List of Sift Science Digital Trust Platform Customers
San Francisco, 94105, CA,
United States
Since 2010, our global team of researchers has been studying Sift Science Digital Trust Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Sift Science Digital Trust Platform for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Sift Science Digital Trust Platform for ML and Data Science Platforms include: Estee Lauder, a United States based Consumer Packaged Goods organisation with 40470 employees and revenues of $14.33 billion, Wayfair, a United States based Retail organisation with 13500 employees and revenues of $12.20 billion, Montgomery Ward, a United States based Retail organisation with 37000 employees and revenues of $12.00 billion, Airbnb, a United States based Professional Services organisation with 7300 employees and revenues of $11.10 billion, Smashbox Cosmetics, a United States based Consumer Packaged Goods organisation with 42400 employees and revenues of $10.92 billion and many others.
Contact us if you need a completed and verified list of companies using Sift Science Digital Trust Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Machine Learning software purchases.
The Sift Science Digital Trust Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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1000 Friends Of Oregon | Non Profit | 15 | $2M | United States | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2020 | n/a |
In 2020, 1000 Friends Of Oregon implemented Sift Science Digital Trust Platform. The Sift Science Digital Trust Platform is deployed on the organization website in the United States and is categorized as ML and Data Science Platforms, supporting monitoring of web interactions and transaction flows across donation, membership signup, and advocacy engagement pages for a 15 person nonprofit.
The deployment leverages the Sift Science Digital Trust Platform’s ML-driven event level telemetry and risk scoring, configured through client side instrumentation and server side event feeds to assess account and transaction risk. Implemented functional capabilities include automated fraud and abuse scoring, device and behavioral fingerprinting, and configurable rule sets surfaced in administrative dashboards for operations staff. Governance centers on routing high risk events from donation and membership workflows to manual review, and the implementation positions 1000 Friends Of Oregon Sift Science Digital Trust Platform ML and Data Science Platforms as the primary online trust and fraud management control on the public website.
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99designs USA | Professional Services | 150 | $15M | United States | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2021 | n/a |
In 2021, 99designs USA implemented Sift Science Digital Trust Platform on its public website. Sift Science Digital Trust Platform is being used as an ML and Data Science Platforms solution to instrument web events and provide real-time risk scoring for customer facing flows, aligning the application with trust and safety, payments, and account security functions.
The implementation centers on event stream collection from the website, feeding Sift Science Digital Trust Platform for behavioral analytics, device and browser signals, and machine learning driven risk scoring. Configuration emphasizes score based decisioning and workflow orchestration, with rulesets and automated signals exposed to backend decision points such as order review and account creation flows. Operational ownership is described as centralized within trust and safety and fraud operations, with a staged rollout across high risk web touchpoints and governance focused on rules lifecycle and model signal tuning.
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A Little Bud Cannabis | Retail | 45 | $12M | Canada | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2022 | n/a |
In 2022, A Little Bud Cannabis implemented Sift Science Digital Trust Platform. The Sift Science Digital Trust Platform is deployed on the company website as part of an ML and Data Science Platforms implementation to monitor digital trust signals and manage risk in online customer interactions.
The deployment uses client side event instrumentation and server side API event ingestion to feed real time risk scoring and behavioral analytics, consistent with ML and Data Science Platforms capabilities. Configuration focused on rules based automation, real time scoring, and policy thresholds to inform decisioning for checkout and account activity. The implementation emphasized modular configuration to align fraud detection, account protection, and session risk assessment workflows with retail checkout flows.
Operational scope centers on the online retail function across A Little Bud Cannabis website and the customer support processes that review flagged events, reflecting a compact architecture appropriate for a 45 person retailer. Governance was structured around signal tuning and staged rollout to monitoring before enforcement, with team level ownership for policy reviews. A Little Bud Cannabis Sift Science Digital Trust Platform ML and Data Science Platforms business function is realized by embedding automated risk decisions into web transaction processing and customer interaction workflows.
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Leisure and Hospitality | 4000 | $350M | United States | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2020 | n/a |
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Distribution | 10 | $1M | Saudi Arabia | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2022 | n/a |
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Consumer Packaged Goods | 10 | $1M | Saudi Arabia | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2021 | n/a |
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Non Profit | 10 | $1M | United States | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2023 | n/a |
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Retail | 3483 | $701M | Japan | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2024 | n/a |
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Professional Services | 7300 | $11.1B | United States | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2021 | n/a |
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Retail | 10 | $1M | Saudi Arabia | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2023 | n/a |
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Buyer Intent: Companies Evaluating Sift Science Digital Trust Platform
- Treatspace, a United States based Communications organization with 12 Employees
- Coprosys, a Czech Republic based Communications company with 30 Employees
- Uplers USA, a United States based Professional Services organization with 100 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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