We deploy production-grade AI systems with self-hosted and on-prem infrastructure that maintains complete data sovereignty. From vLLM optimization and model serving to enterprise-grade observability, we ensure your AI infrastructure scales securely while meeting ISO 27001, FCA, and healthcare compliance requirements from the foundation.
Kubernetes-native architecture with horizontal autoscaling, load balancing, and GPU-optimized scheduling. Support for Llama, Mistral, and custom fine-tuned models with sub-200ms latency targets.
Production deployment using vLLM and SGLang for optimized inference. Kubernetes-native architecture with horizontal autoscaling, load balancing, and GPU-optimized scheduling. Support for Llama, Mistral, and custom fine-tuned models with sub-200ms latency targets.
Air-gapped and private cloud deployments that keep your data within your infrastructure. VPC isolation, network policies, and private endpoints. Offline model updates and secure weight distribution for sensitive environments.
Hybrid retrieval pipelines combining dense and sparse methods with cross-encoder reranking. Vector database integration (Qdrant, Milvus, pgvectorscale) with optimized embedding pipelines. Citation generation and source attribution for auditable responses.
GPU utilization optimization with continuous batching, KV-cache management, and speculative decoding. Quantization strategies (AWQ, GPTQ) for cost-efficient deployment. Model routing for budget-aware workload distribution across model tiers.
Full-stack monitoring with Prometheus, Grafana, and custom AI metrics. Token-level cost tracking, latency percentiles, and throughput dashboards. Anomaly detection with automated alerting and incident response integration.
Production AI systems deployed entirely within your infrastructure with complete data sovereignty.
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flowchart TB
subgraph YourInfra["Your Infrastructure"]
subgraph Client["Client Layer"]
API[API Gateway]
Auth[Authentication]
end
subgraph Serving["Model Serving Layer"]
vLLM[vLLM / SGLang]
Router[Model Router]
Cache[KV Cache]
end
subgraph RAG["RAG Pipeline"]
Embed[Embedding Service]
VectorDB[Vector DB]
Rerank[Cross-Encoder Reranker]
end
subgraph Infra["Compute Infrastructure"]
K8s[Kubernetes]
GPU[GPU Cluster]
end
subgraph Observability["Observability Stack"]
Metrics[Prometheus]
Dash[Grafana Dashboards]
Alerts[Alerting & Incidents]
end
subgraph Security["Security Layer"]
VPC[VPC Isolation]
Encrypt[AES-256 / TLS 1.3]
RBAC[RBAC & Audit Logs]
end
end
API --> Auth
Auth --> Router
Router --> vLLM
Router --> Cache
vLLM --> GPU
API --> Embed
Embed --> VectorDB
VectorDB --> Rerank
Rerank --> vLLM
K8s --> GPU
vLLM --> Metrics
Metrics --> Dash
Dash --> Alerts
VPC --> Auth
Encrypt --> vLLM
RBAC --> API
Structured pilot-to-production methodology designed for on-prem deployments in regulated environments.
Threat modelling, data audit, and workflow mapping. We assess your infrastructure requirements, compliance constraints, and performance targets. Baseline metrics definition and success KPIs aligned to your business objectives.
60 to 90 day structured pilot with constrained scope and clear success criteria. Evaluation harness development, security review, and production planning from day one. Stakeholder UAT and iterative refinement based on real workload testing.
SLO definition and enforcement, autoscaling configuration, and comprehensive runbook development. Model routing implementation, cost optimization, and continuous evaluation pipelines. Handover documentation and team training for operational independence.
VPC with private subnets and no public endpoints. Zero-trust network policies. Service mesh encryption with mTLS. Air-gapped deployment support for highest-security environments. HSM integration for key management.
Llama 3 70B on dedicated GPU with vLLM, fine-tuned on anonymised claim interactions, deployed with zero external network dependencies. Manual load down 80%, citations on 100% of responses, GDPR Article 28 processor posture.
Read the case →30-minute call. Engineering discovery memo within five working days. A go or no-go on week two.