Part of the DEPLOY Method — Engineer phase
An AI-augmented product squad that runs on the LaunchpadOS framework — 320+ PM skills, the Berkeley Innovation Pipeline, and 10 virtual AI roles wired into your git and issue tracker. One founder ships like a ten-person team; a ten-person team ships like a hundred. We ship SaaS and Physical AI products end-to-end, leave the platform installed with you, and hand over a runbook your team owns on day one.
Product-management bandwidth is the bottleneck — PRDs, roadmaps, and reviews don't keep up with engineering velocity.
Output quality swings with whoever is available that sprint; nothing is reusable between squads.
Tooling is fragmented across planning, design, and chat — context is lost at every handover.
Scaling output requires hiring that founders and SMEs can't absorb fast enough.
Every engagement runs on LaunchpadOS — the 320+ PM skills, Berkeley Innovation Pipeline, and 10 virtual AI roles we use internally. A human Squad Lead orchestrates the roles, writes every PRD and architecture decision into your git repo, and runs the pipeline end-to-end from discovery to production.
Discovery, opportunity sizing, PRD drafting, roadmap negotiation, launch checklists — each skill runs as a documented, improvable playbook.
A staged discovery-to-launch pipeline adapted from the Berkeley SkyDeck playbook — feasibility, desirability, and viability gates between every stage.
PM, product designer, backend engineer, SRE, QA — plus five specialist roles spanning data, security, firmware, and analysis. Every role orchestrated by a human Squad Lead.
PRDs, architecture notes, tests, and runbooks live in your repository. Every decision is reviewable, reversible, and improvable.
Built for founders and execs who need the output of a ten-person team and can't hire that fast, for 10–50 person teams that need 100-person throughput on a named initiative, for public-sector teams that need sovereign, auditable delivery without a 50-person SI, and for Physical AI shops — embedded, robotics, industrial — that need a squad speaking firmware, not just SaaS. It is not for staff-augmentation body-shops, for teams that refuse AI-assisted delivery, for organizations that won't install LaunchpadOS in their environment, or for budgets below €40k for a full V1 build — consider the AI Strategy Sprint instead.
Sprint is a fixed fee — €40–120k depending on scope — for a scoped V1 shipped in 8–12 weeks. Retainer is €15–50k per month for a named capacity (Squad Lead + active AI roles), monthly rolling with 30-day notice. We quote the exact number during a Discovery call once we understand the scope.
No. The squad augments your team — we bring the platform, playbooks, and AI roles; your team retains ownership and decision rights. At handover the platform stays with you, so the augmentation is permanent even if we aren't.
You do — all deliverables, including LaunchpadOS customizations, are assigned to you at handover. The underlying LaunchpadOS framework is licensed for your continued use.
Yes, and it's the common path. The Sprint ships V1 and installs LaunchpadOS; the Retainer extends the squad into post-launch iteration. We discount the first Retainer month when it follows a Sprint.
You keep running it. The platform is installed in your environment, the runbook explains how to re-invoke each role, and your team has the git history. We offer an optional support subscription, but it isn't required.
Yes. The squad is built to cover industrial, automotive, and energy settings — edge inference, firmware, safety-case documentation — with dedicated firmware and robotics roles alongside the SaaS stack. Physical AI engagements typically sit in the upper half of the Sprint range.
Let's discuss how this service can address your specific challenges and drive real results.