The AI Engineering Partner for mid market

Ship AI to production. Ten years of shipping software.

Using Our Method, the operating system behind a decade of product development.

Book a 30 min call
96%
Client retention
Industry avg around 75%
10+
Years partnered
Mid market US companies
30+
Senior engineers
shipping in production
12+
Active engagements
$50M to $500M ARR
Ooma · 10 years · Remine · 5 years
Federico Ramallo, founder of Density Labs
Buenos Aires · Guadalajara · The Americas
From the founder

Federico Ramallo. Two decades shipping production software.

Founder of Density Labs since 2016. Author of The Invisible Distance, the operating system for engineering leaders running distributed teams. Host of The PreVetted Podcast, 150 plus conversations with VPs of Engineering, CTOs, and operators on what actually works.

Density is the working practice behind a decade of partnerships. The method ports to AI. We are applying it now to the next chapter. The book and the podcast are the long form. The firm is the proof.

The reality

95% of AI pilots in mid market companies never make it to production.

$300K

All in cost of a senior US AI engineer hire. Six months to fill the role. Most mid market teams can't absorb this.

MIT NANDA, 2025. Vendor led projects ship at 2x the rate of internal led.

The reason isn't the technology. It's the plan.

Most engineering teams have ideas. Most have budget. What they don't have is a written, prioritized plan that survives contact with their actual codebase, data, and team.

Most providers walk in with a slide deck and a sales motion. We walk in with a fixed scope diagnostic, an honest read on whether AI is the right next move, and a plan you keep regardless of what comes next.

That's where we start.

Inside AI Implementation · the build path

The Density Build Method.

One path under AI Implementation: building net-new AI products, adapted to mid-market timelines. Twelve phases across Plan, Build, Ship. Roughly twenty eight days of focused work for an experienced team. When the engagement is integrating AI into an existing system instead of building a new one, we scope a different shape and tell you so on the first call.

Plan · phases 1 to 3
Spec the product, build the toolkit.
01 Ideation & validation 1 to 2 days
02 Planning & PRDs 4 to 5 days
03 Design system ~half day
Build · phases 4 to 8
Make the engine, connect it, polish it.
04 Frontend build 6 to 8 days
05 Backend 1 to 2 days
06 Wireup ~1 day
07 Debugging 2 to 4 days
08 Polishing 1 to 3 days
Ship · phases 9 to 12
Harden it, get it live, keep it alive.
09 Hardening ~1 day
10 Refactor + final debug 1 to 3 days
11 Deployment 3 to 4 days
12 Maintenance forever
Total focused work · ~28 days Calendar time · plan the days, not the hours
Ways to engage

Two ways in. One that fits.

Start with the Diagnostic for a written plan, or scope a full Implementation.

Start here · founding cohort
AI Diagnostic
For teams figuring out their AI plan.
$2,500
Fixed · 2 weeks · founding-cohort price
  • Written AI diagnostic and roadmap
  • Capability and architecture gap analysis
  • Implementation plan, prioritized
  • Honest read on whether AI is the right next move
  • Founder-led for the first cohort. Yours to keep, no obligation.

Founding-cohort pricing for the first five Implementation clients. Standard pricing applies once the case-study library is built.

Start the Diagnostic →
AI Implementation
Take a plan to production.
As a single AI Engineer or an AI Squad.
Scoped to your roadmap
Built around the plan
  • Architecture, build, evals, ship
  • RAG, agents, MLOps patterns we have run in production
  • Weekly working sessions with your team
  • Measurable exit criteria each phase
  • Outcome focused, not hour focused
Book a 30 min call →

Each starts with a quick fit check. We confirm we can help before you pay anything.

Start with the AI Diagnostic.

$2,500. Two weeks. A written plan you can act on. Yours to keep. No obligation to continue.

Start the Diagnostic