The only GTM operating system purpose-built for technical founders with hardware, deep-tech, and physical-world products — and sales cycles that run 12 to 36 months.
The 5-Phase Commercial Evolution
Where are you on the path from first sale to $50M+?
You built something technically extraordinary. Patents, performance data, early validation. The world has changed: your seed investors want commercial traction in 6 months — and your Series A won't write the check until you can prove you're starting to scale.
Your first enterprise deal has been stalled for nine months. You hired a VP Sales from SaaS — and it made things worse. Every framework you've tried was built for a subscription product with a 30-day close.
This is not a sales execution problem. It is a commercialization architecture problem. It requires a framework built from scratch for your reality — not adapted from a SaaS playbook.
SaaS frameworks assume 30-day closes. Deep-tech requires milestone-aligned pipeline management over multi-year timelines.
Your buyer validates in a lab. Standard qualification scripts fail in this environment.
Revenue comes at design wins and volume ramps — not at contract signature. The pipeline model must match this reality.
You cannot simply hand off to a VP Sales. A structured four-phase transition is required or the pipeline collapses.
From ecosystem mapping through sprint execution through team-building. STEM is the operating system covering the full lifecycle for hardware-native companies — a category no competing methodology addresses.
Know which phase you're in? Let's build your sprint plan from there.
Tell me your phase →Six modules, each with specific AI tools, workflows, and prompt architectures designed for the deep-tech context. Structurally integrated into the 8-Week Sprint — not layered on top.
The result: a Phase 1 founder using Module 01 surfaces 20 qualified target accounts in hours, not weeks. Module 02 generates a Technical Hammer UVP draft from product specs. Every module has a defined input, a defined output, and a defined AI workflow.
No other commercialization methodology for deep-tech has this built in. That is the 2026 differentiator.
Book One · 10X Deep-Tech Library
The personal operating playbook for the technical CEO. 13 chapters, 55,000 words. Built from eight years of live deep-tech engagements. Translates engineering discipline into commercial execution.
Join the Pre-Order ListBook Two · 10X Deep-Tech Library
The team execution manual. 16 chapters covering the full STEM framework — the book founders hand to every commercial hire. From first BD hire through $50M+ vertical teams.
Notify Me at LaunchA private intensive that operationalizes the full STEM Framework for your specific technology, market, and stage. Four deliverables you deploy the week after.
20 target companies and 20 people, scored and ranked by technical fit, budget authority, and strategic value.
Technical capabilities mapped to buyer language by role and buying stage — Feature to Economic Impact.
Week-by-week execution with meeting targets, outreach templates, and AI module assignments for your team.
Commercial milestones sequenced to your investor requirements and financing timeline.
Workshop Investment
Private full-day engagement · Inquiry-based pricing
Intervals OS is the open-source software companion to STEM Selling. Every module in the software maps directly to a chapter in the book — so the methodology you learn, you run daily.
Local-first. No cloud. No SaaS subscription. Your pipeline data, your IP, your machine. Built for deep-tech founders who can't afford to share deal intelligence with a vendor's servers.
Runs locally on your machine. No account required. Data never leaves your device — critical for deep-tech IP.
Your 5/50/500 target map. Prioritized by strategic fit and buying committee access — not generic CRM fields.
5/50/500 MapMessaging framework builder. Converts technical specs into buyer-language value propositions for every level of the org.
Technical Hammer UVPThree-dimension scoring with velocity tracking. Measures access, credibility, and urgency — shows where deals are actually stalling.
3D Trust ScoreYour weekly operating cadence. The dashboard you open every Monday to know exactly which accounts need attention and what move to make.
Weekly Cadence DriverExecution planning and retrospective. Structures zero-pipeline-to-active-engagement cycles with built-in retrospective scoring.
Sprint Planner50-conversation tracker with pattern analysis. Surfaces repeating objections, qualification signals, and market shape from raw discovery data.
50-Convo TrackerAll engagements are application-based. Stuart works with a small number of companies at any given time.
Monthly retainer · Ongoing
Best for founders at Phase 1–2 needing a strategic sounding board.
Apply6–12 month engagement
Best for Series A companies needing a proven operator, not a coach.
ApplyEquity + cash · Selective
Selective. Stuart currently holds board roles at Myrias Optics and Ada IQ.
ApplyUse this form for book pre-orders, workshop inquiries, and advisory applications. Every submission is read by Stuart directly. No intake team, no sales process — just a direct conversation about whether we're a fit.
What Intervals.ai needs is a commercial partner who understands that building physical-world technology is the hard part — and that the commercial architecture should be worthy of the work.