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AI trust and compute infrastructure.

We help organizations verify digital identity, detect AI-generated impersonation, and deploy AI workloads on trusted GPU infrastructure. Our platform combines identity intelligence, deepfake detection, workflow integrity, and AI compute orchestration for companies building in the age of generative AI.

Product

SafeTrust Verify

AI identity verification and deepfake detection platform

SafeTrust Verify helps organizations verify digital identity and detect AI-generated impersonation in remote workflows. The platform combines document and selfie matching, liveness checks, deepfake detection, session integrity, and risk scoring for hiring, education, fintech onboarding, and enterprise compliance teams.

  • Identity document and selfie matching
  • Liveness and anti-spoofing checks
  • Deepfake and AI-generated video detection
  • Remote interview and session integrity
  • Risk scoring and review dashboard
  • API-first integration for platforms and enterprises
SafeTrust Verify · verification sessionSample preview
Session IDDEMO-VERIFY-001
Identity match98.4%
LivenessPassed
Deepfake riskLow
Document checkMatched
Architecture
User capture
SafeTrust Verify API
Liveness / deepfake models
Risk scoring
Review dashboard / API result
Explore SafeTrust Verify
Product

SafeTrust Compute Gateway

GPU compute access and orchestration platform for AI teams

SafeTrust Compute Gateway helps startups and enterprises access and orchestrate trusted GPU capacity for training, fine-tuning, and inference. The platform provides workload routing, deployment templates, usage metering, cost visibility, and billing workflows so AI teams can scale workloads without managing complex infrastructure operations.

  • GPU workload orchestration
  • Training, fine-tuning, and inference routing
  • Containerized AI deployment templates
  • Usage monitoring and metering
  • Cost visibility and customer billing workflows
  • Support for NVIDIA GPU-based infrastructure
SafeTrust Compute Gateway · operationsSample preview
Training jobs
3 running
Inference endpoints
5 active
Usage (24h)
412 GPU-hrs
Cost (MTD)
$ — visible
Workload queue
ft-llama-3-8bFine-tuneRunning
train-vision-encoderTrainingQueued
infer-rerank-v2InferenceHealthy
Architecture
Customer workload
SafeTrust Compute Gateway API / dashboard
Scheduler + metering
Trusted GPU infrastructure
Model endpoint / job result
Explore SafeTrust Compute Gateway

Built for cloud-native AI infrastructure

Safe Trust Lab AI uses or evaluates Google Cloud services such as Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Storage, BigQuery, Vertex AI, and Gemini APIs. For GPU workloads, the company is evaluating NVIDIA GPUs, CUDA, TensorRT, Triton Inference Server, NVIDIA NIM, NVIDIA AI Enterprise, DGX Cloud, and NGC containers. The application layer uses or evaluates Kubernetes, Docker, PyTorch, Hugging Face, FastAPI, PostgreSQL, Redis, and usage-based billing systems.

Cloud & data (Google Cloud)
Compute EngineGoogle Kubernetes EngineCloud RunCloud StorageBigQueryVertex AIGemini API
GPU & inference (NVIDIA)
NVIDIA GPUsCUDATensorRTTriton Inference ServerNVIDIA NIMNVIDIA AI EnterpriseNVIDIA DGX CloudNGC containers
Application & data layer
KubernetesDockerPyTorchHugging FaceFastAPIPostgreSQLRedis
Safe Trust Lab AI builds cloud-native AI infrastructure for trusted identity verification, deepfake detection, and GPU workload orchestration. Technologies are described as “uses or evaluates” / “is evaluating” where not yet in production; Safe Trust Lab AI is a member of NVIDIA Inception.