AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Tatic Alice Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
BANCO BMG S.A. Banking and Financial Services 4000 $370M Brazil Tatic Tatic Alice ML and Data Science Platforms 2021 n/a In 2021, BANCO BMG S.A. is listed by Tatic as a customer of Tatic Alice, an ML and Data Science Platforms solution positioned to accelerate algorithm development and analytics for business performance in the financial services sector. The listing links BANCO BMG S.A. to Tatic Alice and frames the relationship as one between a bank, an AI/ML application, and analytics-driven business functions. Tatic Alice is described by the vendor as an AI and machine learning platform and is expected to provide core ML and Data Science Platforms capabilities such as collaborative model development workspaces, feature engineering and feature store workflows, experiment tracking and model registry, automated training pipelines, and model deployment orchestration. The product descriptions emphasize support for end to end model lifecycle management and reproducible analytics workflows, which align with standard platform capabilities for algorithm development and productionization. At BANCO BMG S.A., usage is inferred to focus on business performance analytics and algorithm development for financial services use cases, with adoption concentrated in data science and analytics teams supporting commercial and performance functions. Governance and process changes implied by the platform description include introduction of model lifecycle governance, role based access controls for data scientists, versioned experiment tracking, and standardized deployment workflows to operationalize models. This narrative is grounded on Tatic public product descriptions and the vendor listing of the BANCO BMG S.A. logo on the Tatic site, there is no published Banco BMG case study available to corroborate implementation details beyond the vendor representation of Tatic Alice.
Claro Colombia Communications 10000 $3.5B Colombia Tatic Tatic Alice ML and Data Science Platforms 2020 n/a In 2020, Claro Colombia implemented Tatic's Dora data-compression and data-management solution, with vendor documentation noting integration with Tatic Alice. The Dora deployment targeted storage for voice, roaming, billing and event data to reduce storage costs and speed access, delivering up to 90% compression and an estimated US$5M in savings according to Tatic's 2021 case study. The vendor-level integration between Dora and Tatic Alice implies use of Tatic Alice for analytics and machine learning workflows applied to telecom operations and compliance data. This places Tatic Alice explicitly within Claro Colombia's ML and Data Science Platforms footprint. Architecturally, the implementation positions Dora as a data management and compression layer feeding Claro Colombia's analytics pipelines, improving access performance for large telco datasets while offloading storage burden, and Tatic Alice serves as the analytics and ML tooling integrated into those pipelines. Implemented capabilities focus on high-ratio compression, centralized data management and accelerated query access consistent with ML and Data Science Platforms functionality. Operational impact covers telecom operations, billing and roaming analytics, and compliance reporting, with governance and data retention processes adjusted to accommodate compressed data storage and faster analytical access. Integrations are explicitly documented between Dora and analytics tools including Tatic Alice, supporting inference of combined use for feature engineering, model development and operational reporting within Claro Colombia.
Grupo Pão de Açúcar (GPA) Retail 39320 $3.8B Brazil Tatic Tatic Alice ML and Data Science Platforms 2021 n/a In 2021, Grupo Pão de Açúcar, known as GPA, appears on Tatic’s client list and is associated with the Tatic Alice application in the ML and Data Science Platforms category. Public vendor materials do not include a Tatic case study explicitly naming Alice for GPA, therefore the presence of Tatic Alice at GPA is inferred from Tatic’s client listing and product pages rather than from a named customer case study. This narrative treats that client listing as the primary signal linking Grupo Pão de Açúcar to Tatic Alice for retail analytics and operational optimization. Inferred implementation patterns consistent with Tatic’s positioning and the ML and Data Science Platforms category indicate Tatic Alice would be used to deliver retail analytics, model development and operational scoring workflows supporting demand forecasting, assortment analytics, price and promotion analysis and store operations optimization. Typical configuration for such a retail deployment includes data ingestion and feature engineering pipelines, model training and experiment tracking, model serving or scheduled batch scoring, and analytics dashboards to inform merchandising, supply chain and store operations decisions. Governance emphasis in these patterns often covers model lifecycle management and data quality controls to enable repeatable decisioning across commercial and operational functions. The relationship is therefore expressed as Grupo Pão de Açúcar using Tatic Alice, ML and Data Science Platforms, to support retail analytics and operational decision making, with the specific GPA deployment details inferred from vendor positioning rather than documented in a public case study.
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FAQ - APPS RUN THE WORLD Tatic Alice Coverage

Tatic Alice is a ML and Data Science Platforms solution from Tatic.

Companies worldwide use Tatic Alice, from small firms to large enterprises across 21+ industries.

Organizations such as Grupo Pão de Açúcar (GPA), Claro Colombia and BANCO BMG S.A. are recorded users of Tatic Alice for ML and Data Science Platforms.

Companies using Tatic Alice are most concentrated in Retail, Communications and Banking and Financial Services, with adoption spanning over 21 industries.

Companies using Tatic Alice are most concentrated in Brazil and Colombia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Tatic Alice across Americas, EMEA, and APAC.

Companies using Tatic Alice range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Tatic Alice include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Tatic Alice customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.