An open, token-gated research platform. Train models, build specialized AI modules, share your work — and access the tools that were once locked behind institutional walls.
From raw GPU compute to pre-trained model repositories — a complete stack for independent AI research. Select a tool to launch its program.
Build, train, and share specialised AI modules. From face recognition to scene understanding — each module is a self-contained unit ready for integration.
Any researcher can publish their own modules to the library. Modules are reviewed by the community, and creators earn $SYNX rewards based on usage. Build once, get paid every time someone uses your work.
$ synapex lab init --project "face-recognition-v2" ✓ Project created: face-recognition-v2 ✓ GPU allocation: 4x RTX 4090 via compute marketplace ✓ Base model loaded: synapex/vision-backbone-v1 $ synapex train --config train.yaml --epochs 120 ► Training started on distributed cluster Epoch 032/120 | Loss: 0.0234 | Acc: 98.7% | ETA: 2h 14m ... ✓ Training complete. Model saved: models/face-rec-v2.pt $ synapex publish --module face-rec-v2 --license MIT ✓ Module published to SYNAPEX Module Library ✓ IP registered on-chain: 0x7a3f...c4e2 ✓ Now earning $SYNX per inference call
Basic platform access is open to all. Advanced compute, premium models, and governance voting require $SYNX token holdings. Contributors who publish research, contribute datasets, or build platform tools earn $SYNX rewards — creating a virtuous cycle between participation and access.