & Integrations
In 2018, DAS had around four modules or “hubs” on its platform; by 2020 we were up to seven-plus modules, features and functionality; and by the end of 2022, we’ll be at approximately 15 modules, including our upcoming Portfolio Management and API.
We are now redefining how we go to market, as we build out our full suite of product technology and features.
Our modularised solution is built to “land and expand”, with DAS a linchpin for innovating digitally in financial services and agri-enterprise. The digital entry point is often automation of internal processes
and tasks with associated cost benefits, before moving to improving risk management or enabling targeted growth.
These modules are delivered across four core packages – Explore, Engage, Collaborate & Predict – to support the customer continuum and digitisation curve. The different packages are based on the complexity of requirements, and the value to be derived.
Explore is a view-only option, with basic DAS datasets and the ability to search, assess and generate an automatic report on any asset. Investors and real-estate agents are users.
Engage sees business users add their input to DAS data via sector-specific workflow, DAS has built three (3) sector-specific workflows – valuation or appraisals, insurance plus rural asset or property - all designed to work the way different industry professionals do.
Deeper asset-level views and digital reports combining DAS Intel with client intel are created by users, not just digitizing end-to-end processes but delivering substantial savings and efficiencies.
For instance, customers tell DAS that complex agri-appraisals that used to take days, now take hours. In New Zealand, one lender tells us they’ve empowered hundreds of frontline bankers with our software so they can build better relationships – and translate those relationships into revenue.
A standard data package is offered.
Insurance agents and brokers, bankers and valuers are common Engage users, along with real estate agents. Customers work in the DAS platform under Engage.
Collaborate is defined by seamless data fusion. Not only can users add their own information, images, “pins”, analysis, and intelligence to enrich their own customer knowledge, they can “plug” DAS into their own software systems.
What DAS knows: Our software is simply one tool in our customers’ software ecosystem - and synchronising customer knowledge to deal with traditional siloed systems and fragmented approaches will become even more important.
Collaborate allows any enterprise to “start their DAS journey” easily and simply via new DAS customer data integration tools like Locate – our “plug and play” mapping and data extension that enriches customer or asset profiles already held by our customers.
Originally, DAS required its users to move their data into our own platform to conduct their analysis – now DAS is being built to run within existing CRM software and systems, so this is a significant advance forward. This will soon include a (bi-directional) API.
In future, customers will have the ability to embed DAS into enriched customer account profiles within their CRMs - further increasing the precision, value and accuracy of existing tools like Salesforce.
Collaborate represents a premium DAS data package, inclusive of basic and standard data as well as high-value productivity intelligence like Net Productivity Potential - a science-supported proxy for plant growth and yield.
Entire financial services and agri-enterprises are users of Collaborate - with customers able to work in both the DAS platform and their own systems.
Predict is all about “unfolding the future” via current data analysis.
This takes in our Portfolio Management and Monitoring capability that will soon enable analysis, comparison and benchmarking across entire agri-portfolios.
Predict represents a premium-plus product and data package - all the Collaborate data plus trading intelligence (originally known as the DAS Cropping Hub, which in 2022 delivered predictions months ahead of official government estimates.
Predict also includes DAS “Farm or Risk Scores”, now in development.
The key differentiator for Predict is the ability to look at analysis over entire portfolios, not just individual assets or customers - including climate prediction maps that can be queried and captured; dedicated dashboards; and intelligence that can be integrated with our clients’ own business tools.
Each module or package represents different functionality, as well as different data packages - from basic to standard and premium to premium plus. Any data package can be upgraded to a different package - adding to the flexible and adaptive nature of the DAS “one product, one platform” as a whole.
Some packages build on one another - if you Engage you also get Explore. Collaborate and Predict stand alone but include both Explore and Engage functionality.
Flexibility is core. For instance, Locate “Map”, our entry-level integration tool, can be used by customers who Engage, but must upload and geospatially map their assets or farms first, with the click of a button - something you have to do before you can even begin to integrate or overlay data with climate risk, productivity or sustainability insight.
All module functionality and packages can be supplemented with “add on” DAS data services – for instance, specific earth observation capabilities or custom analysis. Services are primarily used as a driver to “land and expand” in client companies.
DAS believes that every (farm) asset is a polygon to be digitized – spanning vertical, horizontal, customer, time and real-time intelligence.
From this vantage point, we are creating a new, multi-dimensional model and way for our customers to understand their customers.
This “modern digital ID for farmland assets, customers and portfolios” gives any enterprise to “see the polygon that’s important to them”. The DAS approach:
Synchronises what the world’s biggest financial services and agri-enterprises already know about their customers with the highest value data – including building/structures, earth observation, climate, productivity, risk and value
Modernises what it means to “understand your client” in financial services and agri enterprise – delivering a geospatial, digital ID framework, principles, record and knowledge stack for farmland or agri-customers
Gives decision-makers a completely new way to understand and target agri-clients and assets – solving multiple pain points up and down both financial services and agri-enterprises everywhere.
We believe our approach will be a default expectation of the market in the coming years. It:
Redefines what it means to know your agri-client/customer/asset or portfolio
Recognises that modern-day assessment of (farm) land/customers must go beyond traditional metrics like sales data, loan-to-value ratio or claims history to recognise productivity and climate, in tandem with buildings or structures
Is applicable to any (farm) land customer or asset, anywhere in the world, from mega-corporate portfolios to the smallest hobby landholdings.
We are using this model to help some of the world’s largest, most visionary, most complex leaders solve global problems like:
Standardized, common and adaptive global IDs for all (farm)land assets & customers
Standardised Risk Scores/ Risk Scoring system on agri-centric assets for global boards, exec teams and workforces (currently in development)
Better physical risk reporting (enabled by our Portfolio product, in development)
The goal is 100% visibility and understanding of (farm) land assets, portfolios and customers
– including real-time event mapping and traction. Think “see the polygon of your customer”,
down to field or farm level.
Agri-Financial Services is huge – but the DAS offering is not limited to just that. Real estate, input providers, commodity traders, and corporate landholdings – any arable land asset or customer can benefit from DAS tech and model.
There is no equivalent platform in the market globally. No company has the integrated insight that DAS is providing – via its platform that allows you to visualise, map or monitor – or its “plug and play” Locate integration options. That insight is going global - as is DAS.
Proven ability to sell to and work with enterprises at scale. Enterprise sales cycles are long and complex – but DAS has demonstrated it can win and deliver large, multi-year SaaS contracts. New offerings and integrations will offer new ways for customers to buy including an immediate, low-cost entry point. Our guardrails for new customers is that they will deliver greater than $50K revenue per annum, with target ARR of $250K per enterprise customer, per year.
Strong tailwinds. DAS is early on in its journey. Agribusiness is one of the most complex and opaque industries in the world – digitisation is necessary and great but it is finance that fundamentally has the power to reward and change the system. To do that it needs the right data and workflow.
Focus. With the rising plethora of agritech players including a multitude of on-farm technology players, DAS is focused on the ecosystem that supports global agribusiness - including fundamentally changing the way the ecosystem is financed, insured and rewarded. Most investment in agriculture is farmer-centric.
Integration & synchronization. DAS has learnt what makes it so successful – it is not just its SaaS workflow, but the way its data pipeline can be connected and integrated with our customers’ best-in-class knowledge. This is the future – it is about subscription software that DAS sells, but it is also about data as a service offering the same recurring revenue.
Strategic Relationships. No other player has the relationships DAS has. This includes industry leaders like Rabobank and IAG, as well as a partnership with the CSIRO, Australia's National Science Agency and one of the largest multidisciplinary science and technology organisations in the world. These relationships feed into the DAS product cycle, ensuring we scale global SaaS and data products. That is the phase DAS is in now.
Speed & scalability of its data pipeline. DAS has spent considerable time scoping what’s important and what’s not when it comes to agri-finance and agri-enterprise specific data. This data is easily piped into DAS’ own offerings, meaning DAS can replicate, speed and scale faster.
Globally-focused. DAS is focused on scaling globally, having proven out its product in selected markets – the vision from the start – along with the biggest problems agri-financial services and lending is seeking to solve globally. This is informing our US strategy, as we seek to strengthen and grow our product-market fit and focus on repeatable sales. We focus on the largest 10,000 agri-enterprises and financial institutions in the world. DAS 2021 entry into New Zealand was used to create a playbook for global expansion.
Productised. Every customer has a unique set of questions and objectives – but DAS is focused on only building what can be scaled across geographies and markets – with any “add on” services only undertaken if of strategic value. DAS is a product-focused company – we offer multiple categories of products and use cases from the one system.
We deeply understand the work of agri-finserv and agri-enterprise teams. We care a lot about helping those teams avoid manual or low value work so they can focus on higher-value work like risk management or targeted growth, all the way through to bringing new business products and models to market.
What Gap does DAS meet in the market?
Our products, B2B Enterprise SaaS and data, ensure that insurers, investors, banks and agri-centric enterprises everywhere – anyone who is invested in the nascent asset that is arable land – can map, visualise and monitor those assets or customers seamlessly, and in a connected, integrated way.
Our product is the only product to offer integrated view that delivers in tandem:
Climate intelligence
Agri intelligence
Location intelligence
Productivity intelligence
Sales intelligence
Structures intelligence
Public domain intelligence
Location intelligence has already changed how retail, logistics and other industries work by bringing the digital and physical together. DAS is now bringing that same capability to (agri) financial services – what we call “putting science into the hands of decision makers”.
How Big is This?
DAS sits at the intersection of a series of massive markets.
From banking and insurance to investment management to agri-real estate, financial services – in tandem with the world’s most important agri-enterprises – are realizing that they need new tools and data to improve efficiency, take advantage of opportunities and manage a growing plethora of risks enveloping the landscape. This includes:
Financial Services: A mega market projected to reach at least $28.5 trillion by 2025. Many global finserv markets are experiencing extraordinary growth rates – for example, the AU finserv market was worth $10.9 trillion alone in June 2021 (Roy Morgan).
Geospatial Intelligence: The global geospatial analytics market size was valued at $60.94 billion in 2020, and is projected to reach $209.47 billion by 2030, growing at a CAGR of 13.0% from 2021 to 2030.
Risk Analytics: The market size of Climate Risk Analystics alone is valued at $40 billion today, with climate adaptation expected to double to $2 trillion over the next 5 years. While this space is heating up, it is not well synchronized with agriculture-specific attributes.
Environmental Monitoring: This market size is expected to be worth $26.7 Billion by 2025
Agritech: This market size is expected to be worth US$ 41 Billion by 2027.
Agribusiness itself is a $5 trillion global industry that is only getting bigger.
Progress so Far
You can get a good sense of the business we’re building from the metrics and operating / business model deck that will be shared with you.
Here is a high-level summary of how we’re doing:
Our SaaS metrics are world-class.
We track and monitor the key SaaS metrics for growth, capital and sales efficiency.
Our SaaS metrics as of June 30th, 2022 are:
At the end of February 2022, we have 79 paying customers and an ARR of $3.2m.
We have a churn rate of less than 5%, 97% of revenue comes from enterprise customers and 80% of contracts are longer than 24 months plus. Our average contract value (ACV) is $440K+, and we target enterprise customers who spend a minimum of $100K+.
The gross margin for FY22 is forecast to be 72%
In FY22 we are investing in hiring aggressively across product and tech teams, building new products as well as addressing tech debt. In FY22 Sales and marketing will be 40% of revenue, R&D 176%, in FY23 this will be 26% and 73% respectively and we expect Gross Margin to be at 88.3%.
We have signed our first Portfolio Management customer, delivering $700K+ ARR.
Our latest enterprise contract is with a major financial services institution for portfolio management. DAS has opportunities with all existing clients for the same solution. We have kept all of our enterprise customers because they find value in what DAS is doing. The churn rate for Enterprise customers is 0% and SMB so is less than 2%.
We’ve been very capital-efficient
We’ve raised less than AUD$9M in total since founding and now need to grow capability and capacity. The founders still hold greater than 50%. Our Capital Consumption Ratio (CCR) is best in class, at less than 1.5.
Employee headcount is currently 33.
Our team is spread across Australia since we’re a fully distributed team.
Our SaaS business model is strong and supplemented by growing DaaS data integration tools.
We have a strong pipeline of products that have been validated by customers; expanding usage across products and geographies; and new CRM integration tools like Locate, which is key to our global expansion strategy. Our TAM is large and expanding.
Our Services offering exists only to complement our product and growth.
We sell subscriptions to software and data products to our customer companies and supply them via
the cloud. The split between subscription and services revenue is 96%/4%
DAS is riding multiple macro waves including the shift to cloud; the exponential growth of location intelligence; the application of machine learning and AI to agriculture; and remote work-living.
Tailwind & Runway
There are three major factors providing a long tailwind and runway for DAS’ growth.
Digital transformation. We are still only in the early innings of digital transformation and cloud adoption that’s at a scale that we haven’t seen since perhaps the Industrial Revolution. Digital optimization, process automation and gaining access to the best data types is still the primary focus - with true risk management and opportunity to materially transform how we lend, insure, allocate capital only in the early stages. Our tech will enable new products and services which couldn’t have been dreamt of just a few years ago.
Exploding complexity within financial services and agri-enterprise, along with the industry’s digital infrastructure. While more and more is being built in software, it’s also getting more and more complicated for enterprises to manage. They need more ways to integrate and synchronize critical data; and more ways to help them understand what’s going on.
From the very start, DAS has said that the challenge for the institutions that we serve is that despite their critical importance, they are making billions in decisions using data and tools that just aren’t good enough.
Tech talent shortages. DAS tools augment entire workforces, from the CEO and executive team through to frontline teams. At a time when institutions globally are racing to recruit and retain key tech and key people talent, we are not building solutions that require deep IT support - we are helping existing teams understand what’s going on and secure their next wave of growth..
We have focused on building a strong, defensible advantage and moat from the very start.
Why DAS is Important
By building the best SaaS company dedicated to the global agri-financial services space, we believe we will:
Create fairer financing & insurance for everyone: This starts with farmers, who may not be DAS’s customers, but are significant beneficiaries of access to and innovation in financial services to support their livelihood.
Create safer environments for everyone: Predicting risk in a changing climate starts with quantifying physical risk, whether simplistic or sophisticated, at both asset + portfolio levels.
Protect & feeding a growing population: Improving the risk model surrounding agri-financial services
is at the centre of DAS, connecting the future of food to true risk and visibility.
The DAS team is made up of all sorts of people: from highly experienced product, tech, development and engineering, to earth observation and geospatial talent, entrepreneurs and business executives, to passionate customer success professionals and sales experts, all supported by some of the world’s leading earth & data scientists.
DAS was born out of a partnership with Australia’s national science agency, CSIRO.
While not everyone knows who CSIRO is outside of its home country, if you're reading this online, the chances are you're using WiFi, invented by CSIRO.
CSIRO may not have put a man on the moon, but they do partner with NASA and the European Space Agency and are one of the world's largest, mission-driven, multi-disciplinary science and research organisations.
CSIRO is DAS' founding equity investor and our origins reflect our deep commitment to what we today call: "putting science into the hands of decision makers."
Over the last few weeks we've been showcasing some of our diverse and dynamic team members - here's a few of the people that make DAS happen, as we build our company.