Strategic support for technical teams who want to raise money for their startup. We can help you design your pitch and get the best outcome for you and your team.
We help technical founders raise with conviction—translating the product, AI/infra, and roadmap into a crisp capital story investors can underwrite. You get a narrative that reflects reality, a data room that anticipates diligence, and coaching that makes every meeting count.
Why purposeful fundraising matters
- Capital is expensive; the right narrative and metrics can move valuation and dilution more than most feature launches.
- AI and infra-heavy businesses hide cost-to-serve inside “software” margins; investors will find it. Getting ahead of it keeps trust and terms in your favor.
- Most rounds hinge on a few proof points—data quality, defensibility, and team capability—that are hard to see from a deck alone. Bringing them forward early compresses timelines.
- In crowded markets, clarity on positioning and moat determines whether you get a fast “yes” or slow “maybe.” A practitioner-led story cuts through noise.
- Process discipline (materials, Q&A, readiness) preserves momentum; messy raises stretch for months and erode negotiating leverage.
How we add value
We bring investor-grade rigor and operator pragmatism. We shape the story, prep the numbers and the tech narrative, and make sure you and your team present as the obvious pick.
What we deliver
- Narrative and deck: A concise, defensible story with clear moat—data advantage, latency or workflow edge, integration depth, and roadmap credibility.
- Metrics spine: Cohort views, efficiency metrics, cost-to-serve, AI unit economics, and leading indicators investors actually benchmark.
- Technical appendix: Architecture and AI/ML highlights, reliability posture, security stance, and proof that the roadmap is achievable with current talent and spend.
- Data room plan: Organized materials and diligence pathways so investors can move fast without repeated requests.
- Meeting coaching and Q&A: Prep for tough questions on differentiation, pricing, infra costs, and competitive response.
How we run the process
1) Thesis and goals (Day 0–2)
Align on raise size, milestones funded, and the investor profile you want (stage, sector fit, value-add).
2) Story and moat (Day 2–7)
Craft positioning around the real advantage—data, latency, vertical depth, integrations, or AI capability—and pressure-test it.
3) Metrics and readiness (Day 5–10)
Build the metrics spine, surface cost-to-serve, and prepare evidence for defensibility and roadmap execution.
4) Materials (Day 7–12)
Produce deck, technical appendix, and data room outline tuned to your stage and investor targets.
5) Warm outreach and pacing (Day 10–30)
Sequence intros, calibrate with fast feedback, and adjust the story while keeping momentum and optionality.
6) Diligence and closing support
Guide technical/product diligence, maintain crisp Q&A, and support term discussions to protect economics and control.
Who this is for
- AI, data, or software founders preparing pre-seed through Series B raises who want a sharper narrative and smoother process.
- Technical teams with strong product and users who need to translate that into investor conviction.
- Founders who want practitioner support in the room for tough technical or infra cost questions.
Engagement models
- Raise readiness sprint (1–2 weeks): Story refinement, deck refresh, metrics spine, and data room plan.
- Full raise support (4–8+ weeks): Narrative, materials, coaching, investor sequencing, and diligence guidance through close.
- Partner in the room: We join key investor calls to handle technical, AI, or infrastructure cost questions live.
