Westmind Ltd. is an AI engineering studio. We architect multi-agent systems, deploy them on NVIDIA-grade infrastructure, and operate the inference layer that keeps them running 24/7. From the first whiteboard sketch in Mermaid, to OpenClaw in development, to NemoClaw in production — one partner, full ownership.
Architecture, software, models and inference under a single roof. We bring the disciplines required to ship an AI product to production — and to keep it there.
System design for AI products: agent graphs, data flow, model selection, retrieval, evaluation, guardrails and cost modelling — translated into a concrete technical blueprint your team can execute.
Full-stack development of AI-native applications — backends, agentic workflows, RAG pipelines, fine-tuning loops, and user-facing interfaces — built to be observed, tested, and maintained.
We operate the runtime: GPU and CPU serving, quantisation, batching, autoscaling, monitoring, and SLA management — on cloud, on-prem, or at the edge. Predictable latency, predictable cost.
Advisory engagements for technical leaders: build-vs-buy decisions, vendor selection, AI readiness audits, and roadmaps that align model capability with business reality.
Retrieval systems over your proprietary data — indexed, evaluated, and tuned. We connect models to the documents, databases, and tools your teams actually rely on.
Fine-tuning, distillation, and small-model deployment — when off-the-shelf APIs aren't the right fit for cost, latency, privacy, or capability reasons.
We set up agentic AI working mechanisms for partner companies — from the first workflow sketch, to a supervisor-worker stack running behind enterprise guardrails. Three tools, one pipeline.
Every engagement starts with a diagram. We translate business logic into agent graphs — supervisor, workers, tools, retries, guardrails — visualised in Mermaid before a line of code is written. The diagram is the contract.
We build the system on OpenClaw — the open-source multi-agent orchestration framework — with sandboxed execution per agent, tool integrations, and clean bridges to LangChain, LlamaIndex, and Semantic Kernel. Audit logs and per-agent YAML policies from day one.
For production we wrap it in NVIDIA NemoClaw: NeMo Guardrails on every input and output, native Nemotron models via NIM, GPU-optimised inference, and one-command install. Self-evolving agents, with the safety rails enterprise demands.
Stack-agnostic in principle, opinionated in practice. These are the areas where we ship fastest and most reliably.
A short, structured path from the first conversation to a running system in production.
We map the problem, the data, the constraints, and what "good" looks like — measurably.
Mermaid diagrams, model choices, evaluation plan, GPU sizing and cost envelope — written down.
Iterative development on OpenClaw with weekly demos. Evaluations gate every milestone, not vibes.
NemoClaw-wrapped deployment on NVIDIA hardware. We run it — or hand off cleanly to your team.
Tell us about it. We reply to every serious inquiry within two working days, usually with questions of our own.