3 AI Stocks With Revenue Growth Up To 69%

Services sectors in many major economies are still expanding, even as manufacturing sends mixed signals. That keeps demand for automation, data analysis and smarter software very much alive. Smaller AI focused companies that build these tools can gain attention as businesses look for more efficient ways to grow. This article highlights three US listed AI small cap stocks from our screener that aim to tap into that demand.

The three AI stocks covered below are just a sample of the opportunity, and the full screen surfaced 26 more AI small caps with equally compelling stories that are not included here. To identify and analyze the AI stocks that best fit your own thesis, head straight to the AI Small Caps screener.

Butterfly Network (BFLY)

Overview: Butterfly Network builds handheld ultrasound devices that plug into a smartphone or tablet and pairs them with Compass AI and ScanLab, two AI powered platforms that manage images, analyze scans and guide clinicians through real time ultrasound exams.

Operations: Butterfly Network generates about US$112 million a year from its AI enhanced personal ultrasound solution, with roughly US$92 million coming from the United States and US$20 million from international customers.

Market Cap: US$2.02b

Butterfly Network gives you exposure to AI in healthcare, where software and data matter as much as the hardware in the clinician’s hand. Compass AI and ScanLab aim to turn each scan into a smarter workflow, training tool and data point. Partnerships, such as the recent brain computer interface deal with Merge Labs, show how its ultrasound on chip technology can reach new markets. The company is still reporting losses and depends on wider adoption of its AI software and licensing, so funding needs and rich expectations are real risks. For investors who can tolerate that trade off, the mix of handheld devices, AI platforms and embedded licensing can be a compelling early stage AI story in medical imaging.

Butterfly Network’s handheld ultrasound pitch is getting plenty of attention, but the real story sits in how its losses, software ambition and licensing plans fit together in the analysis report for Butterfly Network

Aehr Test Systems (AEHR)

Overview: Aehr Test Systems supplies FOX wafer and die level test and burn in systems that help chipmakers stress test AI processors, silicon photonics and other integrated circuits before they go into data center and edge AI hardware, while also serving broader semiconductor markets like power devices, sensors and memory.

Operations: Aehr Test Systems generates about US$50 million a year from designing, manufacturing and marketing advanced test and burn in products sold to semiconductor and electronics customers across Asia, the United States, Europe and the Middle East.

Market Cap: US$2.62b

Aehr Test Systems is worth a closer look if you want exposure to the plumbing behind AI hardware rather than the headline chip stocks. Its FOX platform is already tied to record backlog, repeat AI processor and silicon photonics orders and recent multi million dollar wafer level burn in deals. Early work in areas like high bandwidth memory could add fresh revenue streams over time. The trade off is clear: Aehr is still loss making, carries a high valuation and relies on continued AI capex and customer concentration that can cut both ways, with insider selling in recent months underlining that risk. The full story sits in how that AI demand, growth plan and funding profile fit together over the next few years.

Aehr Test Systems is connected to record AI chip demand, and the real story lies in what that means for future orders and risk concentration. Get the full picture in the analyst forecasts for Aehr Test Systems

SharonAI Holdings (SHAZ)

Overview: SharonAI Holdings runs high performance GPU compute platforms that give AI labs, enterprise customers and hyperscalers access to cloud GPU environments and AI infrastructure. The business is anchored by a planned 72MW AI factory in Australia with up to 40,000 NVIDIA Grace Blackwell GB300 GPUs for intensive machine learning and model training workloads.

Operations: SharonAI Holdings currently generates about US$3.1 million in revenue from High Performance Compute Services, all from customers in the United States.

Market Cap: US$1.94b

SharonAI Holdings is built around a clear idea that access to GPU compute is becoming as important as access to power or broadband, and it is trying to secure that role early with its AI factory build out and NVIDIA collaboration. Multi year, take or pay contracts and large agreements with global technology and AI customers may support recurring revenue once the infrastructure is fully deployed. At the same time the business is still small in revenue terms, carries losses and faces heavy capital needs, short cash runway and execution risk as it scales from a few megawatts to more than 100 megawatts of capacity. For investors seeking pure play exposure to AI infrastructure beyond the mega caps, SharonAI represents a high risk, high potential opportunity that may warrant further research.

SharonAI’s GPU build out could reshape how AI teams access compute capacity, yet its small US$3.1 million revenue base and heavy capital needs leave big questions. Get the full story in the full narrative for SharonAI Holdings

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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