

24 Aug 2026 · 8m · 2 chapters

TechCrunch episode covers two startup stories. First, AI data labeling startup MicroOne (four years old) says its gross annual run rate grew from $100M to $500M in eight months, retaining ~60–70% as net ($150–200M). It hires domain experts (doctors, lawyers, scientists) and is adding synthetic data (e.g., automated video descriptions) and “off-the-shelf” datasets sold to multiple customers (80–90% gross margins). Critics argue selling shared data to Chinese AI developers boosts competitors; founder Ali Ansari says MicroOne doesn’t sell to Chinese model makers and points to Kimi K3. MicroOne pivoted from AI recruiting after clients used its platform for annotation hiring; it also builds robotics pre-training datasets via home object-interaction recordings.
Second, Japan’s Latara (Sapporo) expands hybrid propulsion beyond small satellite thrusters to large rocket systems for space, defense, and security. Co-CEO Shota Harai says it raised 2.6B yen (~$16M) co-led by Headline Asia, JIC Venture Growth Investment, and Incubate Fund (with strategic investor NES). Latara’s hybrid design separates solid fuel (plastic/rubber) from liquid oxidizer, using a proprietary manufacturing process to improve reliable ignition and consistent burn, aiming to solve thrust, performance, and combustion control. It targets satellite makers/operators, launch companies, and governments, claims orders from partners and Japan’s government, and plans an in-orbit firing test with an overseas partner.
Written by AI. May contain mistakes.
Discussion on MicroOne's rapid growth in AI training data, its business model, and market position.
“This advertisement doesn't constitute an offer or solicitation nor a description of any products or services of Axel Excel.”
Exploration of Latara's innovations in hybrid rocket propulsion and its market ambitions.
“Each weekday on Motley Fool Hidden Gems Investing, we talk through the business news you need to know and the stories moving stocks on Wall Street.”

Get the gist, explore an idea or ask about something said.
On TechCrunch Startup News, what are the key points of this episode?
Automatic transcript. May contain errors.
0:01This is TechCrunch.
0:30into risk for a future to be imagined. This advertisement doesn't constitute an offer or solicitation nor a description of any products or services of Axel Excel. The near bottomless demand for unique AI training data from top labs and corporations is driving a massive boom for a cohort of data labeling startups. One of these fast-growing businesses is MicroOne, a four-year-old startup that expanded its gross annual run rate from$100 million to $500 million over the past eight months. That's according to a person familiar with the company. Like its peers that hire domain experts, such as doctors, lawyers, and scientists on a contract basis, MicroOne retains roughly 60 to 70 percent of that figure, putting its net annual run rate between$150 million and$200 million.
1:24While MicroOne still lags competitors like Mercore, which hit$2 billion in gross annualized revenue this summer, and Handshake, which reached$1 billion earlier this year, the startup's revenue growth shows that there is more than enough demand to support multiple players supplying AI training data. The rapid growth is bound to continue, with some researchers hypothesizing that future AI spending on data could rival spending on compute. That outlook bodes well for MicroOne, which is seeing its contract sizes grow at an accelerated pace and expects its margins to expand over time. The startup is increasingly generating synthetic data without human involvement, such as by creating automated descriptions of video content.
2:11Additionally, some of the data it generates can be sold to multiple customers, driving gross margins for this off-the-shelf data as high as 80 to 90 percent. Selling the same data sets to multiple clients has sparked recent controversy, with critics arguing that distributing off-the-shelf data to Chinese AI developers helps make their models as powerful as top U.S. models. Micro One's founder, Ali Ansari, said last month on social media that, Unlike some of its competitors, the startup doesn't sell its data to Chinese model makers. He went on to say that some human data companies work with foreign adversaries, and the results show today in Kimi K3.
2:54We believe it's shameful to claim American AI dominance desires while selling millions worth of data to countries that we are in adversarial competition with. Like Mercore, MicroOne began as an AI recruiting startup, But after noticing that data-labeling clients were using his AI platform to vet and recruit engineers for annotation, Ansari decided to pivot and enter the data-labeling business, too. Ansari previously told TechCrunch that in addition to having its experts evaluate model outputs, a concept known as reinforcement learning, the company is building a robotics pre-training dataset by having hundreds of generalists record everyday object interactions in their homes.
3:40MicroOne raised its Series A at a$500 million valuation last September, and TechCrunch understands that the startup may have recently raised another round at a significantly higher valuation. MicroOne did not respond to a request for comment.
4:01Japan is pouring billions of dollars into its burgeoning space industry and easing restrictions on defense exports, efforts designed to build a homegrown aerospace sector filled with domestic startups that have a global reach. Latara, a Sapporo-based startup developing hybrid propulsion systems for spacecraft, is looking to capitalize on that push. After focusing on hybrid thrusters for small satellites, the company now plans to develop large rocket systems for the space, defense, and security markets. That's according to the company's co-CEO, Shota Harai. Now, that expansion is being fueled by 2.6 billion yen, which is equivalent to about 16 million U.S.
4:48dollars in new funding that comes as the startup tries to turn years of academic research and demonstrations into a commercial business. The round was co-led by Headline Asia, JIC Venture Growth Investment, and Incubate Fund with participation from strategic investors, including Networked Energy Services Corporation, which is an energy company. With this round, Harai said, We plan to explore a much wider set of use cases across both the space domain and the defense and security domain, and to develop and propose hybrid rocket systems suited to each of them. At the heart of Latara's technology is a hybrid rocket design that keeps its solid fuel separate from the liquid oxidizer needed for combustion.
5:35Inexpensive, widely available materials, such as plastic and rubber, are used as solid fuel. The company has developed a proprietary manufacturing process that mixes shapes and compresses these materials to ensure they ignite reliably and burn consistently. The end result is a system that can deliver more thrust with less waste than traditional hybrid rockets that often use expensive paraffin wax. The aim is to solve three problems that have, so far, limited the use of hybrid propulsion. Generating sufficient thrust, maintaining performance, and controlling combustion. There is considerable opportunity if Latara is successful.
6:17The global hybrid rocket propulsion market is projected to expand to$2.6 billion by 2032, up from$848 million in 2024, at a CAGR of 15%, a trajectory that points to growing demand for the technology. Still, Latara is not alone in its pursuit. A number of companies are developing hybrid rocket technology, including Japan's Interstellar Technologies, China's Galactic Energy, South Korea's Inospace, and Singapore's Equatorial Space are advancing hybrid rocket technology. There's a German startup and an Australian startup as well that are pursuing hybrid rocket technology, while other U.S. companies are developing competing propulsion and launch systems.
7:08Latara is targeting satellite makers and operators, launch companies, and governments. It sees commercial satellites as its biggest market for in-space propulsion, while government demand for rocket systems is growing, particularly in Japan. The company says it has already won orders from rocket and satellite companies, as well as the Japanese government, although it did not disclose the value of those contracts. Its next major milestone is an in-orbit firing test with an overseas partner, which Latara sees as a key step toward commercialization. It will also need to establish a repeatable manufacturing process backed by quality controls and a reliable supply chain for fuel in tanks that can support production at scale.
7:52When asked whether recycled plastic could eventually be used as fuel, Latara said it was very much a possibility with its hybrid technology, though more testing and development would be needed. That's all for now. For the latest in startup tech news, go to TechCrunch.com.
8:18Hey there, I'm Travis Hoyam, one of the hosts of Motley Fool Hidden Gems Investing. Each weekday on Motley Fool Hidden Gems Investing, we talk through the business news you need to know and the stories moving stocks on Wall Street. On weekends, we game plan personal finance strategies and dive into the industry's shaping tomorrow and host the experts, authors, and executives that understand them. Tune in for insights and a long-term perspective on investing and, of course, stock ideas, plenty of them. To quote a listener, it pays to listen. Check us out and subscribe wherever you listen to podcasts.
Surging demand for AI training data is driving rapid growth for the startup and its rivals.
Also, Japanese space startup Letara is betting its hybrid rocket technology can move beyond small satellite thrusters into a broader market for space, defense and security, after raising ¥2.6 billion ($16 million).
Learn more about your ad choices. Visit podcastchoices.com/adchoices



