Pyrphoros Group

Marketing and AI.

A specialist consultancy for businesses that know what they need built.

Senior only
You work directly with the people building your system. No layers, no handoffs to junior staff.
Fixed scope
Defined deliverables and a defined price, agreed before we begin. No open-ended retainers.
Production-first
We build for the conditions that matter: real users, real traffic, real consequences.
Marketing

Search, content, ads, and competitive intelligence.

Research. Build. Measure. Adjust.

SEO & Content Strategy

Keyword research, topic clustering, and content pipelines that build organic traffic systematically.

Google Ads & Paid Media

Campaign architecture, bid strategy, and AI-assisted copy that maximises return on ad spend.

Answer Engine Optimisation

Structured content and schema that positions your business in AI-generated answers — not just search results.

Competitor Intelligence

Automated monitoring of competitor positioning, content gaps, and keyword opportunities.

AI engineering

Most AI initiatives stall between prototype and production.

A prototype proves the idea under ideal conditions. Production introduces the variables it never accounted for: unpredictable inputs, concurrent users, cost ceilings, security requirements, and the question that determines trust — what happens when the model is wrong?

Hiring a full-time AI engineer to close that gap means $200k+ in salary and months of recruiting. We close it in weeks, with senior engineers who have done it before.

Prototype
Production
Ideal inputs
Unpredictable inputs
A single user
Concurrent load
Errors ignored
Errors caught and logged
Unmeasured cost
Cost under control
What we do

Four practice areas. One standard: production.

From marketing intelligence to AI systems — everything we ship is built to run under real conditions.

01

Marketing

SEO, keyword research, competitor analysis, content strategy, Google Ads, and AI-powered answer engine optimisation.

02

AI

RAG systems, agent development, LLM pipelines, voice agents, and data pipelines — from prototype to production.

03

Machine Learning

Embeddings, clustering, recommendation systems, and custom model development.

04

Software Development

Prototype-to-production, Claude Code development, Shopify headless, dashboards, and agent orchestration.

How we work

From brief to handover.

1

Scope

We define exactly what needs to be built, what success looks like, and what it costs — before any work begins.

2

Build

Senior engineers ship the system. Marketing pipelines, AI integrations, production deployments — whatever the engagement calls for.

3

Ship

We go live with full observability and a tested rollback strategy. No surprises.

4

Hand off

Complete documentation and knowledge transfer, so your team owns and operates the system.

The name

Pyrphoros — the bearer of fire.

The gods kept fire for themselves. Prometheus disagreed. They called him πυρφόρος — fire-bearer.

You know what you need built. Building it isn't your business — it's ours.

Insights

Perspectives on marketing and AI.

All articles →
Engineering · 6 min

Why most Claude prototypes never reach production

The demonstration succeeds, yet the system fails under real use. An examination of the gap most teams never scope for.

Practice · 5 min

Evaluations: the difference between a demonstration and a product

Without a way to measure whether your AI is improving or regressing, every release is a guess. How we establish evaluation suites.

Economics · 4 min

Fractional versus full-time: the real cost of an AI hire

A $200k salary, months of recruiting, and ramp time, weighed against senior engineering delivered in weeks.

Get started

Tell us what you need.

We take on a limited number of engagements at a time. Share a few details about what you're looking for and we'll respond within two business days.

  • A complimentary 30-minute fit assessment
  • A candid evaluation of what the engagement requires
  • A fixed-scope proposal, should we be the right fit