home

The Monocle Bear

AI, by design.
Human, by instinct.

You’ve seen off-the-shelf AI.
The Monocle Bear builds AI that fits your business.

Agentic workflows. Hybrid infrastructure. Built-in governance.
Every solution is engineered for your operations, your infrastructure, your constraints.
$ ssh rack@themonoclebear — not a metaphor

Four ways to solve your problem.

Every engagement starts with the same question:
does AI actually solve your problem?
If yes, we build.
If not, I’ll tell you.
01 — Diagnosis

Strategy & Audit

Understand your business process before touching any tool. Identify where AI creates value — and where it doesn’t.

  • Process audit and AI use case mapping
  • Model benchmarking on your actual data
  • Technical and economic feasibility study
  • GDPR and EU AI Act compliance
02 — Build

Implementation

From diagnosis to deployment. Workflows, agents, advanced prompts — integrated into your environment, not alongside it.

  • AI workflows and multi-agent orchestration
  • Production-grade prompt engineering
  • Fine-tuning on your business data
  • RAG architecture on your documents
  • CRM, ERP, and internal API integration
03 — Control

Hybrid infrastructure

Your sensitive data stays on your premises. Everything else leverages the best of the cloud. No dogma — an architecture sized to your actual constraints.

  • Local LLM deployment (Llama, Mistral, Qwen)
  • Hybrid local + cloud orchestration
  • Vector databases (Chroma, Qdrant, Weaviate)
  • Multi-model strategy and intelligent routing
04 — Transfer

Training & Autonomy

My goal is to make myself unnecessary. Your teams autonomous within two weeks.

  • Advanced prompt engineering
  • Hands-on training with deployed tools
  • Workshops on your real business cases
  • Operational documentation

Human-Centered AI Design.

Making AI human. Humanity without artifice.

Your systems are designed so that AI processes, your teams decide.
Not the other way around.
01

Understand

Analyse your process. Pain points. Available data. Regulatory constraints. I listen before I propose.

02

Recommend

Model and tool selection. Technical architecture. Cost and ROI estimation. An evidence-based recommendation, not an opinion.

03

Build

Iterative deployment. Testing on your real data. Continuous adjustments. Code that runs, not mockups.

04

Measure

KPIs defined upfront. Performance tracking. If it doesn’t work, I’ll say so.

05

Transfer

Training. Documentation. Autonomy. My goal is to make myself unnecessary.

The Monocle Bear

Sensitive data. That’s the playing field.

Your organisation handles confidential information.
Privacy isn’t an option. It’s an operational constraint.

Some data must never leave your network.
Other data can leverage cloud power in full compliance.
The right architecture makes that distinction for you.

Your data belongs to you. Your AI is sized to your actual risks.
Non-negotiable.

Digital sovereignty & compliance.

Legal

Law firms, legal departments, compliance, GDPR

Finance

Banks, insurance, asset management, fintech, audit

Healthcare

Hospitals, biotech, medtech, clinical research

Models

Claude, Gemini, Mistral, Llama, Qwen, DeepSeek — empirical selection by use case

Orchestration

LangChain, LangGraph, CrewAI, Agent SDK, n8n

Vector DBs — RAG

Chroma, Qdrant, Weaviate, Pinecone

Infra

Apple Silicon, Ollama, LM Studio, MLX, Docker, Tailscale, Cloudflare Tunnels

No bullshit allowed.

The Monocle Bear runs its own AI lab.

Every model is benchmarked under real-world conditions.
Every recommendation is grounded in data,
not opinions.

No theory. Deployment.

I also speak at conferences — but only when the topic demands depth, not awareness.
The Monocle Bear

You have a project.

Let’s talk.

hello@themonoclebear.com

LinkedIn
Follow the latest news and insights on AI.

Follow us on Bluesky

Previous missions

BNP Paribas Fortis European Commission wearethewords