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Baud: AI chips for ultra-fast training and inference. It is listed under Development & Code on AI Registry as a paid tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Baud. This is an automatic list. We have not written a researched verdict for Baud yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
AI for ASIC Design Verification
Bronco AI is an AI platform for semiconductor design and verification. Its agents debug simulation failures on large waveforms, triage nightly regressions into unique failure signatures, generate UVM testbench collateral, write RTL and SystemVerilog assertions checked against simulation, review specifications and verif...
Automation Foundation Models For Tiny Devices
Cactus Compute builds very small foundation models that run locally on devices, led by Needle, now in its third version. Needle is a single 8 to 29 MB binary that trades general chat ability for reliable automation: given the functions an app exposes, it chooses the right tool calls and fills their arguments from what ...
AI-native test infrastructure layer for hardware companies
Daqstra is an operating layer for physical test infrastructure, positioned as an API for hardware research and development. It connects the data acquisition systems, PLCs and custom hardware at a test stand, unifies live and historical test data, and orchestrates each run, replacing the channel lists, calibrations and ...
Physical AI for Warehouses and Factories
Flux Auto retrofits autonomy onto material handling equipment a facility already owns. Its engineers fit a hardware kit to an existing forklift, pallet jack, reach truck or tow truck, and the company's autonomy stack then drives the vehicle. The stated install time is about 48 hours per unit with no structural changes ...
Frontier grows scalable biological brains as an ML training substrate
Frontier is first to grow biological brains at scale, serving biological neural nets with substrate-level colocation of memory and compute, enabling highly cost effective training of large parameter count models. While academia has traditionally been limited to ~1M neurons in vitro, Frontier has built a pathway to scal...
AI tools for the chips your AI runs on
Hardware Intelligence builds AI tools for chip design, positioning itself as software for the chips that AI itself runs on. The company is backed by Y Combinator and sells to semiconductor teams that want machine assistance in the engineering workflow rather than another general purpose coding assistant. Its second pr...