About FineTuneMyAI
We believe high-performance AI fine-tuning should not require surrendering proprietary data or IP to centralized cloud providers.
Our Founding Principle
“The Cloud Coordinates. Your Hardware Computes.”
Over the past decade, cloud computing centralized machine learning into datacenter monopolies. While cloud platforms provide convenience, they introduce unacceptable data exfiltration risks for regulated industries, proprietary software codebases, and personal private documents.
FineTuneMyAI restores balance. We build modern, intuitive web orchestration tools that communicate with a transparent, verifiable on-device local agent. You get the elegance of a modern web interface while your GPU executes all training routines locally.
Zero Telemetry of Weights
During local fine-tuning, training datasets, model weights, prompts, and adapter matrices stay on your workstation. If you explicitly choose hosted inference, the artifacts required to serve that model are uploaded to managed infrastructure.
Silicon Native Speed
Engineered from the ground up for Apple Silicon unified memory (MLX) and NVIDIA CUDA (bitsandbytes & PEFT) without abstraction bloat.
Hardware Calibration
Our automated memory headroom calibrator targets safe memory headroom and adaptive batch sizing to mitigate out-of-memory risks on consumer workstations.
Local-First & Verifiable Architecture
FineTuneMyAI is proprietary, local-first software engineered for complete data sovereignty. The local agent executes only allowlisted commands natively on your machine.