The Ask
$10M Seed Round
18-24 months of runway to go from early access to $10M ARR and Series A.
Use of Funds
| Category |
% |
Amount |
What It Funds |
| Engineering |
30% |
$3M |
3-4 senior engineers (architecture, AI/ML, infrastructure), compute |
| Go-to-Market |
35% |
$3.5M |
Head of Growth, dev advocate, content, community, partnerships |
| Infrastructure |
25% |
$2.5M |
AI compute, multi-region deployment, sandbox fleet, databases |
| Operations |
10% |
$1M |
Legal, finance, strategic reserve |
Engineering is 30%, not 50%. We use Vitto to build GoGrab Space — that's both our strongest proof of product and our capital efficiency advantage. The savings go to GTM and infrastructure, where human judgment and real spend matter most.
Milestone-Tied Deployment
| Months |
Spend |
Milestone |
| 1-6 |
$3M |
Public launch, 1,000 customers, $1M ARR |
| 7-12 |
$3.5M |
Marketplace, white-label, enterprise pilots, $5M ARR |
| 13-18 |
$3.5M |
Scale to $10M ARR, Series A |
Valuation Context
The AI Seed Market in 2024-2025
- Median AI seed pre-money valuation: $17.9M (42% higher than non-AI)
- AI seed rounds average 1.6x higher valuations and 1.4x larger than non-AI
- 42% of all global seed funding now goes to AI companies
- $15 billion went to AI seed rounds in 2025 alone
A $10M raise for an AI company at the intersection of agents and platform building is below the median.
Comparable Trajectories
| Company |
Seed |
Latest Valuation |
Timeline |
| Lovable |
$15M |
$6.6B |
10 months |
| Bolt.new |
$7.9M |
$700M |
2.5 years |
| Cursor |
Early stage |
$29.3B |
3 years |
| Cognition |
$21M |
$10.2B |
18 months |
| Sierra AI |
$110M |
$10B |
2 years |
| Harvey AI |
$5M |
$11B |
3 years |
Lovable — our closest comp — went 440x from seed to Series B in under 12 months, generating disposable prototypes. We generate persistent, production-grade platforms with a deeper technical moat.
What GoGrab Has at Seed vs. Typical
| GoGrab Space |
Typical AI Seed |
| 500,000+ lines production code |
10,000-50,000 lines |
| 238+ NX libraries |
5-20 libraries |
| 12 deployed applications |
1-2 applications |
| 105 validated AI outcomes (live system) |
No data moat |
| Patent-pending architecture |
No IP |
| 7-channel omnichannel |
Web only |
| Bare metal infrastructure |
Cloud only |
| 80+ MCP tools |
Basic API |
Series A Targets (18 months)
| Metric |
Target |
| ARR |
$10M |
| Paying customers |
10,000+ |
| MoM growth |
15%+ |
| NRR |
120%+ |
| Gross margin |
85%+ |
| Churn |
< 3% annual |
| Team |
8-10 |
Expected Series A Range
| Scenario |
ARR |
Multiple |
Valuation |
| Conservative |
$10M |
30x |
$300M |
| Base case |
$15M |
35x |
$525M |
| Upside |
$25M+ |
40x |
$1B+ |
Return Potential
| Scenario |
Valuation |
Return |
| Series A at $300-500M |
Conservative |
30-50x |
| Lovable trajectory |
$6.6B in 12-18 months |
660x |
| Cursor trajectory |
$29.3B in 3 years |
2,930x |
| Moderate success |
$1B at Series B (Year 3) |
100x |
Summary
|
|
| Round |
Seed |
| Raise |
$10M |
| Runway |
18-24 months |
| Milestone |
$10M ARR, Series A ready |
| Team at 18 months |
8-10 (not 50 — we use Vitto) |
| What's built |
500K+ lines, 238 libs, 12 apps, 105 validated AI outcomes |