AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Kofera Tech Stack and Enterprise Applications

Kofera AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Cloud Machine Learning Engine ML and Data Science Platforms AI Development n/a 2016 2017
In 2016 Kofera implemented Google Cloud Machine Learning Engine as a core component of its ML and Data Science Platforms deployment to support model training and testing within its product and campaign workflows. The implementation is explicitly centered on Google Cloud Machine Learning Engine for training and testing machine learning algorithms and sits alongside other Google Cloud Platform services in the company architecture. Google Compute Engine hosts the company Ruby on Rails web application and provides development, testing and staging environments, as well as compute capacity used for training and testing data for machine learning workflows. Google App Engine runs Kofera’s code for microservices based campaign building and optimization applications deployed to a container based environment, and App Engine is used to clean, transform and select data prior to ingestion into downstream stores. All application services communicate using REST API interfaces to coordinate processing and orchestration across services. Google Cloud Storage provides object storage for web application asset files, client uploaded datafeeds, archived client reports and serving data for model training. A Cloud SQL database hosts user management, payment transaction records, web application configuration and session data. Cloud Bigtable manages attribute and dimension data, notification records and geographical data, while Cloud DataStore holds campaign builder data, application task status, application error description logs and product category information. The deployment scope includes application, data processing and machine learning pipelines across dev, test, staging and production environments, with container based microservice deployments on App Engine and compute intensive workloads on Compute Engine. Kofera completed the migration to Google Cloud Platform in February 2017, and the overall architecture centralizes data preparation, storage and ML model training around Google Cloud Machine Learning Engine within the ML and Data Science Platforms stack.
Kofera Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2016 2016
In 2016, Kofera implemented Google Workspace (Formerly Google G-Suite) to centralize Collaboration capabilities across the organization. The deployment applied Google Workspace to the company domain for a 40-employee professional services firm in Indonesia, aligning core communication and document workflows with a hosted collaboration platform. Configuration centered on standard Google Workspace components, including Gmail for domain email, Google Drive for file storage and controlled sharing, Google Docs and Sheets for collaborative authoring, Google Calendar for scheduling, and the Google Workspace Admin console for user and policy management. The implementation emphasized account provisioning, group structures for access control, and shared drive organization to support team-based collaboration workflows. Operational coverage included company-wide adoption across client delivery, sales, and administrative functions, with centralized administration used to enforce account lifecycle processes and domain-level settings. Governance focused on role-based provisioning and centralized management through the Admin console, embedding collaboration tooling into Kofera’s everyday business functions while retaining control at the domain level.
Kofera CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Intuit Legacy Intuit Mailchimp Marketing Automation CRM n/a 2018 2018
In 2018, Kofera deployed Intuit Mailchimp as its Marketing Automation platform to manage website-driven subscriber capture and campaign distribution. The Intuit Mailchimp implementation is embedded on Kofera's public website, where web forms feed subscriber data into Mailchimp audiences and enable campaign scheduling and template-based email sends. The implementation focuses on Marketing Automation capabilities common to the category, including audience management, list segmentation, email template libraries, campaign scheduling, and basic automation workflows for welcome and nurture sequences. Operational ownership sits with the marketing function, with the website integration providing the primary inbound touchpoint for customer engagement and lead capture, and the Intuit Mailchimp application serving as the central system for campaign orchestration and subscriber lifecycle management.
Kofera IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2016 2016
Application Hosting and Computing Services IaaS 2017 2017
Application Hosting and Computing Services IaaS 2019 2019
Content Delivery Network IaaS 2016 2016

IT Decision Makers and Key Stakeholders at Kofera

First Name Last Name Title Function Department Email Phone
Software Enginee Non Manager R&D
Business Development Manager Manager Sales

Apps Being Evaluated by Kofera Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Kofera IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Kofera digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Kofera Technographics
Kofera is a Professional Services organization based in Indonesia, with around 40 employees and annual revenues of $2.0 million.
Kofera operates a diverse technology stack with applications such as Google Cloud Machine Learning Engine, Google Workspace (Formerly Google G-Suite) and Intuit Mailchimp, covering areas like ML and Data Science Platforms, Collaboration and Marketing Automation.
Kofera has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Google and Intuit.
Kofera recently adopted applications including DigitalOcean Droplets in 2019, Intuit Mailchimp in 2018 and Google Cloud Platform (GCP) in 2017, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Kofera’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Kofera’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 Kofera technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.