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What we do

The full capability stack of an applied-AI studio.

From flagship agentic systems down to the IoT and cybersecurity foundations underneath — everything we do, in one place.

What we do · 01

Capabilities, not features.

Five practice areas covering the lifecycle of an AI product — from the architecture sketch on a napkin to the on-call rotation that keeps it running.

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Flagship

Agentic AI that ships work, not demos.

Multi-agent systems with planning, memory and tool use — wired into your real data, your real workflows, and your real guardrails.

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Generative AI

LLM applications, end-to-end.

Prompts, RAG, evals, observability and deployment — production-grade from day one.

embedding · 1536-d
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Architecture

AI architecture & strategy.

Reference architectures, model selection, latency & cost economics, governance.

L1Strategy
L2Models & Evals
L3Data layer
L4Runtime
L5Operations
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Data Platforms

Data foundations for AI.

Lakehouse, feature stores, embeddings infrastructure, real-time pipelines.

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MLOps

ML systems, productionised.

Training, evaluation, drift detection and lifecycle — the unglamorous parts done right.

training84%
eval-suite92%
production78%
drift12%
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How we work · 04

Four phases. One team.

The way we deliver hasn't changed in twelve years, even though the technology has. Discover, architect, build, operate — and the same people through all of it.

01

Discover

Workshops with your domain experts. We map the workflow, surface the constraints, and identify where intelligence actually moves the needle.

DiscoveryWorkshops
02

Architect

Model selection, system design, eval framework, cost & latency budgets. The blueprint before the build.

ArchitectureEvals
03

Build

Tight iteration loops. We ship a working slice in weeks, not a slide deck in quarters. Your team is in the room.

PrototypeIterate
04

Operate

Observability, guardrails, drift monitoring, on-call. We hand off when you're ready — and keep the lights on while you grow into it.

MLOpsHandoff
The full menu · 05

Everything we also do well.

Beyond the AI core, we ship the foundations. Cloud, data, integration, security and the rest of the boring-but-critical stack — the things that make AI actually useful.

Generative AI

LLM apps, RAG, copilots, summarisation.

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Agentic AI

Planning, tool use, multi-agent orchestration.

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AI Governance & Compliance

Audit-grade outputs, behavioural frameworks, 14-framework compliance gates.

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Machine Learning

Forecasting, classification, recommenders.

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Data Analytics

Pipelines, lakehouse, real-time analytics.

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Business Intelligence

Decision dashboards & data products.

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Digital Transformation

Re-platforming and operating-model work.

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Cloud & DevOps

AWS, Azure, GCP — CI/CD, IaC, SRE.

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API & Integration

Headless services, event-driven systems, MCP servers.

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IoT & Edge

Connected devices, gateways, edge ML.

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AR / VR

Immersive interfaces for training & ops.

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Blockchain

Smart contracts, tokenisation, custody.

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Cybersecurity

Threat modelling, AI red-teaming, audits.

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Consultancy

Fractional CTO, advisory, due diligence.

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Roadmap & Strategy

Technology roadmaps for ambitious teams.

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Grant Funding

Application support for R&D & innovation grants.

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Start a project · 08

Have a real
problem worth
solving?

Most engagements start with a 30-minute conversation and a short architecture sketch. No SOW theatre, no boilerplate decks.

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