
In its February 2023 investor update, SuperSeed reports that portfolio revenue growth outweighed the 2022 fall in SaaS multiples, sets out its outlook for 2023, and highlights three AI portfolio companies: AI Build, Garvis and ThingTrax.
- The median ARR multiple of the Emcloud Cloud/SaaS index fell from 12.65x to 5.64x in 2022.
- SuperSeed I portfolio companies doubled ARR in 2022 and SuperSeed II companies grew 204%, so valuations in both funds rose for the year.
- IRR stood at 17.8% for SuperSeed I and 29.7% for SuperSeed II at the time of the update.
- SuperSeed expected 2023 to bring a capital crunch, more startup failures and moderate valuations, with a possible soft landing as inflation pulled back.
- The update calls 2023 the year of AI and expects the next layer of AI innovation to come from startups with deep AI and industry domain expertise.
Dear Investors,
2022 already seems like a distant memory. But it is worth recapping what was a pivotal year.
Some of the key points were:
- Market crash. Especially for tech stocks
- War in Ukraine
- Crypto collapse
- Implosion of bad business models
- Layoffs at major tech firms
But also
- Incredible advances in AI (ChatGPT. MidJourney)
- A “back to basics” focus on building proper companies
- Startup valuations coming back to Earth
I covered some of the highlights and lowlights here.
SuperSeed in 2022
Public SaaS companies saw significant valuation drops in 2022. For Emcloud (Cloud/SaaS index) the median ARR multiple fell from 12.65x to 5.64x.
For SuperSeed portfolio companies, however, solid revenue more than made up for the multiple contraction.
Companies in our SuperSeed I portfolio doubled SaaS revenue (ARR) in 22, and SuperSeed II grew 204% (i.e. – to more than 3x).
As a result, valuations in both funds are up for 2022. IRR for SuperSeed I is now at 17.8%, with SuperSeed II at 29.7%.
What is ahead for 2023
Last month I outlined this thesis for the year ahead:
- Many startups deferred their raises in 2022 and will run out of money in 2023.
- Startups that need to raise will have a tough time. It’s just harder, even for good companies. And for the “not quite there (yet)” companies, it’s impossible.
- The cleanup will continue. We will see more startup failures as overfunded companies with poor business models run out of cash. They will be unable to raise the next round, and will merge or fold.
- Interest rate tightening will level off. But not as quickly as some people hope. Jerome Powell has been clear. “Whatever it takes” to combat inflation.
- Valuations will continue to be moderate. This is an investors’ market. Great returns will come out of this vintage.
The data essentially still support the above. One area where there might be some “good news” is inflation. Core inflation in the Euro-area and US inflation has pulled back rapidly. It is possible that we could see a soft landing this year – something many economists thought unlikely 1-2 months back.
Opportunities in tech (investing)
2023 will be the year of AI. 2022 saw AI landmarks like Alphafold (Protein folding), and ChatGPT announced.
But advances in AI go far beyond improvements to chatbots and protein folding. We see it fundamentally transforming how everything is designed and made.
Historically, the “making of things” has been a complicated process. Gathering and synthesizing requirements. Development design operations. Endless iterations. Configuring production systems to produce what was designed.
AI impacts this in so many ways. Three of the key ones are:
- (Semi) automating the synthesis of requirements
- Automating the translation of requirements into designs
- Automating the actual production
The changes won’t happen overnight, and humans will continue to play a large role in how things are made.
But Generative AI gives us a tool to improve almost every step of the design and production process.
It’s powerful, and it promises massive productivity enhancements in the decade ahead.
The startups making it happen
Most of the big advances in 2022 came out of large corporates. AlphaFold was made by Deepmind, owned by Google. And ChatGPT (based on research from Google) was made by OpenAI (backed by Microsoft).
However, the next layer of innovation will come from startups. And we focus on partnering with the best founders that work in B2B SaaS. Entrepreneurs with deep expertise in both AI and specific industry domains.
Here are some examples of portfolio companies with powerful AI models.
AI Build
3D printing promises to change how we make things. From cars to aeroplanes to buildings. But to date, it has been hard to scale the technology beyond small objects like hearing aids and dental implants.
Enter AI Build.
Ai Build’s platform uses AI to convert design models into production models that can be printed in “large format”. Reliably. And at speed. This work used to take weeks of a specialist’s time. And using AI, it can now be done in minutes.
It has taken years of painstaking R&D for founders Daghan Cam and Michael Dasyllas to perfect the technology. As a result, they are already supporting Boeing and several of the world’s largest automotive manufacturers. Congratulations!
Garvis
Manufacturing companies make amazing things. But how many widgets should they make?
Garvis helps demand planners predict future demand. This means they don’t make too little (or too much), reducing both wastage and wasted opportunity.
Garvis founder Piet Buyck is a veteran of the demand forecasting space. He and his founding team: Anupam Aishwarya, Ranjith Narayanan and Geert Jan Van den Bogaerde have created a groundbreaking platform**.**
They are already supporting large corporates like J&J, Bosch, GSK & Coca-Cola, and there is much more to come. Congratulations!
ThingTrax
Manufacturing often involves manual assembly. And when factory workers assemble things, “stuff” can occasionally be forgotten. A screw left out. A widget misplaced. And who can blame them? It can be repetitive and tiresome.
Enter ThingTrax’s Lineview solution. It’s based on computer vision AI that analyses the manual assembly process. And gently reminds the assembly worker if something has been left out. Magic.
Founders Aman Gupta and Imran Shafqat, together with Paul Reader, are building an amazing company. They already serve a host of mid-market customers, but also global enterprises like Tata. And they are just getting started
The road ahead
SuperSeed’s mission is to help the best technical founders build SaaS companies that transform how business is done. We are seeing a Cambrian explosion in startups in 2023. Smart founders are pursuing new opportunities across industry, transport/logistics and enterprise. And as they do so, we are there to back them and help them make it all happen.
Frequently Asked Questions
How did SuperSeed's portfolio perform in 2022 despite the market crash?
Revenue growth more than made up for the fall in multiples. SuperSeed I companies doubled ARR and SuperSeed II companies grew 204%, so valuations in both funds were up for 2022, with IRRs of 17.8% and 29.7% respectively.
What did SuperSeed expect for startups and venture in 2023?
It expected many startups that had deferred raises to run out of money, fundraising to be hard even for good companies, more failures among overfunded businesses, interest rate rises to level off slowly, and valuations to stay moderate in an investors' market.
What do AI Build, Garvis and ThingTrax do?
AI Build uses AI to convert design models into production models for large-format 3D printing. Garvis helps demand planners forecast future demand. ThingTrax's Lineview uses computer vision to check manual assembly and remind workers when something has been left out.
In which ways does SuperSeed think AI will change how things are made?
The update names three: semi-automating the synthesis of requirements, automating the translation of requirements into designs, and automating the actual production.