Custom LLM Systems
Lightweight, domain-specific, fully private.
Objective-specific LLMs trained on enterprise corpora — deployed on private infrastructure, without open-source model weights in the pipeline.
What's in the pillar.
- Objective-specific lightweight LLMs→ Per-query cost falls 80–95% vs. frontier-model API calls; latency hits real-time SLAs.
- Private, secured infrastructure deployment→ Air-gap compatible. No public model weights, no prompt-logging exposure.
- Domain vocabulary training→ Accuracy on technical and regulated content where general-purpose LLMs hallucinate.
- Prompt engineering & PEFT tuning→ Customise without retraining from scratch — weeks, not months.
- Retrieval-augmented generation over proprietary data→ Answers grounded in your documents, traceable to source. Audit-grade.
- Generative AI — VLM / LSLM multimodal→ Visual + language reasoning where neither modality alone solves the workflow.
Where it pays off.
- Aviation Maintenance Documentation
- Legal Knowledge Retrieval
- Regulated Industries requiring air-gapped deployment
- Technical Support & Knowledge Management
Proven starting points. Custom-fit per engagement.
These are not SaaS products. Each one is a production-proven custom llm systems architecture we adapt to your data, workflow, and regulators — and deliver as a system your enterprise owns.
Objective-specific, lightweight LLM trained on a client's aero-engineering manuals, technical documentation, maintenance support, and repair procedures. Private, secured infrastructure. 50% reduction in technical issue detection time.
Deploys PEFT-tuned, domain-vocabulary LLMs with a retrieval layer that never leaves the client's perimeter — no public model weights in the pipeline, no vendor lock-in on the model itself.
Where this pillar shows up in production.
All five run on the same framework.
Unstructured documents → structured, auditable data.
Calls → compliance, sentiment, fraud signals.
Pixels → pattern, behavior, and object insight.
Historical + real-time data → forward decisions.
Not ready for AI yet? Want to chat about possibilities?
No pitch, no pressure. Just a conversation about where AI could fit, or where it can wait. Bring your skepticism — we'll bring ours.
Scope a LLMs POC.
Bring your use case and the data. A CoE architect will draft the custom llm systems pipeline for your workflow in a 30-minute call.