AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Grammarly Tech Stack and Enterprise Applications

ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
PayPal Legacy PayPal Braintree Payment Processing ERP Financial Management n/a 2015 2015
In 2015, Grammarly integrated PayPal Braintree for Payment Processing on its public website. The integration handles customer checkout and subscription payment flows, with PayPal Braintree serving as the payment gateway for card and PayPal transactions. Implementation touches both client side payment collection and server side tokenization and authorization endpoints to support secure transaction processing. Operational scope covers customer facing purchase pages and recurring billing processes, impacting billing and finance functions within Grammarly. The PayPal Braintree Payment Processing integration follows category standard patterns such as client side SDKs, tokenization of payment instruments, and hosted payment endpoints to reduce PCI scope. Governance and release coordination are managed alongside web engineering and finance teams to control checkout configuration and payment policy changes.
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Greenhouse Legacy Greenhouse ATS Applicant Tracking System HCM n/a 2018 2018
In 2018, Grammarly implemented Greenhouse ATS. Greenhouse ATS is deployed as the Applicant Tracking System to support Grammarly's recruiting and talent acquisition functions across its hiring teams. The Greenhouse ATS deployment is configured to publish job openings directly to Grammarly's careers site, capture applicant flow through configurable candidate pipelines, and manage requisitions and offer workflows. The Greenhouse ATS implementation leverages standard applicant tracking capabilities including interview scheduling, structured interview scorecards, candidate stage management, and recruiting dashboards to provide operational visibility into open roles and candidate progress. Governance for the Greenhouse ATS configuration centers on centralized requisition approvals and role based access for recruiters and hiring managers, with standardized interview kits and scorecard templates to enforce consistent evaluation criteria. Operational ownership resides with talent acquisition and HR teams, with the system embedded on Grammarly's website to intake external applicants and route them into Greenhouse ATS pipelines.
Employee Experience HCM 2020 2020
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Amazon Web Services (AWS) Legacy Amazon SageMaker ML and Data Science Platforms AI Development n/a 2016 2017
In 2016, Grammarly deployed Amazon SageMaker as its ML and Data Science Platforms environment to support distributed TensorFlow model training. The deployment runs on Amazon Web Services (AWS) and is used to develop, train, and serve machine learning models that support both server-side inference and client-side inference for Grammarly's iOS and Android applications. Grammarly leverages distributed training capabilities and uses interactive Jupyter notebooks as the primary experimentation and orchestration surface. Training jobs are launched from the notebook environment and produce model artifacts that are persisted to Amazon S3 for artifact versioning and downstream consumption. Workflows integrate Amazon EMR for preprocessing, enabling teams to filter and prepare Amazon S3 data via EMR initiated from the same Jupyter notebook before launching training in Amazon SageMaker. Inference is handled flexibly, either by hosting models on Amazon SageMaker endpoints for server-side serving, or by downloading model artifacts from Amazon S3 for on-device inference in mobile implementations. Governance and operational structure center on notebook-driven orchestration, S3-based artifact management, and clear separation of preprocessing, training, and serving responsibilities across Amazon EMR, Amazon SageMaker, and client runtime environments. This architecture supports multiple production pathways and aligns ML development workflows with deployment choices across server and mobile execution.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Chatbots and Conversational AI AI-Powered Application 2019 2019
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2011 2011
Collaboration Collaboration 2023 2023
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Signing Content Management 2021 2021
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Account Based Marketing CRM 2022 2022
Customer Experience CRM 2016 2016
Customer Experience CRM 2021 2021
Customer Support CRM 2014 2014
Customer Support CRM 2017 2017
Data Management Platform CRM 2018 2018
Digital Advertising Platform CRM 2021 2021
Digital Advertising Platform CRM 2013 2013
Marketing Automation CRM 2022 2022
Marketing Automation CRM 2020 2020
Sales Automation, CRM, Sales Engagement CRM 2022 2022
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Incident Management ITSM 2018 2018
IT Service Management ITSM 2021 2021
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Governance, Risk and Compliance TRM 2021 2021
Governance, Risk and Compliance TRM 2021 2021
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Open-Source Database PaaS 2019 2019
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2014 2014
Content Delivery Network IaaS 2016 2016
Content Delivery Network IaaS 2019 2019
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Security (AppSec) CyberSecurity 2020 2020
Identity and Access Management (IAM) CyberSecurity 2021 2021

IT Decision Makers and Key Stakeholders at Grammarly

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Grammarly Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Grammarly IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Grammarly digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Grammarly Technographics
Grammarly is a Professional Services organization based in United States, with around 1000 employees and annual revenues of $250.0 million.
Grammarly operates a diverse technology stack with applications such as PayPal Braintree, Greenhouse ATS and Amazon SageMaker, covering areas like Payment Processing, Applicant Tracking System and ML and Data Science Platforms.
Grammarly has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as PayPal, Greenhouse and Amazon Web Services (AWS).
Grammarly recently adopted applications including Poly Lens in 2023, Zoominfo Platform in 2022 and Salesforce Marketing Cloud in 2022, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Grammarly’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Grammarly’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 Grammarly technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.