List of Sift Science Digital Trust Platform Customers
Sift Science
525 Market St Suite 600,
San Francisco, 94105, CA,
United States
San Francisco, 94105, CA,
United States
1 415-882-7709
Professional Services
340
$80M
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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A&W Restaurants, Inc. | Leisure and Hospitality | 4000 | $350M | United States | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2020 | n/a |
In 2020, A&W Restaurants, Inc. implemented Sift Science Digital Trust Platform on their website. The Sift Science Digital Trust Platform was deployed in the ML and Data Science Platforms category to instrument customer touchpoints on awrestaurants.com and establish automated risk signaling for online ordering and customer interactions.
Configuration focused on core digital trust capabilities common to the category, including behavioral profiling, device and session telemetry ingestion, model driven risk scoring, automated decisioning through policy rules, and analyst case management dashboards. The deployment of Sift Science Digital Trust Platform included pipelines for feature ingestion and model scoring, and configuration of policy engines to convert risk scores into allow, challenge, or review actions.
Integrations were delivered through client side instrumentation and server side API calls to surface risk signals during checkout and account interactions, embedding scoring into order and payment decision flows on the public website. The implementation's operational scope is web centric, affecting ecommerce, payments, and customer support functions that interact with flagged transactions and analyst review queues.
Governance was organized to centralize decision policies and escalation workflows, with staged rollout across the site and operational handoff to risk analysts for rule tuning and model monitoring. Sift Science Digital Trust Platform supports ongoing monitoring and feedback to refine detection logic and sustain model performance over time.
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Abdulrahman Khalaf Al Sharida For Pots | Distribution | 10 | $1M | Saudi Arabia | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2022 | n/a |
In 2022, Abdulrahman Khalaf Al Sharida For Pots deployed Sift Science Digital Trust Platform on its website. The implementation uses the Sift Science Digital Trust Platform within the ML and Data Science Platforms category to instrument customer facing sessions and enable automated risk scoring for online interactions.
Deployment focused on client side web instrumentation to capture device signals and behavioral data, with event feeds feeding Sift models for real time risk assessment. Functional capabilities implemented include behavioral analytics, automated trust scoring and decisioning, device intelligence and session risk assessment, reflecting standard digital trust and fraud detection workflows. Configuration work emphasized event enrichment and real time scoring rules to support automated decisions during account creation and checkout flows.
Operational scope is limited to the company website and customer facing online channels in Saudi Arabia, aligned to the companys distribution business and 10 employee footprint. Business functions impacted include online operations, customer service and order review processes through use of Sift Science Digital Trust Platform risk signals. Integration points are confined to website instrumentation and internal event routing, with risk signals feeding manual review queues and automated flagging logic.
Governance was adjusted for centralized oversight by the online operations function, with thresholds and escalation paths configured inside the Sift Science Digital Trust Platform to drive consistent trust decisions and reviewer workflows. The narrative reflects a small scale, site centric rollout that leverages ML driven scoring to surface high risk sessions for manual handling.
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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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Showing 1 to 10 of 483 entries
Buyer Intent: Companies Evaluating Sift Science Digital Trust Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Sift Science Digital Trust Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Sift Science Digital Trust Platform for ML and Data Science Platforms include:
- Abacus.Ai, a United States based Professional Services organization with 160 Employees
- Treatspace, a United States based Communications company with 12 Employees
- Coprosys, a Czech Republic based Communications organization with 30 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Sift Science Digital Trust Platform Coverage
Sift Science Digital Trust Platform is a ML and Data Science Platforms solution from Sift Science.
Companies worldwide use Sift Science Digital Trust Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Estee Lauder, Wayfair, Montgomery Ward, Airbnb and Smashbox Cosmetics are recorded users of
Sift Science Digital Trust Platform for ML and Data Science Platforms.
Companies using Sift Science Digital Trust Platform are most concentrated in Consumer Packaged Goods, Retail and Professional Services, with adoption spanning over 21 industries.
Companies using Sift Science Digital Trust Platform are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Sift Science Digital Trust Platform across Americas, EMEA, and APAC.
Companies using Sift Science Digital Trust Platform range from small businesses with 0-100 employees - 63.35%, to mid-sized firms with 101-1,000 employees - 26.92%, large organizations with 1,001-10,000 employees - 8.07%, and global enterprises with 10,000+ employees - 1.66%.
Customers of Sift Science Digital Trust Platform 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 Sift Science Digital Trust Platform 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.