The AI Engineering Partner for mid market

Ship AI to production. With engineers who've talked about it done it before.

Distance is geography. Density is design. We embed senior engineers from LATAM into your team using The Density Method, the operating system behind a decade of partnerships

96%
Client retention
Industry avg around 75%
10+
Years partnered
90
Days to ship
our own AI product
7 to 10
Days to deliver
vetted candidates
Trusted by engineering teams at
Remine + more
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 team.

Most engineering teams have ideas. Most have budget. What they don't have are senior engineers who've actually shipped LLM applications, RAG systems, or AI agents into real production environments.

Hiring them in the US takes 6 months and costs $300K all in. Hiring them through generic staff augmentation gets you bodies, not builders. Most providers solve a capacity problem with people who've never been in the room when an AI project actually landed.

We do something different.

By the numbers

A decade of embedded delivery.

96%
Client retention
Verified by Clutch
2%
Acceptance rate
From applicant pool
7 to 10
Days to deliver
Kickoff to shortlist
90
Embed window
Days, structured by phase
120
Replacement window
Days, on us
10+
Years partnered
Ooma since 2016
12+
Active engagements
$50M to $500M ARR
0
Forced replacements
In 6 years
The Density Method

Four phases. Ninety days to production.

A structured engagement framework refined across 12+ active client relationships and a decade of embedded delivery.

1
Diagnose
Week 0 · 2 weeks

$2,500 fixed. We map your AI roadmap against your team's actual capability. You leave with a written diagnostic.

2
Match
7 to 10 days

We accept 2% of engineers who apply. From that pool we shortlist 2 to 3 per role, matched on context fit, not just skill. You decide.

3
Embed
90 days · structured

A structured 30/60/90 framework refined over 4 years. 100% success rate over the last 6 years. See the framework.

4
Retain
Years, not months

Some have been on the same team for over a decade. A 4 year engineer is not 4x more productive than a 1 year engineer. They are 10x or 50x. Density compounds.

Phase 03 · Deep dive

The 30/60/90 framework.

Every engineer we place follows the same structured embed across the first 90 days. It took us 4 years to perfect this process.

100%
success rate over the last 6 years. Zero forced replacements.
Days 0 to 30
Orientation + context.

Codebase walkthrough. Team introductions. Expectations doc signed by both sides. Access to our internal AI playbook from day one.

Days 30 to 60
Contribution + feedback.

First production commits. Weekly 1:1 with a Density tech lead, separate from the client's standups. Written check ins to surface friction early.

Days 60 to 90
Integration + ownership.

Engineer takes ownership of a feature or surface. Becomes a peer in design discussions. The shape of the engagement past day 90.

The AI playbook

Every engineer we place gets access to our internal playbook covering RAG architectures, agent patterns, MLOps best practices, evals, and the production patterns we've seen work and fail across 12+ engagements. Institutional knowledge that compounds.

The weekly check in

Once a week during the first 90 days, a Density tech lead has a 30 minute private conversation with the engineer. Separate from your team. The goal is to surface friction your team doesn't see and resolve it before it becomes attrition.

Why we don't disappear after placement

Most providers treat placement as the deal closing. We treat it as the deal starting. The first 90 days are when bad placements show up, and most providers are not paying attention. We are. It is how we maintain our 100% success rate.

Our thesis

Distance is geography. Density is design.

The condition
Distance

Geography, time zones, language, culture, legal jurisdiction. The condition cannot be eliminated. Most providers treat it as the problem.

vs
The output
Density

Shared context, accumulated trust, implicit communication, integrated judgment. Density is what you build to make distance irrelevant.

Most providers manage distance. We design for density. That is the entire difference.

We coined a term for what compounds when an engineer stays: operational density. Four dimensions that accumulate over years, and can't be shortcut.

01 · Context density

How much of your domain, codebase, and culture lives inside the engineer's working knowledge.

02 · Trust density

How many small bets you and the engineer have run together that paid off.

03 · Cadence density

How tight the feedback loops between async collaborating teams have become.

04 · Stake density

How much each side has invested in the relationship beyond the contract.

Proof, not promises

We built our own AI product. In 90 days.

Prevetted.ai is our own production AI product, built by Density engineers in 90 days. RAG architecture, autonomous research agent, recommendation engine, the same kind of system we build for clients, running on our own infrastructure.

  • Live, in production, with real users matching with engineers
  • RAG over 100+ podcast episodes for context aware matching
  • Built to handle the agentic workflows we ship for clients
  • Open architecture, we'll walk you through it on a call
Try Prevetted.ai →
prevetted.ai/match
$ find_match: "RAG engineer · Spanish speaking · vector DBs · 4yr+"
Match: Sebastián M., 97% fit
5y at Density · pgvector + LangChain · shipped 3 production RAG systems · São Paulo (UTC-3)
Match: Carolina A., 91% fit
3y at Density · Pinecone + custom evals · Guadalajara (UTC-6)
Match: Diego R., 84% fit
2y at Density · ML Ops · Buenos Aires (UTC-3)
Verified by Clutch

A decade of shipping with mid market teams.

Three real engagements. Independently verified. The work is the proof.

How we're different

Three options. One that fits.

 
Big consultancies
Generic staff aug
Density Labs
Time to ship
9 to 18 months
Often unscoped
90 days to production
Engineer tenure
Rotation common
9 month average
Years (10+ at Ooma)
Embed framework
Generic onboarding
None
Structured 30/60/90
Replacement guarantee
Per contract
30 to 60 days typical
120 days
Internal AI playbook
Proprietary, kept internal
Engineers self teach
Shared with placed engineers
Skin in the game
No skin in the game
Process over outcomes
We built our own AI product. We know.
Pricing

Three ways to work with us.

From a low commitment Roadmap to a full embedded squad. All include the 90 day framework and 120 day replacement guarantee.

Standard Embed
AI Engineer
One embedded senior, ready to ship.
$9,500/mo
Monthly · 90 day minimum
  • One senior engineer, embedded
  • Full 30/60/90 framework
  • Internal AI playbook access
  • Weekly check in with a Density tech lead
  • 120 day replacement guarantee
Book a call →
AI Squad
Tech lead plus 2 to 3 engineers.
$32K/mo
Monthly · 90 day minimum
  • Tech lead plus 2 to 3 engineers
  • Full ownership of AI initiative
  • Architecture, build, ship, iterate
  • Quarterly business reviews
  • 120 day replacement guarantee
Talk about a Squad →

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

Start with the AI Roadmap.

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

Start the Roadmap