mBedLM Platform

Governed AI infrastructure for teams that cannot afford drift. Run local-first inference with policy-driven routing and production-ready orchestration.

One composable runtime for inference control, orchestration, and application execution across local and production environments.

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mBedLM model-agnostic routing

Model-Agnostic Routing

mBedLM routes tasks across local quantized models and cloud providers. Fast-path scripts handle simple requests while VIE escalates complex multi-turn workflows.

Nightjar shared-state execution

Shared-State Execution

Nightjar tracks variable-scoped state mutations across agent turns. Every effect handler is deterministic and reproducible, enabling rollback and auditing at any point.

Neural controller guidance

Neural Controller Guidance

RFM-based neural controllers steer inference layer-by-layer. Syntax steering and attention shaping improve output quality on constrained local hardware.

VIE orchestration

VIE Orchestration

VIE coordinates multi-agent workflows with policy enforcement, context isolation, and escalation controls. One orchestration surface for local and enterprise deployments.

Enterprise-grade deployment

Enterprise-Grade Deployment

Govern multi-agent operations with audit trails, inference budgets, and compliance controls. Scale from a single developer machine to cross-datacenter orchestration.

Core value pillars for production AI operations.

Pillar Implementation stance Operational outcome
Local-first control llama.cpp-compatible runtime path with quantized model support Start fast without waiting for cloud-only infrastructure
Deterministic orchestration Policy-aware routing, trust tiers, and stable response contracts Predictable integration behavior under load and fallback
Composable architecture Boundaries across serving, memory, orchestration, and adapters Easier testing, evolution, and domain expansion
Domain specialization Finance, marketing, OCR, and prediction-capable execution routes Higher task fit without fragmenting platform operations

From first local run to governed enterprise rollout

Use one narrative arc across the entire adoption path: establish local execution, validate architecture and operations, then scale into policy-driven enterprise deployment.

For individual builders
Start locally, ship fast

For organizations
Scale with full governance

Explore the full platform surface before rollout.

Deep Dives

Need implementation depth before rollout?

Explore integration design, runtime operations, and domain workflows from one governed platform narrative.