Can your smartphone detect gunfire? Chicago startup puts new technology to the test
SplitSec analyzes sound on smartphones and uses corroborating detections to provide possible-gunfire alerts.
Press Kit
Press materials, ready to use
Logos, screenshots, fact sheet, executive bios, and official media contact for SplitSec.AI.
Tagline Hear first. Move fast.
HQ Chicago, IL
Quick picks
Most requested assets for journalists and partners.
Fact sheet
One page overview and key points
Logo pack
Wordmark, icon, light and dark
Photos and screenshots
Approved imagery for coverage
Need more? Use the full folder link above.
Company overview
SplitSec.AI helps teams recognize suspected gunfire fast. Privacy-first, on-device detection. Raw audio is never transmitted to SplitSec.
Tagline
Hear first. Move fast.
Messaging for press and social
Vision
Save lives
Save lives through early detection and warning of gunshots.
Founded
2025
Chicago based team
Media contact
pri@splitsec.ai
Email for interviews and assets
Short boilerplate
SplitSec.AI provides privacy-first, on-device gunshot awareness using everyday smartphones. Our vision is to save lives through earlier awareness and warning of possible gunfire. Sound is analyzed on your phone. Raw audio is never transmitted to SplitSec. Derived sound signatures may be submitted through labeled feedback or separately enabled automatic sharing.
Live Media
Press coverage
Recent news segments featuring SplitSec
Potential ShotSpotter replacement could rely on cellphones
A new program is being tested in the Chicago area to potentially replace ShotSpotter, and it relies on mobile phones to detect gunfire.
Chicago startup SplitSec uses your phone to detect gunshots | ChicagoLIVE
A Chicago startup is using artificial intelligence to detect gunshot sounds using your phone. SplitSec founder and CEO Sri Deivasigamani joins ChicagoLIVE to explain why the system was developed and how it works.
Can Your Phone Warn You When Shots Are Fired? Gunshot Detection App Tested In 2 Chicago Wards
SplitSec, a Chicago company, says its app uses residents' phones instead of the fixed acoustic sensors used by the controversial Shotspotter program, which was discontinued by the city.
Sri Deivasigamani - Would You Let an App Listen for Gunshots?
SplitSec.AI founder and CEO Sri Deivasigamani joins Lars to discuss technology that turns smartphones into sensors capable of detecting nearby gunfire. Would you give an app access to your phone’s microphone if it could help police respond faster?
Media
Featured in
As seen on major news outlets
Key differentiators
For smartphone deployments: fast awareness without cameras or wiring.
Privacy first
Sound is analyzed on your phone. Raw audio is never transmitted to SplitSec. Derived sound signatures may be submitted through labeled feedback or separately enabled automatic sharing.
Real-time response
Provides rapid on-device gunshot detection.
No extra hardware
For smartphone deployments: runs on standard smartphones without requiring extra hardware, making advanced safety technology accessible.
Patents pending
Proprietary AI and IP portfolio focused on defensibility and trust.
AI for good
Built to save lives while upholding privacy, transparency, and responsible AI practices.
Recognized innovation
2025 Chicago Innovation Awards nominee.
Official Media Library
Media assets
Use these to build a consistent story, then download originals from the full folder.
Logos and brand
Identity assets and guidelines
Logo pack
Primary logo, wordmark, light and dark
Brand guidelines
Color, spacing, usage rules
Name usage rules
Quick copyHeadlines
SplitSec.AI
Body copy
SplitSec AI
Use SplitSec.AI in headlines. Use SplitSec AI in body copy if punctuation is constrained.
App screenshots
High-resolution interface screens
Photos
Executive team portraits
Executive bios
Short bios for fast media use, plus the long form bio document.
SD
Sridhar Deivasigamani
Founder and CEO
Leads SplitSec AI's mission to deliver privacy-first, on-device detection through everyday smartphones.
VN
Viet Nguyen
Chief Engineer, AI/ML
Builds and optimizes on-device ML models trained on real-world sounds for fast, reliable detection.
PD
Prithika Deivasigamani
Director of Growth and Strategy
Drives partnerships and go-to-market execution, bridging AI technology, public safety, and community impact.
Media
Videos
Founder story and technical walkthrough. Use the link to access latest versions.
Sri: Why we built SplitSec AI ↗
Founder story and mission
Viet: How SplitSec AI works ↗
Technical overview and demo
Press
Media contact
For interviews, quotes, and asset requests.
pri@splitsec.ai
Response within one business day.
Quick guidance
Sound is analyzed on your phone. Raw audio is never transmitted to SplitSec. Derived sound signatures may be submitted through labeled feedback or separately enabled automatic sharing.
For pilots and operations, alerts and external integrations may use connectivity when available.
Download
All approved assets live here. Use this for logos, screenshots, and video.