Autonomous AI Security Drones for 24/7 Protection
RazorClaw Systems combines advanced computer vision with enterprise drones to prevent intrusions before they escalate.
The Blind Spot in Traditional Security
Traditional security lacks continuous coverage, rapid response, and real-time analytics. Human fatigue and blind spots lead to missed incidents and rising costs.
Autonomous Patrol. Continuous Coverage.
RazorClaw Systems deploys autonomous patrol drones with AI detection to identify risks early, deter intruders, and stream alerts to operators — reducing response time and total cost of ownership.
Why Now
Mature Enterprise Drones
DJI Enterprise Matrice 30T-class hardware enables reliable all-weather patrols.
On-Device AI
Efficient computer vision models now run at the edge for faster, safer decisions.
Operational Pressure
Security teams face labor shortages and rising costs — automation multiplies coverage.
System Architecture
Stack
- 01DJI Enterprise Matrice 30T platform
- 02Autonomous navigation + remote wireless charging
- 03Edge AI (vision) for detection & tracking
- 04Secure app for alerts, review and escalation
- 05Non-lethal deterrent payload (pepper-spray canister)
Safety & Compliance
Fail-Safes
- Return-to-home
- Geo-fencing
- Manual override
Security
- Audit logs
- Role-based access
- Encryption in transit
Operations
- Local laws and site policies respected during operation
Honest Numbers, Published After Validation
TAM / SAM / SOM
ResearchMethodology in progress. No speculative figures. Results to be published post-validation.
- Methodology: bottom-up (site count × patrol hours × ASP)
- Sources: buyer interviews, public procurement data
Pilot Pipeline
In ProgressProspect discovery and requirements mapping underway with early adopters.
- Methodology: structured intake + site audit
- Artifacts: MoSCoW backlog, success metrics
Unit Economics
MethodologyCost model = hardware (BOM) + charging + software + ops. Publish after pilot.
- Approach: cohort LTV/CAC, payback target
- Evidence: field logs, downtime analysis
Mission Timeline
MVP Assembly & Bench Tests
Integrate platform, edge vision and remote charging. Validate core flows.
In ProgressField Pilots
Deploy supervised pilots on private sites with explicit policies and KPIs.
V1 Launch
Subscription model, support SLAs and onboarding playbooks.
Founder & CEO
Roman Chaikin
Product & OperationsBuilding RazorClaw Systems with a focus on safety, reliability and clear economics.
Current Status
- Brand & landing establishedActive
- MVP parts sourcing & prototypingIn Progress
- Pilot criteria & safety checklistIn Progress
Investment Ask
Raising to complete MVP, run pilots and reach v1 readiness.
- Use of funds: hardware, engineering, pilots
- Runway targets aligned with milestones
No inflated claims or fabricated metrics. We publish results after methodical validation.
Request the Pitch Deck
Leave your details and we'll send the RazorClaw Systems pitch deck and follow-up updates.