Same answers we give on the call, written down so you can read them first.
Published, fixed, no procurement dance.
The AI Readiness Assessment is a $7,500 fixed two week engagement, offered at $2,500 to the founding cohort: workflows ranked by ROI, a 90 day plan, and an honest go or no-go. A Forward Deployed AI Engineer is $9,500 per month, 90 day minimum. The assessment fee is credited toward a build within 60 days. Start with the assessment.
If a placed engineer is not the right fit within 120 days, we replace at no charge. We can offer it because our engagements last: 96% client retention, Clutch verified.
The shape of the buyer matters more than the shape of the project.
US based mid market companies with $50M to $500M in annual revenue, a product engineering team already in place, and stated AI ambitions but limited internal AI expertise. The buyer is typically a VP Engineering, CTO, or Chief Digital Officer. If that is you, the AI Readiness Assessment is the entry point. Running a smaller company? See the $1,250 small business version.
Yes. It has been our core practice for ten years and it is not going anywhere: senior LATAM engineers embedded through The Density Embedded Method until they are indistinguishable from your full time team. Remine has run on it for six years, and their engineering director will tell you our engineers have become tech leads of their teams. Read the practice.
Typical staff aug sells you a resume. Our embedded practice has spent ten years making engineers indistinguishable from full time employees: same standup, same code review, same accountability. It is about trust, and it is why clients keep engineers for five or six years. The AI practice builds on it with Map, Prove, Deploy: accountability for a system reaching production. See how it works.
Timezones, capabilities, kickoff speed.
Our engineers and designers are based across Mexico, Colombia, Argentina, and Brazil, every one in a US compatible timezone. Same standups, same hours, no async hand offs. You get senior AI engineers at roughly a third of a $300K US hire.
RAG implementations, agent architectures, eval infrastructure, MLOps, LLM feature integration, and the production code that wires it all into a real codebase. Our engineers have shipped these systems in healthcare, fintech, real estate, and customer support. We also built our own AI product, Prevetted.ai.
Your engineer is deployed inside your team in 7 to 10 days. Working system in a sandbox by day 60, production by day 90.
Start with the assessment, or ask it on a call. Straight answers either way.
Start with the AI Readiness Assessment →