InStore.ai

What InStore.ai does

InStore.ai is a Los Gatos-based SaaS company founded in 2022 that deploys compact edge devices at the point of sale to capture and analyze cashier-customer voice conversations, transforming them into structured frontline intelligence for convenience store operators, fuel retailers, and consumer packaged goods brands. The core Dynamic Insights Platform identifies business-relevant moments such as loyalty program mentions, sign-up prompts, pricing discrepancies, equipment complaints, and compliance gaps, then routes outputs through three integrated modules: Ask InStore (natural language search), Pulse Reports (automated weekly trend analysis), and Alerts (real-time operational notifications). The product is positioned as lightweight to deploy, requiring no complex POS integrations, with secure encrypted audio capture and edge-to-cloud infrastructure.

The company monetizes through quote-based enterprise SaaS subscriptions priced per location, with go-to-market executed via direct enterprise sales, event-driven demand generation at NACS trade shows, and channel partnerships including a SAASOA agreement covering 5,200+ independent member stores beginning February 2026 and a strategic technology partnership with Acumera. The customer base spans mid-market chains (Domino C-Stores, Mach 1), larger enterprise operators (Atlantis Management Group, undisclosed regional chain at 100+ locations), and SMB independents (FavTrip, Cubby's, Minits, MYS Energy), with documented outcomes including loyalty signup acceleration, out-of-stock reduction, and compliance improvement.

In 2024 the company closed a $5 million seed round from industry insiders and assembled a leadership team with deep voice-analytics and retail technology backgrounds, including CEO Jay Blazensky, COO Marc Della Torre, CPO Emily Nave, CTO Adrien Vinches, and CCO Kevin Farley. As of early 2026 the platform has processed over 33 million conversations and the company is expanding into the CPG brand buyer segment and contributing to in-store media measurement standards through the Shopper Purchase Rate framework with In-Store Marketplace.

Name

InStore.ai

Legal name

InStore.ai, Inc.

Website

https://instore.ai

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

11–50 employees

Short description

InStore.ai provides AI-powered voice analytics for convenience stores and fuel retailers, capturing cashier-customer conversations at the point of sale and converting them into frontline coaching, compliance alerts, and operational insights for operators and CPG brands.

Ownership category

akta.pro rank

Product category

Retail Voice Analytics Software

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Contact Center Speech AI (agent assist, IVR automation) (HDAAAFAL)

akta.pro secondary industries

AI & Automation in Customer Service (Chatbots, Agent Assist) (EDABACAO), Marketing Automation Platforms & Services (BPAFAFAC), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

Keywords

• Retail voice analytics
• In-store AI platform
• Frontline intelligence
• Convenience store AI
• Shopper behavior analytics

Headquarters

HQ city

Los Gatos

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Platform Subscription: Software-as-a-service platform provided on subscription basis. Clients access the Provider Platform through user accounts. Pricing based on number of locations or stores deployed.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels6 records

Core offering

InStore.ai sells an AI-powered voice analytics platform that listens to in-store conversations between frontline staff and shoppers, then turns those interactions into operational, behavioral, and merchandising insights for retailers and consumer goods brands. The platform is delivered as software (with the Dynamic Insights Platform version launched in August 2024) and includes an Ask InStore query assistant, Pulse Reports, and Alerts, designed for convenience-store and fuel-retail operators that want frontline intelligence without integrating to their point-of-sale systems.

Product overview

InStore.ai offers a unified platform-plus-modules architecture for AI-powered voice insights in retail environments. The core How It Works platform captures cashier-customer conversations at point of sale and transforms them into actionable intelligence. This platform is enhanced by four integrated modules: Ask InStore (natural language search for real-time queries), Pulse Reports (automated weekly trend analysis and coaching moments), and Alerts (proactive notifications for operational issues). Together, these products enable retailers and brands to measure and improve in-person customer experiences without complex POS integrations.

Differentiator

Problem solved

Functional benefit

Products and services

• InStore.ai Voice Analytics Platform Core AI-powered voice analytics platform that passively captures and analyzes in-store conversations between frontline staff and shoppers at the point of sale, delivering operational, merchandising, and shopper-behavior insights to multi-site retail operators (convenience stores and fuel retailers) and CPG brands without requiring POS integration.
• Ask InStore Natural-language query assistant that lets retail operators and CPG users ask plain-English questions of the InStore.ai platform and retrieve answers drawn from frontline conversation analytics, intended for category managers, operations leaders, and shopper-insight teams.
• Shopper Purchase Rate Framework Analytical framework built on top of the InStore.ai platform that quantifies shopper purchase intent and conversion from frontline conversation data, sold as part of the platform's analytics offering to CPG brands and retail operators.

Quantifiable outcome

• 3x monthly loyalty signups
• +5 more outcomes

Named customers11 records

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature6 records

Partnerships

Three partnerships are on record, tiered strategic and core.

• In-Store Marketplace (ISM) / Catalyst Media ConsultingstrategicStrategic or Co-development Partner · 7 April 2026Partnership with In-Store Marketplace and Catalyst Media Consulting for research on in-store media measurement. ISM released research report introducing the Shopper Purchase Rate (SPR) measurement framework, with InStore.ai participating as a contributing partner to establish industry standards for physical retail media evaluation.
• SAASOA (Strategic Alliance for Affiliated Store Owners of America)coreChannel Partner/ Reseller/ Distributor · 10 February 2026Commercial agreement to deploy InStore.ai across SAASOA's 5,200+ member convenience stores beginning February 2026. Partnership enables independent operators to access AI-powered voice insights through the association. Focuses on improving operational efficiency, cashier engagement, and customer experience through loyalty enrollment, upselling, and promotion tracking at the counter.
• AcumerastrategicTechnology or Integration · 21 August 2024Strategic partnership with Acumera, a leading provider of SaaS solutions for edge computing, network operations, visualization, and security. Partnership aims to elevate retail technology solutions through integration of InStore.ai's voice analytics with Acumera's edge infrastructure capabilities.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• Relex Solutions: Provider of retail planning and execution software for c-stores and grocery; comparable to InStore.ai as a retail-tech platform serving convenience and fuel retailers, though focused on forecasting and replenishment rather than voice analytics.
• Ubisense: Provides location analytics and operational intelligence for retail and industrial environments; comparable as a real-time in-store analytics vendor using sensors to surface operational insights.
• Placer.ai: Location intelligence platform providing foot-traffic and consumer behavior analytics for retailers and brands; comparable as a data-driven insights platform serving retailers and CPG brands with in-store performance signals, though using passive location data rather than voice.

Direct peers

• Standard AI: Computer-vision platform that captures in-store shopper behavior and analyzes checkout experiences for retailers; directly comparable as an in-store analytics platform using edge AI sensors to surface operational insights for retailers and brands.

Broad incumbents

• Observe.AI: Conversation intelligence platform that analyzes customer-agent calls for insights and coaching; comparable technology stack and use case (frontline conversation analytics, AI-driven coaching), though primarily in contact centers rather than physical retail.
• Cresta: Conversational AI platform offering real-time agent assist and conversation analytics; comparable in core technology (speech AI for frontline conversations) and in transitioning from contact center into retail/hospitality use cases.
• Verint Systems: Enterprise customer engagement analytics vendor with deep speech analytics capabilities; comparable as an incumbent speech-AI platform that could extend from contact centers into retail voice analytics.
• NICE Ltd. Enterprise contact center analytics leader with mature speech analytics and agent-assist products; comparable as a provider of voice/speech AI for frontline interactions, though primarily serving contact centers rather than physical retail.

Others

• Traliant: Compliance and employee training vendor with a presence in retail and c-store verticals; adjacent because it addresses some of the same frontline training and compliance use cases InStore.ai enables through voice analytics.

Regional players

• CBS NorthStar / ParTech: POS and back-office technology provider for the c-store and fuel retail industry; comparable in serving the same primary buyer (convenience and fuel retailers) with operational technology, though focused on POS rather than voice analytics.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/instoreai
• Xx.com/instoreai

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about InStore.ai