Your AI, Running on Your Own Ground

Cloud APIs work fine—until data compliance, latency, and monthly bills all hit at once. We move your AI stack onto your own servers: compute you own, data that never leaves, costs you can predict. No dependence on any cloud vendor's goodwill.

Core Capabilities

Private LLM Deployment

vLLM, Ollama, and TGI inference frameworks for Llama 3, Mistral, Qwen, and other leading open-source models. GPU utilization tuned to 90%+, with Continuous Batching for high-concurrency scenarios.

Vector Database & Retrieval Systems

Qdrant and Weaviate deployment and tuning for billion-scale vector retrieval. Shard and replica strategies for high availability. Hybrid retrieval (HNSW + BM25) for precision recall.

MLOps Pipeline

Full automation from data collection, cleaning, and fine-tuning to evaluation and canary deployment. Model versioning with MLflow, A/B canary switching, one-click rollback.

Monitoring, Alerting & Observability

Prometheus + Grafana full-stack monitoring: inference latency (P50/P95/P99), GPU temperature, VRAM usage, request failure rate. Second-level anomaly alerting.

Auth & Encryption Module Development

We build the private intranet deployment, the API gateway auth module (JWT/mTLS), and end-to-end encryption. The architecture references data-protection practices common in financial and healthcare settings; clients remain responsible for assessing their own compliance obligations. Supports fully air-gapped offline operation.

Typical Deployment Configurations

Small Private (Single Node)

1×A100/H100, serves up to 50 concurrent users—ideal for early POC or internal tools

Mid-Scale Cluster (3-8 Nodes)

GPU cluster with load balancing and horizontal scaling—suited for externally serving AI products

Hybrid Cloud Architecture

Private inference handles sensitive data; cloud elasticity absorbs traffic spikes—compliance meets flexibility

Disaster Recovery & HA

Active-active architecture, automatic failover, scheduled snapshots—99.9% availability target (SLA terms per contract)

Deliverables

Complete deployment docs and architecture topology diagrams

Automated ops scripts (backup / update / scale)

GPU utilization and inference performance benchmarking report

Monitoring dashboard (Grafana config files)

3-month post-delivery defect-fix warranty for our code (excludes client-owned server hardware or network incidents)

Who It's For

Financial, healthcare, and government organizations with strict data sovereignty requirements

High-frequency AI applications where cloud API costs have become a major cost center

Production environments requiring low-latency inference without external network dependency

R&D teams planning private fine-tuning of open-source models

Compute and data. Fully under your control.

Tell us your specific situation. We'll give you a targeted proposal—not a generic template.

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