A Thin Language Model for the factory floor. Grounded reasoning across operations, quality, and supply chain — running locally on Apple Silicon.
FR-Forge covers the reasoning tasks that matter in manufacturing — without sending your operational data to a cloud.
Interpret production metrics, flag throughput anomalies, and surface root causes from machine logs and shift reports in natural language.
Parse inspection records, correlate defect patterns with process parameters, and draft corrective action summaries grounded in your data.
Reason over supplier data, lead times, and inventory levels to surface risks and recommend reorder decisions with traceable logic.
Analyse equipment telemetry and maintenance history to predict failure windows and prioritise preventive interventions.
Extract structured data from SOPs, work orders, and compliance documents — no cloud, no latency, no data leaving the site.
Decompose complex production scheduling problems into ordered steps, with self-correction when constraints shift mid-plan.
Distillation from frontier reasoning into a weight set that fits on a MacBook Pro. No cloud, no API key, no latency.
Trained on a proprietary corpus of manufacturing SOPs, maintenance logs, quality records, supply chain data, and industrial domain literature — curated and reviewed in-house.
We use frontier models as teachers, extracting reasoning chains specific to manufacturing contexts. The student model learns to replicate the judgment, not just the vocabulary.
Efficient parameter fine-tuning on Apple Silicon with MLX, producing a 4-bit quantized model that runs at inference speeds practical for real-time operational use.
Runs locally. Your operational data stays on your machine. No egress, no rate limits, no subscription — integrate via the MLX Python API or our REST wrapper.
Evaluated on manufacturing-domain reasoning tasks. FR-Forge outperforms models 10× its size on domain-specific benchmarks.
Download the weights, integrate via the API, or commission a bespoke version trained on your proprietary data.