End-to-end engineering services from GPU provisioning to production model serving and security automation.
Deploy and operate large language models on your own infrastructure. We build production vLLM clusters on GKE and OpenShift with GPU autoscaling, model weight caching, and OpenAI-compatible API endpoints.
Keep your data private, control your costs, and eliminate vendor lock-in. Our deployments serve Llama, Mistral, Qwen, and other open-weight models with enterprise-grade reliability.
Build intelligent retrieval-augmented generation pipelines that go beyond simple search. Our agentic RAG systems use tool-calling agents, persistent memory, and multi-step reasoning to answer complex queries over your data.
From vector database selection and embedding strategy to agent loop design and tool integration, we architect the full pipeline.
Intelligent surveillance systems that combine computer vision, natural language processing, and real-time alerting. Query your security footage in plain English and get instant, context-aware answers.
Our CV pipelines process camera feeds through multi-model detection (YOLO, Mask R-CNN), generate embeddings (CLIP) and captions (BLIP), and store everything in a searchable vector database.
Production Kubernetes clusters designed for AI workloads. We handle the entire infrastructure lifecycle: VPC networking, GPU node pools, IAM, storage, CI/CD, and monitoring.
Everything is codified in Terraform and Helm, version-controlled in Git, and deployed through automated pipelines. No manual kubectl required.
Flexible engagement models tailored to your needs.
Fixed-scope engagements with clear deliverables. Ideal for migrations, new deployments, and architecture reviews.
Ongoing support for your AI infrastructure. Monitoring, scaling, upgrades, and on-call incident response.
Architecture reviews, technology selection, and strategic guidance for your AI and infrastructure roadmap.
Tell us about your project and we'll scope the right engagement for your needs.
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