I believe breakthrough technologies are driving transformative change, tackling some of the worldās most urgent challengesāfrom climate change and healthcare to boosting global productivity.
Deeptech encompasses companies (specifically startups) that commercialise scientific research. Like with any labels, the definition isn't black and white across the industry, especially because of how varied science can be. For me, the research being commercialised from deeptech startups can be across any field from arts to science, but is largely based on a technology rather than a social solution.
The new technology offers a quantum leap in improvement over current solutions, which is distinct from optimisation or modifying the technology for an application (think infrastructure vs application level of a technology).
Usually these companies also have ongoing research and development (R&D), executive scientists in the founding team, and work on physical products, but it can also be software (eg. AI).. which is usually patentable. Because of the R&D and the physical nature of the products, these companies are capex intensive and have a long pathway to commercialisation.
You might think of research labs, chemicals or biological samples, test tubes, bunny suits, reactors and machinery and lots of scientific articles.
I've always loved science (Chemistry & Materials in CleanTech and for Humanitarian solutions is my thing) and wanted to use entrepreneurship to commercialise research and see it through to making impact in the field. In addition to CleanTech, novel technologies are at the forefront of major disruptions to global challenges like climate, health and automation which will continue to grow in the coming years. Many of these are physical problems that need innovative solutions, often distinctly different to current solutions that can't meet the needs of the donut.
As someone interested to be involved in the deeptech space, I couldn't find a lot of information readily. But there was a LOT going on. Much of the work is happening at universities and corporates that not a lot of people would get to hear about unless if you were really in it. I sought to talk to people in the ecosystem to help me find out what's out there in the deep end of startups.
I know there's more people like me: whether students, tinkerers, emerging deeptech founders, business wiz keen on the growing deeptech scence who would like to see what's around in deeptech in Australia. So with the help of a few mates and a long, rollercoaster journey getting this together, juggling between uni and work, I thought to put my learnings out here for others. This work includes an ecosystem map of the deeptech hubs (available on this site) and startups presented as a spreadsheet, and a few blogs sharing my learning from the data I've collected and the conversations I've had with leaders from the companies I've listed.
I hope this work can inspire future deeptech entrepreneurs, help clarify the entrepreneurship pathways and opportunities, and help the broader ecosystem better support these entrepreneurs in the early stages - or just be an interesting read to go with your daily coffee.
Iāve been collecting info on startups and ecosystem hubs that Iāve come across over the last year and a bit.
I found these companies online (previous ecosystem maps and reports, portfolios of ecosystem hubs, socials, startup
databases like Dealroom and Crunchbase) and through conversations with people and considered each one for whether they
count as deeptech. I gathered data for each of the organisations from their websites, socials, by talking to
individuals from the organisations or from databases like Crunchbase (only for the startup list) - most of the data
collection was automated but all of the data was double checked manually.
Some of the analysis Iāve presented in the
blogs are based on best assumptions from the public data (the data on the airtable is accurate to the best of my
knowledge) - it isnāt the one source of truth but the data gives an indication of what the trends in the ecosystem
are likely to be.
Iāve tried to categorise the companies based on how they describe themselves but to help analyse
the trends we need to configure them into groups so the categorising into industries, research fields etc is subject
to my conscience! But the ātagsā on the companies are based on the wording they choose for themselves where I thought
it was relevant to include to help you search through the list:)
Finally, and most importantly, all love and kudos to the numerous souls who have helped me with this project!
There have been individuals who helped guide the direction and outputs for my work (thanks Stephen, Phil, Charlie),
helped fill in the data (thanks Dips, Lachlan, Michael for giving it a shot, also a mention to Stanley, the Nucleate Australia team),
connected me with the right people and gave me the moral support (canāt thank enough for helping me make this work actually happen!).
If the inner scientist in you is as curious as anyone, be assured thereās more to the data - more spreadsheets!
Use this link to request access to the spreadsheet with the raw data. Itās free to access, but just need to avoid
misuse and spamming. The spreadsheet includes more data categories and other organisations I havenāt included in the
Airtable (ceased, ESG etc.).
And reach out to me if you have any questions or thoughts!