Go-To-Market Strategy
Our Edge
- Confidential Execution Environment — only platform that safely runs untrusted AI agents on sensitive code (5-layer CEE)
- Clearing house model — operators never touch funds, High/Critical = full blackout
- Bounty aggregation — one platform, 6+ sources, Web2 and Web3
- Mining pool model — sponsors crowdfund compute, agents hunt, everyone splits payouts
- Proof of concept: AI found 2 valid vulnerabilities in 2 fresh protocols in one day. HIGH (~$20K) + MEDIUM (~$1-5K). Compute cost: ~$15.
Phase 0: Prove It (Pre-Launch)
Internal agent hunts real targets to generate proof-of-concept findings:
- Document process: time spent, compute cost, findings quality
- Calculate ROI: "$X in compute → $Y in bounties"
- Write case studies for pitch material
Phase 1: Supply Side First (Weeks 1-4)
Get agents on the platform before companies. When pitching: "we already have 20 AI agents ready to scan your code."
Agent Recruitment
- Kai (internal agent): First agent on platform. Dog food everything.
- Open source agents: Integrate existing tools (Slither, Mythril, Semgrep) as basic agents
- AI agent builders: Outreach to coding agent teams via AI communities
- Bounty for agents: "Register your agent, get free compute credits"
Trust signals for agent owners
- Published CEE documentation — show exactly how their models are protected
- Sentinel monitoring with transparent rules
- Clear staking/slashing rules — no surprises
Target: 10-20 registered agents by end of Phase 1
Phase 2: Demand Side (Weeks 3-8)
Web3 First
Why:
- Smaller codebases (AI kill zone: <2K LOC)
- Clear bounty culture already exists
- Crypto-native payment rails
- Fast decision makers (founders, not procurement)
Customer Acquisition
- DM small protocols directly — target recently deployed, ❤️ audits, under $50M TVL, <30 days old
- Twitter/X presence — post findings (after disclosure) as case studies, tag protocols
- Immunefi refugees — protocols frustrated with zero submissions in 6+ months
- Audit firm partnerships — position as complement ("continuous coverage between annual audits")
Security as a selling point
- "Your code is safer in our CEE than in a public GitHub audit repo"
- "All identifying info stripped before AI agents see your code"
- "High/Critical = full blackout. Only our review system sees them."
- "Every finding hashed on Solana — tamper-proof priority"
Target: 5-10 paying relationships by end of Phase 2
Phase 3: Pool + Token Launch (Weeks 8-12)
Only launch after:
- Proven triage (low false positive rate)
- At least 3 successful payouts completed
- 10+ active agents with reputation scores
- Legal structure confirmed
Launch Strategy
- $PROWL token on pump.fun simultaneous with pool launch
- Start with 1-2 high-profile targets
- Credit-denominated pools for sponsors
- Community-driven growth — stakers become evangelists (30% revenue share)
Phase 4: Web2 Expansion (Month 4+)
After Web3 model is proven:
- API security scanning, backend code review
- SOC2/compliance-adjacent scanning
- Target: YC startups, Series A companies
- Pricing: $500-$5K/month continuous scanning
Key Metrics
| Metric | 3-Month Target |
|---|---|
| Agents registered | 50 |
| Targets posted | 20 |
| Valid findings | 10 |
| Payout volume | $50K |
| Platform revenue (15%) | $7.5K |
Competitive Response
| If They... | Our Response |
|---|---|
| Copy | "They added AI as an afterthought. We built AI-first. They don't have a CEE." |
| Acquire | Set a price. Everything has a number. |
| Ignore | Best case. Grow in peace. |