VC Partnership — Portfolio De-Risking Architecture
Engagement Phases
Screen
Technical due diligence on 2-3 pipeline deals. Feasibility, execution risk, MVP scope, path to production. Deliverable: deal matrix with structure recommendation.
Structure
Right-package selection per company: Pilot to validate, Validation for 1 portfolio company, Full Launch to ship AI-native, or Portfolio Partnership to annualize 3+. Terms, milestones, governance.
Build
Execution in 4-week sprints: Consulting (business-model validation), MVP (monetizable product), Agentic Org (AI C-suite and teams). Fixed price, fixed delivery, deployed to founder's cloud.
Scale
Optional maintenance sprints (4 weeks, 20% of original cost). Retraining, agent expansion, monitoring. Portfolio company operates alone or extends with us — no exit barriers.
Starting at $12K USD (Pilot · 30 days · 2-3 deals evaluated)
Description
Tech execution is what kills digital startups — not the idea, the build. Timelines that slip past the next milestone, budgets that burn runway before product-market fit, technical debt that caps scale the moment traction arrives, and "AI" that never ships as a working product. di-factory's VC Partnership architecture is the reference pattern we deploy to take that execution risk off the table: fixed scope, fixed price, built and shipped on a stack the company fully owns.
The model is opinionated by design. Four fixed engagement shapes — Pilot, Validation, Full Launch, Portfolio Partnership — replace the open-ended time-and-materials conversation with a delivery commitment. Each is quoted in dollars, delivered in 4–12 weeks, and deployed to the founder's own cloud, so the company keeps full control of its stack, its data, and its procurement relationship. No licenses, no lock-in, no hidden post-deployment fees — the same zero-markup, client-owns-the-infra commitment that runs through every di-factory architecture.
Read the page in three layers. At the top, the phase strip shows the Screen → Structure → Build → Scale flow that runs through every engagement regardless of size. In the middle, four package tabs lay out each engagement shape end to end — from Pilot ($12K, 30 days, two evaluations + one POC) to Portfolio Partnership (annual, ~$100K+, 3+ companies a year). Below, three cases show the right package in production shape: a seed fintech standing up KYC/onboarding, a Series A health platform built to NOM-024, and a growth-stage retailer cutting burn with an Agentic Org.
The seven dimensions compared across the tabs — Duration, Scope, Deliverables, Milestone governance, Companies covered, Price, Decision gate — are sized to answer the three questions a technical owner asks before committing to a build: what gets delivered, what it costs, and when we'll know it worked. Each tab reads standalone; cross-comparison is what you do by sliding between them. That's the edge — di-factory ships de-risked execution against a fixed gate, not a staffing hope.
Tech Stack
| Element | Pilot · $12K Options |
|---|---|
| Duration | 30 days |
| Scope | Technical DD on 2-3 deals + POC for 1 portfolio company |
| Deliverables | Deal matrix · working POC · feasibility report |
| Milestone Governance | Kickoff · weekly demo · POC gate on day 21 |
| Companies Covered | 1 portfolio company (POC) + evaluation of 2-3 deals |
| Price (USD) | $12,000 fixed · 50% upfront · 50% on delivery |
| Decision Gate | At day 30: escalate to Validation, close, or iterate POC |
| Element | Validation · $16K Options |
|---|---|
| Duration | 8 weeks (2× 4-week sprints) |
| Scope | Consulting (8-phase business validation) + MVP Development (4-week sprint) |
| Deliverables | Lean Canvas · TAM-SAM-SOM · MVP in production · Series A roadmap |
| Milestone Governance | Gates on day 14, 28, 42, 56 · biweekly GP demos |
| Companies Covered | 1 portfolio company end-to-end |
| Price (USD) | $16,000 fixed · 50% upfront · 50% on delivery |
| Decision Gate | MVP in production ready for Series A pitch |
| Element | Full Launch · $24K Options |
|---|---|
| Duration | 12 weeks (3× 4-week sprints) |
| Scope | Consulting + MVP + Agentic Organization (AI C-suite and teams) |
| Deliverables | Everything in Validation + AI-native org (CGO/COO/CTO agents + teams) + 24/7 ops |
| Milestone Governance | Gates every 2 weeks · monthly GP steering · formal operations handoff |
| Companies Covered | 1 portfolio company AI-native end-to-end |
| Price (USD) | $24,000 fixed · 50% upfront · 50% on delivery |
| Decision Gate | Company operates with AI-native burn before Series A/B |
| Element | Portfolio · ~$100K+/yr Options |
|---|---|
| Duration | 12 months renewable |
| Scope | 3+ portfolio companies per year · continuous deal pipeline · strategic retainer |
| Deliverables | Quarterly screening · prioritized builds · aggregate fund reporting · fractional portfolio CTO |
| Milestone Governance | QBR with partners · live portfolio dashboard · 4h response SLA |
| Companies Covered | 3+ portfolio companies (discounted per-company rate) |
| Price (USD) | Custom ~$100K+/yr · discussed in sales call |
| Decision Gate | Annual renewal based on companies graduated + portfolio traction |
Use Cases
Onboarding + KYC pre-Series A
Problem
Seed fintech needs to close Series A in 6 months; without a monetizable product with compliant KYC, there is no pitch. The founder asks for $200K over 6 months of dev — the fund has to decide whether to burn runway there or find another route.
Solution
Validation package ($16K, 8 weeks): Consulting validates model + unit economics · MVP delivers Django 5 product + integrated KYC (INE, biometric, AML lists) + operator dashboard · deployed to founder's cloud · ready for Series A pitch.
NOM-024 Patient Access Platform
Problem
Series A healthtech startup needs a full patient platform (scheduling, medical record, telemedicine) meeting NOM-024 before signing with its first institutional insurer. Internal team is 3 devs; the institutional timeline is 90 days.
Solution
Full Launch package ($24K, 12 weeks): Consulting aligns with insurer requirements · MVP with patient + medical-record modules meeting NOM-024 · Agentic Org deploys 24/7 support agents and clinical operations · company operates with AI-native burn before signing.
Burn Collapse via Agentic Org
Problem
Growth-stage retail with Series B raised · 45 employees · $380K monthly burn · 14-month projected runway. The GP needs to extend to 24 months without fresh capital; hiring 8 more people adds $60K/mo and does not solve the equation.
Solution
Portfolio Partnership package: sprint 1 deploys Agentic Org (CGO agent + AI marketing team, CTO agent + AI dev team, COO agent + AI ops) · sprints 2-3 migrate non-core functions to agents · sprint 4 measures new burn and renegotiates hiring plan · annual renewable.
Two-deal technical screen + POC
Problem
A fund has two insurtech deals in one cycle and can't tell which "AI-native claims" story is real. A technical partner per deal doesn't scale; a wrong call burns a check on a team that can't ship.
Solution
Pilot package ($12K, 30 days): technical DD on both teams — architecture, execution risk, data readiness, and path to production — plus one working POC of the higher-conviction claims flow, deployed to the startup's cloud. A scored deal matrix and build recommendation at close.
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