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.
0%
False positives
Auto
Self-healing
All
Platforms
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
11.3% CAGR
2025 → 2032
Test Automation
$35B→$77B
16.8% CAGR
2025 → 2030
$15B
Enterprise QA Tools
Primary Target
$5B
AI DevTools
Emerging
$20B
QA Services
Replacement
Traction
Enterprise-validated. Ready to scale.
$200K
ARR
$90K
Anchor ACV
2
FTEs replaced/customer
0%
False positive rate
"We evaluated 5 testing platforms. Pie was the only one that survived our AI-driven development cycle. Every other tool broke within a week of our Cursor adoption. Pie just kept working."
— VP of Engineering, Enterprise Customer
What $90K means
Critical infrastructure. Not an experiment.
Customer ROI
3-5x (2 FTEs saved)
NRR trajectory
>120%
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.
Dhaval Shreyas
CEO
Jinoo Jain
CPO
Adithya Aggarwal
CTO
~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
Use of Funds
Sales & Marketing50%
R&D35%
G&A15%
18-month milestones → Series A ready
$200K →
$1.5-2M
ARR
5 →
15-20
Customers
45% →
<20%
Concentration
18 →
30-35
Team
18 months runway · Seeking lead with Agentic AI / DevTools thesis