Both powered by artificial intelligence Valley and its investment arm are having a good run this yr.
The PC manufacturer has seen a surge in demand for its server products $20 billion value of AI server shipments forecast for the financial yr 2026. At the same time, its investment department, Dell Technology Capital (DTC) has had five exits since June – an initial public offering and 4 acquisitions – an especially notable record in the enterprise industry, which has struggled with a liquidity crunch in recent years.
Following this success, we recently spoke with the managing director of Dell Technologies Capital Daniel Doctor and partner Elany Lian.
DTC was founded over a decade ago and operates as a full-stack investor, supporting every part from silicon to applications.
“An important part of our network is our collaboration with Dell, which is a leader in GPU servers,” Docter said. As a result, Dell is connected to all the major players in artificial intelligence, he said.
One of the first investments in artificial intelligence took place in 2014 in the machine learning era at a company called Moogsoft. In 2023, Dell acquired an alert repair company.
DTC’s investment thesis was that the emergence of machine learning would disrupt the technology industry. At the time, data had expanded to the point where the market needed recent tools to analyze data and find patterns, which influenced the company’s early investments in artificial intelligence.
The investment team at DTC consists primarily of technical people, often “double E” engineers.
Docter has a background in electrical engineering and currently worked at Hughes Research Labs HRL laboratoriesand moved from engineering to business development. He joined the enterprise capital industry 25 years ago and spent over a decade in it Intel. He joined DTC in 2016 through Dell EMC acquisition.
Lian worked in the semiconductor industry for a decade when he joined the company Intel capital in 2010 and then joined Dell Technologies Capital in 2024.
Data evolution
Docter believes we live in the fifth generation of artificial intelligence, which becomes more powerful with each iteration.
“We see AI as almost a data problem,” Lian said. “For AI to get better and better, there is an unlimited ceiling to which high-quality data will flow.”
The team meets with startups focused on training, inference, inference and continuous learning along with security requirements. Data underpins this progress.
Even the definition of data is changing. “It used to be the word, then it was the context, then it was the task or the rationale or the path. Then it was the reasoning,” Docter said. “Who knows what will happen next?”
As artificial intelligence improves, there is a need for pioneering and specialized data in fields comparable to philosophy, physics, chemistry and business. According to Docter, who reported on some of the company’s investments, people are up to date with the development of these opportunities.
About transaction flow
DTC is a financial investor who evaluates a potential company for a good investment somewhat than supporting a company based on Dell’s strategic goals.
Startup revenues are exceeding what was previously possible, Docter said: “I’ve been doing this for 25 years. I’ve never seen companies see revenue growth like that.”
He noted that the best offers are all the time subject to fierce competition.
The query to ask when it comes to revenue, Docter said, is: “Is it the budget of the CTO’s office of innovation? Or is it the VP of engineering’s budget?”
When evaluating a potential portfolio investment, the team asks itself: “Is the revenue sustainable? Is there value in using it?”
The pace of investment also appears unprecedented. “On Tuesday we meet with the company for the first time, and sometimes by Thursday the company has already signed a sheet of terms of cooperation,” he said.
The company does not have a set fund size, which is an advantage because it may be flexible in terms of check size, commitment stage and how it invests over time.
DTC has invested $1.8 billion in 165 corporations to date. He likes to invest in early-stage, seed or Series A investments with checks ranging from $2 million to $12 million and leads or co-leads 80% of recent deals. The company makes about 15 to 16 recent investments a yr.
Once the investment is made, DTC looks at how the company will help portfolio corporations sell to potential customers in Dell’s channel partner network.
This yr, DTC has recorded five exits, including NetscopeIPO and 4 acquisitions: Streams By Meta, Single store By Vector capital, TheLoops By Industrial and financial systems AND Regrel By Sales power 1.
Notable investments in artificial intelligence
DTC is investing a little more actively than in the past but stays disciplined, Docter said. The investment team focuses on complex enterprise use cases and challenges, in line with Warren Buffett the principle is to invest in what you know.
The company is investing at the silicon level because “you can disrupt the ecosystem tremendously,” Docter said.
The DTC portfolio corporations we discussed include the following corporations operating in areas ranging from silicon to applications.
Infrastructure and hardware layer:
- AI chip manufacturer StreamsWhich Meta planning acquire for an undisclosed amount. (The transaction is pending regulatory approval.)
- SiMa.aiwhich creates a chip for edge applications including automotive, drone and robot technologies.
- Runpoda software layer for AI developers with on-demand access to GPUs. It allows developers to play with AI and then scale it for production. The website has 500,000 programmersincluding 30,000 monthly, Docter said.
- SuperAnnotationa data annotation platform for human-involved enterprises to create accurate data pipelines. Her clients include, among others: Data cubes and women’s health app Flo’s health.
Applications:
- AGI stomach provides customer support for complex, highly compliant enterprise applications, which is a potentially huge market. Lian predicts that overall customer support will likely be a trillion-dollar market.
- Entertainment SeriesGenAI game development platform, which goals to reduce implementation time from eight months to two weeks.
What’s next?
Lian’s fundamental area of interest is progress in voice artificial intelligence, i.e. on a regular basis human-machine interaction.
It’s hard to imagine that the transformer architecture is the last and final architecture, Docter said. The company has invested in corporations creating various architectures in Cartesianleader in a state space model that has a longer context window, building a recent reasoning model with a different architecture, initially focused on voice AI. DTC also invested in corporations based in Israel AA-I technologieswho is working on a recent type of reasoning model architecture.
“Right now, the capabilities of AI are so great, but this ball is still going to explode,” Lian said. “The contact area is getting larger. The same goes for data.”