Virtual Research Laboratory

The SYNAPEX Lab

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.

Everything You Need to Research

From raw GPU compute to pre-trained model repositories — a complete stack for independent AI research. Select a tool to launch its program.

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Compute Marketplace
Distributed GPU network accessible via $SYNX token. Pay-as-you-go training runs, inference endpoints, simulation environments.
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Model Repository
Access SYNAPEX-trained models: vision systems, motor controllers, perception modules. Fine-tune on your data.
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Simulation Suite
Physics-accurate environments for training embodied AI. Pre-built scenarios for locomotion, manipulation, navigation.
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Collaboration Network
Connect with inventors, developers, researchers globally. Share datasets, co-author experiments, form research teams.
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Research DAO
Token holders vote on research priorities, compute allocation, and platform evolution.
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IP Protection
On-chain IP registration for every research output. Inventors retain ownership. Smart contract licensing.
SYNAPEX PROTOCOL

Plug-and-Play AI Modules

Build, train, and share specialised AI modules. From face recognition to scene understanding — each module is a self-contained unit ready for integration.

Phase 1 🕵
Face Recognition
Real-time face detection, identification, and verification. Multi-angle support, low-light optimization.
Computer Vision Biometric Real-time
Phase 1 🧹
3D Face Scanning
Depth-based facial geometry reconstruction. Generate detailed 3D mesh from RGB-D input. Landmark extraction.
3D Reconstruction Depth Sensing Mesh
In Dev 👁
Object Detection
Real-time multi-class object detection and instance segmentation. Cloud and edge deployment.
Detection Segmentation Edge AI
In Dev 👤
Pose Estimation
Full-body and hand pose estimation from single RGB. Skeleton tracking, gesture recognition.
Skeleton Gesture Body Tracking
Planned 🗣
Speech Recognition
Multi-language ASR with speaker diarization. Low-latency streaming and batch processing.
ASR NLP Streaming
Planned 🎬
Scene Understanding
Semantic and panoptic segmentation. Spatial relationship mapping for embodied navigation.
Panoptic Navigation Spatial AI
Community Modules

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.

From Idea to Deployment

synapex-lab — workflow
$ 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
01
Initialize
Create a project, select compute resources, load a base model from the repository. Everything configured in one command.
02
Train & Iterate
Train on distributed GPU clusters. Monitor progress, adjust hyperparameters, run experiments. Pay only for compute you use.
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Publish & Earn
Publish your model as a module. Register IP on-chain. Earn $SYNX every time another researcher or developer uses your work.

GPU Power — Owned, Not Rented

Pre-IDO · Cloud Phase
Akash Network & Vast.ai for agile R&D. Maximum flexibility, instant scale. Full focus on model development with zero hardware commitment.
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Post-IDO · First Server
Dedicated 4× RTX 4090 cluster. Protocol-owned, DAO-governed asset. Idle capacity rented for $SYNX. Cloud reserved for burst workloads only.
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Series A · Full Cluster
20–50 GPU colocation deployment. Complete compute independence. External revenue from cluster access. Strongest possible token backing.
Access Model

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.