OpenVals
OpenLxM™ Sovereign AI Engine

Build & Deploy.
Private, Sovereign AI with Enterprise Control.

Engineer and deploy scalable, private, sovereign AI solutions with enterprise-grade control. OpenLxM gives regulated organizations total custody over their models, weights, data pipelines, and inference infrastructure—free from third-party vendor lock-in or public API leakage.

Complete Enterprise Custody Across the Entire AI Stack

Move beyond external black-box APIs. OpenLxM equips engineering teams to build, fine-tune, and deploy state-of-the-art models within strictly governed corporate environments.

1. Private & Sovereign Execution

Deploy foundation models within your isolated VPC or physical on-prem datacenter. Zero third-party telemetry, zero external logging, and guaranteed geographic data residency.

Air-gapped and offline installation support
Cryptographic boundary isolation
Zero training on your proprietary enterprise data

2. High-Throughput Scalable Inference

Engineered with state-of-the-art serving runtimes (vLLM, TensorRT-LLM, Triton). Maximize tokens per second per watt while cutting infrastructure GPU footprint in half.

PagedAttention with continuous request batching
Sub-millisecond token generation latencies
Auto-scaling inference swarms on Kubernetes

3. Domain Adaptation & Quantization

Infuse models with internal enterprise intelligence. Fine-tune parameters on proprietary data and compress checkpoints via precision quantization without accuracy degradation.

LoRA, QLoRA, and DPO alignment pipelines
FP8, AWQ, and INT4 weight compression
Deterministic structured output & grammar enforcement

4. Enterprise Governance & Control

Enforce strict access controls, semantic guardrails, and cryptographic auditability across all model interactions, satisfying international compliance and board oversight.

Role-based access control (RBAC) & mTLS endpoints
Pre-execution prompt firewalls & PII redaction
Tamper-evident audit logging and token billing tracking