Seed Round | Q1 2026
Pie
The World's Fastest QA Platform
The Problem
AI writes code 100x faster.
QA is still stuck in 2015.
Code Production (AI) — 100x
⚡
The bottleneck moved. QA didn't.
Legacy is Dead
Selenium is dead.
It just doesn't know it yet.
This breaks every time AI touches the UI
driver.findElement(By.id("add-to-cart-btn")).click();
driver.findElement(By.xpath("//div[@class='checkout']")).click();
Same button. Same functionality. Test = FAILED.
The result: Flaky Test Hell
- 60% of failures aren't bugs. Broken selectors.
- 2-4 weeks to build a suite that breaks next sprint
- 40% of QA time debugging scripts, not finding bugs
- Tests break faster than you fix them
You can't test AI-speed code with human-speed tools.
Our Solution
We test like humans.
Selenium tests like a robot.
Pie deploys AI agents with Computer Vision that see your app exactly like users do.
Selenium
- Reads HTML code
- Targets DOM selectors
- Breaks when code changes
❌ "Click #btn-42"
Pie
- Sees the screen
- Targets visual elements
- Works if UI looks the same
✅ "Click the blue Add to Cart button"
Product
80% coverage in 30 minutes. Every time.
Step 1
2 min
Connect
Point Pie at your app. No SDK. No code changes. No excuses.
Step 2
10 min
Discover
AI agents explore and map every flow. You watch.
Step 3
15 min
Generate
Plain English test suites. Created automatically.
Step 4
∞
Self-Heal
UI changes? Pie adapts. You ship.
Timing
Three forces. One moment.
1. AI coding hit the enterprise
- 1.8M+ Copilot subscribers
- Cursor: Fastest-growing IDE ever
- 40%+ of code now AI-generated
They all hit the same wall: verification.
2. Legacy QA is broken
| 2000-2020 | Selenium | Worked |
| 2020-2024 | Low-code | Struggling |
| 2025+ | ??? | Broken |
3. Agentic AI is the thesis
VCs stopped chasing foundation models. They're betting on:
- Application layer
- Vertical infrastructure
- High-value workflows
Pie is the agentic solution for the most broken workflow in software.
Market
The verification layer for $100B+ in software.
Software Testing & QA
$51B
→
$107B
2025 → 2032
Test Automation
$35B
→
$77B
2025 → 2030
$15B
Enterprise QA Tools
Primary Target
$20B
QA Services
Replacement
Traction
Two enterprise wins. Two verticals.
Tilt (Fintech) — $90K
- Before: 4-6 hrs manual regression per release
- After: Zero manual intervention to App Store
- Expanding: 1 app → 4 apps (Tilt, Kashalo, Neera, Mexico)
- Won: Beat competitor at $60-70K on technology
Fi (Consumer HW) — $36K
- Before: 2-3 days QA, 12+ engineers involved
- After: Hours, not days. 3 people, not 12.
- Expanding: Mobile apps → e-commerce web testing
- CEO approved: Case study signed off by founder
Two logos
Repeatable sales
Both expanding
Product-market fit
Different verticals
Horizontal platform
Business Model
Usage-based. Indexed to AI velocity.
Starter
$500
/month
Up to 1,000 test runs
Growth
$2,000
/month
Up to 10,000 test runs
Enterprise
Custom
Avg $60-100K ACV
Unlimited + SLA + Support
The Flywheel
Customer adopts AI coding →
Ships more features →
Runs more tests →
Pie revenue grows
We're the tax on AI development velocity
Competition
The only CV-based agentic testing platform.
| Capability |
Pie |
BrowserStack |
Mabl |
Rainforest |
| Computer Vision |
✓ |
✗ |
✗ |
✗ |
| Zero code |
✓ |
✗ |
Partial |
✓ |
| Self-healing |
✓ |
✗ |
✓ |
✓ |
| Cross-platform |
✓ |
Infra only |
Web |
Limited |
| AI refactor resilient |
✓ |
N/A |
✗ |
Partial |
| Setup time |
5 min |
Instant |
Weeks |
Days |
Our CV engine is 2+ years of production-hardened R&D.
By the time they rebuild, we'll have the enterprise relationships they can't match.
Team
Built by engineers who lived this problem.
~18 people. Heavy R&D investment = building the moat.
Engineering (14)
Product (2)
GTM (2)
🔧
Proprietary CV engine. Not a wrapper.
🎯
We lived the QA pain. We fixed it.
⚡
Cross-platform in 18 months.
🏢
We know how to sell $90K contracts.
The Ask
$3.5M to scale the engine.
Round Details
| Raising | $3.5M - $4M |
| Valuation | $18-22M Pre |
| Instrument | Priced / SAFE |
| Timeline | Q1 2026 |
18-month milestones → Series A ready
18 months runway · Seeking lead with Agentic AI / DevTools thesis
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