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Engine

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uuid0006wxg

Namestring
Engine
Legal namestring
Engine Data Science, LLC
Websiteurl
engine.net
Company typeenum
Private
Founded yearstring
-
Descriptiontext

Engine (legal entity Engine Data Science, LLC, headquartered in Rogers, Arkansas) is a private, PE-backed SaaS provider of an omnichannel retail intelligence platform purpose-built for consumer packaged goods (CPG) companies and their retail partners. Following its April 2026 strategic merger with Nuqleous, the combined entity operates under the Engine brand and serves 200+ CPG customers with a unified platform-plus-modules architecture built on Databricks and Microsoft Azure. The platform connects disparate data sources — point-of-sale, ERP, CRM, retailer data (Walmart, Target, Amazon, Kroger), and syndicated providers (Nielsen, Circana, Planat) — into a single Intelligent Data Platform, with an Insights Engine layer for reporting and dashboarding, and specialized modules including AI-driven Forecasting (reinforcement learning), Assortment & Clustering (space-aware ML optimization), A/B Experimentation, Planogram Automation, Media Measurement (via the acquired Lift Bridge brand), and an Auto Insights Engine that performs always-on anomaly detection and root-cause analysis. The company's AI suite also includes Retail Chat (conversational natural-language querying) and Deep Research (multi-step AI agent), and the company holds Walmart Luminate API Certified Partner and Target Approved Data Provider statuses.

Engine monetizes through subscription-based SaaS contracts supplemented by professional services for implementation, training, and consulting. Pricing is quote-based, customized per brand on multi-year contracts, with billing tied to scope of data needs, number of accounts, and reporting requirements. Distribution is direct enterprise field sales targeting category management, sales, supply chain, and executive teams within CPG organizations, supplemented by content marketing, industry events (Analytics Unite, CMA Annual Conference), and partner referrals from Databricks, Microsoft, Walmart, and Nielsen. The company operates primarily in the United States, is majority-owned by Rubicon Technology Partners (a middle-market PE firm with $4B+ AUM), and is led by co-founder and CEO Nick Dozier, co-founder and COO Pat Lockridge, and CTO Chris Oswald (joined January 2026).

Short descriptiontext

Engine is a PE-backed SaaS company providing an AI-powered omnichannel retail intelligence platform for CPG companies and retailers, integrating retailer data, analytics, forecasting, assortment optimization, planogram automation, and agentic AI on a Databricks-built platform serving 200+ enterprise customers.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersRogers, United States
HQ citystring
Rogers
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
retail analytics platform, CPG data science, planogram automation, assortment optimization, demand forecasting
Industry3 codes
1Real-Time Decisioning & Next-Best-Action Engines
CodeHDAAAHAKPrimaryYes
2End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryNo
3AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryNo
NAICS code3 codes
  • Software Publishers5132
  • Computer Systems Design and Related Services54151
  • Custom Computer Programming Services541511
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Computer Integrated Systems Design7373
Product category
Retail Analytics Software
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model3 records
1SaaS Subscription
TypeSubscription Recurring
Description

The company operates as a SaaS platform with subscription-based pricing. Engine grants customers a non-exclusive, non-transferable license to access the Engine Solution during the subscription term, as described in Order Forms.

engine.net
2Professional Services
TypeProfessional Services
Description

Professional services provided by Engine to customers as described in Order Forms or Statements of Work, including implementation, training, and consulting services.

engine.net
3Amazon Analytics Services
TypeSubscription Recurring
Description

Custom analytics services for Amazon sellers priced based on scope of data needs, number of Amazon accounts, and reporting requirements. Quote-based pricing model.

engine.net
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Pricing details1 tier
1Custom enterprise pricing based on scope and requirements
ModelSubscriptionBilling cadenceMulti-year contract
Notes

Engine's services are priced based on the scope of data needs, number of Amazon accounts, and reporting requirements. They work with each brand directly to build the right solution.

engine.net
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 3 records shown
1Lift Bridge
Description

Expert-driven, consultative media measurement solution that provides bespoke analytics and advisory services for marketing campaigns.

engine.net
+2 more records
Core offering1 text field

Engine is a SaaS platform that provides unified omni analytics and data science for CPG (Consumer Packaged Goods) companies and retailers. The platform combines data integration, AI-driven analytics, forecasting, assortment optimization, A/B experimentation, planogram automation, and media measurement on a single Intelligent Data Platform (IDP) built natively on Databricks. The offering is targeted at brands and their agencies seeking to consolidate fragmented retail data sources (Walmart, Target, Kroger, Amazon, NielsenIQ, Circana) into actionable, AI-enabled execution.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • $52M in annual markdown losses identified across hundreds of stores using Engine's shelf optimization
+4 more records
Product overview1 text field

Engine is a unified omnichannel retail intelligence platform for CPG and retail companies, operating as a platform-plus-modules architecture built on the Intelligent Data Platform (IDP). The core IDP provides cloud-based data integration, warehousing, and visualization across POS, ERP, CRM, syndicated, and third-party data sources, built on Databricks. The Insights Engine layer delivers reporting, dashboarding, and BI tools. On top of this foundation sit specialized product modules: Forecasting (AI-driven demand prediction using reinforcement learning), Assortment & Clustering (space-aware store-level assortment optimization), A/B Experimentation (automated test design and analysis), Planogram Automation (shelf planning and execution at scale), Media Measurement (Lift Bridge consultative service), and the Auto Insights Engine (always-on AI analyst). Following the April 2026 merger with Nuqleous, the platform also incorporates Nuqleous products including ShelfIQ, Shelf Analytics, and PlanoFX for category management and space planning. Engine's AI suite includes Retail Chat (natural language data querying), Deep Research (multi-step AI agent), and Auto Insights (proactive anomaly detection and root cause analysis). The platform connects to major retailers including Walmart, Target, Amazon, and Kroger, and integrates syndicated data from providers such as Nielsen, Circana, and Planat.

Product and service10 records
1Intelligent Data Platform (IDP)
CategoryData Integration Platform
Description

Cloud-native, platform-plus-modules architecture built on Databricks that consolidates retailer data integration, ETL, master data management, syndicated data, and downstream analytics for CPG brands.

2Forecasting
CategoryPredictive Analytics
Description

AI-driven demand and sales forecasting leveraging reinforcement learning, machine learning, and rule-based methods to deliver granular, customer-level predictions for CPG brands.

3Assortment & Clustering
CategoryCategory Management
Description

Space-aware assortment optimization, clustering, and macro space planning tools that combine AI/ML with category expertise to identify product, pack, and fixture opportunities.

4A/B Experimentation
CategoryExperimentation Platform
Description

Self-serve A/B and multivariate testing platform that enables CPG teams to design, execute, and measure in-store and digital experiments with statistical rigor.

5Planogram Automation
CategoryRetail Execution
Description

Automated planogram creation, validation, and reset workflows combining PlanoFX and Shelf IQ capabilities to compress planogram cycles and improve in-store execution.

6Media Measurement (Lift Bridge)
CategoryMarketing Analytics
Description

Expert-driven, consultative media measurement service that provides bespoke analytics, campaign impact evaluation, and ROAS optimization for paid media investments.

7Auto Insights Engine
CategoryAI Analytics
Description

Always-on AI analyst that proactively detects, diagnoses, and narrates retail anomalies and performance changes across categories, customers, and KPIs.

8Engine for Amazon Sellers
CategoryMarketplace Analytics
Description

Tailored analytics and insights package for Amazon vendors and sellers that transforms raw Amazon data into actionable brand and category intelligence.

9ShelfIQ
CategoryPlanogram Intelligence
Description

Sub-brand within the Engine platform focused on planogram intelligence, store-level compliance, and shelf-image-based retail execution.

10Shelf Analytics
CategoryShelf Image Analytics
Description

Sub-brand within Engine providing retail execution analytics through structured photo recognition and store-level data derived from shelf imagery.

Scale indicator6 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-04-02
Description

Merger completed April 2, 2026 combining Engine's data science and AI capabilities with Nuqleous' category management tools including ShelfIQ and Shelf Analytics. Creates unified omnichannel retail intelligence platform.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2024-08-27
Description

Engine is built on Databricks as part of their Built-on Partner Program. The platform scales any customer, securely shares data, and provides robust data governance in a single platform. Available on Databricks Marketplace.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-02-08
Description

Acquired by Engine to extend solution into the marketing measurement space. Perfect fit for Lift Bridge's expert-driven, consultative media measurement capabilities.

Strategic tierStrategicTypeTechnology or Integration
Description

Collaboration with Microsoft enables seamless integration with Azure services, empowering customers with scalable and efficient cloud solutions. Engine leverages Microsoft cloud infrastructure for platform deployment.

Strategic tierStrategicTypeTechnology or Integration
Description

Engine is a Walmart Luminate API Certified Partner. Partnership creates opportunity to demonstrate data science expertise and fanatical support for the supplier community. Connected partner for data integration.

Strategic tierStrategicTypeTechnology or Integration
Description

Engine is an Approved Data Provider with extensive experience serving Target Suppliers with data integration to Greenfield and Partners Online systems.

Strategic tierStrategicTypeTechnology or Integration
Description

Engine has extensive experience working with Kroger Market 6 and 84.51° Stratum data, integrating across Snowflake and Databricks platforms.

Strategic tierMinorTypeOthers
Description

Pre-eminent M&A advisory firm for the global technology, software, media, and business services industries. Represented Engine in the Nuqleous merger transaction.

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Global leader in syndicated retail measurement and consumer intelligence for CPG manufacturers and retailers. NielsenIQ overlaps directly with Engine on CPG data, analytics, and category management, and Engine already integrates Nielsen data as a connected partner.

TypeDirect peer
Description

Customer data science and category management specialist serving global CPG brands and retailers (notably Tesco). Comparable to Engine in offering CPG-tailored analytics, assortment, and shopper insights, but with a consulting-heavy delivery model.

TypeDirect peer
Description

Provider of unified retail planning solutions including demand forecasting, assortment, and space optimization for grocers and CPG manufacturers. Overlaps directly with Engine's forecasting, assortment & clustering, and planogram automation modules.

TypeEmerging player
Description

Consumer purchase intelligence and media measurement provider for brands and agencies, overlapping with Engine's Lift Bridge media-measurement capability. Comparable in combining transactional data with marketing analytics for CPG clients.

TypeDirect peer
Description

AI-powered integrated business planning platform serving CPG, retail, and manufacturing clients with demand sensing, forecasting, and supply chain planning. Comparable to Engine on forecasting and AI-driven decisioning, with broader supply chain scope.

TypeBroad incumbent
Description

Dominant horizontal CRM/BI incumbents increasingly embedding AI-driven analytics, including for CPG. Engine's vertical specialization and retailer integrations differentiate it, but Tableau and Salesforce compete for the analytics budget allocated within CPG organizations.

TypeEmerging player
Description

Kroger-owned data analytics and insights company providing CPG suppliers with Kroger-specific retail intelligence via its Stratum platform. Engine integrates 84.51° Stratum data; 84.51° is both a data partner and a partial competitor in Kroger supplier analytics.

TypeDirect peer
Description

Enterprise AI platform provider with a dedicated retail/CPG division offering demand forecasting, assortment, and shelf analytics. Competes with Engine in AI-driven CPG decisioning, with broader vertical breadth but less CPG specialization.

TypeDirect peer
Description

Formed from the IRI-NielsenIQ CPG spin-out, Circana is the dominant syndicated CPG measurement and analytics provider. Engine competes directly against Circana in CPG retail intelligence, assortment, and point-of-sale analytics, with Engine positioning as the more AI-forward, platform-native alternative.

TypeBroad incumbent
Description

Enterprise data platform with growing presence in retail/CPG and consumer goods vertical (Foundry and AIP). Competes for the same enterprise data and AI budget as Engine, though typically at much larger deal sizes and broader scope.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers6 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment6 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile6 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration8 records

Each record includes

Title, Type, Description, Source

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature10 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles12 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A3 records

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

Engine

Retail Analytics Softwareengine.net

Engine is a PE-backed SaaS company providing an AI-powered omnichannel retail intelligence platform for CPG companies and retailers, integrating retailer data, analytics, forecasting, assortment optimization, planogram automation, and agentic AI on a Databricks-built platform serving 200+ enterprise customers.

What Engine does

Engine (legal entity Engine Data Science, LLC, headquartered in Rogers, Arkansas) is a private, PE-backed SaaS provider of an omnichannel retail intelligence platform purpose-built for consumer packaged goods (CPG) companies and their retail partners. Following its April 2026 strategic merger with Nuqleous, the combined entity operates under the Engine brand and serves 200+ CPG customers with a unified platform-plus-modules architecture built on Databricks and Microsoft Azure. The platform connects disparate data sources — point-of-sale, ERP, CRM, retailer data (Walmart, Target, Amazon, Kroger), and syndicated providers (Nielsen, Circana, Planat) — into a single Intelligent Data Platform, with an Insights Engine layer for reporting and dashboarding, and specialized modules including AI-driven Forecasting (reinforcement learning), Assortment & Clustering (space-aware ML optimization), A/B Experimentation, Planogram Automation, Media Measurement (via the acquired Lift Bridge brand), and an Auto Insights Engine that performs always-on anomaly detection and root-cause analysis. The company's AI suite also includes Retail Chat (conversational natural-language querying) and Deep Research (multi-step AI agent), and the company holds Walmart Luminate API Certified Partner and Target Approved Data Provider statuses.

Engine monetizes through subscription-based SaaS contracts supplemented by professional services for implementation, training, and consulting. Pricing is quote-based, customized per brand on multi-year contracts, with billing tied to scope of data needs, number of accounts, and reporting requirements. Distribution is direct enterprise field sales targeting category management, sales, supply chain, and executive teams within CPG organizations, supplemented by content marketing, industry events (Analytics Unite, CMA Annual Conference), and partner referrals from Databricks, Microsoft, Walmart, and Nielsen. The company operates primarily in the United States, is majority-owned by Rubicon Technology Partners (a middle-market PE firm with $4B+ AUM), and is led by co-founder and CEO Nick Dozier, co-founder and COO Pat Lockridge, and CTO Chris Oswald (joined January 2026).

Engine firmographics

Firmographics
Name
Engine
Legal name
Engine Data Science, LLC
Website
https://engine.net
Company type
Private
Operating status
Operating
Headcount range
101–250 employees
Short description
Engine is a PE-backed SaaS company providing an AI-powered omnichannel retail intelligence platform for CPG companies and retailers, integrating retailer data, analytics, forecasting, assortment optimization, planogram automation, and agentic AI on a Databricks-built platform serving 200+ enterprise customers.
Ownership category
akta.pro rank

Engine industry classification

Industry
Product category
Retail Analytics Software
NAICS
Software Publishers (5132), Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)
SIC
Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
Real-Time Decisioning & Next-Best-Action Engines (HDAAAHAK)
akta.pro secondary industries
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

  • Retail analytics platform
  • CPG data science
  • Planogram automation
  • Assortment optimization
  • Demand forecasting

Where Engine is headquartered

Location

Headquarters

HQ city
Rogers
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Engine business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

  1. SaaS Subscription: The company operates as a SaaS platform with subscription-based pricing. Engine grants customers a non-exclusive, non-transferable license to access the Engine Solution during the subscription term, as described in Order Forms.
  2. Professional Services: Professional services provided by Engine to customers as described in Order Forms or Statements of Work, including implementation, training, and consulting services.
  3. Amazon Analytics Services: Custom analytics services for Amazon sellers priced based on scope of data needs, number of Amazon accounts, and reporting requirements. Quote-based pricing model.

Pricing tiers

ModelBillingPrice
SubscriptionMulti-year contractCustom enterprise pricing based on scope and requirements

Go-to-market motion2 records

Distribution channels2 records

Marketing channels6 records

Engine product offering

Product offering

Core offering

Engine is a SaaS platform that provides unified omni analytics and data science for CPG (Consumer Packaged Goods) companies and retailers. The platform combines data integration, AI-driven analytics, forecasting, assortment optimization, A/B experimentation, planogram automation, and media measurement on a single Intelligent Data Platform (IDP) built natively on Databricks. The offering is targeted at brands and their agencies seeking to consolidate fragmented retail data sources (Walmart, Target, Kroger, Amazon, NielsenIQ, Circana) into actionable, AI-enabled execution.

Product overview

Engine is a unified omnichannel retail intelligence platform for CPG and retail companies, operating as a platform-plus-modules architecture built on the Intelligent Data Platform (IDP). The core IDP provides cloud-based data integration, warehousing, and visualization across POS, ERP, CRM, syndicated, and third-party data sources, built on Databricks. The Insights Engine layer delivers reporting, dashboarding, and BI tools. On top of this foundation sit specialized product modules: Forecasting (AI-driven demand prediction using reinforcement learning), Assortment & Clustering (space-aware store-level assortment optimization), A/B Experimentation (automated test design and analysis), Planogram Automation (shelf planning and execution at scale), Media Measurement (Lift Bridge consultative service), and the Auto Insights Engine (always-on AI analyst). Following the April 2026 merger with Nuqleous, the platform also incorporates Nuqleous products including ShelfIQ, Shelf Analytics, and PlanoFX for category management and space planning. Engine's AI suite includes Retail Chat (natural language data querying), Deep Research (multi-step AI agent), and Auto Insights (proactive anomaly detection and root cause analysis). The platform connects to major retailers including Walmart, Target, Amazon, and Kroger, and integrates syndicated data from providers such as Nielsen, Circana, and Planat.

Differentiator

Problem solved

Functional benefit

Brands

  • Lift Bridge: Expert-driven, consultative media measurement solution that provides bespoke analytics and advisory services for marketing campaigns.
  • Shelf IQ
  • Shelf Analytics

Products and services

  • Intelligent Data Platform (IDP) Cloud-native, platform-plus-modules architecture built on Databricks that consolidates retailer data integration, ETL, master data management, syndicated data, and downstream analytics for CPG brands.
  • Forecasting AI-driven demand and sales forecasting leveraging reinforcement learning, machine learning, and rule-based methods to deliver granular, customer-level predictions for CPG brands.
  • Assortment & Clustering Space-aware assortment optimization, clustering, and macro space planning tools that combine AI/ML with category expertise to identify product, pack, and fixture opportunities.
  • A/B Experimentation Self-serve A/B and multivariate testing platform that enables CPG teams to design, execute, and measure in-store and digital experiments with statistical rigor.
  • Planogram Automation Automated planogram creation, validation, and reset workflows combining PlanoFX and Shelf IQ capabilities to compress planogram cycles and improve in-store execution.
  • Media Measurement (Lift Bridge) Expert-driven, consultative media measurement service that provides bespoke analytics, campaign impact evaluation, and ROAS optimization for paid media investments.
  • Auto Insights Engine Always-on AI analyst that proactively detects, diagnoses, and narrates retail anomalies and performance changes across categories, customers, and KPIs.
  • Engine for Amazon Sellers Tailored analytics and insights package for Amazon vendors and sellers that transforms raw Amazon data into actionable brand and category intelligence.
  • ShelfIQ Sub-brand within the Engine platform focused on planogram intelligence, store-level compliance, and shelf-image-based retail execution.
  • Shelf Analytics Sub-brand within Engine providing retail execution analytics through structured photo recognition and store-level data derived from shelf imagery.

Quantifiable outcome

  • $52M in annual markdown losses identified across hundreds of stores using Engine's shelf optimization
  • +4 more outcomes

Companies that use Engine

Customer profile

Named customers6 records

Segments6 records

Ideal customer profiles6 records

Engine technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability11 records

Feature10 records

Engine partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered core, strategic and minor.

  • NuqleouscoreStrategic or Co-development Partner · 2 April 2026Merger completed April 2, 2026 combining Engine's data science and AI capabilities with Nuqleous' category management tools including ShelfIQ and Shelf Analytics. Creates unified omnichannel retail intelligence platform.
  • DatabrickscoreTechnology or Integration · 27 August 2024Engine is built on Databricks as part of their Built-on Partner Program. The platform scales any customer, securely shares data, and provides robust data governance in a single platform. Available on Databricks Marketplace.
  • Lift Bridge ConsultingcoreStrategic or Co-development Partner · 8 February 2024Acquired by Engine to extend solution into the marketing measurement space. Perfect fit for Lift Bridge's expert-driven, consultative media measurement capabilities.
  • MicrosoftstrategicTechnology or IntegrationCollaboration with Microsoft enables seamless integration with Azure services, empowering customers with scalable and efficient cloud solutions. Engine leverages Microsoft cloud infrastructure for platform deployment.
  • WalmartstrategicTechnology or IntegrationEngine is a Walmart Luminate API Certified Partner. Partnership creates opportunity to demonstrate data science expertise and fanatical support for the supplier community. Connected partner for data integration.
  • TargetstrategicTechnology or IntegrationEngine is an Approved Data Provider with extensive experience serving Target Suppliers with data integration to Greenfield and Partners Online systems.
  • 84.51° / KrogerstrategicTechnology or IntegrationEngine has extensive experience working with Kroger Market 6 and 84.51° Stratum data, integrating across Snowflake and Databricks platforms.
  • JEGI LEONISminorOthersPre-eminent M&A advisory firm for the global technology, software, media, and business services industries. Represented Engine in the Nuqleous merger transaction.

Scale indicators6 records

Recent moves7 records

Expansion highlights6 records

Engine competitors and assessment

Company assessment

Direct peers

  • NielsenIQ: Global leader in syndicated retail measurement and consumer intelligence for CPG manufacturers and retailers. NielsenIQ overlaps directly with Engine on CPG data, analytics, and category management, and Engine already integrates Nielsen data as a connected partner.
  • dunnhumby: Customer data science and category management specialist serving global CPG brands and retailers (notably Tesco). Comparable to Engine in offering CPG-tailored analytics, assortment, and shopper insights, but with a consulting-heavy delivery model.
  • RELEX Solutions: Provider of unified retail planning solutions including demand forecasting, assortment, and space optimization for grocers and CPG manufacturers. Overlaps directly with Engine's forecasting, assortment & clustering, and planogram automation modules.
  • o9 Solutions: AI-powered integrated business planning platform serving CPG, retail, and manufacturing clients with demand sensing, forecasting, and supply chain planning. Comparable to Engine on forecasting and AI-driven decisioning, with broader supply chain scope.
  • SymphonyAI: Enterprise AI platform provider with a dedicated retail/CPG division offering demand forecasting, assortment, and shelf analytics. Competes with Engine in AI-driven CPG decisioning, with broader vertical breadth but less CPG specialization.
  • Circana: Formed from the IRI-NielsenIQ CPG spin-out, Circana is the dominant syndicated CPG measurement and analytics provider. Engine competes directly against Circana in CPG retail intelligence, assortment, and point-of-sale analytics, with Engine positioning as the more AI-forward, platform-native alternative.

Emerging players

  • Affinity Solutions: Consumer purchase intelligence and media measurement provider for brands and agencies, overlapping with Engine's Lift Bridge media-measurement capability. Comparable in combining transactional data with marketing analytics for CPG clients.
  • 84.51°: Kroger-owned data analytics and insights company providing CPG suppliers with Kroger-specific retail intelligence via its Stratum platform. Engine integrates 84.51° Stratum data; 84.51° is both a data partner and a partial competitor in Kroger supplier analytics.

Broad incumbents

  • Salesforce / Tableau: Dominant horizontal CRM/BI incumbents increasingly embedding AI-driven analytics, including for CPG. Engine's vertical specialization and retailer integrations differentiate it, but Tableau and Salesforce compete for the analytics budget allocated within CPG organizations.
  • Palantir: Enterprise data platform with growing presence in retail/CPG and consumer goods vertical (Foundry and AIP). Competes for the same enterprise data and AI budget as Engine, though typically at much larger deal sizes and broader scope.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights6 records

Customer concentration

Engine social profiles

Digital presence

Engine financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Engine leadership team

Management profile

Number of profiles

Profiles12 records

Engine subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Engine funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

Engine M&A and investment

M&A and investment

M&A3 records

Investments

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

Frequently asked questions about Engine

What does Engine do?

Engine is a SaaS platform that provides unified omni analytics and data science for CPG (Consumer Packaged Goods) companies and retailers. The platform combines data integration, AI-driven analytics, forecasting, assortment optimization, A/B experimentation, planogram automation, and media measurement on a single Intelligent Data Platform (IDP) built natively on Databricks. The offering is targeted at brands and their agencies seeking to consolidate fragmented retail data sources (Walmart, Target, Kroger, Amazon, NielsenIQ, Circana) into actionable, AI-enabled execution.

Is Engine a public or private company?

Engine is a private company. It is classified as private equity controlled and is currently operating.

When was Engine founded?

Engine was founded in -1. It employs 101 to 250 people.

Where is Engine based?

Engine is headquartered in Rogers, United States, in the North America region.

How does Engine make money?

Three revenue lines are on record. SaaS Subscription is the primary driver. The others are professional Services and amazon Analytics Services.

Who are Engine's main competitors?

Direct peers on record are NielsenIQ, dunnhumby, RELEX Solutions, o9 Solutions, SymphonyAI and Circana. Emerging players are Affinity Solutions and 84.51°. Broad incumbents are Salesforce / Tableau and Palantir.

Does Engine have an API?

No public API is recorded for Engine.

What industry is Engine in?

Engine's product category is Retail Analytics Software. Its primary akta.pro industry code is HDAAAHAK, Real-Time Decisioning & Next-Best-Action Engines, with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 5132 and its SIC code is 7372.

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ArkansasbusinessEngine and Nuqleous Merge to Create One-Stop Platform for CPG BrandsEngine and Nuqleous, two retail tech startups from northwest Arkansas, merged last month to form a unified platform serving consumer packaged goods (CPG) brands. The combined company, now operating under Engine’s name, aims to unify data analytics, space planning, and e-commerce solutions under one platform, and is investing in AI capabilities.YahooEngine Data Science Wins Consumer Goods Technology Data Leadership AwardEngine Data Science's SVP of Data Science, Daniel Palmer, was named a 2026 Data Leadership Award winner by Consumer Goods Technology (CGT) at the Analytics Unite conference, recognizing leaders delivering transformative results through data-driven strategies in the consumer goods and retail industry. The award highlights Engine's AI suite, which includes Retail Chat, Deep Research, and Auto Insights capabilities designed to help CPG brands and retailers move from fragmented data to strategic decisions. This CGT recognition follows Engine's Innovation of the Year Award from the Category Management Association and its recent merger with Nuqleous.ArkansasbusinessTwo Northwest Arkansas Tech Startups Complete MergerTech startups Engine of Rogers and Nuqleous of Bentonville completed a merger last week, combining under the Engine brand with Engine CEO Nick Dozier leading the new entity. The combined company now serves more than 200 customers with a unified platform spanning data integration, analytics, AI-driven insights and planogram automation for CPG companies. Middle-market private equity firm Rubicon Technology Partners, which acquired a majority stake in Nuqleous in July 2025, remains the majority investor in the merged company.Pulse 2.0Engine And Nuqleous Merge To Create Omnichannel Retail Intelligence Platform For CPGsEngine, a CPG analytics and data science provider, and Nuqleous, a space planning and category management solutions company, have completed a strategic merger to form a unified omnichannel retail intelligence platform under the Engine brand, serving more than 200 customers. The combined platform integrates Engine's data science and AI capabilities with Nuqleous's category management tools—including Shelf IQ and Shelf Analytics—to replace fragmented point solutions with a single system spanning from data ingestion to shelf-level execution. The merger, backed by majority investor Rubicon Technology Partners with Nick Dozier as CEO, positions the company to compete as a full-stack retail intelligence platform for CPG companies navigating competitive retail environments.PR NewswireEngine and Nuqleous Complete Strategic Merger: Creating an End-to-End Omnichannel Retail Intelligence Platform for CPGsEngine, a CPG analytics and data science provider, and Nuqleous, a space planning and category management solutions provider, have completed their strategic merger effective April 2, 2026, with the combined entity operating under the Engine brand. The merger creates a unified omnichannel retail intelligence platform serving 200+ CPG customers, integrating Engine's ETL, reporting, data science, and AI solutions with Nuqleous' content and category management tools including Shelf IQ and Shelf Analytics. The combined company, with Rubicon Technology Partners remaining as majority investor, will accelerate investment in Agentic AI capabilities including assortment optimization, planogram automation, and a conversational AI interface for CPG teams.The Globe and MailEngine and Nuqleous Complete Strategic Merger: Creating an End-to-End Omnichannel Retail Intelligence Platform for CPGsEngine, a CPG analytics and data science provider, and Nuqleous, a provider of space planning and category management solutions for consumer-packaged goods and retail brands, have completed their strategic merger, with the combined entity operating under the Engine brand.NewswireEngine and Nuqleous Complete Strategic Merger: Creating an End-to-End Omnichannel Retail Intelligence Platform for CPGsEngine, a CPG analytics and data science provider, and Nuqleous, a provider of space planning and category management solutions for CPG and retail brands, announced the completion of their merger on April 2, 2026. The combined company, operating under the Engine brand, will serve over 200 customers with a unified platform spanning data integration, analytics, AI-driven insights, and planogram automation, consolidating capabilities that previously required CPG companies to use multiple point solutions. The merger accelerates investment in Agentic AI and next-generation retail intelligence features including AI-driven assortment optimization, planogram automation at scale, and conversational AI interfaces.PR NewswireEngine Data Science, LLC Hires Chris Oswald as Chief Technology Officer to Advance Global Platforms and Drive InnovationEngine Data Science, LLC, a data and analytics platform serving the retail and consumer packaged goods (CPG) ecosystem, announced the hiring of Chris Oswald as Chief Technology Officer. Oswald will lead the company's global technology strategy, platform innovation, and engineering organization, bringing experience from his prior roles at J.B. Hunt and Atlas Technology Group. The company stated that the hire reinforces its commitment to advancing its analytics platform for retail and CPG organizations.Lelezard/C O R R E C T I O N -- Engine/Engine Data Science, LLC announced the hiring of Chris Oswald as Chief Technology Officer to lead its global technology strategy and platform innovation. Oswald's experience includes leading large-scale data platform teams at J.B. Hunt and Atlas Technology Group.EngineEngineEngine Data Science announced a strategic partnership with Databricks to join its Built-on Partner Program, validating its architecture and leveraging Databricks' Data Intelligence Platform. The collaboration aims to enhance Engine's SaaS offerings in the Retail and CPG sectors by utilizing innovations such as Delta Sharing and Serverless technologies. This move allows Engine to scale its big data processing and AI capabilities while deepening customer integration across cloud environments.