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MTAI

engineeringmeetsbusiness.

your AI projects need AI-native executors.

Syncing Domain Knowledge
weplaceaiengineersintoyourops,creative,finance,andgtmteamsautomatingdragsoteamscanaccelerate.

our take

outcome driven

real results from real engagements.

automation

replaced legacy saas tooling with custom claude code instances, cut tool spend and accelerated execution across the stack

automation

automated go/no-go underwriting so analysts focused on high-potential deals

product

rolled out cursor across dev and design teams, compressing build cycles and shipping more product with the same headcount

content

built an ai video pipeline for a cpg brand and turned it into a repeatable content engine

analytics

built market intelligence reports for executives using ai simulations of buyer behavior to expose messaging gaps, sharpen positioning, and find where gtm was leaking

sales

advised and led the launch of an ai-powered video content agency

sales

deployed research agents to run outbound sourcing and sequence prioritization

content

transformed raw transcripts into publish-ready posts with brand-tone alignment

automation

automated bom processing with live inventory and cost visibility for ops

analytics

surfaced major inventory gaps and order-vs-usage discrepancies for finance to reconcile

product

shipped a real-time freight pricing gauge that flags at-risk lanes for quoting

product

built a content-transformation mvp and handed it off with clear runbooks

content

ran an aeo program: what-to-publish plan, citation/content gap map, and an ai assistant prompting next actions

content

enabled an agency with aeo playbooks, training, and a repeatable client offer

sales

organized outreach with ai-driven research to lift pipeline quality and meeting flow

automation

automated pricing/quoting checks so sales could issue confident same-day quotes

analytics

built decision dashboards that cut time-to-answer across ops and leadership

product

ingested knowledge bases (docs, faqs, reviews) to improve answer accuracy and coverage

sales

advised start-up on icp, positioning, and a tighter strategic sales motion

automation

implemented claude as a founder's working layer, offloading execution so leadership stayed focused on what actually moves the company

the trajectory

01capture
Knowledge transfer

knowledge transfer,person to machine

02download
Downloading domain knowledge

downloadingdomain knowledge

03store
Brain as archive

the brainas archive

04deploy
Expertise made executable

expertise madeexecutable

Research-Backed Estimates

what could AI recover for your team?

conservative estimates based on peer-reviewed studies from Stanford, MIT, Harvard, and BCG.

5h15h30h
15 people1,000
0
hours / week
0
hours / month
0
hours / year
0.4
FTE equivalent

At industry-average rates, that's approximately $0 in recovered capacity per year.

who we are

we operate as your 10x (maybe 100x) engineering team

ctos, founders, and senior engineers who combine strategic thinking with hands-on execution

ctos

Strategic technology leaders who've scaled companies from zero to millions

founders

Entrepreneurs who understand business complexity and operational excellence

senior engineers

Technical experts who've built and shipped production systems at scale

plug in your ai team