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AI infrastructure

Percepta Labs

Percepta leverages unbiased, AI-driven computer vision technology to analyze existing security camera feeds and alert employees of shoplifting incidents in real-time.

sources
1
Evidence entries preserved.
affiliations
1
Techstars
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Techstars

techstars-portfolio #3915

Percepta leverages unbiased, AI-driven computer vision technology to analyze existing security camera feeds and alert employees of shoplifting incidents in real-time.

source
generated read
High Signal interpretation

Percepta Labs is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
AI-driven computer vision technologyemployees
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Percepta Labs

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Ambient.ai

match 76

Ambient.ai is a computer vision intelligence company transforming enterprise security operations to prevent security incidents before they happen. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and automate the immediate dispatch of human resources. Ambient.ai is the first platform that goes beyond basic motion detection and image recognition to achieve near-human perception with

shared extracted concept terms: computer, vision; shared product terms: computer, vision, security, incident; shared product theme: security and compliance; same category: AI infrastructure

Lexius

match 64

Lexius turns existing security cameras into an AI security guard that detects, documents, and alerts incidents like shoplifting and slip-and-falls. Millions of locations already have cameras but no intelligence. Replacing them costs $50K to $100K per site. Lexius upgrades every camera instantly, no rip and replace, no new hardware. Real-world camera systems are messy, fragmented, and decades old, and AI breaks on low-quality CCTV. The hard part isn’t the model, it’s making unreliable systems wor

shared product terms: exist, security, camera, alert; shared product theme: security and compliance; same category: AI infrastructure

LSVR

match 53

ARpalus helps CPG and Retailers in optimizing their in-store operations and product-availability using real-time computer-vision on tablets and smartphones

shared extracted concept terms: computer, vision; shared product terms: real, time, computer, vision; shared affiliation: Techstars

Tempo

match 52

SmartSpot is a post Series-A stealth startup backed by Founders Fund and Khosla Ventures that uses computer vision to deliver an unparalleled fitness training experience to your home. Our unique hardware solution gives amazing trainers the ability to see their class participants in real time and deliver detailed advice that was previously only possible in person.

shared extracted concept terms: computer, vision; shared product terms: computer, vision, real, time

Rebulk

match 52

Rebulk accurately measures and monitors bulk inventory like piles of feed, sand, and other assets that do not fit into boxes and barcodes using cameras, LiDAR, and computer vision. Most bulk inventory is still managed with rough estimates, manual checks, delayed updates, and too much guesswork. Because it lives in piles, bays, yards, and truck beds instead of boxes with barcodes, it is much harder to track accurately. When teams do not know what is actually on site, it leads to shrink, stockouts

shared extracted concept terms: computer, vision; shared product terms: computer, vision, camera, feed

Urban Data Eye

match 51

Artificial vision to extract all objects of interest from any camera in real time and in an anonymous way in order to analyze the profitability of any space

shared extracted concept terms: vision; shared product terms: vision, analyze, camera, real; shared affiliation: Techstars