AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Scale AI Tech Stack and Enterprise Applications

Scale AI ERP
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle NetSuite ERP ERP Financial ERP n/a 2021 2021
In 2021 Scale AI implemented Oracle NetSuite ERP as its core finance system, deploying the application to address transactional accounting and financial reporting under the ERP Financial category. The rollout focused on centralizing Finance and Accounting workflows to provide a single source for transactional posting, period close activity, and statutory and management reporting across the organization. Oracle NetSuite ERP was configured to support standard ERP Financial capabilities including general ledger processing, accounts payable automation, accounts receivable and billing, revenue recognition workflows, journal entry controls, and financial consolidation and reporting constructs typical of an enterprise accounting stack. Configuration work emphasized chart of accounts rationalization, automated journal creation for recurring transactions, and structured invoice to cash and procure to pay processes to reduce manual reconciliation effort. The ERP was instrumented to feed transactional and master data into Scale AIs analytics environment, enabling integration with the central data warehouse and Tableau based dashboards. Data Engineering and Data Science collaboration was part of the implementation, with SQL and Python driven data pipelines and models used to convert NetSuite financial data into analytical tables and dashboards that support Finance, Accounting, Sales and cross functional operational planning. Governance and operational change accompanied the technical deployment, with business stakeholders engaged in roadmap planning, requirements definition and project governance to align financial metrics and reporting ownership. A Senior Data Analyst role was established to build the finance analytics vertical, create scalable data assets and dashboards, and to enable stakeholders on best practices, a change that is described as directly evolving how Scale AI operates and measures itself.
Scale AI HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Employ Legacy Lever by Employ Applicant Tracking System HCM n/a 2019 2019
In 2019, Scale AI implemented Lever by Employ as its Applicant Tracking System. Lever by Employ was deployed to drive job postings and candidate capture on Scale AI's website, supporting recruiting and talent acquisition workflows across the organization. The deployment used Lever by Employ's cloud hosted SaaS architecture and standardized core modules for requisition management, candidate pipeline management, interview scheduling, offer management, and reporting and analytics. The implementation centralized candidate records and hiring stage definitions to align recruiters and hiring managers within a single recruiting workflow. Operational scope covered Scale AI recruiting and talent acquisition teams responsible for roles published on the public careers site. Because Lever by Employ is embedded on the website, application intake and resume parsing feed directly into the Applicant Tracking System, enabling consistent candidate routing and staged evaluation.
Scale AI AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Cohere Legacy Cohere Command R Generative AI Platforms AI Development n/a 2024 2024
In 2024, Scale AI integrated Cohere Command R into its GenAI Platform to power customer support and knowledge-management applications, using the Generative AI Platforms capabilities to operationalize retrieval-augmented generation workflows in the United States. Cohere Command R was adopted as the primary model layer for retrieval-augmented generation tasks, enabling unified handling of document retrieval, contextual grounding, and natural language response synthesis within Scale AI’s platform. The implementation centered on standard RAG functional modules including an indexing and retrieval layer, embedding generation, and response synthesis orchestration that executes model inference with contextual retrieval. Cohere Command R was used to drive the response generation module while the platform maintained separate pipelines for knowledge ingestion and vector indexing, aligning with Generative AI Platforms practices for modular model and data separation. Integration occurred inside Scale AI’s GenAI Platform, with operational coverage focused on customer support teams and knowledge-management workflows across US-based operations. Deployment architecture emphasized model hosting and inference integration into existing support tooling and knowledge stores, with model invocation and retrieval processes embedded into support ticket and KB search flows to surface grounded answers. Governance efforts aligned with application-level controls for retrieval accuracy and prompt orchestration, and the program emphasized cost containment as a stated objective. The engagement explicitly aimed to optimize total cost of ownership while maintaining high performance, using Cohere Command R to balance retrieval-augmented generation quality and operational efficiency for Scale AI’s customer support and knowledge management functions.
Scale AI AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Chatbots and Conversational AI AI-Powered Application 2021 2021
Scale AI Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Audio Video and Web Conferencing Collaboration 2020 2020
Collaboration Collaboration 2019 2019
Scale AI Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Contract Lifecycle Management Content Management 2020 2020
Digital Signing Content Management 2022 2022
Scale AI CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Account Based Marketing CRM 2022 2022
Account Based Marketing CRM 2021 2021
Customer Data Platform CRM 2019 2019
Customer Experience CRM 2022 2022
Customer Experience CRM 2019 2019
Customer Experience CRM 2021 2021
Digital Advertising Platform CRM 2021 2021
Digital Advertising Platform CRM 2022 2022
Digital Advertising Platform CRM 2020 2020
Marketing Analytics CRM 2021 2021
Marketing Automation CRM 2021 2021
Marketing Automation CRM 2020 2020
Marketing Automation CRM 2020 2020
Sales Automation, CRM, Sales Engagement CRM 2021 2021
Scale AI ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
IT Service Management ITSM 2020 2020
Scale AI PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
API Management, iPaaS (Integration Platform as a Service) PaaS 2020 2020
Transactional Email PaaS 2020 2020
Scale AI IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2019 2019
Application Hosting and Computing Services IaaS 2019 2019
Cloud Storage IaaS 2021 2021
Content Delivery Network IaaS 2019 2019
Content Delivery Network IaaS 2019 2019
Database Management, Open-Source Database IaaS 2022 2022
Scale AI CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2021 2021

IT Decision Makers and Key Stakeholders at Scale AI

First Name Last Name Title Function Department Email Phone
Head of Compliance Director Finance
Human Resources Manager Manager HR
Corporate Counsel CXO Finance
Corporate Counsel CXO Finance

Apps Being Evaluated by Scale AI Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Scale AI IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Scale AI digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Scale AI Technographics
Scale AI is a Professional Services organization based in United States, with around 450 employees and annual revenues of $70.0 million.
Scale AI operates a diverse technology stack with applications such as Oracle NetSuite ERP, Lever by Employ and Cohere Command R, covering areas like ERP Financial, Applicant Tracking System and Generative AI Platforms.
Scale AI has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Oracle, Employ and Cohere.
Scale AI recently adopted applications including Cohere Command R in 2024, DocuSign eSignature in 2022 and 6sense Account Engagement Platform in 2022, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Scale AI’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Scale AI’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Scale AI technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.