I build the Internal Developer Platform for enterprise AI.
Writing an AI app is easy. Governing and scaling it is hard. I centralize your organization's AI traffic, control the spend, keep the data inside your perimeter, and squeeze every cycle out of your GPUs.
Traffic, governed end to end.
Enterprise Apps
Requests
AI Gateway (LiteLLM)
K8s pod · routing + budgets
Guardrails Sidecar
PII masking · injection defense
On-Prem GPU / Cloud API
Split by data sensitivity
AI API Gateways & Cost Control
Centralize every team's AI traffic behind a unified, OpenAI-compatible gateway (LiteLLM) on Kubernetes. Load-balance across 140+ providers, add semantic caching, automatic fallback routing, and hard per-team token budgets to stop runaway inference bills.
- LiteLLM proxy on K8s
- Semantic caching
- Per-team token budgets
- Provider fallback routing
Data Residency & Compliance
Your data never leaves your perimeter. VPC-native, air-gapped, and hybrid deployments that keep sensitive workloads on-prem while non-sensitive traffic bursts to cloud — with localized open-weight models, AES-256 at rest, and TLS 1.3 in transit.
- Air-gapped K8s
- Llama / Mistral self-hosting
- GDPR / CCPA / PDPA
- Hybrid on-prem + cloud
GPU / TPU Orchestration
High-throughput, maximum-utilization inference infrastructure. Dynamic GPU/TPU node selection, autoscaling with Kueue/Ray, and multi-tenant isolation so high-priority workloads always get compute and hardware never sits idle.
- NVIDIA device plugin
- Kueue / Ray scheduling
- Distributed inference
- Multi-tenant isolation
AI Guardrails & Governance
Secure by default. Guardrails at the proxy level — PII masking (Presidio), prompt-injection detection, and secret redaction before prompts hit a model — plus JWT/SSO, RBAC, full audit logs, and Prometheus/Grafana observability.
- PII masking (Presidio)
- Prompt-injection defense
- RBAC + SSO
- Audit logs & telemetry
Stop bleeding money on public LLM APIs.
Enterprise delivery — MSAs, SLAs, and compliance — runs through MooreTech.