Enterprise AI Engineering • Deterministic RAG • MLOps

Production-Grade AI Systems Engineered for Predictable Enterprise Outcomes.

We design, fine-tune, and deploy deterministic AI systems, high-accuracy RAG architectures, and sovereign on-premise LLMs for regulated UK enterprises. Zero hallucinations, complete data privacy, and strict enterprise guardrails.

< 500ms

Vector Retrieval Latency

Zero-Hallucination

Deterministic Guardrails

100% Sovereign

Private Cloud / On-Premise LLMs

PRODUCTION AI & MLOPS DISCIPLINES

From Experimental Notebooks to Mission-Critical Inference Engines.

We bridge the gap between AI research and production reliability, ensuring every model delivers measurable business accuracy and strict regulatory compliance.

Enterprise RAG & Semantic Search

Pinecone, Qdrant, Milvus, pgvector, LangChain, LlamaIndex

Deterministic Retrieval-Augmented Generation (RAG) meshes ground enterprise knowledge bases in verified factual documents, eliminating hallucinations.

  • Hybrid dense & sparse BM25 retrieval with cross-encoder re-ranking.
  • Document chunking, hierarchy parsing, and metadata filtering pipelines.
  • Sub-500ms end-to-end question-answering over millions of enterprise records.

Fine-Tuning & Model Distillation

Llama 3, Mistral, QLoRA, LoRA, DeepSpeed, vLLM

Domain-adapted open-source LLMs fine-tuned on corporate proprietary datasets, offering sovereign control and eliminating cloud API subscription lock-in.

  • Parameter-Efficient Fine-Tuning (PEFT) on proprietary business taxonomies.
  • Knowledge distillation creating small, high-throughput edge models.
  • 100% on-premise or private cloud VPC deployment for strict data residency.

Automated MLOps & Guardrails

NeMo Guardrails, MLflow, Triton Inference Server, Kubernetes

Institutional-grade governance layers detecting prompt injection, toxic outputs, and personally identifiable information (PII) before model generation reaches users.

  • Input sanitization and output verification with automated NeMo Guardrails.
  • Continuous model monitoring, concept drift tracking, and automated retrain triggers.
  • Triton high-concurrency dynamic batching for multi-GPU inference efficiency.

Predictive Analytics & Computer Vision

PyTorch, TensorFlow, XGBoost, Feast Feature Store, OpenCV

Real-time regression, classification, and visual inspection pipelines processing high-velocity telemetry streams for industrial and financial operations.

  • Feature store orchestration ensuring training-serving data parity.
  • Edge-optimized neural networks for real-time video and image processing.
  • Automated model explainability (SHAP/LIME) for regulatory compliance.
AI SYSTEMS DELIVERY LIFECYCLE

Disciplined MLOps from Data Feasibility to Production Monitoring.

01Days 1–4

Discovery & Data Feasibility

Audit of enterprise documents and data stores, evaluation of data quality, and ROI feasibility analysis.

02Days 5–8

Guardrail & Prompt Mesh

Architecting deterministic prompt templates, validation guardrails, and vector chunking topologies.

03Days 9–14

Fine-Tuning & RAG Build

Model domain adaptation, hybrid vector indexing, evaluation harness testing, and hallucination reduction.

04Milestone QA

MLOps Pipeline Cutover

Triton / vLLM serving containerization, latency load tests, and security penetration testing.

05Production SLA

Sovereign Handover

Deployment into private VPC, continuous drift monitoring configuration, and 100% IP transfer under English law.

London AI Engineering Advisory • Confidential Technical Scoping

Ready to Build Your Production AI Architecture?

Schedule a 15-minute scoping session with our London AI engineering team. We evaluate your data readiness, test vector architectures, and map a clear path to high-accuracy model deployment.

Registered Office: Hayes, London, United Kingdom • 1-Day Response SLA under Mutual NDA