📝 VC Memos (Week of Jun 12- Jun 18)

"We believe that the companies that are able to instrument their businesses and use that to feed the coming generation of AI systems are going to not just be the ones to thrive, but the only ones to survive… This is what the team at Refuel is working on – they are working toward building the product that will label enterprise’s unique data sets and turn them into fuel for the downstream AI workflows across building, managing, and using models."

"Quentin and Pierre’s experiences as bootstrapped founders and operators give them an edge in going to market, which stood out to us. Their cutting-edge technology that automates the enrichment and categorisation of bank transactions sets them apart in the financial management landscape. Bank transactions, being the main source of financial data today, often lack crucial information for actionable insights."

"Hydrogen offers many benefits: it’s a versatile fuel that can be easily manufactured in the field, it can be interchangeable across all Mach systems, and, most importantly, it enables major advancements in range and power for projectiles as well as unparalleled loiter time and speed for aerial systems. Leveraging this, Mach is focused on developing a suite of oxyhydrogen defense platforms, including unmanned aerial vehicles (UAVs) and aerial protection devices. With this innovative approach, Mach ultimately aims to solve the challenging problem of hypersonic defense."

— Read the full memo

"…with over 100 customers, including several Matrix portfolio companies and six of the top 10 NASDAQ companies, Meshcapade’s technology is already woven into applications across apparel, fitness, healthcare, gaming, AR/VR, and more. This funding will unlock the next chapter of Meshcapade’s mission: training foundation models for the analysis and synthesis of 3D human motion."

"We see a huge opportunity for companies building the infrastructure and applications that will enable broader adoption of blockchain technology. Mnemonic’s data and analytics platform solves the complex challenges of NFT data and enables customers to quickly benefit from powerful analytics and intelligence capabilities across Web3. "

— Read the full memo

“Synthesia’s platform can reduce video production time by 95%, making it a cost effective solution that also improves engagement with videos. This is a value proposition that has resonated: 12 million videos across corporate training, marketing, and customer service use cases have been created on Synthesia, and user growth has increased 456% year-over-year.”

“Most security teams do not have visibility into vulnerabilities introduced by the components used in their software, and those that do are often left with an enormous list of potential vulnerabilities devoid of context. Given the limited engineering resources typically available to remediate vulnerabilities, time to remediation remains high and large application risks persist among misguided priorities.”

— Read the full memo

“We believe DJUST is addressing a large and ripe market opportunity to digitize commerce for the B2B customer… the B2B commerce market is huge and despite being a majority offline market, the online market today is still massive. Statista estimated that the value of all goods and services transacted in B2B ecommerce in 2021 was roughly ~$18T, or approximately 5x that of B2C e-commerce.”

“Rex allows you to magically create your playlist of “rex” (recs, rex, get it?) from your photos. Mining the camera roll turns out to be a particularly smart way to do this; it turns out the photos we take are a very reliable signal of where we go and what places we like... Importantly, it reduces the friction for consumers to create and share, our core engagement loop.”

— Read the full memo

“Enter Gensyn, a blockchain-based marketplace protocol connecting developers (anyone who is able to train a machine learning model) with solvers (anyone who wants to train a machine learning model). By tapping into the long tail of idle, machine-learning-capable compute around the world — such as in smaller data centers, personal gaming computers, M1 and M2 Macs, and eventually even smartphones — Gensyn can potentially 10-100x the available compute power for machine learning.”

— Read the full memo