anavid
Computer-vision deeptech helping retailers lose less and sell more—on the cameras they already have.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| N/A | €0.0 | round | |
€500k | Seed | ||
| Total Funding | 000k | ||
| EUR | 2019 | 2020 | 2021 |
|---|---|---|---|
| EV / revenue | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x |
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Anavid is a Paris-based computer-vision deeptech focused on Retail Intelligence. We turn existing CCTV into privacy-respectful sensors that deliver real-time, actionable insight—helping stores lose less and sell more while improving customer experience.
Mission: empower organizations with real-time, affordable, privacy-first video analytics that transform massive video flows into useful, ethical, high-impact insights.
Products:
- Shoplifting Detector – an AI layer that analyzes live video to spot theft-related behaviors and send instant, human-actionable alerts (short audit clips) to store teams. Works with existing cameras, runs on-premise or in the cloud, and uses encryption, access controls, and auditing. No facial recognition or PII.
- ShopAnalytics – store intelligence: footfall counting, queue measurement, heatmaps, dwell patterns, and aggregate age/gender estimation. Insights guide staffing, layout, and promotions. Open APIs connect to POS/ERP/WFM/CRM.
Why Anavid?
- Deploys on infrastructure retailers already own; scales to multi-camera, multi-site estates.
- Privacy by design (anonymization, encryption, role-based access; no biometrics).
- Flexible architecture: edge + cloud options, data-residency compliant.
- Measurable outcomes: less shrink, shorter waits, better on-shelf availability, clearer decisions.
Business Model :
- B2B subscription (SaaS or on-prem licence) priced per store/site (and/or per camera), with tiered plans by features and usage.
- Add-ons for advanced analytics (e.g., forecasting/decisioning), analytics APIs, and premium governance/compliance.
- One-time setup/integration.
- Annual contracts with volume discounts .
Roadmap :
Enhancing ShopAnalytics with short-horizon forecasting and decision support (staffing, planograms, localized promotions). Auto-adaptation of models to store specifics is a key R&D target.
Keywords: retail intelligence, computer vision, loss prevention, shoplifting detection, video analytics, queue analytics, heatmaps, footfall analysis, theft prevention, store optimization, asset protection, in-store analytics, AI in retail, privacy-by-design, real-time alerts, on-premise and cloud, SaaS.