AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Semantic Scholar Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Greenhouse Legacy Greenhouse ATS Applicant Tracking System HCM n/a 2021 2021
Digital Adoption HCM 2021 2021
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Allen Institute For Artificial Intelligence Legacy Ai2 Semantic Scholar Natural Language Processing AI-Powered Application n/a 2019 2019
In 2019 Semantic Scholar implemented Ai2 Semantic Scholar on its public Website, embedding Ai2 Semantic Scholar discovery and search capabilities into the organization’s web properties. The deployment centered on exposing scholarly search, paper detail pages, author profiles, and citation-aware relevance across site content to support research discovery workflows for external users. Configuration work included instrumenting the Ai2 Semantic Scholar search surface for site-facing queries, integrating REST-style retrieval calls into page templates, and configuring indexing cadence and metadata mapping to align internal content schemas with the application’s document model. Functional modules implemented included full-text and metadata search, citation graph linking, relevance ranking, and author and paper profile rendering, consistent with common scholarly search and discovery capabilities. Operational scope targeted the Website as the primary channel, with product and content teams responsible for ongoing content mapping, taxonomy adjustments, and indexing governance. Rollout governance emphasized update cadence and content quality controls to maintain index accuracy, and monitoring was focused on query performance and content coverage rather than back-end system replacement activities.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2015 2015
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Analytics CRM 2023 2023
Digital Advertising Platform CRM 2019 2019
Marketing Analytics CRM 2016 2016
Marketing Analytics CRM 2017 2017
Marketing Automation CRM 2021 2021
Tag Management CRM 2019 2019
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2023 2023
PPM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Project Portfolio Management PPM 2014 2014
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2024 2024
Transactional Email PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2024 2024
Content Delivery Network IaaS 2024 2024
Content Delivery Network IaaS 2024 2024
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2023 2023
Web Application Firewalls (WAF) CyberSecurity 2023 2023
IT Decision Makers and Key Stakeholders at Semantic Scholar
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Semantic Scholar Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Semantic Scholar Technographics

Semantic Scholar is a Professional Services organization based in United States, with around 54 employees and annual revenues of $5.0 million.

Semantic Scholar operates a diverse technology stack with applications such as Greenhouse ATS, Ai2 Semantic Scholar and Google Workspace (Formerly Google G-Suite), covering areas like Applicant Tracking System, Natural Language Processing and Collaboration.

Semantic Scholar has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Greenhouse, Allen Institute For Artificial Intelligence and Google.

Semantic Scholar recently adopted applications including Amazon Lambda in 2024, Amazon EC2 in 2024 and Amazon CloudFront in 2024, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Semantic Scholar’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Semantic Scholar’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 Semantic Scholar technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.