Datalogue
Datalogue was a New York-based AI startup (founded 2016) that automated enterprise data preparation with consumer intelligence and supply chain optimization capabilities. It was acquired by Nike around 2020 as part of Nike's 'buy, don't build' AI ecosystem buildout.
- Company typePrivate
- Founded2016
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Datalogue does
Datalogue was a New York-based, venture-backed artificial intelligence company founded in 2016 that specialized in automating data preparation for enterprise customers. Its core technology combined data capture and integration across multiple sources with AI-powered consumer intelligence and predictive supply chain optimization, targeting large enterprise retail and consumer brand customers that struggled with fragmented data systems and lacked real-time consumer insight. The company operated with a small team (11-50 employees), raised approximately $4.75M in cumulative funding across 2016-2019 from investors including Bloomberg Beta, Flybridge, NVIDIA, Big Red Ventures, Red Bear Angels, and Creative Destruction Lab, and pursued a B2B enterprise field sales motion.
The company's strategic endpoint was its acquisition by Nike around 2020 as part of Nike's 'buy, don't build' AI strategy and Consumer Direct Acceleration initiative. Nike absorbed Datalogue alongside three other targets — Invertex, Zodiac, and Celect — to construct a full-stack AI ecosystem spanning data capture, consumer intelligence, and supply chain optimization in support of its direct-to-consumer transformation. Post-acquisition, Datalogue operates as an integrated component of Nike's internal technology stack rather than as an independent revenue-generating entity, and no standalone product, pricing, or revenue disclosures are available. Note: the datalogue.io domain currently hosts unrelated third-party blog content (eLog-Data) and is not representative of the original Datalogue entity analyzed here.
Datalogue firmographics
Firmographics- Name
- Datalogue
- Legal name
- Datalogue
- Website
- https://datalogue.io
- Company type
- Private
- Founded year
- 2016
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- Datalogue was a New York-based AI startup (founded 2016) that automated enterprise data preparation with consumer intelligence and supply chain optimization capabilities. It was acquired by Nike around 2020 as part of Nike's 'buy, don't build' AI ecosystem buildout.
- Ownership category
- akta.pro rank
Datalogue industry classification
Industry- Product category
- AI Data Preparation Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Training Data Management, Versioning & Lineage (HDAAALAD)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Data Monetization & Data Products Services (BPAEAHAL)
Keywords
Where Datalogue is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Markets served
Datalogue business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- Enterprise Technology Licensing: Datalogue's AI and data technology was commercialized through acquisition by Nike, becoming part of Nike's internal technology stack for digital transformation
Go-to-market motion1 record
Distribution channels1 record
Datalogue product offering
Product offeringCore offering
Datalogue used artificial intelligence to automate data preparation, providing capabilities for capturing and integrating data from multiple sources, a consumer intelligence platform for analyzing consumer behavior and preferences, and supply chain optimization via predictive analytics. The technology was sold as an enterprise AI/data stack to large organizations and, most prominently, was acquired by Nike to support its direct-to-consumer digital transformation.
Product overview
Datalogue was an acquired technology company that provided data and AI capabilities. Based on the source material, Datalogue was one of Nike's strategic acquisitions (alongside Zodiac and Celect) for data and AI capabilities as part of Nike's Consumer Direct Offense and Consumer Direct Acceleration initiatives. The company contributed to Nike's full-stack AI ecosystem spanning data capture, consumer intelligence, and supply chain optimization. No detailed product specifications, individual product names, or service offerings were available in the source material.
Differentiator
Problem solved
Functional benefit
Products and services
- Datalogue Data Preparation & Consumer Intelligence Platform AI-driven enterprise data preparation platform combining Data Capture and Integration, a Consumer Intelligence Platform, and Supply Chain Optimization via predictive analytics. Sold/license to large enterprise retail and consumer brand customers; the only confirmed customer was Nike, which acquired the company as part of its direct-to-consumer digital transformation.
Companies that use Datalogue
Customer profileNamed customers1 record
Segments1 record
Ideal customer profiles1 record
Datalogue technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature3 records
Datalogue partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- NikecoreNike acquired Datalogue as part of its 'buy, don't build' strategy to create a full-stack AI ecosystem. Datalogue's data capture and consumer intelligence technology was integrated into Nike's broader digital transformation initiatives alongside other acquisitions including Invertex, Zodiac, and Celect, enabling enhanced supply chain optimization and personalized customer experiences.
Scale indicators1 record
Recent moves4 records
Expansion highlights3 records
Datalogue competitors and assessment
Company assessmentBroad incumbents
- AWS Glue: Hyperscaler-native serverless data integration and ETL service that competes directly with standalone data prep tools like Datalogue on price, scale, and ecosystem integration inside AWS-hosted enterprises.
- Databricks: Unified data, analytics, and AI platform built on the lakehouse architecture. Increasingly competing in the same enterprise data preparation and AI workflow space Datalogue occupied, with far greater scale and capital.
- Informatica: Market-leading enterprise data integration, data quality, and master data management suite. Represents the scaled incumbent alternative for the same data preparation and integration use cases Datalogue addressed.
- Talend: Enterprise data integration and data quality platform (acquired by Qlik). Overlaps with Datalogue's data preparation, integration, and governance capabilities for enterprise data teams.
- Alteryx: Broad analytics and data preparation platform serving enterprise customers across multiple industries. Operates at a much larger scale than Datalogue but offers overlapping data prep and transformation capabilities for similar enterprise buyers.
Emerging players
- Tamr: AI-native data mastering and unification platform for enterprise data at scale. Comparable to Datalogue in applying machine learning to data integration workflows, with a similar enterprise go-to-market and Series-stage profile.
- Dataiku: Enterprise AI and machine learning platform with strong data preparation, feature engineering, and MLOps capabilities. Comparable in applying AI to enterprise data workflows and serving large enterprise customers with consumer/retail verticals.
Direct peers
- Trifacta: AI-driven data preparation and wrangling platform targeting enterprise data teams. Closest direct analog to Datalogue's 'automate data preparation' positioning; ultimately acquired by Alteryx in 2021, mirroring Datalogue's outcome as an absorbed enterprise capability.
- Celect: MIT-spinout predictive analytics and demand forecasting platform for retail supply chains, acquired by Nike in the same 2019–2020 AI ecosystem wave as Datalogue. The most directly comparable peer given overlapping retail supply chain focus and identical Nike acquisition pathway.
- Paxata: Self-service data preparation platform with adaptive data quality and governance capabilities. Directly comparable product category to Datalogue, also acquired by a larger platform (DataRobot), indicating the consolidation pattern of AI-native data prep startups.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks5 records
Key highlights5 records
Customer concentration
Datalogue social profiles
Digital presenceDatalogue financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datalogue leadership team
Management profileNumber of profiles
Datalogue funding detail
Funding detailFunding overview
Funding rounds6 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datalogue 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 Datalogue
What does Datalogue do?
Datalogue used artificial intelligence to automate data preparation, providing capabilities for capturing and integrating data from multiple sources, a consumer intelligence platform for analyzing consumer behavior and preferences, and supply chain optimization via predictive analytics. The technology was sold as an enterprise AI/data stack to large organizations and, most prominently, was acquired by Nike to support its direct-to-consumer digital transformation.
Is Datalogue a public or private company?
Datalogue is a private company. It is classified as corporate owned and is currently acquired.
When was Datalogue founded?
Datalogue was founded in 2016. It employs 11 to 50 people.
Where is Datalogue based?
Datalogue is headquartered in New York, United States, in the North America region.
How does Datalogue make money?
One revenue line is on record: enterprise Technology Licensing.
Who are Datalogue's main competitors?
Broad incumbents on record are AWS Glue, Databricks, Informatica, Talend and Alteryx. Emerging players are Tamr and Dataiku. Direct peers are Trifacta, Celect and Paxata.
Does Datalogue have an API?
No public API is recorded for Datalogue.
What industry is Datalogue in?
Datalogue's product category is AI Data Preparation Software. Its primary akta.pro industry code is HDAAALAD, Training Data Management, Versioning & Lineage, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 51821 and its SIC code is 7374.