SAI
SAI (Storewide Active Intelligence) provides a patented Visual Language Model platform that converts retailers' existing CCTV cameras into real-time AI agents for loss prevention, store safety, and operations, deployed across 800+ stores in the UK, US, Canada, and EU.
- Company typePrivate
- Founded2018
- HeadquartersLondon, United Kingdom
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What SAI does
SAI (Storewide Active Intelligence) is a UK-headquartered Visual AI company, founded in 2018, that provides a computer vision platform for retailers built around its patented Visual Language Model (VLM). The platform converts existing CCTV infrastructure into AI agents that detect theft, fraud, and safety incidents in real time across self-checkout lanes, aisles, and storefronts — without requiring GPU hardware in typical deployments due to a patented CPU-first processing architecture. Beyond loss prevention, the platform addresses store safety (violence detection, slips/trips/falls), store operations (queue management, stock detection, CCTV health checks), and customer journey analytics (footfall, dwell time, journey statistics). The unified SAI One platform was unveiled at Retail Technology Show 2026, extending the VLM into a conversational AskSAI interface for natural-language retail intelligence.
The business generates revenue through three primary streams: per-store hardware sales (estimated ~£5,000 per store — roughly one-third of competitor cost), recurring SaaS subscriptions priced per store and use case deployed, and partner-delivered professional services for implementation and ongoing optimization. SAI sells primarily through direct enterprise field sales (with 3 of the top 5 UK grocery retailers as customers and deployments at Sainsbury's, Iceland, and Co-op), supported by a three-tier Partner Network for referral, co-delivery, and white-label/resell motions. Operations span the UK, US (New York office), Canada, and the EU, with the platform protecting 20,000+ POS terminals and processing 4M+ transactions daily across 800+ stores.
The customer base is concentrated in grocery retail (primary segment), with secondary verticals including convenience, health and beauty (Rossmann, Shoppers Drug Mart), and apparel. Documented enterprise outcomes cited by the company include £65M+ saved by a single UK grocer in one year, 97% of losses prevented through self-checkout nudges, 50% aisle-theft reduction within four weeks, and 99% production uptime. SAI's competitive positioning rests on its hardware cost advantage, camera-agnostic integration, and a full compliance stack (SOC 2 Type II, ISO 27001, ISO 42001, GDPR) relevant to enterprise retail procurement.
SAI firmographics
Firmographics- Name
- SAI
- Legal name
- SAI Limited
- Website
- https://saigroups.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- SAI (Storewide Active Intelligence) provides a patented Visual Language Model platform that converts retailers' existing CCTV cameras into real-time AI agents for loss prevention, store safety, and operations, deployed across 800+ stores in the UK, US, Canada, and EU.
- Ownership category
- akta.pro rank
SAI industry classification
Industry- Product category
- Retail Computer Vision AI
- NAICS
- Custom Computer Programming Services (541511)
- akta.pro primary industry
- Retail CCTV/Video Review & Evidence Support (LP-focused) (BPAKAJAE)
- akta.pro secondary industries
- Video Analytics & AI Security Solutions Integration (LPR, Facial, Behavior) (BPAKAGAK), Object Detection & Tracking (HDAAAEAB)
Keywords
Where SAI is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices3 records
Markets served
SAI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Platform Subscription: Annual subscription for access to SAI Visual AI Platform. Includes software licensing, maintenance, support, and continuous optimization. Pricing varies by store count and use cases deployed.
- Hardware Sales: Hardware (cameras, servers) sold as upfront cost. Estimated ~£5,000 per standard superstore (cameras + network cabling + installation ~£4,000, server + installation ~£1,000). Competitive advantage: hardware costs approximately one-third of competitors.
- Professional Services: Implementation, deployment, training, and ongoing optimization services. Partner-delivered professional services through Delivery Partner and Strategic Partner tiers.
- Pilot Programs: 8-12 week pilot programs at 1-3 stores recommended before chain-wide deployment. Pilots include full training and support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Unit Pricing | One time/ perpetual license | Standard Superstore Hardware (~£5,000 per store) |
| Subscription | Annual | Software Platform Subscription (Quote-based) |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels7 records
SAI product offering
Product offeringCore offering
SAI provides a Visual AI platform that turns retailers' existing CCTV camera infrastructure into intelligent agents for loss prevention, store safety, operational efficiency, and customer journey analytics. The platform uses a patented Visual Language Model (VLM) and CPU-first architecture to deliver real-time detection of self-checkout theft, aisle shoplifting, internal fraud, violence, slips and falls, queue issues, low stock, and customer behavior, with hardware costs roughly one-third of competing solutions.
Product overview
SAI (Storewide Active Intelligence) is a Visual AI and Generative AI company founded in 2018 that provides a unified retail intelligence platform. The core product is the SAI One platform powered by a patented Visual Language Model (VLM) that transforms existing CCTV infrastructure into active AI systems without requiring hardware upgrades. The platform delivers real-time intelligence across four core areas: Loss Prevention (self-checkout monitoring with 91% nudge compliance, aisle theft, internal fraud, ORC detection), Store Safety (violence detection, slips/trips/falls, fire exit monitoring), Store Operations (queue management, stock detection, CCTV health checks), and Customer Insights (traffic counting, dwell time analytics, journey mapping). Key modules include AskSAI for conversational queries, Facial Redaction for GDPR compliance, Crime Reporting with automated evidence generation, and a mobile alerts app. The platform processes over 4 million transactions daily across thousands of stores in UK, US, Canada, and EU regions, with claims of delivering hardware costs at one-third of competitors and 4-week ROI.
Differentiator
Problem solved
Functional benefit
Brands
- SAI One: A unified store intelligence platform powered by SAI's patented Visual Language Model (VLM)
- SAI Alerts
- Revisit
Products and services
- SAI One Platform
- SAI Alerts Mobile App
Quantifiable outcome
- £65M+ saved in one year through active SCO monitoring
- +8 more outcomes
Companies that use SAI
Customer profileNamed customers10 records
Segments5 records
Ideal customer profiles3 records
SAI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability9 records
Feature8 records
SAI partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core and minor.
- Flagship PRcoreSAI Group selected Flagship PR, specialist comms agency for retail tech businesses, to power UK PR and scale brand awareness supporting growth trajectory.
- NVIDIAcoreNVIDIA Inception Program member. Access to NVIDIA technology and development resources for AI/gPU optimization.
- VMwarecoreVMware Technology Alliance Partner. Provides flexibility for customers deploying real-world AI solutions. Partnership enables customer deployment flexibility.
- LPRC (Loss Prevention Research Council)coreLoss Prevention Research Council partnership for retail loss prevention research and innovation.
- NRF (National Retail Federation)coreNRF association membership. Multiple logos visible: NRF, NRCA-UKPAC. Industry advocacy and standards involvement.
- EY (Ernst & Young)minorProfessional services and consulting partnership for retail transformation engagements.
- KPMGminorProfessional services and consulting partnership for retail analytics and transformation.
- ECR (Efficient Consumer Response) CommunitycoreECR Loss Prevention Top 30 recognition. Community involvement for retail innovation standards.
- MSDUKminorMinority supplier development organization partnership.
- LPF (Loss Prevention Foundation)minorLoss Prevention Foundation partnership for industry education and certification.
Scale indicators12 records
Recent moves5 records
Expansion highlights6 records
SAI competitors and assessment
Company assessmentDirect peers
- Everseen: Everseen provides AI computer vision for retail self-checkout loss prevention and shrink reduction — the closest direct competitor to SAI, serving global grocers with similar SCO monitoring and nudge technology.
- Veesion: Veesion applies AI video analytics to detect suspicious behaviour and theft in retail stores, competing directly with SAI's loss prevention and aisle monitoring use cases across European grocers.
- Trigo: Trigo builds computer-vision platforms for frictionless checkout and in-store retail analytics, overlapping with SAI on retail AI vision and store intelligence for grocery and convenience.
Emerging players
- Standard AI: Standard AI focuses on autonomous retail and AI-powered computer vision for checkout-free stores, sharing the visual-AI-for-retail DNA with SAI but with a stronger emphasis on frictionless checkout experiences.
- DeepNorth: DeepNorth applies computer vision and AI analytics to retail, workplace safety, and customer behaviour — an emerging peer overlapping with SAI on video-based safety, operational, and customer journey use cases.
- Presto Automation: Presto applies AI and computer vision to quick-service restaurants and retail operations, an adjacent visual-AI-for-commerce peer that targets similar operational and labour-efficiency use cases.
Broad incumbents
- Genetec: Genetec provides unified security and video management platforms (Security Center, Omnicast) widely deployed in retail, competing as a broad incumbent offering analytics-adjacent capabilities on top of SAI's integration-friendly architecture.
- Axis Communications: Axis is a global leader in network cameras and video surveillance hardware used in retail stores, an incumbent whose camera infrastructure SAI integrates with — and which increasingly bundles analytics to compete directly.
- Motorola Solutions (Avigilon): Avigilon (now part of Motorola Solutions) offers end-to-end video surveillance and AI analytics for retail and commercial security, an established incumbent whose bundle competes with SAI's software-led approach.
- Cisco (Meraki): Cisco Meraki provides cloud-managed cameras and video analytics with broad enterprise distribution, an incumbent whose MV smart cameras and analytics bundle compete with SAI in retail loss prevention.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
SAI social profiles
Digital presenceSAI compliance and trust
Trust signalCompliance6 records
SAI financial estimates
Financial estimateRevenue estimate
Valuation estimate
SAI leadership team
Management profileNumber of profiles
Profiles12 records
SAI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SAI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SAI
What does SAI do?
SAI provides a Visual AI platform that turns retailers' existing CCTV camera infrastructure into intelligent agents for loss prevention, store safety, operational efficiency, and customer journey analytics. The platform uses a patented Visual Language Model (VLM) and CPU-first architecture to deliver real-time detection of self-checkout theft, aisle shoplifting, internal fraud, violence, slips and falls, queue issues, low stock, and customer behavior, with hardware costs roughly one-third of competing solutions.
Is SAI a public or private company?
SAI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was SAI founded?
SAI was founded in 2018. It employs 101 to 250 people.
Where is SAI based?
SAI is headquartered in London, United Kingdom, in the Europe region.
How does SAI make money?
Four revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are hardware Sales, professional Services and pilot Programs.
Who are SAI's main competitors?
Direct peers on record are Everseen, Veesion and Trigo. Emerging players are Standard AI, DeepNorth and Presto Automation. Broad incumbents are Genetec, Axis Communications, Motorola Solutions (Avigilon) and Cisco (Meraki).
Does SAI have an API?
No public API is recorded for SAI.
What industry is SAI in?
SAI's product category is Retail Computer Vision AI. Its primary akta.pro industry code is BPAKAJAE, Retail CCTV/Video Review & Evidence Support (LP-focused), with a secondary code of BPAKAGAK, Video Analytics & AI Security Solutions Integration (LPR, Facial, Behavior). Its NAICS code is 541511.