Pyrphoros Group

Applied AI, engineered for production.

A specialist consultancy for businesses that have proven an AI concept and need it built properly — secure, reliable, and ready to operate at scale.

Senior only
You work directly with the engineers 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 engineer for the conditions that break prototypes: real users, real load, real consequences.
The gap

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

Capabilities that take AI from prototype to production.

From initial strategy through to a system your team can operate independently.

01

AI Strategy

Identify where AI delivers measurable value, and a prioritized roadmap to capture it.

02

POC to Production

We take a working prototype and engineer it into a reliable, observable, secure system. This is our core practice.

03

LLM Implementation

Prompt architecture, evaluation suites, retrieval, tool use, and guardrails engineered to perform under real-world conditions.

04

Data Infrastructure

The pipelines, storage, and retrieval layer your AI capabilities depend on, built to scale.

05

Digital Transformation

Modernize the workflows and systems surrounding your AI capabilities so the investment compounds.

06

Fractional AI Engineering

Senior AI engineering on a monthly basis — the expertise of a full-time hire at a fraction of the cost.

How we work

From spark to system.

1

Audit

We assess your prototype and define precisely what stands between it and production.

2

Harden

Evaluations, error handling, security, cost controls, and monitoring — the engineering that determines reliability.

3

Deploy

We move to production with full observability and a tested rollback strategy.

4

Hand off

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

The name

Pyrphoros — the bearer of fire.

In the myth, Prometheus carries fire from the gods to humankind, turning a power reserved for a few into something anyone can build with. That principle defines our work.

AI is the fire. Our role is to place it in your hands safely — not as a black box you depend on us to maintain, but as a production system your team understands, owns, and operates.

Insights

Perspectives on AI in production.

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. The economics for SMBs.

Apply

Tell us about your prototype.

We accept a limited number of engagements at a time and screen for fit first. Share a few details and we'll respond within two business days.

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