PolicyPatch

AI parses your cyber policy, flags uncovered threats for SaaS

Score: 8.0/10FranceMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Small SaaS businesses endure constant worry from compliance and coverage gaps in cyber insurance policies that fail to keep pace with modern cyber threats.

Solution

Upload your cyber insurance PDF; PolicyPatch uses AI to extract clauses and compare against 100+ modern threats. It highlights gaps like ransomware exclusions or cloud misconfigs not covered. Get broker-ready amendment suggestions to strengthen coverage instantly.

Target Audience

small SaaS businesses

Differentiator

Document-first approach with OCR + LLM parsing tuned for insurance legalese

Brand Voice

supportive

Features

Policy Upload & Parse

must-have25h

OCR + AI extracts key clauses from PDF

Threat Matching

must-have18h

Compares clauses to curated threat library

Gap Visualization

must-have15h

Interactive heatmap of coverage vs risks

Amendment Suggester

must-have20h

AI-generated policy add-ons

History & Versions

must-have12h

Track policy changes over time

Benchmarking

nice-to-have10h

Compare to industry avg coverage

Export to Broker

nice-to-have8h

Shareable links/reports

Auto-Updates

nice-to-have12h

Re-parse on new threats

Total Build Time: 120 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
created_attimestampNo

policies

ColumnTypeNullable
iduuidNo
user_iduuidNo
filenametextNo
parsed_clausestextYes

Relationships:

  • β€’ user_id -> users.id

threats

ColumnTypeNullable
iduuidNo
nametextNo
categorytextNo

gap_analyses

ColumnTypeNullable
iduuidNo
policy_iduuidNo
threat_iduuidNo
coveredboolNo

Relationships:

  • β€’ policy_id -> policies.id
  • β€’ threat_id -> threats.id

API Endpoints

POST
/api/policies

Upload and parse policy

πŸ”’ Auth Required
GET
/api/policies/:id/analysis

Get gap analysis

πŸ”’ Auth Required
GET
/api/threats

List threats

GET
/api/suggestions/:id

AI amendment suggestions

πŸ”’ Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + Shadcn/ui
Backend
Next.js API + Supabase
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Groq/OpenAI for LLMTesseract OCR

Build Timeline

Week 1: Auth, upload, parse MVP

35h
  • βœ“ PDF upload
  • βœ“ Basic LLM extraction

Week 2: Threat matching

30h
  • βœ“ Gap calc
  • βœ“ Viz dashboard

Week 3: Suggestions & history

30h
  • βœ“ AI suggester
  • βœ“ Versioning

Week 4: UI polish & payments

25h
  • βœ“ Exports
  • βœ“ Stripe

Week 5: Optimizations

18h
  • βœ“ Benchmarking

Week 6: Testing & launch prep

15h
  • βœ“ E2E tests
Total Timeline: 6 weeks β€’ 153 hours

Pricing Tiers

Free

$0/mo

Basic threats only

  • βœ“1 policy analysis

Pro

$25/mo
  • βœ“Unlimited analyses
  • βœ“Full threats
  • βœ“Suggestions

Enterprise

$99/mo
  • βœ“All Pro + Team access
  • βœ“Priority AI
  • βœ“Custom threats

Revenue Projections

MonthUsersConversionMRRARR
Month 1804%$100$1,200
Month 63509%$780$9,360

Unit Economics

$35
CAC
$380
LTV
6%
Churn
90%
Margin
LTV:CAC Ratio: 10.9xExcellent!

Landing Page Copy

Unlock Hidden Gaps in Your Cyber Policy

AI reads your insurance docs so you don't have toβ€”fix coverage before claims hit.

Feature Highlights

βœ“AI clause extraction
βœ“Threat-coverage heatmap
βœ“Broker-ready suggestions
βœ“SaaS threat focus

Social Proof (Placeholders)

"'Found $50k uncovered risk instantly' - SaaS CEO"
"'Brokers loved the report' - Founder"

First Three Customers

Share Figma mockups in SaaS Twitter communities; Offer free analyses to 5 founders complaining about insurance in forums; Cold email small SaaS from Crunchbase with policy gap teaser.

Launch Channels

Product Huntr/insuranceSaaS Growth Twitter

SEO Keywords

analyze cyber insurance policySaaS policy gapscyber coverage checker

Competitive Analysis

Policygenius

policygenius.com
Commission
Strength

Quotes

Weakness

No gap analysis

Our Advantage

Deep parsing + threats

🏰 Moat Strategy

LLM fine-tuned on 1000+ policies for accuracy

⏰ Why Now?

AI doc parsing maturity + cyber premiums up 50%

Risks & Mitigation

technicalhigh severity

LLM hallucination in parsing

Mitigation

Human-curated templates + user verify

executionmedium severity

Slow processing

Mitigation

Fast LLMs like Groq

Validation Roadmap

pre-build5 days

Manual parse 5 policies

Success: 80% accuracy

mvp10 days

10 beta uploads

Success: Positive NPS

Pivot Options

  • β†’General insurance parser
  • β†’Contract review tool
  • β†’Legal doc AI

Quick Stats

Build Time
153h
Target MRR (6 mo)
$1,500
Market Size
$400.0M
Features
8
Database Tables
4
API Endpoints
4