# Density Labs

> Density Labs is an AI engineering firm that forward deploys senior engineers inside mid-market companies ($50M to $500M ARR) to ship AI to production. The core belief: 80 to 95 percent of AI pilots never reach production, and almost always the failure is organizational, not technical. Density fixes that with a two-week AI Readiness Assessment ($2,500, credited toward the build) and a forward deployed engineer who owns the outcome. Founded by Federico Ramallo. Rated 4.7 on Clutch.

## Services

- [AI Readiness Assessment](https://densitylabs.io/ai-readiness-assessment/): Two-week diagnostic, $2,500, that ranks candidate AI workflows by return net of running cost, checks data readiness, and gives an honest go/no-go with a build path. Credited in full toward the build.
- [Forward Deployed AI Engineer](https://densitylabs.io/get-started/ai-engineer/): A senior engineer embedded in your codebase and team who owns shipping one AI workflow to production, not a proof of concept bolted on the side.
- [Enterprise AI Strategy for the Mid-Market](https://densitylabs.io/enterprise-ai-strategy/): Closing the readiness gap without a transformation office.
- [Our Method: Map, Prove, Deploy](https://densitylabs.io/method/): How Density takes an AI idea from candidate workflow to shipped, owned production system.

## Definitional guides (AI, explained from production reality)

- [Agentic AI: when to build an AI agent (and when a workflow suffices)](https://densitylabs.io/agentic-ai/): The ladder from prompt to chain to workflow to agent, and the four-question test for whether a task actually needs an autonomous loop.
- [Why 95% of AI pilots fail (and what the 5% do differently)](https://densitylabs.io/why-ai-pilots-fail/): The failure is organizational, not technical: no owner, demo-only data, output nobody uses.
- [AI for Business: what mid-market companies should actually do with AI](https://densitylabs.io/ai-for-business/): Where AI actually pays off, total cost of ownership beyond the license, and how to ship one workflow that returns this year.
- [AI for Everyone: how to use AI well at work](https://densitylabs.io/ai-for-everyone/): A calm, practical guide for non-technical people: what AI is good and bad at, and three habits for useful output.
- [The Jobs AI Can't Replace](https://densitylabs.io/jobs-ai-cant-replace/): AI takes tasks, not whole jobs. Which work is durable, and what to learn to stay employable.
- [Building AI Agents with Rails](https://densitylabs.io/ai-agents-with-rails/): Why Ruby on Rails is a strong fit for production AI agents, and the patterns that keep agents reliable.
- [How to Ship AI to Production: a CTO's guide](https://densitylabs.io/ship-ai-to-production/): What it actually takes to get an AI system past the demo.
- [What an AI Diagnostic Actually Includes](https://densitylabs.io/what-an-ai-diagnostic-includes/): Inside the two-week assessment.
- [AI Pilot: in house vs bringing in a team](https://densitylabs.io/ai-pilot-vs-in-house-team/): How to decide who builds the first workflow.

## AI implementation challenges (problem-first pages)

- [AI implementation challenges engineering leaders face](https://densitylabs.io/ai-implementation-challenges/): Twenty recurring AI and engineering challenges for mid-market leaders, from stalled AI pilots to code quality, tech debt, and senior hiring risk, each with what it costs and how to get one to production.

## Staff augmentation

- [Beyond Staff Augmentation](https://densitylabs.io/staff-augmentation/): Why bodies-on-seats fails and what embedded engineering does instead.
- [The Density Embedded Method](https://densitylabs.io/staff-augmentation/embedded-method/)
- [PreVetted: nearshore staff augmentation](https://prevetted.ai): Hire pre-vetted LATAM engineers, Density's talent placement arm.

## About

- [About Density Labs](https://densitylabs.io/about-us/)
- [FAQ: pricing, fit, and how we work](https://densitylabs.io/faq/)
- [Contact](https://densitylabs.io/contact/)

## The Density Labs AI Series (books by Federico Ramallo)

A set of practitioner books behind the guides above: agentic AI, shipping AI to production, why pilots fail, AI for business, AI for everyone, the jobs AI can't replace, and building AI agents with Rails. Written from watching AI enter real companies from the inside.