The Problem
AI systems ship fast. Safety audits don't.
Manual reviews — take weeks & miss LLM-specific risks like prompt injection or hallucination vectors
Generic SAST tools — weren't built for AI apps — they can't reason about LLM behavior or agentic workflows
Post-breach fixes — cost 10-100x more than catching issues pre-deployment — but pre-deployment tooling doesn't exist
The Market
700k+
LLM-powered apps on GitHub - 2025
$93B
AI cybersecurity market by 2030
78%
AI teams lack structured safety reviews
0
Unified audit platform
Our Solution
SafetyGuard: Point it at any AI app's GitHub repo. Get a scored safety report in minutes.
Connect
Link your GitHub repository or upload your project code.
Analyze
Our 10 specialised AI agents audit your codebase for critical risks.
Fix
Review your prioritised, scored report to remediate vulnerabilities instantly.

Manual reviews take weeks. SafetyGuard runs in minutes, covering 10 safety dimensions simultaneously with LLM reasoning.
Business Model
Built for teams that ship AI. Priced for how they work.
Starter
$8
/month
Team
$60
/month
Enterprise
$199+
/month
~$20
Cost to serve
per month
~65%
Gross margin
<$100
Target CAC
9x+
LTV/CAC
Why Us · Why Now
First 10 customers. Then the rest.
HOW WE GET FIRST 10
01
Cold DM 100 YC W25 founders
Direct outreach offering free full audits for feedback.
02
Post teardowns on Twitter/X
Share actionable security findings to build authority.
03
HuggingFace & LangChain communities
Engage builders directly where they are solving problems.
04
GitHub marketplace listing
Capture high-intent traffic from existing repository workflows.

DISTRIBUTION ADVANTAGE
Viral loop
Every security badge on a public repo acts as a referral.
CI/CD integration
We slot directly into enterprise pipeline-based security gates.
Findings are shareable
File-level evidence makes it easy for teams to collaborate on fixes.
Why Us · Why Now
The window to own AI safety tooling is open — for the next 18 months.
WHY THIS TEAM
  • Built SafetyGuard end-to-end — 10 working AI agents, live report generation, CI/CD integration
  • Deep domain knowledge across LLM security, OWASP, multi-agent architectures
  • Shipped a working product in hackathon timeline — speed is the default mode
  • Would go full-time if this gets traction
WHY NOW
Regulation
EU AI Act mandates risk assessments. US EO on AI safety. Compliance demand is real and growing.
AI App Explosion
600K+ AI repos on GitHub, growing 40% YoY. Every team shipping AI is a potential customer.
Breach Fatigue
Prompt injection, data leaks, jailbreaks making headlines. Risk is no longer hypothetical.
Made with