Service · Generative AI

Generative AI Applications

AI tools your team will actually use. Built on your data, on your terms.

We build internal agents, content generation tools and code copilots tuned to your data, your brand voice and your exact workflows — all deployed on private model infrastructure that keeps your intellectual property off shared training pipelines. Scoped tight, shipped fast, useful from day one.

4–6w
Typical delivery timeline
0
Data shared with model providers
Private
LLM deployment by default
Content output speed
What we deliver

Everything you need, nothing you don't.

Internal AI agents

Agents that query your knowledge base, CRM, documents or internal APIs to answer questions, generate drafts and complete tasks — fully auditable, with human review gates.

Content generation tools

Brand-voice-aligned tools for marketing copy, product descriptions, reports and proposals — trained on your style guide, not generic web text.

Code copilots

Developer productivity tools tuned to your codebase conventions, tech stack and internal libraries. More useful than generic coding assistants, less risky than public ones.

Document intelligence

Structured extraction, summarisation and Q&A over your document corpus — contracts, research reports, compliance docs, product specs. Fast answers from large document sets.

Private LLM deployment

On-premise or private cloud deployment of open-weight models for maximum data control. We handle fine-tuning, serving infrastructure and latency optimisation.

Evaluation & guardrails

Output quality evaluation, hallucination detection, toxicity filtering and human-in-the-loop review workflows — because reliable AI products need more than a good prompt.

How it works

A clear process. No surprises.

We run every engagement against a repeatable framework — so you always know what's happening and why.

01

Use case scoping

We identify the highest-value use case — the one where AI output quality is measurable and the ROI is clear. We don't build general-purpose assistants and call it done.

02

Model selection & data prep

We select the right base model, prepare your domain data for fine-tuning or RAG, and define the evaluation criteria before any model is deployed.

03

Build & evaluate

Iterative build with rigorous output evaluation at each stage. We measure quality against your criteria — not just perplexity scores or vibes.

04

Private deploy & handover

Deployment on your infrastructure with monitoring, usage analytics and a runbook your team can follow. The model is yours.

Built for

Common use cases.

Internal knowledge managementMarketing & content workflowsDeveloper productivityContract & document analysisCustomer communicationsResearch & synthesis

Every situation is different. A free audit maps your exact starting point — no templates, no guesswork.

Next step

Let's map your exact opportunity.

The audit is free and takes 45 minutes. You'll leave with a prioritised shortlist of AI opportunities, a risk map and a concrete next step — whether you work with us or not.