Protent

Product & Competitive Intelligence

Real-time AI threat detection in live surveillance for law enforcement and security.

Company Overview

Builds a real-time AI-powered video intelligence platform that uses deep learning, multimodal vision-language models, and reinforcement learning to detect and escalate threats in live surveillance feeds for law enforcement and large-scale security operations.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

Protent has publicly announced pilot deployments with police departments in Atlanta, Chicago, and St. Louis, focusing on real-time threat detection in live video feeds. Their YC W26 Demo Day profile highlights proactive surveillance intelligence, natural language video querying, and early escalation pattern detection as core platform capabilities.

Signals & Private Analysis

The team's lean size (2-3 technical founders, no public job postings) signals a heads-down, pilot-driven development phase tightly coupled to law enforcement feedback loops. Founder Srihan Balaji's prior work deploying RL-optimized video intelligence at Lockheed Martin suggests proprietary reinforcement learning techniques for alert prioritization. Strong indicators of near-term expansion to adjacent verticals (stadiums, transit, corporate campuses) and likely development of integration APIs for existing VMS/PSIM platforms.

Product Roadmap Priorities

Real-Time Video Threat Detection
Improving
Risk Reduction
Operations

Real-time detection of weapons, fights, and medical emergencies in live surveillance video feeds using deep learning object detection and activity recognition models.

In Plain English

AI watches thousands of security cameras simultaneously and instantly alerts officers when it spots a weapon, a fight breaking out, or someone collapsing.

Analogy

It's like giving every security camera its own tireless, eagle-eyed guard who never blinks, never takes a bathroom break, and immediately radios for backup the moment something looks wrong.

Multimodal Vision-Language Search
Improving
Decision Quality
Product

Natural language querying of live and archived surveillance video using multimodal vision-language models, enabling operators to search footage by describing events in plain English.

In Plain English

Instead of scrubbing through days of security footage, an officer can just type "person in red jacket near the east entrance at 2pm" and the system finds it instantly.

Analogy

It's like having a Google search bar for your security cameras—except instead of searching the internet, you're searching everything every camera has ever seen, and it actually understands what you're asking.

Reinforcement Learning Alert Triage
Improving
Operational Efficiency
Engineering

Reinforcement learning-based alert prioritization system that dynamically ranks and filters threat detections to minimize false positives and surface the highest-risk incidents first for human review.

In Plain English

AI learns from every alert an officer acts on or dismisses, getting smarter over time about which threats are real and which are just someone waving a selfie stick.

Analogy

It's like training a really smart assistant who learns that when your boss emails you at 11pm it's urgent, but when the office newsletter lands at 9am it can wait—except the stakes are a lot higher than inbox management.

Company Overview

Key Team Members

  • Srihan Balaji, Co-Founder & CEO
  • Harisai Karthikeyan, Co-Founder
  • Abhisheik Sharma, Co-Founder

Protent combines rare production experience deploying reinforcement learning for video intelligence in classified defense environments (Lockheed Martin) with cutting-edge UC Berkeley systems research, giving them a unique ability to build ML models that work reliably on messy, real-world surveillance feeds, not just academic benchmarks.

Funding History

  • 2025 | Protent founded by Srihan Balaji, Harisai Karthikeyan, and Abhisheik Sharma.
  • 2025 | $500K Seed round from 1 institutional investor.
  • 2025-2026 | Pilot deployments with Atlanta, Chicago, and St. Louis police departments.
  • 2026 | Accepted into Y Combinator Winter 2026 batch.

Competitors

  • AI Video Analytics: Ambient.ai, Actuate AI, Vintra (real-time threat detection).
  • Traditional VMS/PSIM: Genetec, Milestone Systems, Avigilon (video management).
  • Computer Vision Platforms: Plainsight, Roboflow (general CV tooling).
  • Government/Defense AI: Palantir, Anduril (broader public safety AI).