cloudfloo.io
02.0 · SERVICE

AI & MACHINE LEARNINGML that has a P99, not a personality.

Custom model training, fine-tuning, and MLOps on Kubernetes. We won't pitch you a model-of-the-month. We pick what fits your latency budget, your cost ceiling, and the data you actually have.

CAPABILITIES

Custom model training & fine-tuning

PyTorch, JAX. LoRA / QLoRA for cost control.

Intelligent automation

RAG, agents, document pipelines.

Predictive analytics

Time-series, forecasting, anomaly detection.

MLOps & model monitoring

Drift, eval suites, A/B harness.

STACK
PyTorchHugging FaceTritonRayKubeflowMLflowWeights & Biases
DELIVERABLES
  • Reproducible training runs (data + code + seed + metrics).
  • Serving infra sized to your traffic. Auto-scale or fixed, your call.
  • Eval suite that catches regressions before they ship.
  • Cost model: $/1K requests, not $/month-of-handwaving.
PROOF
P99 < 80ms
Custom recommender inference
Travel tech client
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