We build the local-first AI runtime behind multiple products.
D4DA builds sovereign, browser-native AI software. Our core technology is a local-first training, evaluation, and inference stack designed for privacy-sensitive workflows.
Core infrastructure
Local-first training, evaluation, distillation, benchmark, inference, and deployment stack for privacy-sensitive AI products.
NPM package DopplerBrowser-native WebGPU inference engine used across D4DA's local-first AI stack.
NPM package DoeZig-first WebGPU runtime for Node.js, Bun, Deno, and hardware-oriented execution paths.
Cerebras checks CSL receiptsBrowser-to-Cerebras verification receipts using Gemma 4 and Qwen evidence.
Public products
Legal review application built on D4DA's local-first AI runtime.
Verified compute m3t4.aiPublic-facing arena and receipt surface for verified WebGPU compute.
Model behavior GammaBrowser game and comparison surface for model behavior experiments.
Agent system ReploidBrowser agent system with explicit state and tool use.
Data memory data.d4da.comDurable data comparison and memory surface.
Local deployment
D4DA products are designed to run local-first in privacy-sensitive environments. By executing inference, training, and evaluation entirely on the user's device, we ensure that sensitive data never leaves local custody. Cloud-based execution options are available only when explicitly permitted by user policy.