# Floorsense

*/Startups/Floorsense*

## Startup Overview

This system extracts continuous movement coordinates directly from existing CCTV streams. It transforms standard security camera feeds into a high-fidelity spatial data grid, tracking movement across large floor plans without requiring new physical infrastructure.

Retail operators and facility managers require precise utilization metrics to optimize layouts, but gathering this data traditionally involves running sporadic manual space audits or deploying expensive custom sensor arrays. These physical installations disrupt daily operations and add significant capital expense just to measure foot traffic.

Operating entirely hardware-free, the software bypasses the deployment bottlenecks associated with competitors like RetailNext and Density. It utilizes the cameras already mounted in the ceiling to deliver continuous spatial coordinate tracking, giving operators persistent visibility into how physical spaces actually function.

## Startup Founding Hypothesis

**Approach**: that extracts continuous movement coordinates from existing CCTV streams
**Competitors**:
- [RetailNext](/Competitors/RetailNext)
- [Density](/Competitors/Density)
- [manual space audits](/Competitors/manual_space_audits)
**Differentiator2x2**: entirely hardware-free and delivers continuous spatial coordinate tracking

## Startup Solution Coordinate

**Solution**: [Spatial Coordinate Engine](/Software/Spatial_Coordinate_Engine)

## Startup Position2x2

```mermaid
quadrantChart
title Spatial Tracking Approaches
x-axis Dedicated Sensors --> Hardware-Free
y-axis Periodic or Aggregate --> Continuous Spatial Coordinates
quadrant-1 Software-Only Tracking
quadrant-2 Sensor-Based Tracking
quadrant-3 Legacy Hardware Spot-Checks
quadrant-4 Manual Spot-Checks
Floorsense: [0.85, 0.85]
RetailNext: [0.35, 0.75]
Density: [0.15, 0.85]
manual space audits: [0.90, 0.15]
```

## Startup Offer

**Proof**:
- Targeting 95% spatial coordinate tracking accuracy compared to dedicated hardware sensor installations.
- Aiming to map and activate a 50-camera retail location in under 48 hours with zero hardware deployment.
- Intended to reduce spatial utilization audit costs by 80% for commercial real estate operators.
**Tiers**:
- Name: Single Site · Price: ~$40–$60 per stream/mo · Inclusions: Up to 20 existing IP camera streams mapped to a single unified floorplan, delivering continuous coordinate extraction and standard 7-day spatial data retention.
- Name: Multi-Site Portfolio · Price: ~$25–$40 per stream/mo · Inclusions: Volume deployment for 50+ camera streams across multiple locations, including API access to the live coordinate firehose and 30-day historical footprint heatmaps.
**Guarantee**: If Floorsense cannot successfully calibrate to your floorplan and extract continuous spatial coordinates from your existing standard IP camera feeds within 14 days of connection, you receive a full refund of your first month's processing fees.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our existing security cameras have blind spots and low resolution. Rebuttal: Floorsense is designed to stitch overlapping fields of view and extrapolate brief occlusions using predictive trajectory modeling.
- Objection: Streaming all our video to the cloud will consume our entire network bandwidth. Rebuttal: The platform is intended to support an on-site edge node that processes video locally, sending only lightweight coordinate metadata to the cloud.
- Objection: Will connecting to our cameras impact our live security monitoring? Rebuttal: The system reads secondary RTSP streams out-of-band, ensuring zero interference with primary security recording and monitoring operations.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Analytical and direct, delivering spatial measurements without technical embellishment
**Tagline**: Continuous foot traffic maps from your existing CCTV cameras
**Icon Concept**: footprint
**Palette Intent**: electric-signal
**Visual Identity**: The identity contrasts deep matte blacks with vivid neon tracking lines to evoke continuous movement paths extracted from static security feeds.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Floorsense → Retail IT/Security Managers → Space Planners & Merchandisers
**Gtm Motion**: Acquires initial pilot customers by targeting retail IT and security leaders who manage existing video systems, offering a zero-hardware trial using historical video files. Expands by activating the service across the customer's entire camera network and cross-selling the resulting spatial datasets to merchandising teams.
**Agent Channel**: Designed to expose an OpenAPI specification for spatial coordinate retrieval, targeting registration in AI agent tool directories (like LangChain's tool library or OpenAI's custom action registry) so autonomous retail-planning agents can programmatically query zone traffic and dwell times.
**Primary Channel**: Inbound discovery designed to target the technology partner directories of major Video Management Systems (such as Genetec or Milestone), capturing retail operations buyers searching for hardware-free spatial analytics and people-counting add-ons.

## Startup Customer Journey

```mermaid
flowchart LR N1[VMS Partner Directory] --> N2[Historical Video Trial] --> N3[Unified Floorplan Map] --> N4[Live Coordinate Firehose] --> N5[Merchandising Spatial Dataset] --> N6[OpenAPI Tool Registry]
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 14-day single-site pilot connecting up to 20 existing IP cameras to a unified floorplan, aiming to validate successful spatial calibration and continuous coordinate extraction
- 30-day multi-site deployment across 50+ camera streams, targeting proof of the edge node's ability to deliver a live coordinate firehose without consuming critical outbound network bandwidth
**Target Metrics**:
- Target: 95% spatial coordinate tracking accuracy compared to dedicated hardware sensor installations
- Aim: Under 48-hour mapping and activation time for a 50-camera retail location
- Target: 80% reduction in spatial utilization audit costs for commercial real estate operators
- Aim: 90% reduction in required network bandwidth when deploying the on-site edge node to process video locally into coordinate metadata
**Target Case Studies**:
- Mid-sized retail chain Operations Director transforming existing security camera feeds into continuous floor traffic heatmaps without requiring CapEx for specialized foot-traffic hardware
- Large commercial real estate Facilities Manager reducing spatial utilization audit costs by mapping tenant space usage across a multi-site portfolio using the building's legacy IP cameras
- Regional warehouse Logistics Coordinator identifying bottleneck zones by tracking forklift and pedestrian trajectories stitched together from overlapping standard camera views
**Testimonial Targets**:
- Facilities Manager emphasizing the ease of generating reliable 30-day footprint heatmaps without installing a single new piece of hardware
- Head of IT Security expressing relief that reading secondary RTSP streams out-of-band caused zero interference with primary security monitoring
- Retail Operations Director praising how the predictive trajectory modeling maintained continuous spatial tracking even when subjects passed through camera blind spots

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Strict biometric privacy laws like BIPA or GDPR prohibit the cloud processing of continuous CCTV feeds containing unblurred human faces. · Mitigation Status: unmitigated
- Severity: high · Description: Low resolution, poor lighting, and blind spots in legacy CCTV deployments prevent the computer vision models from maintaining continuous tracking continuity. · Mitigation Status: in-progress
- Severity: high · Description: Proprietary legacy Video Management Systems restrict API access to live video streams, forcing complex and brittle per-site network configurations. · Mitigation Status: unmitigated
- Severity: moderate · Description: The bandwidth and GPU compute costs of streaming and processing multiple continuous video feeds erode the margin advantage of the hardware-free model. · Mitigation Status: in-progress

## Startup Competitors

- [RetailNext](/Competitors/RetailNext) — Hardware-Heavy Incumbent
- [Density](/Competitors/Density) — Dedicated Sensors
- [Manual Space Audits](/Competitors/Manual_Space_Audits) — Status Quo
- [ShopperTrak](/Competitors/ShopperTrak) — Legacy People Counting
- [Pathr AI](/Competitors/Pathr_AI) — Spatial Intelligence

## Startup Story Brand

**Hero**:
- **Need**: to be the strategist who optimizes space with precision data, not guesses
- **Want**: to map continuous foot traffic and spatial utilization using existing facility infrastructure
- **Identity**: the operations director at a high-volume retail or commercial facility
**Plan**:
- Step: Submit streams · Detail: Provide your existing IP camera RTSP links and a digital floorplan of your facility.
- Step: Verify coordinates · Detail: Review the live calibration to ensure 95% spatial accuracy across your entire footprint.
- Step: Analyze movement · Detail: Access the live coordinate firehose and heatmaps to optimize your site layout.
**Guide**:
- **Empathy**: Does your floorplan still hide traffic bottlenecks because your security feeds are siloed from your analytics?
**Problem**:
- **Villain**: expensive hardware sensors
- **External**: Traditional space audits rely on manual headcounts or installing dedicated hardware like Density sensors while existing CCTV feeds go wasted.
- **Internal**: You feel frustrated that your expensive camera network only records crime instead of providing operational value.
- **Philosophical**: Why should facility leaders accept blind spots in spatial data when every square foot is already on camera?
**Success**: Your entire facility portfolio is mapped with continuous spatial data, turning static video into a live coordinate firehose.
**One Liner**: Every shift, operations directors miss critical traffic patterns. Floorsense extracts continuous movement coordinates from existing CCTV streams so you get total spatial visibility without new hardware.
**Positioning**:
- **So That**: track continuous foot traffic using existing security cameras
- **Unlike**: manual space audits and RetailNext
- **For Whom**: operations directors at high-volume commercial facilities
- **Category**: Hardware-free spatial analytics
**Call To Action**:
- **Direct**: Connect existing streams
- **Transitional**: View sample floorplan heatmap
**Failure Stakes**:
- Overpaying for redundant hardware sensors
- Missed revenue from unoptimized floorplans
- Wasted labor on manual audits
**Transformation**:
- **To**: free to optimize high-value traffic zones, no longer stuck guessing footprint utilization
- **From**: a facility manager conducting manual space audits
**Controlling Idea**: Existing security cameras should provide continuous spatial intelligence for every square foot.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every shift, operations directors miss critical traffic patterns. Floorsense extracts continuous movement coordinates from existing CCTV streams so you get total spatial visibility without new hardware.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: baf8cb991f5197c3

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Hardware-free spatial analytics for operations directors at high-volume commercial facilities. Unlike manual space audits and RetailNext — track continuous foot traffic using existing security cameras.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 74bdf18ad74650f2

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Traditional space audits rely on manual headcounts or installing dedicated hardware like Density sensors while existing CCTV feeds go wasted.
Solution: Every shift, operations directors miss critical traffic patterns. Floorsense extracts continuous movement coordinates from existing CCTV streams so you get total spatial visibility without new hardware.
Customer: operations directors at high-volume commercial facilities
Unlike: manual space audits and RetailNext
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 5a52f692b606c593

## Startup Token M E D D P I C C

**Pain**: Traditional space audits rely on manual headcounts or installing dedicated hardware like Density sensors while existing CCTV feeds go wasted.
**Metrics**: Target: Your entire facility portfolio is mapped with continuous spatial data, turning static video into a live coordinate firehose.
**Rendered**: Pain: Traditional space audits rely on manual headcounts or installing dedicated hardware like Density sensors while existing CCTV feeds go wasted.
Economic buyer: Retail IT/Security Managers
Metrics: Target: Your entire facility portfolio is mapped with continuous spatial data, turning static video into a live coordinate firehose.
Competition: manual space audits and RetailNext
**Mechanism**: spine-derived-v1
**Competition**: manual space audits and RetailNext
**Economic Buyer**: Retail IT/Security Managers
**Vocab Fingerprint**: 42c551d6e0d0c436

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Hardware-free spatial analytics for operations directors at high-volume commercial facilities

operations directors at high-volume commercial facilities — Traditional space audits rely on manual headcounts or installing dedicated hardware like Density sensors while existing CCTV feeds go wasted. Every shift, operations directors miss critical traffic patterns. Floorsense extracts continuous movement coordinates from existing CCTV streams so you get total spatial visibility without new hardware.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 916b41458b910925

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Hardware-free spatial analytics. Every shift, operations directors miss critical traffic patterns. Floorsense extracts continuous movement coordinates from existing CCTV streams so you get total spatial visibility without new hardware. Serves operations directors at high-volume commercial facilities.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 5da75c841ac9b2b1

## Neighborhood

### Candidate solutions

- [Specialized Floor Staff Recruitment](/Problems/Specialized_Floor_Staff_Recruitment) — candidate solution for · Problems

### Competitors

- [Manual Space Audits](/Competitors/Manual_Space_Audits) — competes with · Competitors
- [Pathr AI](/Competitors/Pathr_AI) — competes with · Competitors
- [RetailNext](/Competitors/RetailNext) — competes with · Competitors
- [Density](/Competitors/Density) — competes with · Competitors
- [ShopperTrak](/Competitors/ShopperTrak) — competes with · Competitors
- [Facebook Hobby Groups](/Competitors/Facebook_Hobby_Groups) — competes with · Competitors
- [Local Trailhead Flyers](/Competitors/Local_Trailhead_Flyers) — competes with · Competitors
- [Manual Resume Screening](/Competitors/Manual_Resume_Screening) — competes with · Competitors
- [Indeed Job Boards](/Competitors/Indeed_Job_Boards) — competes with · Competitors
- [Craigslist](/Competitors/Craigslist) — competes with · Competitors
- [Indeed](/Competitors/Indeed) — competes with · Competitors
- [ZipRecruiter](/Competitors/ZipRecruiter) — competes with · Competitors
- [Trailhead Flyers](/Competitors/Trailhead_Flyers) — competes with · Competitors
- [Facebook Groups](/Competitors/Facebook_Groups) — competes with · Competitors
- [Local Facebook Groups](/Competitors/Local_Facebook_Groups) — competes with · Competitors
- [General Job Boards](/Competitors/General_Job_Boards) — competes with · Competitors
- [Facebook Sports Groups](/Competitors/Facebook_Sports_Groups) — competes with · Competitors
- [Snagajob](/Competitors/Snagajob) — competes with · Competitors

### What it offers

- [Spatial Coordinate Engine](/Software/Spatial_Coordinate_Engine) — offers · Software
- [Aptitude Bench](/Services/Aptitude_Bench) — offers · Services
- [Aisle Fluency](/Services/Aisle_Fluency) — offers · Services

### Embodies

- [Software](/Theses/Software) — embodies · Theses
- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Composed of

- [Dexterity Scoring Worker](/Agents/Dexterity_Scoring_Worker) — composes · Agents
- [Gear Taxonomy API](/Software/Gear_Taxonomy_API) — composes · Software
- [Troubleshooting Scenario Engine](/Software/Troubleshooting_Scenario_Engine) — composes · Software
- [Fluency Assessment Agent](/Agents/Fluency_Assessment_Agent) — composes · Agents
- [Aptitude Bench Service](/Services/Aptitude_Bench_Service) — composes · Services
- [Technical Taxonomy API](/Software/Technical_Taxonomy_API) — composes · Software
- [Troubleshooting Simulation Engine](/Software/Troubleshooting_Simulation_Engine) — composes · Software
- [Gear Aptitude Agent](/Agents/Gear_Aptitude_Agent) — composes · Agents
- [Aisle Fluency Service](/Services/Aisle_Fluency_Service) — composes · Services

### Who it serves

- [Sporting Goods Retailers](/CompanyTypes/Sporting_Goods_Retailers) — serves · CompanyTypes

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