We provide fast, reliable AI inference and help companies build scalable, production-ready systems — in the cloud and on-prem.
End-to-End AI Solutions
ML/AI inference, RAG systems, AI agents, GPT-like chats.
Rapid MVP Delivery & Scale
We architect and deliver data-intensive, high-performance systems that grow with you.
Cost & Performance Optimization
Launch fast with lean, focused prototypes that solve real problems.
High-Performance Applications
Optimize for performance, scalability, and cost without sacrificing reliability.
Production-Grade MLOps/LLMOps/DataOps
Bring structure, repeatability, and automation to your AI lifecycle.
Anton Plotnikov
- Software Engineering
- MLOps Engineering
Aleksandr Beloglazov
- MLOps Engineering
- DevOps Engineering
Model Types
ASR, TTS, LLMs, embeddings, image & video models
Inference & Serving
NVIDIA Triton, TensorRT, ONNX Runtime, vLLM, SGLang, DeepSpeed, TorchServe, KServe, BentoML, Ray Serve, OpenLLM, Hugging Face TGI
Experimentation
MLflow, ClearML, Weights & Biases, neptune.ai
Orchestration & Scaling
Ray, KubeRay, Slurm, Kubeflow Pipelines, Flyte, Metaflow, Airflow
GPU Infrastructure
CUDA, cuDNN, TensorRT
Versioning & Registry
MLflow, DVC
Cloud Platforms
AWS, GCP, Azure, on-premise, hybrid
Kubernetes
Helm, Kustomize, Argo CD, Istio
Infrastructure as Code
Terraform, Pulumi, Ansible
CI/CD
GitHub Actions, GitLab CI, Argo Workflows
Metrics
Prometheus, VictoriaMetrics
Logs
ELK (Elasticsearch, Logstash, Kibana), Loki, FluentBit
Tracing & Profiling
OpenTelemetry, Jaeger, Tempo, Pyroscope
Dashboards
Grafana, Superset, Metabase
Batch/Stream Processing
Apache Flink, Apache Spark, Apache Pulsar, Apache Kafka
Analytical Datastores
ClickHouse, Snowflake, Databricks
DataOps & Orchestration
Apache Airflow, Prefect
ETL
dbt