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To take a model from experiment into production, we bring experiment tracking, model records, serving and monitoring together. GPU capacity is planned around the actual workload.
Platform layers
- Experiment tracking and metadata: MLflow and Weights & Biases for parameters, metrics and artifacts
- Model registry and feature store: MLflow Registry and Feast for training-serving consistency
- Pipeline orchestration: Kubeflow Pipelines, Airflow, Dagster, ZenML (Kubernetes-native execution)
- Labeling and dataset management: Label Studio, with labeled data stored on object storage
- Serving: REST/gRPC on KServe and BentoML; Triton Inference Server for GPU workloads; vLLM for large language models
- Hardware layer: NVIDIA driver, containerd configuration, device plugin and MIG slices
How we work
- Data, code and model versions recorded in the model registry
- Human approval, audit trail and reversible releases from staging to production
- Predictions traceable back to the data and code version that produced them
- Isolated experiment environments and KVKK-compliant data masking
Monitoring and evaluation
- Production drift: Evidently and WhyLabs for data and prediction drift
- Data quality checks: Great Expectations and Soda for training and inference data validation
- Live metrics: latency, throughput and error rate on the same dashboard as service telemetry via OpenTelemetry
- Eval harness: regression tests, A/B comparison and shadow deployment for low-risk validation
Other services
AI agent development
We build agents connected to your systems to reduce repetitive support, document and data work. We define data access and human approval steps upfront.
LLM platform
Model access, RAG and evaluation for answers grounded in enterprise data. Data boundaries and usage costs are part of the design.
Agentic modernization
LLM agents prepare repetitive code changes; code review and tests verify each change. Our team remains responsible for architectural decisions.
Application modernization
Backed by our App Modernization on Microsoft Azure specialization, we modernize legacy .NET and Java applications in stages, protecting working business processes with tests.