#Data/Training

AISabi has raised $50 million from Khosla Ventures, Accel, Initialized, Kevin Weil and DST Global to build a wearable brain-computer interface cap. The author says the company already has a TSMC-fabricated chip that reads brain signals without touching the scalp, with custom sensors and an in-house AI model that decodes the signals into text. The author notes that the device is a wearable cap, not an implant.

AIA 10-person stealth lab founded by Peking University PhD student Tian Keyu raised $30 million from Wolves VC and IDG at a $200 million valuation, according to Leiphone. Tian, who was sued by ByteDance for 8 million yuan over a 2024 sabotage incident, plans a base model trained on about 100 million hours of video using a 200,000-symbol visual vocabulary, targeting a 2027 release.

AIGeekPark reports that Krinwave, a Shenzhen company, has completed a new 400 million yuan round with XVC and Sequoia China as new investors. The company says its low-frequency ultrasound captures brain structures through the skull, which conventional high-frequency devices cannot, and it aims to supply hardware and its kOS software platform to brain-computer interface and NeuroAI groups.

AIBASAL Intelligence, founded by Tsinghua AIR's first PhD graduate Li Jianxiong, has secured lead funding from Five Source Capital, with Ivy Capital, Linear Capital and WestSummit Capital participating. The company says it is betting on an action-native In-Context embodied foundation model that lets robots learn on site from a few human demonstrations and trial attempts within minutes, without retraining after a scene change.

AINVIDIA announced commitments valued at $1 billion over the next five years to build U.S. capacity for super intelligence research in fields including quantum computing, healthcare and energy security. The funding will support U.S. higher-education research institutions, American quantum leadership and cloud service providers serving U.S. government mission needs. NVIDIA is also a collaborator on several phase 2 Genesis Mission awards in quantum computing, fusion, accelerator design and microelectronics.

AIMicron reported fiscal Q4 revenue of $54.23 billion, up 4.8X year on year, with net income of $37.7 billion. Its Cloud Memory unit, dominated by HBM, posted $16.28 billion in sales at an 83 percent gross margin.

AIProximal, a year-old startup supplying coding data to AI labs, raised funding from General Catalyst at a $300m valuation. In the past 10 months, it has surpassed $200m in annualized revenue, reflecting the labs' ongoing demand for data.

AILegal AI company Harvey says it raised $550M at a $15.5B valuation, led by Diffusion and Lightspeed. It reports more than $400M in ARR and 3,000 customers, including 80% of the top 100 law firms, and plans to invest the funds in people, compute, and inference and model training.

AIMark Chen says no human or agent reviewed user data for the Navier-Stokes effort. He adds that OpenAI and other LLM companies do use user feedback and de-identified data to improve ChatGPT and Codex.

AIHelical Fusion CTO Wei Xishuo told the NFEC2026 AI-for-fusion forum that the company uses an autoencoder to compress hundreds of stellarator shape parameters into three. The company says this lets it predict zonal flow residuals and turbulent transport from more than 15,000 global simulations and generate new configurations with up to 100x better confinement in simulation.

AIDatabricks has acquired ElectricSQL, the team behind PGlite, a WebAssembly implementation of Postgres that runs in the browser and syncs asynchronously with Postgres instances. Databricks says this suits fast AI agents and plans to use the capabilities to strengthen its Lakebase Postgres offering.

AIAmazon Research Awards named 34 recipients of its Build on Trainium program, a $110M credit initiative supporting AI research at 30 universities on AWS Trainium. The post frames the program as support for academic AI research on Amazon's custom Trainium chips.

AISequoia Capital is leading Etched's $300 million Series C at a $10 billion pre-money valuation, backing the startup's custom inference silicon. Etched says its first-generation chip taped out at TSMC on leading-edge nodes and that its first cluster ran a range of frontier models in 40 days, with early customers now getting access.