“We’re finding multi-agent reasoning unlocks things single-prompt setups can’t reach…”
Hi Sarah — your post on multi-agent reasoning hit exactly what we just shipped
AI-Native Software Development
From product development to engineering transformation.
HOW WE WORK
A senior founder works with you to map your AI project — architecture, build plan, evaluation strategy. Your team walks away ready to execute.
Two to four senior AI engineers embed with your team for months. We design and ship your AI features together. Your team owns the product when we leave.
A focused engagement to answer one question — a working prototype, a shipped integration, or a clear recommendation. Fixed price.
Proof
8
engineers
5
clients active
11
days avg delivery
97%
retention
Work
7 engagements. Each one had a quoted timeline that didn't survive contact with our team.
BWB Digital Assets · Embedded Team
Way2 · Advisory · Forward Deployed
Cambrian Network · Sprint
Learn to Fly · Embedded Team
Nine98 · Embedded Team
CriaAI · Sprint
Stattus4 · Embedded Team
Case Studies · 7 Shipped
Read the cases →Architecture decisions, timelines, and outcomes for each engagement — from quoted-vs-shipped contrasts to multi-agent AI rollouts.
PRODUCTS
We use them ourselves first. AI Outreach runs on Carlos's pipeline at 23% reply rate — outbound, audited end to end. Three more in line.