NVIDIA- and Nebius-grade ML platforms: GPU infra, training, serving, and MLOps.
AI/ML Engineering & MLOps
Custom
We build the platform that takes your models from notebook to production and keeps them there: GPU infrastructure, training and fine-tuning pipelines, low-latency serving, feature stores, and full MLOps with monitoring and drift detection.
GPU infrastructure and orchestration (NVIDIA, on-prem or cloud, incl. Nebius)
Training and fine-tuning pipelines (distributed, reproducible, cost-aware)
Model serving at low latency (real-time and batch) with autoscaling
LLMOps and RAG: retrieval, evals, guardrails, and prompt/version management
Feature stores and data/version lineage
Model monitoring: drift, quality, and cost observability
CI/CD for models and a human-in-the-loop release process
Deployable applications we build and run, not slideware.
Financial services
Real-time fraud detection
Credit scoring and underwriting
AML transaction monitoring
Healthcare
Medical-imaging triage
Clinical risk prediction
Documentation copilots
Retail & e-commerce
Recommendations
Demand forecasting
Dynamic pricing
Telecom
Churn prediction
Network anomaly detection
Capacity planning
Manufacturing
Predictive maintenance
Computer-vision quality control
Yield optimization
Logistics & mobility
Route optimization
ETA prediction
Demand planning
4. Grow and hire: Stratiflux Academy
Seats are free or near-free for selected talent. Selection is the gate, not money. We make our money from companies, delivery, training, and hires, not from students.
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Engineers from the academy whose work was verified mission by mission, not claimed on a CV. Browse profiles, express interest, post roles.