Boudica Torc
Own Your Own AI
& Cut Costs by 99%
Boudica Torc empowers organizations to train custom language models on their own infrastructure, at a fraction of the cost.
99.9% lower training
$5K vs $4.6M (GPT-3) / $2M (LLaMA-2)
✓ 100% on-premise
Your data never leaves the security & privacy of your infrastructure
Boudica Torc
Closing the "AI Trust Gap" with your own powerful BLM
Traditional AI models act as data vacuums, requiring unrestrained access to raw, sensitive data that creates unacceptable risks of exposure and non-compliance. This “AI Trust Gap” forces organizations to leave critical data siloed and unused.
Boudica Torc eliminates this fear by shifting from “renting” intelligence via public tools to owning your own private Business Language Model (BLM). Unlike standard models, your BLM ensures reliable, secure AI for business through a sovereign framework where intelligence remains your own.
By utilizing private infrastructure and air-gapped integrity, your sensitive data never “calls home” or leaves your secure perimeter.
The system automatically detects and redacts over 12 categories of sensitive data, including SSNs and medical records, before tokens are ever stored or used for training.
Every response is verified and anchored to your internal data, replacing probabilistic guessing with verifiable citations and grounding scores.
Security is decoupled from intelligence, allowing administrators to “Hot-Swap” safety rules via plain-text files to patch new threats in real-time without system downtime.
Powerful Features, Production-Ready
GPU-Accelerated Training
CUDA-optimized FP16 mixed precision. Train on NVIDIA A10, RTX 3090, or A100 GPUs. Linear scaling with NCCL distributed training.
RAG Integration
Retrieval-Augmented Generation reduces hallucinations by 85%. Ground outputs in your training corpus for factual accuracy.
LoRA Fine-Tuning
Low-Rank Adaptation for efficient fine-tuning. Adapt models to new domains without full retraining.
Multi-GPU & Multi-Node
Scale from single GPU to 1000+ node clusters. Theoretical maximum: 1T parameters. Tested on 4× A10 GPUs across 2 nodes.
Model Registry & Hub
Centralized model management. Version control. Performance metrics. Download statistics. Share models across your organization.
Production Deployment
Pre-built integrations: Apache, NGINX, Kubernetes. Docker containers. REST API. Web UI included. Deploy anywhere.
Security by Design
7+ prompt injection defense patterns. Content safety filtering. API key authentication. PII sanitization. Input validation at every layer.
Quantization
INT8 & INT4 quantization for faster inference. Reduce model size by 4-8x without significant quality loss.
Real-Time Monitoring
TensorBoard integration. PostgreSQL metrics storage. Web dashboard. Training visualization. Performance analytics.